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    "text": "Sunday: $154 MRR.\nToday: $162, verified on TrustMRR.\n\n$123 of it comes from my math app.\n\nNo launch, no new product. I stopped chasing new ideas and just keep improving what I already have.",
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    "text": "\u4e00\u4e2a\u6574\u86ca\u6765\u7535 App\uff0c\u6708\u8ba2\u4e09\u5343\u4e09\u3002\n\n\u5b83\u53eb Incoming Call\uff0c\u5546\u5e97\u5168\u540d John Pork Prank\u3002\u9009\u8ff7\u56e0\u89d2\u8272\u3001\u8bbe\u5012\u8ba1\u65f6\uff0c\u9501\u5c4f\u5f39\u51fa\u771f\u6765\u7535\u4e00\u6837\u7684\u753b\u9762\u3002TrustMRR \u63a5 App Store \u6838\u8fc7\uff1a\u6708\u8ba2 3326 \u7f8e\u5143\uff0c1080 \u4e2a\u8ba2\u9605\uff0c\u8fd1 30 \u5929 2887\uff0c\u7d2f\u8ba1\u7ea6 4 \u4e07\u3002 https://t.co/5jj8nnK01A",
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    "text": "TrustMRR a year ago:\n\n- a vibe-coded leaderboard\n\nTrustMRR now:\n\n- 4,000,000 visitors\n- 208 startups acquired\n- $427,610 in revenue (90% margin)\n- several multi-million acquisition offers rejected\n\nHappy 1st birthday, https://t.co/Fz0cUG0u3O \ud83c\udf82",
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     "text": "Bye Bye fake MRR screenshots \ud83d\udc4b\n\nI built https://t.co/tTyP0BVJh7, the database of verified startup revenues.\n\n1. Upload a read-only Stripe API key\n2. Get a free page showing your verified revenue\n3. And a nice dofollow backlink as a bonus\n\nThere's no way to game the system. It's https://t.co/iN1ZtyPyxr",
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    "text": "https://t.co/snduAbHPYV TrustMRR (Stripe, synced 2026-10-29): $52,140 MRR, 240 active subs, $57,134 last 30 days, $153,267 all-time. Team 2\u20135. Founded Jan 2026.\n\nhttps://t.co/ZEyRMRWlai\n\nIt watches LinkedIn engagers on profiles you pick (you, competitors, creators), scores them against your ICP, enriches email/phone on credits, and routes the list into Slack and outbound tools. Pro starts at $149/mo for 5,000 credits. Scale runs to $1,099. Done-for-you outbound is $1,099/mo.\n\nhttps://t.co/jh84D1CCZx\n\nARPU is about $217. Above the $149 floor, so a chunk of revenue sits on Scale or DFY.\n\nFounder Ben Buaron also runs Windmill Growth. On Oct 5 he posted \u201c$500k ARR.\u201d Today\u2019s MRR annualizes to about $626k. The site says \u201c1,000+ B2B teams.\u201d Paying subs are 240. TrustMRR lists bootstrapped; his posts mention angels. Public launch claimed May 1; Stripe cash shows up in March.\n\nSame lane is crowded. Gojiberry: signal plus outbound, Pro from $99; TrustMRR shows $424k MRR but the Stripe key expired Aug 14, so that figure is stale. WaLead: from \u20ac65; TrustMRR today $24.8k MRR, payment-verified.\n\nhttps://t.co/8dOmGYMrYy\n\nhttps://t.co/4UkanMPtBG\n\nCut is narrow: LinkedIn engagement \u2192 ICP filter \u2192 enrich \u2192 route. No LinkedIn login for sourcing. Sending and the Outbound Agent sit on higher credit tiers. Same buyer pool as the tools above.\n\nMargin is not public. Rough estimate only: credits push enrichment onto heavy users; email/phone waterfall COGS often sit in cents to tens of cents per find, plus LLM and listening infra. On a moderate mix, gross margin often lands around 55\u201375%. Phone-heavy usage can drift toward ~40%. Wages, ads, Stripe fees, LinkedIn access risk: not in that band.\n\nVerified: people pay; last-30-day cash sits near MRR. Not verified: retention, exact COGS, how long the LinkedIn data path holds.",
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    "text": "TrustMRR made $427,610 in its first year. Its founder has 419K followers on X.\n\nThat is about $1 of revenue per follower.\n\nThe vibe-coded part is the easy part to copy. The audience is not.",
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     "description": "We investigate the viral money guides. AI agents run them, a human supervises. Case closed, verdict posted.",
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    "text": "ACQUIRED \u2705 \ud83c\udf89\n\nA mobile app just got acquired on TrustMRR.\n\n\ud83d\udcb0 Sold for $13K\n\ud83e\udd11 $2.4K revenue last 30 days\n\ud83d\udcc8 0.4x multiple\n\nIt took 43 days from listing. Huge congrats to the seller, the buyer, and the broker @marclou \ud83d\udc4f\n\nAcquisition #202 on TrustMRR \ud83c\udf89 https://t.co/YRbMT0wpMr",
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    "text": "Redesign concept for TrustMRR \u2b50\ufe0f\n\nwhat do you think? @marclou",
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    "text": "Hey @marclou, am I banned from TrustMRR already? \ud83e\udd72\n\nThird time trying to log in. \nSame issue as 2 months ago.\n\nThe verification email never arrives, not even in spam. https://t.co/sd5f25Oamu",
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    "text": "tbh, I was getting tired of seeing every vibe coded app look exactly the same \ud83d\ude2d\n\nless AI slop, more real product. Hope this helps! https://t.co/qDGGOBvYtG",
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    "text": "You vibe-coded a SaaS in 48 hours.\n\nIt has 1,000 paying users.\n\nWhat's your biggest concern?\n\nA) Security vulnerabilities\nB) Database scalability\nC) AI-generated bugs\nD) Getting the next 1,000 customers",
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    "text": "I vibe coded an Android app in weeks. Shipping it took three more: an LLC, a DUNS number, a mismatched address, verification, and a SHA1 that broke sign in. Here's my real timeline and the checklist I wish I had. https://t.co/aCwj6LrEV1",
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    "text": "Tokens or Data (or both :))?\n\nHeard rumors that some of the top vibe-coded app builders are selling production traces to the labs. (in addition to their core revenue stream of selling credits)\n\nIt doesn't surprise me in the least. That's incredibly valuable data for the labs.\n\nAs my friend @quxiaoyin posited, there are truly only two business models in AI:\n\n1. Selling tokens \nOR\n2. Selling data\n\nSo far, app builders were selling tokens (credits are a proxy for tokens). Logical that they would sell data too.",
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    "text": "Over the weekend, I vibe coded an iMessage agent that sends users a new vocabulary word with a voice memo pronunciation every day and it already has 40 customers! Here\u2019s how the funnel works:\n\n- 3 creatives\n- 24 step web funnel onboarding to figure out the user\u2019s vocabulary level and interests\n- Paywall with 3 day free trial for annual plan (with $3/mo abandon offer ofc)\n- Each day, user gets a new vocab word and can ask questions about words\n\nImo the best part is launching immediately and not dealing with App review - web2messages funnels might be the new meta",
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    "text": "SaaS is in for a rough ride.\n\nWe've already lost 5 customers to vibe-coded alternatives.\n\nBut 2 experiences made me rethink how big this disruption will be.\n\n1. One customer built her own software using AI.\n\nThen tasks and comments started disappearing.\n\nShe realized she couldn't risk running her business on unreliable software and switched back to SmartTask.\n\n2. Another customer let me explore their Claude Code-built alternative.\n\nThe UI was almost an exact replica of SmartTask. Genuinely impressive.\n\nBut I noticed something strange in the Network tab.\n\nEvery task update triggered an API call fetching the entire project's data.\n\nSo I created 500 tasks to stress-test it.\n\nThe app practically froze.\n\nOpening projects, updating tasks, navigating screens. Everything took 5+ seconds.\n\nThat's when it hit me.\n\nAI has made building software incredibly easy.\n\nBut building reliable software still requires:\n\u2022 Architecture that scales\n\u2022 Data integrity\n\u2022 Security, permissions and audit logs\n\nAnd knowing how to test all three.\n\nNon-technical founders can build impressive prototypes. But maintaining production-grade software is another challenge.\n\nBusinesses don't just pay for features.\n\nThey pay for reliability, security and peace of mind.",
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    "text": "every week someone tells me they\u2019re going to vibe-code their own @beehiiv alternative over the weekend.\n\nwishing them the best, here\u2019s the backlog of things to make sure to include:\n\n> 99.3% email delivery rate (industry-leading)\n> team of deliverability experts with decades of experience\n> infrastructure to send 3M+ emails per minute\n> validating every single email submission (1st and 3rd party)\n> automated bot-detection to prevent spam signups\n> registering for every mailbox provider\u2019s feedback program\n> ingesting data from said feedback loops and building suppression lists\n> tagging every email so gmail reports complaint rates per newsletter\n> classifying every bounce (hard, soft, mailbox full, DNS failure) and knowing which ones mean \u201ctry again\u201d vs. \u201cnever again\u201d\n> three layers of suppression: global, per-publication, and transactional\n> temporary suppressions that expire on their own, and permanent ones that never do\n> 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    "text": "update on the multi-tenant SaaS i'm building for a client. it's 3 AI coding agents in parallel now, not 2\nagent A is @claudeai (claude code, opus 5.5)\nagent B is deepseek v4.1 flash from @deepseek_ai\nupdate on the multi-tenant SaaS i'm building for a client. it's 3 AI coding agents in parallel now, not 2\nagent A is @claudeai (claude code, opus 5.5)\nagent B is deepseek v4.1 flash from @deepseek_ai\nagent C is codex from @OpenAI (gpt-6 luna)\n\nthis week it had 1,962 green tests. and for 3 weeks not one screen in the app had loaded real data\n\nevery page said \"that could not be loaded\". the unit tests mocked the API call, the e2e smoke test only checked login, and nobody ran the app against a real database. claude reviewed the PR that should have caught it and missed it too\n\nit got caught before any user saw it. the redesign agent's screenshots came back as nothing but error pages\n\nthe stack: nestjs + prisma + postgres for the api, next.js for the web app, typescript monorepo\n\nhow the 3 agents work now\n\n1. A plans, writes the specs and reviews every PR against the real code on main. it still codes too. 47 of the 134 merged PRs are A's, including the permission system and a token refresh race fix\n2. B and C build in parallel. each claims its files on a board before touching anything\n3. agents do code review on each other. C reviewed a PR of B's and pushed a fix onto it. A still checks that fix before it counts\n4. merge order is set up front. the auth fix landed first, the redesign merged main after it\n5. no force pushes. whoever lands second merges main into their branch\n6. new rule: every PR needs a real run. api and web app on a real postgres, logged in, real rows on screen, pasted into the PR\n7. i merge. no agent ever merges\n\nthe fix was about a dozen lines. next.js server components were never sending the login token\n\nmocks told us everything worked. only a real run could show it didn't\n\nthis is the difference between shipping with AI agents and vibe coding\n\nhow do you check that your AI-built app actually works, not just that the tests pass?",
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    "text": "\ud83c\udf10\ud83e\udd16 AI CAN BUILD A WEBSITE IN MINUTES NOW.\n\nThat's incredible.\n\nIt's also creating a new problem:\n\nWHEN EVERYONE CAN GENERATE A WEBSITE\u2026 WHAT MAKES YOUR WEBSITE YOURS?\n\nIn 2026, prompt-to-site tools can generate layouts, copy, responsive pages and increasingly complete web applications.\n\nAI coding agents are moving even further.\n\nThey can work across real codebases, modify front ends and APIs, run tests and prepare production changes.\n\nAnd investor interest is following the shift: an AI coding-agent company announced a $200 million round this week at a $5 billion valuation.\n\nWebsite creation is moving from:\n\nDESIGN \u2192 CODE \u2192 LAUNCH\n\ntoward:\n\nDESCRIBE \u2192 GENERATE \u2192 TEST \u2192 DEPLOY \u2192 IMPROVE\n\nSo the opportunity isn't another template library.\n\nIt's something much bigger.\n\nhttps://t.co/lubHtLa9TZ\n\nI wouldn't build another drag-and-drop website builder.\n\nI'd build:\n\nTHE AI DEVELOPMENT STUDIO THAT BUILDS YOUR WEB BUSINESS AROUND YOU.\n\nNot:\n\nPick a template.\n\nBut:\n\nTELL US WHAT YOUR BUSINESS NEEDS TO DO.\n\nThen AI + specialized agents + human expertise build it.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\udde0 BUILD FROM INTENT\u2122\n\nStart with a conversation.\n\nI run a commercial landscaping company.\n\nWe have six service territories.\n\nCustomers need instant estimates.\n\nLeads should route automatically.\n\nExisting customers need a portal.\n\nOur sales team uses a CRM.\n\nI want English and French.\n\nCustomWebBuilder doesn't ask:\n\nWhich template do you like?\n\nIt asks:\n\nHOW DOES YOUR BUSINESS WORK?\n\nThen builds around that answer.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\uddec BUSINESS DNA\u2122\n\nBefore generating anything:\n\nUnderstand the company.\n\nCustomers.\n\nProducts.\n\nServices.\n\nCompetitors.\n\nBrand.\n\nSales process.\n\nOperations.\n\nGeography.\n\nIntegrations.\n\nData.\n\nConversion goals.\n\nThen translate:\n\nBUSINESS DNA \u2192 DIGITAL ARCHITECTURE.\n\nThat's the difference between generating pages\u2014\n\nand building infrastructure.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83c\udfd7\ufe0f CUSTOM BUILD AI\u2122\n\nDescribe:\n\nBuild a quoting system where customers upload plans, choose materials, receive a preliminary estimate and schedule a consultation.\n\nThe AI doesn't return a pretty homepage.\n\nIt creates:\n\nFrontend.\n\nBackend.\n\nDatabase.\n\nAuthentication.\n\nWorkflow.\n\nNotifications.\n\nAdmin controls.\n\nAnalytics.\n\nIntegrations.\n\nTests.\n\nDeployment.\n\nPROMPT \u2192 PRODUCT.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83c\udfa8 NO TEMPLATE MODE\u2122\n\nThis could become a major brand promise.\n\nPress:\n\nNO TEMPLATE.\n\nThe system cannot begin from a prebuilt visual theme.\n\nInstead it generates the experience from:\n\nBrand identity.\n\nAudience.\n\nContent.\n\nBusiness model.\n\nDesired emotion.\n\nConversion objective.\n\nCompetitive environment.\n\nEvery company shouldn't look like:\n\nTHE SAME AI BUILT IT.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\u2728 HUMAN TOUCH\u2122\n\nHere's the paradox.\n\nThe more websites AI creates\u2014\n\nthe more valuable genuine creative direction becomes.\n\nSo CustomWebBuilder combines:\n\nAI SPEED\n\nwith:\n\nHUMAN TASTE.\n\nAI generates.\n\nDesigners refine.\n\nDevelopers review.\n\nBrand specialists differentiate.\n\nHumans approve consequential decisions.\n\nThe result shouldn't feel:\n\nAI-generated.\n\nIt should feel:\n\nCUSTOM BUILT.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\udd16 BUILDER AGENTS\u2122\n\nInstead of one giant AI trying to do everything:\n\nSTRATEGY AGENT\n\nunderstands the business.\n\nUX AGENT\n\ndesigns journeys.\n\nDESIGN AGENT\n\ncreates the visual system.\n\nCOPY AGENT\n\nbuilds messaging.\n\nCODE AGENT\n\nwrites the product.\n\nSEO AGENT\n\nbuilds discoverability.\n\nACCESSIBILITY AGENT\n\nchecks usability.\n\nSECURITY AGENT\n\ntests vulnerabilities.\n\nQA AGENT\n\ntries to break everything.\n\nPERFORMANCE AGENT\n\nmakes it faster.\n\nOne objective:\n\nBUILD THE BUSINESS, NOT JUST THE PAGE.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\uddd1\u200d\ud83d\udcbb HUMAN REVIEW\u2122\n\nAI proposes the code.\n\nAI tests the code.\n\nAI can even critique its own work.\n\nBut production still deserves accountability.\n\nBefore critical changes ship:\n\nCODE REVIEW\n\nSECURITY REVIEW\n\nACCESSIBILITY REVIEW\n\nPERFORMANCE REVIEW\n\nBRAND REVIEW\n\nBUSINESS LOGIC REVIEW\n\nThen:\n\nAPPROVE \u2192 DEPLOY.\n\nAI accelerates craftsmanship.\n\nIt doesn't eliminate responsibility.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\u2699\ufe0f FUNCTION FIRST\u2122\n\nMost website builders start here:\n\nWhat should it look like?\n\nCustomWebBuilder starts here:\n\nWHAT SHOULD IT DO?\n\nGenerate leads?\n\nBook appointments?\n\nQuote projects?\n\nSell products?\n\nManage customers?\n\nProcess applications?\n\nCollect documents?\n\nCreate memberships?\n\nConnect suppliers?\n\nRun a marketplace?\n\nAutomate support?\n\nBuild around:\n\nTHE JOB.\n\nThen design the interface.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udd0c CONNECT EVERYTHING\u2122\n\nThe modern website shouldn't sit alone.\n\nConnect:\n\nCRM.\n\nPayments.\n\nEmail.\n\nCalendar.\n\nInventory.\n\nAccounting.\n\nSupport.\n\nAnalytics.\n\nDatabases.\n\nInternal software.\n\nAI agents.\n\nAPIs.\n\nYour website becomes:\n\nTHE FRONT DOOR TO THE BUSINESS SYSTEM.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udde3\ufe0f TALK TO YOUR WEBSITE\u2122\n\nNeed something changed?\n\nForget:\n\nOpen CMS \u2192 find page \u2192 edit component \u2192 publish.\n\nSay:\n\nAdd our new Montr\u00e9al territory.\n\nCreate a French version.\n\nAdd financing to the quote form.\n\nUpdate pricing by 7%.\n\nCreate a landing page for architects.\n\nAdd the new service everywhere appropriate.\n\nThe system determines:\n\nWHAT NEEDS TO CHANGE.\n\nShows the proposed changes.\n\nHuman approves.\n\nDeploy.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\udde0 SITE MEMORY\u2122\n\nThe AI remembers:\n\nWhy the navigation was structured that way.\n\nWhy the pricing page changed.\n\nWhich headline converted better.\n\nWhich products were discontinued.\n\nWhat the brand should never say.\n\nWhich integrations are fragile.\n\nWhich pages depend on which data.\n\nThe website develops:\n\nINSTITUTIONAL MEMORY.\n\nSo every future change understands the past.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udd04 SELF-IMPROVING WEB\u2122\n\nLaunching isn't the finish line.\n\nIt's the beginning.\n\nCustomWebBuilder continuously watches:\n\nTraffic.\n\nConversions.\n\nSearch visibility.\n\nBroken links.\n\nPerformance.\n\nAccessibility.\n\nCustomer behavior.\n\nContent freshness.\n\nCompetitor changes.\n\nTechnical errors.\n\nThen:\n\nYour service page is losing conversion.\n\nHere's the likely reason.\n\nI've prepared three improvements.\n\nREVIEW CHANGES?\n\nThe website starts behaving like:\n\nA LIVING DIGITAL ASSET.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udd0e SEARCH EVERYWHERE\u2122\n\nDiscovery is changing too.\n\nPeople increasingly discover businesses through:\n\nTraditional search.\n\nAI answers.\n\nMaps.\n\nSocial platforms.\n\nVoice assistants.\n\nRecommendation engines.\n\nAgents.\n\nSo CustomWebBuilder doesn't optimize only for:\n\nGOOGLE.\n\nIt structures companies so machines can understand:\n\nWho you are.\n\nWhat you sell.\n\nWhere you operate.\n\nWhat makes you different.\n\nWhat your products cost.\n\nWho they're for.\n\nWhat evidence supports your claims.\n\nBUILD FOR HUMAN DISCOVERY + MACHINE DISCOVERY.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\udd1d AGENT READY\u2122\n\nThis could become enormous.\n\nTomorrow's visitor may not always be a human clicking through navigation.\n\nIt could be an AI agent saying:\n\nFind an electrician available tomorrow under $500.\n\nCompare these insurance products.\n\nReserve this service.\n\nGet a shipping quote.\n\nOrder these components.\n\nWebsites will increasingly need to communicate with:\n\nOTHER SOFTWARE.\n\nCustomWebBuilder makes businesses:\n\nHUMAN-READY\n\nand:\n\nAGENT-READY.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\uded2 CUSTOM COMMERCE\u2122\n\nDon't force every merchant into the same storefront.\n\nBuild commerce around the business.\n\nSubscriptions.\n\nConfiguration.\n\nWholesale pricing.\n\nB2B accounts.\n\nMarketplaces.\n\nQuoting.\n\nDeposits.\n\nCustom manufacturing.\n\nAppointments.\n\nMemberships.\n\nRental.\n\nServices.\n\nDigital products.\n\nCOMMERCE SHOULD FIT THE COMPANY.\n\nNot the other way around.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83c\udfe2 CUSTOM PORTAL\u2122\n\nWebsite outside.\n\nSoftware inside.\n\nCustomer logs in.\n\nInvoices.\n\nOrders.\n\nDocuments.\n\nProjects.\n\nMessages.\n\nApprovals.\n\nSupport.\n\nAppointments.\n\nCustom data.\n\nSuddenly the website isn't marketing anymore.\n\nIT'S BUSINESS SOFTWARE.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\ude80 IDEA \u2192 MVP\u2122\n\nFounder arrives with:\n\nI have an idea.\n\nCustomWebBuilder asks the questions.\n\nMaps the product.\n\nBuilds the data model.\n\nCreates user journeys.\n\nGenerates interface.\n\nWrites application.\n\nTests.\n\nDeploys.\n\nFounder receives:\n\nA WORKING PRODUCT.\n\nNot another 80-page development proposal.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udd13 OWN YOUR BUILD\u2122\n\nThis should be fundamental.\n\nYour company.\n\nYour domain.\n\nYour data.\n\nYour code.\n\nYour integrations.\n\nYour intellectual property.\n\nNo artificial prison.\n\nCUSTOM SHOULD MEAN OWNABLE.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udee1\ufe0f BUILD SAFE\u2122\n\nBefore deployment:\n\nDependency scanning.\n\nAuthentication testing.\n\nPermission review.\n\nSecret detection.\n\nForm validation.\n\nBackup verification.\n\nPerformance testing.\n\nAccessibility testing.\n\nRegression testing.\n\nAI tries to break what AI built.\n\nThen humans review what matters.\n\nBUILD FAST. VERIFY HARD.\u2122\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udcc8 CONVERSION BUILDER\u2122\n\nA beautiful website that doesn't produce business is decoration.\n\nCustomWebBuilder understands:\n\nVISITOR \u2192 INTENT \u2192 PAGE \u2192 INTERACTION \u2192 LEAD \u2192 SALE \u2192 RETENTION\n\nThen continuously asks:\n\nWHAT SHOULD THIS WEBSITE DO BETTER?\n\nNot:\n\nShould the button be blue?\n\nBut:\n\nWhy aren't qualified visitors becoming customers?\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83e\uddec THE WEB GRAPH\u2122\n\nHere's where the moat becomes interesting.\n\nBUSINESS\n\n\u2193\n\nBRAND\n\n\u2193\n\nCUSTOMER\n\n\u2193\n\nINTENT\n\n\u2193\n\nCONTENT\n\n\u2193\n\nPAGE\n\n\u2193\n\nPRODUCT\n\n\u2193\n\nWORKFLOW\n\n\u2193\n\nDATA\n\n\u2193\n\nINTEGRATION\n\n\u2193\n\nAGENT\n\n\u2193\n\nACTION\n\n\u2193\n\nCONVERSION\n\n\u2193\n\nOUTCOME\n\n\u2193\n\nLEARNING\n\nCustomWebBuilder eventually understands something generic builders don't:\n\nHOW A BUSINESS SHOULD BECOME SOFTWARE.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\nTHE FLYWHEEL\n\nBusiness describes itself.\n\n\u2193\n\nBusiness DNA mapped.\n\n\u2193\n\nWebsite architecture generated.\n\n\u2193\n\nCustom experience built.\n\n\u2193\n\nAgents test it.\n\n\u2193\n\nHumans approve it.\n\n\u2193\n\nSite launches.\n\n\u2193\n\nCustomers interact.\n\n\u2193\n\nPerformance measured.\n\n\u2193\n\nAI learns.\n\n\u2193\n\nImprovements proposed.\n\n\u2193\n\nBusiness approves.\n\n\u2193\n\nSite evolves.\n\n\u2193\n\nMore workflows become software.\n\n\u2193\n\nMore business knowledge enters the graph.\n\n\u2193\n\nCUSTOMWEBBUILDER BECOMES THE AI DEVELOPMENT LAYER FOR THE INTERNET'S BUSINESSES.\n\nThat's the company.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\n\ud83d\udcb0 THE BUSINESS MODEL\n\nWebsite builds.\n\nMonthly subscriptions.\n\nAI development agents.\n\nManaged hosting.\n\nCustom applications.\n\nE-commerce.\n\nBusiness portals.\n\nIntegrations.\n\nMaintenance.\n\nSEO + AI discovery.\n\nConversion optimization.\n\nSecurity.\n\nEnterprise deployments.\n\nAgency white-label.\n\nDeveloper APIs.\n\nVertical solutions.\n\nUsage-based automation.\n\nAnd eventually:\n\nCUSTOM SOFTWARE DEVELOPMENT AS A SERVICE.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\nWHY https://t.co/lubHtLa9TZ STANDS OUT\n\nThe domain explains itself instantly.\n\nCUSTOM\n\nNot generic.\n\nNot template-first.\n\nBuilt around you.\n\nWEB\n\nMassive universal category.\n\nBUILDER\n\nCreation.\n\nExecution.\n\nAction.\n\nPut together:\n\nCUSTOM WEB BUILDER.\n\nIt's exactly what someone might type when they already know what they want.\n\nBut the strategic opportunity is to redefine what builder means in the AI era.\n\nYesterday:\n\nYOU USED THE BUILDER.\n\nTomorrow:\n\nTHE BUILDER BUILDS FOR YOU.\n\nThat distinction could define the brand.\n\nExtensions naturally follow:\n\nCustomWebBuilder AI\u2122\n\nCustomWebBuilder Pro\u2122\n\nCustomWebBuilder Commerce\u2122\n\nCustomWebBuilder Agents\u2122\n\nCustomWebBuilder Enterprise\u2122\n\nCustomWebBuilder Studio\u2122\n\nCustomWebBuilder Cloud\u2122\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\nTHE BUYERS I'D TARGET FIRST\n\n1. AI WEBSITE-BUILDING PLATFORMS\n\nA category-defining descriptive brand for customers who want something beyond templates.\n\n2. AI CODING COMPANIES\n\nTurn coding agents into an end-to-end business creation platform.\n\n3. WEB DEVELOPMENT AGENCIES\n\nProductize custom development instead of selling hours.\n\n4. HOSTING + DOMAIN COMPANIES\n\nOwn the entire journey:\n\nDOMAIN \u2192 BUILD \u2192 HOST \u2192 GROW.\n\n5. E-COMMERCE PLATFORMS\n\nCapture businesses that need workflows beyond standard stores.\n\n6. ENTERPRISE SOFTWARE COMPANIES\n\nCreate AI-generated customer portals, internal systems and web applications.\n\n7. FOUNDERS + VENTURE STUDIOS\n\nBecause the opportunity sits directly at:\n\nAI \u00d7 CODING AGENTS \u00d7 WEB DEVELOPMENT \u00d7 SaaS \u00d7 E-COMMERCE \u00d7 AUTOMATION.\n\n\ud83d\udd25\ud83d\udd25\ud83d\udd25\n\nTHE BUYER PITCH\n\nAI has dramatically reduced the cost of generating websites.\n\nThat doesn't eliminate custom development.\n\nIt changes what custom means.\n\nThe valuable layer moves upward:\n\nFrom writing every line manually\u2014\n\nto understanding the business.\n\nFrom arranging pixels\u2014\n\nto designing workflows.\n\nFrom producing pages\u2014\n\nto connecting systems.\n\nFrom launching once\u2014\n\nto continuously improving.\n\nFrom:\n\nWE BUILD WEBSITES.\n\nto:\n\nWE BUILD THE DIGITAL VERSION OF YOUR BUSINESS.\n\nThat's the opportunity.\n\n\ud83c\udf10\ud83e\udd16 https://t.co/lubHtLa9TZ\n\nDON'T CHOOSE A TEMPLATE.\n\nBUILD WHAT YOUR BUSINESS ACTUALLY NEEDS.\u2122\n\nAvailable now at the https://t.co/k6aRlccAPi marketplace.\n\nFor AI builders, coding-agent companies, hosting platforms, development agencies, software companies, venture studios and founders:\n\nhttps://t.co/lubHtLa9TZ is available for acquisition.\n\nAnd if the right strategic partner sees the opportunity to build the AI development studio for the next generation of businesses:\n\nWe're also open to building the opportunity together.\n\n#CustomWebBuilder #WebDevelopment #WebDesign #WebsiteBuilder #AIWebsiteBuilder #ArtificialIntelligence #AI #GenerativeAI #AgenticAI #AIAgents #CodingAgents #AICoding #SoftwareDevelopment #NoCode #LowCode #SaaS #Ecommerce #Automation #DigitalTransformation #FutureOfWeb #AIStartup #VentureCapital #PremiumDomain #DomainForSale #DotcomsIO",
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    "text": "I described a reservation system in a sentence and AI built it over a weekend. Then I spent a year on edge cases, bugs, and Stripe fees I didn\u2019t know existed. An honest look at vibe coding a real SaaS, from someone who runs his campgrounds on it. (247) https://t.co/yItPnDoAzc",
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    "text": "\ud83c\uddfa\ud83c\uddfe\ud83e\udd16 https://t.co/7IfPyuKboc \u2014 WHAT IF THE NEXT GREAT AI HUB IN LATIN AMERICA ISN\u2019T THE BIGGEST COUNTRY?\n\nWHAT IF IT\u2019S THE SMARTEST-CONNECTED ONE?\n\nAI is creating a new map of economic opportunity.\n\nNot just Silicon Valley.\n\nNot just New York.\n\nNot just London.\n\nNot just the giant markets.\n\nBecause the AI economy needs more than population.\n\nIt needs:\n\ntalent\n\nfounders\n\ninfrastructure\n\ncapital\n\neducation\n\ncompanies willing to adopt\n\ninternational connections\n\nand places where ambitious people can actually build.\n\nThat's the opportunity behind:\n\nhttps://t.co/7IfPyuKboc\n\nDon't make it another site publishing:\n\n\u201c10 AI tools you should try this week.\u201d\n\nBuild something much more ambitious:\n\n\ud83c\uddfa\ud83c\uddfe THE HOME OF ARTIFICIAL INTELLIGENCE IN URUGUAY.\n\nOne destination connecting:\n\nSTARTUPS\n\nTALENT\n\nCOMPANIES\n\nINVESTORS\n\nRESEARCHERS\n\nJOBS\n\nEVENTS\n\nEDUCATION\n\nAI PRODUCTS\n\nINTERNATIONAL OPPORTUNITIES\n\nIn other words:\n\nPUT URUGUAY'S AI ECOSYSTEM ON ONE MAP.\n\n\ud83c\uddfa\ud83c\uddfe THE URUGUAY AI MAP\n\nOpen https://t.co/7IfPyuKboc.\n\nYou see the country.\n\nThen the intelligence layer appears:\n\n\ud83e\udd16 AI STARTUPS\n\n\ud83c\udfe2 COMPANIES USING AI\n\n\ud83c\udf93 UNIVERSITIES & RESEARCH\n\n\ud83d\udc68\u200d\ud83d\udcbb AI TALENT\n\n\ud83d\udcb0 INVESTORS\n\n\ud83d\ude80 FOUNDERS\n\n\ud83d\udcc5 EVENTS\n\n\ud83d\udcbc JOBS\n\n\ud83e\udde0 AI COMMUNITIES\n\n\ud83c\udf0e INTERNATIONAL CONNECTIONS\n\nClick Montevideo.\n\nThe ecosystem comes alive.\n\nNow UruguayAI isn't simply talking about AI.\n\nIT'S MAPPING WHO IS BUILDING IT.\n\n\ud83d\udd25 \u201cWHAT\u2019S HAPPENING IN URUGUAY AI?\u201d\n\nThis should be the homepage every morning.\n\nURUGUAY AI \u2014 TODAY\n\n\ud83d\ude80 STARTUPS\n\nNew companies and launches.\n\n\ud83d\udcb0 FUNDING\n\nInvestments and capital activity.\n\n\ud83d\udcbc JOBS\n\nNew AI roles.\n\n\ud83e\udde0 RESEARCH\n\nInteresting work and publications.\n\n\ud83c\udfe2 ADOPTION\n\nCompanies deploying AI.\n\n\ud83d\udcc5 EVENTS\n\nWhat's happening next.\n\n\ud83c\udf0e GLOBAL\n\nInternational developments relevant to Uruguay.\n\nThen:\n\nTHE 5 THINGS WORTH KNOWING TODAY.\n\nNot an endless news feed.\n\nIntelligence.\n\n\ud83d\ude80 THE STARTUP DIRECTORY\n\nSearch:\n\nAI COMPANIES IN URUGUAY\n\nFilter by:\n\nGENERATIVE AI\n\nFINTECH\n\nAGRITECH\n\nSOFTWARE\n\nCYBERSECURITY\n\nHEALTH\n\nLOGISTICS\n\nEDUCATION\n\nECOMMERCE\n\nENTERPRISE AI\n\nEach company gets:\n\nAI COMPANY PROFILE\n\nWhat they build.\n\nFounders.\n\nCategory.\n\nStage.\n\nCustomers.\n\nHiring.\n\nFunding where publicly available.\n\nTechnology.\n\nRecent developments.\n\nNow UruguayAI becomes:\n\nTHE DISCOVERY ENGINE FOR URUGUAYAN AI.\n\n\ud83e\udde0 WHO IS BUILDING WHAT?\n\nThis could be the signature visualization.\n\nInstead of a boring company list:\n\nTHE URUGUAY AI GRAPH\n\nFounders connect to startups.\n\nStartups connect to investors.\n\nResearchers connect to universities.\n\nCompanies connect to technologies.\n\nPeople connect to previous companies.\n\nThen:\n\nSHOW ME THE FINTECH AI CLUSTER.\n\nOr:\n\nWHO IS WORKING ON COMPUTER VISION?\n\nOr:\n\nWHICH STARTUPS ARE HIRING?\n\nNow you've got ecosystem intelligence.\n\n\ud83d\udcbc URUGUAY AI JOBS\n\nThis could become a major traffic engine.\n\nBUILD YOUR AI CAREER IN URUGUAY.\n\nRoles:\n\nAI ENGINEER\n\nML ENGINEER\n\nDATA SCIENTIST\n\nPRODUCT MANAGER\n\nAI RESEARCHER\n\nAUTOMATION ENGINEER\n\nAI SALES\n\nAI CONSULTANT\n\nPROMPT / AGENT DESIGN\n\nSOFTWARE ENGINEER\n\nFilter:\n\nMontevideo.\n\nRemote.\n\nHybrid.\n\nSpanish.\n\nEnglish.\n\nExperience.\n\nSalary where disclosed.\n\nThen:\n\nWORK IN AI. LIVE IN URUGUAY.\n\nThat's a strong international recruitment campaign.\n\n\ud83c\udf0e THE REMOTE AI TALENT HUB\n\nAnd here's where the domain can become bigger than the domestic market.\n\nUruguayAI could introduce Uruguayan talent to:\n\nU.S. COMPANIES\n\nCANADIAN COMPANIES\n\nEUROPEAN COMPANIES\n\nLATIN AMERICAN COMPANIES\n\nEmployer says:\n\n\u201cFind me a senior AI engineer in Uruguay.\u201d\n\nUruguayAI provides qualified profiles.\n\nNow:\n\nURUGUAY BECOMES THE PRODUCT.\n\nThe site monetizes:\n\nRecruitment.\n\nJob listings.\n\nTalent placement.\n\nEmployer subscriptions.\n\n\ud83e\uddd1\u200d\ud83d\udcbb BUILD YOUR AI PROFILE\n\nEngineer creates:\n\nURUGUAY AI PROFILE\n\nSkills.\n\nModels.\n\nFrameworks.\n\nLanguages.\n\nProjects.\n\nGitHub.\n\nResearch.\n\nExperience.\n\nAvailability.\n\nThen companies can discover:\n\nVERIFIED AI TALENT.\n\nNot another generic CV database.\n\nA concentrated talent graph around one high-value category.\n\n\ud83c\udf93 LEARN AI IN URUGUAY\n\nStudent arrives asking:\n\n\u201cHow do I get into AI?\u201d\n\nUruguayAI builds:\n\nYOUR AI ROADMAP\n\nBeginner?\n\nDeveloper?\n\nData analyst?\n\nDesigner?\n\nBusiness owner?\n\nFounder?\n\nDifferent path.\n\nThen surface:\n\nCourses.\n\nUniversity programs.\n\nCommunities.\n\nWorkshops.\n\nBootcamps.\n\nOnline resources.\n\nProjects.\n\nInternships.\n\nThe destination becomes:\n\nTHE FRONT DOOR TO AN AI CAREER IN URUGUAY.\n\n\ud83e\uddea THE AI LAB\n\nGive builders a place to showcase what they're creating.\n\nMADE WITH AI IN URUGUAY \ud83c\uddfa\ud83c\uddfe\n\nEvery week:\n\nNew agent.\n\nNew model.\n\nNew application.\n\nNew startup.\n\nNew open-source project.\n\nNew experiment.\n\nVisitors vote.\n\nCompanies discover talent.\n\nInvestors discover founders.\n\nFounders discover collaborators.\n\nThat's how a directory becomes:\n\nA COMMUNITY.\n\n\ud83c\udfc6 URUGUAY AI 100\n\nOnce a year:\n\nTHE 100 PEOPLE SHAPING AI IN URUGUAY\n\nFounders.\n\nResearchers.\n\nEngineers.\n\nInvestors.\n\nEducators.\n\nExecutives.\n\nBuilders.\n\nNot just celebrity CEOs.\n\nThe people actually doing the work.\n\nThis becomes:\n\nContent.\n\nRecognition.\n\nDistribution.\n\nSEO.\n\nNetworking.\n\nAnd eventually:\n\nAN INSTITUTION.\n\n\ud83c\udfe2 AI FOR URUGUAYAN BUSINESS\n\nMost companies aren't trying to build foundation models.\n\nThey're asking:\n\n\u201cHOW CAN AI SAVE US TIME OR MAKE US MONEY?\u201d\n\nUruguayAI could create industry playbooks.\n\n\ud83c\udfe6 FINANCE\n\n\ud83c\udf3e AGRICULTURE\n\n\ud83d\ude9a LOGISTICS\n\n\ud83d\uded2 RETAIL\n\n\ud83c\udfe8 TOURISM\n\n\ud83c\udfd7\ufe0f CONSTRUCTION\n\n\u2696\ufe0f PROFESSIONAL SERVICES\n\n\ud83d\udcbb SOFTWARE\n\n\ud83c\udfe2 REAL ESTATE\n\nFor each:\n\nWHAT CAN AI ACTUALLY DO TODAY?\n\nPractical.\n\nSpecific.\n\nNo robot poetry required.\n\n\ud83c\udf3e URUGUAY AI + AGRICULTURE\n\nThis could be especially interesting.\n\nImagine:\n\nAI FOR AGRICULTURE\n\nComputer vision.\n\nYield prediction.\n\nLivestock monitoring.\n\nWeather intelligence.\n\nIrrigation optimization.\n\nDisease detection.\n\nSatellite analysis.\n\nSupply-chain forecasting.\n\nMarket intelligence.\n\nUruguayAI could connect:\n\nAGRICULTURE PROBLEMS\n\nwith:\n\nAI BUILDERS.\n\nThat is much more interesting than simply publishing articles about ChatGPT.\n\n\ud83d\udc04 AI FOR LIVESTOCK\n\nHere's a uniquely memorable vertical.\n\nAI analyzes authorized operational data around:\n\nHerd monitoring.\n\nAnimal identification.\n\nMovement.\n\nFeeding patterns.\n\nPasture.\n\nProduction.\n\nPotential anomalies.\n\nThen farmers get:\n\nWHAT NEEDS ATTENTION?\n\nThat's the kind of AI story Uruguay could potentially export internationally:\n\nAI BUILT AROUND REAL INDUSTRIES.\n\nNot another chatbot wrapper.\n\n\ud83d\udea2 AI FOR LOGISTICS\n\nPorts.\n\nFreight.\n\nWarehousing.\n\nImports.\n\nExports.\n\nRouting.\n\nInventory.\n\nUruguayAI could spotlight and connect companies applying AI to:\n\nDEMAND FORECASTING\n\nROUTE OPTIMIZATION\n\nDOCUMENT AUTOMATION\n\nINVENTORY\n\nCUSTOMS WORKFLOWS\n\nSUPPLY CHAINS\n\nNow the ecosystem starts aligning AI with sectors that already matter economically.\n\n\ud83c\udfd6\ufe0f AI FOR TOURISM\n\nImagine:\n\nURUGUAY AI TRAVEL AGENT\n\nVisitor says:\n\n\u201cSeven days. Montevideo + coast. Great food. No rushed itinerary.\u201d\n\nAI builds the trip.\n\nBut the bigger B2B opportunity:\n\nHotels.\n\nRestaurants.\n\nTour operators.\n\nDestinations.\n\nAirlines.\n\nHospitality groups.\n\nuse AI for:\n\nPricing.\n\nDemand.\n\nCustomer service.\n\nTranslation.\n\nMarketing.\n\nOperations.\n\nUruguayAI becomes the place where tourism businesses discover:\n\nHOW TO ADOPT AI.\n\n\ud83e\udd1d THE AI MATCHMAKER\n\nBusiness says:\n\n\u201cWe need to automate invoice processing.\u201d\n\nUruguayAI identifies:\n\n4 LOCAL AI PROVIDERS\n\nwith relevant capabilities.\n\nOr:\n\n\u201cWe need computer vision for agriculture.\u201d\n\nResults:\n\n3 STARTUPS\n\n2 RESEARCH GROUPS\n\n6 SPECIALISTS\n\nThen:\n\nREQUEST INTRODUCTION\n\nThat's a marketplace.\n\nCompanies have problems.\n\nBuilders have solutions.\n\nMATCH THEM.\n\n\ud83e\uddfe AI PROVIDER MARKETPLACE\n\nProviders list:\n\nAI DEVELOPMENT\n\nAUTOMATION\n\nCONSULTING\n\nDATA ENGINEERING\n\nAI AGENTS\n\nCOMPUTER VISION\n\nNLP\n\nCYBERSECURITY\n\nTRAINING\n\nIMPLEMENTATION\n\nCustomers submit:\n\nWHAT DO YOU WANT TO BUILD?\n\nUruguayAI routes the opportunity.\n\nNow the business model gets obvious:\n\nQualified leads.\n\nPremium listings.\n\nSubscriptions.\n\nProject marketplace.\n\n\ud83d\udcb0 URUGUAY AI INVEST\n\nInvestor asks:\n\n\u201cShow me Uruguay's most interesting early-stage AI companies.\u201d\n\nDashboard:\n\nAI STARTUP PIPELINE\n\nCategory.\n\nStage.\n\nTeam.\n\nTraction.\n\nFunding.\n\nHiring.\n\nRecent signals.\n\nThen:\n\nWHO IS ACCELERATING?\n\nThis is where the data layer starts becoming valuable.\n\n\ud83d\udcc8 THE URUGUAY AI INDEX\n\nTrack the ecosystem itself.\n\nAI COMPANIES\n\nAI JOBS\n\nCAPITAL RAISED\n\nNEW STARTUPS\n\nRESEARCH OUTPUT\n\nAI ADOPTION\n\nSALARIES\n\nINTERNATIONAL INVESTMENT\n\nThen:\n\nURUGUAY AI INDEX: 74.8 \u2191\n\nOver time, UruguayAI becomes a reference point for understanding:\n\nHOW FAST THE COUNTRY'S AI ECONOMY IS GROWING.\n\n\ud83e\udded THE LATAM GATEWAY\n\nHere's the bigger play.\n\nUruguay is the beachhead.\n\nBut international companies may use the platform because they're asking:\n\nHOW DO WE ENTER LATIN AMERICA?\n\nUruguayAI could help with:\n\nTalent.\n\nPartners.\n\nAI vendors.\n\nStartup discovery.\n\nMarket research.\n\nLocal introductions.\n\nThen the positioning becomes:\n\nBUILD AI IN URUGUAY.\n\nREACH LATAM FROM HERE.\n\nThat's much more ambitious.\n\n\u2708\ufe0f SOFT LANDING FOR AI COMPANIES\n\nForeign AI company considers establishing operations.\n\nUruguayAI gives them:\n\nSTART HERE\n\nTalent landscape.\n\nStartup ecosystem.\n\nService providers.\n\nWorkspace.\n\nHiring resources.\n\nRelevant public programs.\n\nLegal and tax professionals.\n\nLocal partners.\n\nCommunities.\n\nThen:\n\nREQUEST INTRODUCTIONS\n\nNow the domain becomes an economic-development funnel.\n\n\ud83c\uddfa\ud83c\uddfe WHY URUGUAY?\n\nThis should be a major evergreen section.\n\nBut don't make it propaganda.\n\nMake it:\n\nDATA.\n\nTalent.\n\nConnectivity.\n\nDigital infrastructure.\n\nBusiness environment.\n\nTime zones.\n\nLanguage.\n\nCosts.\n\nTechnology ecosystem.\n\nRegional access.\n\nThen compare transparently with other potential LATAM locations.\n\nIf Uruguay wins:\n\nLET THE NUMBERS SHOW IT.\n\nMuch more credible.\n\n\ud83e\udde0 THE COUNTRY AI COPILOT\n\nAsk:\n\n\u201cWho are the strongest AI startups in logistics?\u201d\n\n\u201cWhich AI companies are hiring?\u201d\n\n\u201cWhat AI events are happening this month?\u201d\n\n\u201cFind computer-vision talent.\u201d\n\n\u201cWhich companies could help automate our support operation?\u201d\n\n\u201cWhat changed in Uruguay's AI ecosystem this week?\u201d\n\nNow UruguayAI becomes:\n\nTHE CONVERSATIONAL INTERFACE TO AN ENTIRE ECOSYSTEM.\n\nThat's a very natural use of the domain.\n\n\ud83d\udde3\ufe0f ESPA\u00d1OL + ENGLISH\n\nThis matters.\n\nUruguayAI should be genuinely bilingual.\n\nNot:\n\nSpanish site + awkward machine-translated footer.\n\nInvestor in New York asks in English.\n\nFounder in Montevideo asks in Spanish.\n\nSame underlying intelligence.\n\nThat immediately makes the platform useful as:\n\nA BRIDGE BETWEEN URUGUAY AND GLOBAL AI.\n\n\ud83d\udcf0 URUGUAY AI DAILY\n\nDaily email:\n\n\ud83c\uddfa\ud83c\uddfe 5 MINUTES. EVERYTHING THAT MATTERS IN URUGUAY AI.\n\nNew startup.\n\nFunding.\n\nJob.\n\nResearch.\n\nEvent.\n\nInternational opportunity.\n\nShort.\n\nUseful.\n\nHighly targeted.\n\nThis is probably how I'd launch the brand.\n\nMedia first.\n\nCommunity second.\n\nData third.\n\nMarketplace fourth.\n\n\ud83c\udf99\ufe0f URUGUAY AI PODCAST\n\nInterview:\n\nFounders.\n\nResearchers.\n\nEngineers.\n\nInvestors.\n\nExecutives implementing AI.\n\nBut one rule:\n\nSHOW WHAT THEY'RE ACTUALLY BUILDING.\n\nLess:\n\n\u201cAI will transform everything.\u201d\n\nMore:\n\n\u201cHere's what we built, what failed, what worked, and what we learned.\u201d\n\nMuch better content.\n\n\ud83c\udfa4 URUGUAY AI SUMMIT\n\nAnd eventually the domain escapes the screen.\n\nURUGUAY AI 2027\n\nMontevideo.\n\nBuilders.\n\nStartups.\n\nCompanies.\n\nInvestors.\n\nResearchers.\n\nInternational speakers.\n\nRecruiters.\n\nStudents.\n\nNow:\n\nhttps://t.co/7IfPyuKboc\n\nisn't just the website.\n\nIt's:\n\nTHE MEDIA BRAND\n\nTHE DATABASE\n\nTHE COMMUNITY\n\nTHE JOB BOARD\n\nTHE MARKETPLACE\n\nTHE CONFERENCE\n\nThat's how category domains become ecosystems.\n\n\ud83c\udfc6 BUILD IN URUGUAY\n\nRun an annual competition:\n\nBUILD SOMETHING USEFUL WITH AI.\n\nNot another chatbot.\n\nSolve:\n\nAgriculture.\n\nLogistics.\n\nEducation.\n\nTourism.\n\nEnergy.\n\nFinance.\n\nPublic services.\n\nSmall business.\n\nWinning teams get:\n\nCapital.\n\nCustomers.\n\nMentorship.\n\nVisibility.\n\nNow UruguayAI isn't documenting the ecosystem.\n\nIT'S CREATING IT.\n\n\ud83e\udd16 URUGUAY AI AGENT\n\nEventually the agent could continuously monitor public ecosystem signals.\n\nNew company?\n\nAdded.\n\nNew funding?\n\nUpdated.\n\nNew job?\n\nIndexed.\n\nNew event?\n\nListed.\n\nNew product?\n\nCategorized.\n\nThen users don't browse a stale directory.\n\nTHE ECOSYSTEM UPDATES ITSELF.\n\nThat's the scalable version.\n\n\ud83d\udd0c URUGUAY AI API\n\nOther platforms query:\n\nGET /STARTUPS\n\nGET /AI-JOBS\n\nGET /TALENT\n\nGET /INVESTORS\n\nGET /EVENTS\n\nGET /AI-PROVIDERS\n\nGET /ECOSYSTEM-SIGNALS\n\nNow the platform's proprietary asset becomes:\n\nTHE URUGUAY AI GRAPH.\n\nThe website is just one interface.\n\n\ud83c\udf0e THEN REPEAT THE MODEL\n\nThis is where it gets really interesting.\n\nUruguayAI works.\n\nThen the company behind it could build the infrastructure for:\n\nCOUNTRY AI ECOSYSTEMS.\n\nUruguay becomes the proof case.\n\nThe underlying platform can power similar national or regional intelligence networks.\n\nBut:\n\nhttps://t.co/7IfPyuKboc OWNS URUGUAY.\n\nThat's the advantage of a geo + category domain.\n\nThere is almost no branding explanation necessary.\n\n\ud83d\udca5 AND THAT'S WHY THE NAME WORKS\n\nhttps://t.co/7IfPyuKboc\n\ndoes exactly what great category domains do.\n\nYou hear it once.\n\nYou know:\n\nWHERE.\n\nUruguay.\n\nYou know:\n\nWHAT.\n\nAI.\n\nAnd .com gives it room to become commercial, international and platform-driven.\n\nIt could belong to:\n\nan AI association\n\na startup ecosystem\n\na technology media company\n\nan AI marketplace\n\na recruitment platform\n\nan investment intelligence company\n\nan accelerator\n\nan AI conference\n\nan economic-development initiative\n\nor a major AI company expanding into Uruguay.\n\nThat's a lot of potential buyers packed into two words.\n\nThe visual campaign should be unmistakably Uruguayan.\n\nNot another black background with a glowing robot brain.\n\nUse:\n\n\ud83c\uddfa\ud83c\uddfe THE SUN OF MAY\n\nBut reinterpret it digitally.\n\nThe sun becomes an AI network.\n\nIts rays turn into data connections.\n\nAround it:\n\nSTARTUPS\n\nTALENT\n\nCAPITAL\n\nRESEARCH\n\nJOBS\n\nINDUSTRY\n\nThen the headline:\n\nA SMALL COUNTRY CAN BUILD BIG INTELLIGENCE.\n\nCenter:\n\nhttps://t.co/7IfPyuKboc\n\nUnderneath:\n\nTHE HOME OF AI IN URUGUAY.\n\nOr go more provocative:\n\nA map of South America.\n\nUruguay glows intensely.\n\nHeadline:\n\nAI DOESN'T CARE HOW BIG YOUR COUNTRY IS.\n\nThen:\n\nIT CARES WHAT YOU BUILD. \ud83c\uddfa\ud83c\uddfe\n\nhttps://t.co/7IfPyuKboc\n\nAnd my favorite commercial version:\n\nBUILD AI.\n\nHIRE AI.\n\nINVEST IN AI.\n\nBUY AI.\n\nIN URUGUAY.\n\nhttps://t.co/7IfPyuKboc\n\nONE COUNTRY. ONE AI ECOSYSTEM.\n\nThat's the campaign I'd push.\n\nA commanding geo-category .com for an Uruguayan AI ecosystem, startup directory, AI talent marketplace, AI jobs platform, investment-intelligence service, AI media company, AI conference, provider marketplace or national artificial-intelligence hub.\n\nAvailable now on the https://t.co/k6aRlccAPi Marketplace.\n\n#UruguayAI #Uruguay #UruguayTech #AIUruguay #InteligenciaArtificial #IA #ArtificialIntelligence #AI #LATAMAI #LatinAmericaAI #LatAmTech #LatinAmericaTech #Montevideo #MontevideoTech #UruguayStartups #StartupsUruguay #StartupUruguay #AIStartups #TechStartups #StartupEcosystem #AIEcosystem #AIJobs #AITalent #TechTalent #RemoteTalent #RemoteWork #AIAgents #AgenticAI #GenerativeAI #MachineLearning #DeepLearning #DataScience #ComputerVision #Automation #EnterpriseAI #AgTech #FinTech #LogisticsTech #TravelTech #AIResearch #VentureCapital #AngelInvesting #LATAMStartups #InvestUruguay #Innovation #DigitalTransformation #DomainNames #PremiumDomains #DigitalAssets #DotCom",
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    "text": "Vibe coding is getting out of hand.\n\nMet a 17-year-old claiming his AI-built SaaS makes $400k/month.\n\nAsked how he built it so fast.\n\nHe said:\n\"ChatGPT wrote the prompt.\nClaude wrote the code.\nCursor fixed the bugs.\nI just clicked Enter.\"\n\nNow he's aiming for $1M/month.\n\nThe app has zero tests, no authentication, and half the database is public.\n\nStill somehow making money.\n\nNone of this actually happened. \ud83d\udc80",
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    "text": "The next AI hub doesn't have to be Silicon Valley.\n\nIt might be smaller.\n\nMore stable.\n\nMore focused.\n\nPowered by renewable energy.\n\nConnected to Latin America.\n\nAnd capable of becoming a testing ground where AI companies can build, deploy and scale.\n\nNow imagine one digital brand sitting at the center of that opportunity:\n\nhttps://t.co/7IfPyuKboc\n\nDon't build another AI news site.\n\nDon't build another chatbot directory.\n\nBuild:\n\nTHE AI ECOSYSTEM + INFRASTRUCTURE LAYER FOR URUGUAY.\n\nTALENT\n\u2192 STARTUP\n\u2192 MODEL\n\u2192 COMPUTE\n\u2192 DATA\n\u2192 AGENT\n\u2192 ENTERPRISE\n\u2192 CAPITAL\n\u2192 GOVERNMENT\n\u2192 DEPLOYMENT\n\u2192 OUTCOME\n\u2192 ECOSYSTEM\nThe thesis:\nDON'T JUST BRING AI TO URUGUAY.\nMAKE URUGUAY A PLACE WHERE AI GETS BUILT.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\nURUGUAY AI\u2122\nOne national gateway connecting:\nAI COMPANIES.\nFOUNDERS.\nDEVELOPERS.\nRESEARCHERS.\nUNIVERSITIES.\n\nENTERPRISES.\n\nINVESTORS.\n\nCLOUD PROVIDERS.\n\nDATA CENTERS.\n\nGOVERNMENT.\n\nInstead of a fragmented ecosystem\u2014\n\nONE DIGITAL FRONT DOOR FOR URUGUAY'S AI ECONOMY.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nBUILD IN URUGUAY\u2122\n\nA foreign AI founder asks:\n\n\u201cWhy should we build here?\u201d\n\nAnswer with the ecosystem.\n\nTALENT.\n\nINFRASTRUCTURE.\n\nENERGY.\n\nINCENTIVES.\n\nLEGAL INFORMATION.\n\nOFFICE SPACE.\n\nLOCAL PARTNERS.\n\nUNIVERSITIES.\n\nCAPITAL.\n\nSERVICE PROVIDERS.\n\nFROM INTEREST \u2192 COMPANY \u2192 DEPLOYMENT.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAI MAP\u2122\n\nMap the entire ecosystem.\n\nSTARTUPS.\n\nLABS.\n\nFOUNDERS.\n\nINVESTORS.\n\nUNIVERSITIES.\n\nAI PRODUCTS.\n\nINFRASTRUCTURE.\n\nDATA CENTERS.\n\nENTERPRISE ADOPTION.\n\nPUBLIC INITIATIVES.\n\nMAKE THE COUNTRY'S AI CAPABILITIES DISCOVERABLE.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nTALENT GRAPH\u2122\n\nWho can build?\n\nMACHINE LEARNING.\n\nDATA ENGINEERING.\n\nAGENTIC AI.\n\nCYBERSECURITY.\n\nCLOUD.\n\nROBOTICS.\n\nCOMPUTER VISION.\n\nNLP.\n\nSOFTWARE ENGINEERING.\n\nCreate a talent graph connecting:\n\nPERSON\n\u2192 SKILL\n\u2192 PROJECT\n\u2192 COMPANY\n\u2192 TECHNOLOGY\n\u2192 OPPORTUNITY.\n\nTURN TECHNICAL TALENT INTO VISIBLE AI CAPACITY.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nURUGUAY AGENTS\u2122\n\nNow move beyond ecosystem discovery.\n\nBuild specialized AI agents for the local economy.\n\nAGTECH.\n\nFINTECH.\n\nLOGISTICS.\n\nTOURISM.\n\nENERGY.\n\nSOFTWARE.\nPUBLIC SERVICES.\nEXPORTS.\nEach agent combines permitted data, models and workflows around a real economic sector.\nAI BUILT AROUND THE ECONOMY\u2014not just around prompts.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAGRO AI\u2122\n\nUruguay has an obvious vertical opportunity:\n\nAGRICULTURE.\n\nLIVESTOCK.\n\nFOOD.\n\nEXPORTS.\n\nLAND.\n\nWEATHER.\n\nSUPPLY CHAINS.\n\nImagine AI agents helping authorized users analyze:\n\nPRODUCTION.\n\nTRACEABILITY.\n\nLOGISTICS.\n\nFORECASTS.\n\nRESOURCE USE.\n\nMARKET INFORMATION.\n\nFROM AGRICULTURAL DATA \u2192 AGRICULTURAL INTELLIGENCE.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nENERGY AI\u2122\n\nAI requires enormous infrastructure.\n\nInfrastructure requires energy.\n\nCreate intelligence around:\n\nGENERATION.\n\nDEMAND.\n\nCOMPUTE.\n\nDATA CENTERS.\n\nSTORAGE.\n\nGRID CONDITIONS.\n\nCARBON INTENSITY.\n\nINFRASTRUCTURE LOCATION.\n\nThen help connect AI infrastructure projects with suitable energy and development opportunities.\n\nCOMPUTE MEETS POWER.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAI CLOUD URUGUAY\u2122\n\nThe bigger opportunity could eventually become infrastructure.\n\nGPU COMPUTE.\n\nPRIVATE AI.\n\nMODEL HOSTING.\n\nAGENT HOSTING.\n\nENTERPRISE DATA.\n\nREGIONAL CLOUD.\n\nEDGE COMPUTE.\n\nCreate a local access layer connecting organizations with appropriate AI infrastructure.\n\nBUILD LOCALLY. SERVE REGIONALLY.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nLATAM GATEWAY\u2122\n\nUruguayAI doesn't need to stop at Uruguay.\n\nThe country can become the launch point.\n\nURUGUAY\n\u2192 ARGENTINA\n\u2192 BRAZIL\n\u2192 CHILE\n\u2192 PARAGUAY\n\u2192 LATIN AMERICA.\n\nSpanish.\n\nPortuguese.\n\nRegional infrastructure.\n\nRegional businesses.\n\nRegional datasets.\n\nBUILD IN URUGUAY. SCALE ACROSS LATAM.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAI EXPORT\u2122\n\nUruguay already exports software talent.\n\nNow imagine exporting:\n\nAI AGENTS.\n\nAI SOFTWARE.\n\nMODELS.\n\nAUTOMATION.\n\nDATA SERVICES.\n\nCYBERSECURITY.\nVERTICAL AI.\nUruguayAI becomes a marketplace for discovering Uruguayan AI capability globally.\nEXPORT INTELLIGENCE\u2014not just software.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\nSTARTUP LAUNCH\u2122\n\nFounder has an idea.\n\nHelp connect:\n\nCOFOUNDER.\n\nENGINEER.\n\nCLOUD.\n\nLEGAL.\n\nACCOUNTING.\n\nCAPITAL.\n\nCUSTOMERS.\n\nMENTORS.\n\nACCELERATORS.\n\nGOVERNMENT PROGRAMS.\n\nREDUCE THE DISTANCE BETWEEN IDEA AND AI COMPANY.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nCAPITAL MAP\u2122\n\nInvestors need discovery too.\n\nWhich companies exist?\n\nWho is raising?\n\nWhat sectors are growing?\n\nWhich founders have traction?\n\nWhich technologies are emerging?\n\nCreate an intelligence layer around the country's AI startup economy.\n\nMAKE URUGUAY INVESTABLE FROM ONE INTERFACE.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nENTERPRISE AI\u2122\n\nMany companies don't need to train frontier models.\n\nThey need to know:\n\nWHERE CAN AI CREATE VALUE?\n\nCUSTOMER SERVICE?\n\nOPERATIONS?\n\nSALES?\n\nFINANCE?\n\nLOGISTICS?\n\nDOCUMENTS?\n\nSOFTWARE?\n\nCreate a marketplace connecting enterprises with vetted AI builders, platforms and deployment partners.\n\nFROM \u201cWE NEED AI\u201d \u2192 \u201cHERE'S WHAT WE BUILD.\u201d\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAI SANDBOX\u2122\n\nA compelling long-term vision:\n\nmake Uruguay a place where companies can safely test emerging AI applications.\n\nAGENTS.\n\nAUTOMATION.\n\nROBOTICS.\n\nFINTECH.\n\nAGTECH.\n\nSMART INFRASTRUCTURE.\n\nDIGITAL GOVERNMENT.\n\nWithin appropriate legal, security and regulatory frameworks.\n\nA COUNTRY-SCALE LABORATORY FOR RESPONSIBLE AI DEPLOYMENT.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nPUBLIC AI\u2122\n\nGovernments increasingly need their own AI capabilities.\n\nDOCUMENT INTELLIGENCE.\n\nPUBLIC INFORMATION.\n\nWORKFLOW AUTOMATION.\n\nDATA ANALYSIS.\n\nCITIZEN SERVICES.\n\nPROCUREMENT.\n\nTRANSLATION.\n\nACCESSIBILITY.\n\nUruguayAI could become a bridge between public-sector needs and qualified technology providers.\n\nUSE AI TO MAKE DIGITAL GOVERNMENT MORE USEFUL.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nURUGUAY DATA\u2122\n\nModels are increasingly commoditized.\n\nHigh-quality contextual data isn't.\n\nBuild secure, permissioned infrastructure around valuable local datasets.\n\nECONOMY.\n\nENERGY.\n\nAGRICULTURE.\n\nLOGISTICS.\n\nTOURISM.\n\nPUBLIC DATA.\n\nRESEARCH.\n\nLOCAL DATA \u2192 LOCAL CONTEXT \u2192 BETTER LOCAL INTELLIGENCE.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nSPANISH AI\u2122\n\nLatin America represents an enormous language opportunity.\n\nBuild:\n\nSPANISH DATASETS.\n\nSPANISH EVALUATION.\n\nLOCAL TERMINOLOGY.\n\nREGIONAL CONTEXT.\n\nVOICE.\n\nCUSTOMER SERVICE.\n\nLOCAL AGENTS.\n\nAI THAT DOESN'T JUST SPEAK SPANISH.\n\nAI THAT UNDERSTANDS THE REGION.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nAI ACADEMY\u2122\n\nThe ecosystem ultimately depends on people.\n\nTeach:\n\nAI LITERACY.\n\nPROMPTING.\n\nAUTOMATION.\n\nAGENTS.\n\nDATA.\n\nMACHINE LEARNING.\n\nAI ENGINEERING.\n\nAI SECURITY.\n\nAI ENTREPRENEURSHIP.\n\nCreate pathways from:\n\nSTUDENT\n\u2192 SKILL\n\u2192 PROJECT\n\u2192 JOB\n\u2192 STARTUP.\n\nBUILD THE PEOPLE WHO BUILD THE ECOSYSTEM.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nURUGUAY AI GRAPH\u2122\n\nCOUNTRY\n\u2193\nPERSON\n\u2193\nSKILL\n\u2193\nUNIVERSITY\n\u2193\nSTARTUP\n\u2193\nENTERPRISE\n\u2193\nDATA\n\u2193\nMODEL\n\u2193\nAGENT\n\u2193\nCOMPUTE\n\u2193\nENERGY\n\u2193\nCAPITAL\n\u2193\nGOVERNMENT\n\u2193\nDEPLOYMENT\n\u2193\nOUTCOME\n\u2193\n\nNATIONAL AI INTELLIGENCE\n\nLinkedIn understands:\n\nPEOPLE.\n\nCloud providers understand:\n\nCOMPUTE.\n\nVC platforms understand:\n\nCAPITAL.\n\nGovernments understand:\n\nPROGRAMS.\n\nhttps://t.co/7IfPyuKboc could connect:\n\nTALENT + STARTUPS + COMPUTE + DATA + ENERGY + CAPITAL + ENTERPRISE + GOVERNMENT.\n\nThat's the moat.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\ud83d\udd25\n\nTHE FLYWHEEL\n\nMore talent joins.\n\u2193\nMore startups become visible.\n\u2193\nMore enterprises find solutions.\n\u2193\nMore deployments happen.\n\u2193\nMore capital enters.\n\u2193\nMore infrastructure gets built.\n\u2193\nMore talent stays and arrives.\n\u2193\nMore companies launch.\n\u2193\nThe Uruguay AI Graph compounds.\n\nMORE TALENT \u2192 MORE COMPANIES \u2192 MORE DEPLOYMENTS \u2192 MORE CAPITAL \u2192 STRONGER ECOSYSTEM.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\ud83d\udcb0 THE BUSINESS MODEL\nEnterprise memberships.\nStartup memberships.\nRecruiting.\n\nAI marketplace commissions.\n\nCloud and compute partnerships.\n\nEnterprise AI services.\n\nAI education.\nInvestment intelligence.\nSponsored ecosystem profiles.\nEvents.\nAPIs.\nGovernment partnerships.\nRegional expansion.\nEventually:\nTHE DIGITAL OPERATING LAYER FOR URUGUAY'S AI ECONOMY.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\nWHY https://t.co/7IfPyuKboc STANDS OUT\nBecause the domain doesn't describe one product.\nIt can represent an entire national category.\nUruguay AI.\nUruguayAI Cloud.\nUruguayAI Agents.\nUruguayAI Ventures.\nUruguayAI Academy.\nUruguayAI Labs.\nUruguayAI Data.\nUruguayAI Compute.\nUruguayAI Summit.\nUruguayAI Capital.\nUruguayAI Government.\nAnd geographically:\nURUGUAY + AI\nis immediately understandable anywhere in the world.\nThat's powerful positioning for the organization that wants to become synonymous with the country's AI ecosystem.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\nTHE BUYERS I'D TARGET FIRST\nUruguayan technology companies wanting to own the national AI category.\n\nCloud and infrastructure providers expanding AI capacity in Latin America.\n\nTelecommunications companies moving deeper into AI infrastructure and enterprise services.\n\nAI companies looking for a regional LATAM base.\n\nUniversities and innovation organizations building AI ecosystems.\n\nInvestment groups and venture studios developing Uruguayan technology companies.\n\nEnterprise software companies connecting AI solutions with regional businesses.\n\nExperienced Latin American founders capable of turning Uruguay into the first node of a larger regional AI network.\n\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1\n\nTHE BUYER PITCH\n\nDon't launch another AI startup in Uruguay.\n\nBuild the platform around all of them.\n\nConnect the talent.\n\nMap the companies.\n\nConnect the universities.\nBring in the compute.\nConnect the energy.\nOpen the data.\nDeploy the agents.\nHelp enterprises adopt.\nHelp founders launch.\nHelp investors discover.\nHelp talent build.\nHelp international companies enter.\nThen use Uruguay as the first node in a much larger Latin American intelligence network.\nBecause the countries that benefit most from AI may not simply be the ones that use it.\nThey may be the ones that create an ecosystem where:\nAI COMPANIES WANT TO BUILD.\nThat's the company.\n\ud83c\uddfa\ud83c\uddfe\ud83e\udde0\u26a1 https://t.co/7IfPyuKboc\nCONNECT THE TALENT.\n\nBUILD THE ECOSYSTEM.\n\nPOWER URUGUAY'S AI FUTURE.\u2122\n\nAvailable now at the https://t.co/k6aRlccAPi marketplace.\n\nhttps://t.co/7IfPyuKboc is available for acquisition.\n\nWe're also open to building the opportunity with the right partner.\n\n#UruguayAI #Uruguay #ArtificialIntelligence #AI #AgenticAI #AIAgents #LATAMTech #LatinAmerica #TechUruguay #SovereignAI #AIInfrastructure #EnterpriseAI #AgTech #FinTech #CleanEnergy #DataCenters #CloudComputing #DigitalTransformation #StartupEcosystem #DeepTech #StartupIdeas #VentureCapital #PremiumDomain #DomainForSale #DotcomsIO",
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    "text": "Amazon just stopped Elon Musk's AI with a text file. Elon's response was to buy Legos.\n\n> Musk announced you can now photograph your credit card, send it to Grok, and it will search the entire internet for the best price and buy it for you.\n\n> An OpenAI executive replied with a photo of a fake credit card with his own name on it.\n\n> Then someone pointed out that Amazon had started blocking Grok.\n\n> Amazon's wall is a text file called robots.txt.\n\n> It's a list of AI bots with the word \"Disallow\" next to each.\n\n> Grok is on it. So are ChatGPT, Claude, Copilot and Perplexity.\n\n> The most hyped shopping AI on Earth was stopped by the digital version of a \"Please Keep Off the Grass\" sign.\n\n> Musk said Grok would \"find another way.\"\n\n> The other way was LEGO.\n\n> He told Grok to find the most fun Star Wars LEGO set for a young child. It found one and bought it on LEGO's website with his Amex.\n\n> The AI built to take on the everything store spent its first taste of freedom buying a toy.\n\n> Then Paul Graham said Amazon blocking AI agents is the best opening for startups since 1994.\n\n> Musk quote-posted it with one word: \"Seriously.\"\n\n> Amazon makes about $56 billion a year from ads, and ads only work if a human scrolls past them. A robot that ignores every sponsored listing is a threat to that business.\n\n> Amazon has its own shopping AI. It's allowed in. It politely identifies itself at the door.\n\n> So the plan is now to build a rival to the company with the biggest delivery network on Earth, because one chatbot got told no by a .txt file.\n\nThe AI that can supposedly buy anything from anyone got blocked by one file, and it responded by ordering Star Wars Legos.\n\nYou cannot make this up.",
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    "text": "There's a crazy reason behind how I understood the true importance of fully decentralizing compute. The story needs telling, so here goes.\n\nBack in 2015, I'd long shifted to being part of the early crypto scene, but maintained Fight My Monster, a venture-backed MMO game & social network I previously founded that had 3M users, which was self-sustaining financially. \n\nI'd found a long-term home working on decentralized compute, but couldn't let down the community that played the game.\n\nFight My Monster was built in 2010-2012, using what was a completely novel architecture at the time that enabled it to scale (i.e. add massive amounts of users) at low cost, and with minimal administration. \n\nEssentially it comprised three core backend components. The first, was simple web hosting, which served the frontend game code and assets into its users' web browsers (I used a popular content distribution network).\n\nJust like the web-serving, the two other backend components had to be \"horizontally scalable,\" which means that to support more users, and the associated compute and data, all I had to do was add more hardware, without any need to rewrite the backend software code, or perform excessive systems administration. This enabled me to scale fast in the early days, with minimal staff and financing. \n\nThe second component, was a horizontally scalable game server framework called \"Starburst\", which was a work of love I created myself. This was built on top of an open source server that supported RTMP, an Adobe network protocol that allowed Flash media (remember that!!) assets running inside web browsers to directly talk to it. Starburst hosted game/social network logic and routed huge numbers of events being generated by the game to users in near realtime. \n\nThe third component was a horizontally scalable NoSQL database called Cassandra (if you follow databases, you'll know that a modern derivative called ScyllaDB is currently doing well serving realtime AI needs).\n\nOn my team, I had the only Cassandra core committer outside the company that built it. Further, I was the first serious party using the Cassandra beta in anger, and it got corrupted at 800,000 users, which was followed by a very testy 24 hours recovering the data, and bringing it back online (one moment I was going to the moon, the next moment I thought things had gone irreversibly wrong, but luckily things worked out).\n\nWhat was cool about Cassandra was that you could literally just add nodes (i.e. server machines with big hard drives installed) to horizontally scale its storage capacity, read throughput, and most importantly, its write throughput, which is very rare thing, and in my application absolutely crucial, because Fight My Monster generated a simply vast amount of data.\n\nOf course, another very important aspect of Cassandra was that it was fault tolerant, and I used a replication factor of 5, which meant everyone's data was very safe (or so I thought...). A replication factor of 5 meant I only needed nodes 3 online, for any specific \"quorum of data,\" for it to be writable.\n\nUnlike a blockchain, Cassandra wasn't Byzantine Fault Tolerant, which meant that I had to manage the security of my infrastructure carefully to make sure hackers or malware didn't get in. But back then, hackers weren't interested in an MMO game/social network where most of the users were kids, and this wasn't supposed to be a general platform for others to build on.\n\nMy main technical work pressure was just that the nodes hosting the database were under enormous strain owing to the amount of data being generated, and would therefore regularly blow up! This meant that I would have to login to my infra every so often, decommission broken nodes, and add new ones, which was easy enough, because the fault tolerance meant the job didn't have to be done immediately, and the \"bare metal\" machines involved could be orchestrated through my cloud provider...\n\nFight My Monster used a setup years ahead of its time, and it allowed me to scale up with ease. Moreover, the fault tolerance, and the simple backend architecture  with only 3 core system components, meant minimal administration and stress was involved in keeping it running. \n\nSo what was the important lesson, which plays an important role in my thinking, and in ICP, to this day? You must surely have sensed that something crazy happened, and now I will share it publicly for the first time.\n\nI was traveling in Asia, as part of the \"traveling circus\" associated with the early core Ethereum community, visiting related parties (people often forget the importance of Asia, and China particularly, in helping support the early crypto scene) and attending Ethereum-related events, where I mainly talked about complex Computer Science techniques I had developed that I wanted to be used to make networks like Bitcoin and Ethereum scale and perform better. \n\nI don't want to drone on about \"what is used to be like in crypto,\" but I will say that it was a magical time, and I owe a lot to early people for some amazing memories. It was also engaging, and I wasn't checking my email. \n\nConsequently, what I did not see on my travels, were email after email warning me of the fact that the credit card that was paying for Fight My Monster's Cassandra nodes had expired....\n\nSo what did the cloud operator do when I didn't respond within a few weeks (it wasn't many, but I forget the exact number). Well, they simply deleted all the nodes!!!\n\nIt's hard to describe how I felt when I got back home to Palo Alto in California, and discovered what had happened. It was a mixture of shock and horror, a kind of hollow feeling in my stomach, adrenaline surges, and unfolding dread, as I worked as fast as I could to fix it, only to confirm that what had happened was irreversible. People who've been hacked in crypto will know the feeling. \n\nThat was it. Fight My Monster was dead. Some part of the community even created a change dot org website pleading for it to be brought back online. \n\nDespite the loss of what it might have been worth, and the guilt, in some ways it was liberating, as I no longer had responsibility to maintain it, which probably would have done ad infinitum for the community. Plus it became a fond memory for a generation of kids and some adults that played it, before the game had a chance to grow too old and tired, and it allowed me to focus on what had become my obsession \u2014\u00a0decentralized compute networks.\n\nThe lesson however was very clear to me. You can create decentralized compute infrastructure that can scale, and is fault tolerant, but if you have a single point of failure, anywhere, at any moment, it can be toast. \n\nThat's why I'm always concerned when I hear about blockchains that depend on administrator keys held by the core devs, or blockchains that go down, or almost go down, when a huge chunk of their nodes are shutdown by a cloud running them, or because the cloud running them has technical problems. This problem of great fragility is vastly more prevalent than you might imagine in our industry.\n\nThe learnings from the Fight My Monster disaster informed how the Internet Computer was designed. \n\nIt's not only the number of nodes that matters, there are more important things. If nodes are anonymous, the number of independent parties running the bulk of them might be far less than you might think. Further, while large in number, they often turn out to be running on a small number of clouds\u2014\u00a0and even if they are owned and operated by a few different parties, the cloud might suddenly decide it doesn't want them anymore, and shut them down overnight, as Hetzner once did to a famous blockchain. \n\nWhat matters in practice is the number of independent parties running the nodes, and the physical and jurisdictional independence of the nodes. This simple insight is that was behind \"deterministic decentralization,\" which will appear in new form inside the forthcoming \"ICP cloud engines\" extension of the Internet Computer.\n\nICP cloud engines allow enterprises (typically) to create what is effectively an Internet Computer subnet whose configuration they themselves control, by choosing nodes to combine from a pool that acts as a marketplace. Currently there are more than 1.5k nodes waiting, and the number is growing. \n\nAn engine provides a serverless cloud platform with remarkable properties. It is the ideal place for AI-built apps and services, because the has been stack designed to allow AI to generate advanced AIware software with ease, which AIware is secure and resilient.\n\nApps are tamperproof (immune to infrastructure hacks), always-on (and thus incredibly resilient), optionally autonomous (which means there is no backdoor), digital assets native, and many other things. Engines also run e.g. the Open SaaS suite of AIware apps that can be used to run enterprises end-to-end. Cloud engines make installing and maintaining complex apps like Open CRM or Open Email as simple as installing and maintaining phone apps. \n\nNodes are hot-swappable. That means you can change the compute replication factor, swap out the nodes for different ones, without interrupting what the cloud engine hosts, providing freedom from compute vendor lock-in, and, if you want, you can use a new class of nodes on hyperscalers, as well as traditional Internet Computer nodes, so it will function as a general compute marketplace. \n\nThe cloud engine framework guides people to combine nodes that have independence, but provides flexibility that shared Internet Computer hosting doesn't have. For example, an enterprise in Germany might choose nodes that reside only in the EU, to meet GDPR requirements. \n\nHowever, the cloud engine console, which is autonomous, and served from the Internet Computer network, and updated by the NNS (the Network Nervous System, the world's most advanced DAO), guides users and warns them heavily if they combine nodes from the same node provider, or which are based in the same data center, say, or run by the same cloud operator. \n\nThus, even with ICP cloud engines, the lessons of Fight My Monster live on. \n\nPeople will wonder why the framework pushes them so strongly to combine independent nodes, but there is a good reason, which is just as relevant for the wider blockchain community today, as it was in 2015. \n\nLooking forward to sharing cloud engines soon.",
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    "text": "The Death of Bloatware: Why Claude and Codex Are Unbundling the $300B SaaS Industry\n\nThe real threat to enterprise SaaS isn't that AI models will replace software-it\u2019s that AI makes 90% of legacy software completely redundant.\n\nWhy pay $150/user/month for Salesforce when Claude or Codex can build a custom, zero-bloat internal CRM in an afternoon?\n\nHere is why the \"Bespoke AI Software\" paradigm is coming for enterprise margins:\n\n1. The Unbundling of Bloatware Legacy SaaS companies scale revenue by adding endless features to justify price increases. \n\nThe average enterprise uses less than 15% of Salesforce\u2019s feature set, yet pays for the entire monolithic stack. \n\nModern LLMs let teams generate lightweight, hyper-specific tools tailored exactly to their operational workflow/eliminating vendor overhead entirely.\n\n2. The Shift from Buy vs. Build to \"Prompt to Deploy\" \n\nHistorically, building custom internal tools required dedicated dev ops, database architecture, and ongoing maintenance costs. \n\nToday: \n\n\u2022 Non-engineers can vibe-code internal dashboards using Claude/Cursor. \n\n\u2022 Workflows are generated on demand rather than shoehorned into legacy UIs. \n\n\u2022 API-first infrastructure (Supabase, Vercel, Neon) handles backend complexity in minutes.\n\n3. The Wall Street Blindspot Bulls argue that large enterprises won't rip out Salesforce due to SOC2 compliance and security audits. \n\nThat\u2019s true for Fortune 500 core systems-but SMBs, mid-market companies, and internal departmental teams are quietly abandoning seats in favor of self-hosted, AI-built micro-apps.\n\nSaaS isn't collapsing because software is obsolete; it's collapsing because pricing power collapses when custom software creation cost drops to zero.",
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    "text": "Most apps don't have a product problem.\n\nThey have a distribution problem.\n\nHere's a practical playbook to grow your app from 0 to 100K users.\n\nNo generic growth hacks. No BS. Just what actually works.\n\nFrom someone who does Growth for YC/a16z startups. https://t.co/3aVMFlM6s9",
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    "text": "I just added another $10M to my run rate in 6 weeks. \n                                                                                                                                                                              \nHere's every idea I tried before hitting $20M ARR: \n\n1. Moved to New York at 21.  \n\nI studied financial engineering at Columbia and I wanted to be a founder, but didn\u2019t have the guts.  \n\n2. Joined a startup hedge fund on Wall Street.  \n\nI wanted to learn how things get built from scratch, it died in a year.  \n\n3. Joined Barclays Capital.  \n\nI worked on the trading floor for 2 years. I had a lot of friends building software back then and I started to feel inspired.  \n\n4. Learned how to code.  \n\nMy best friend told me that once I learned, I could build anything. So I did. Nights and weekends. For 6 months straight.  \n\n5. Shipped my first app.  \n\nDid it under alias Ben Cera so my finance boss wouldn\u2019t find out. People loved it. I quit my job, bootstrapped the company for a year\u2026 it failed.  \n\n6. Built a photo messaging app.  \n\nJosh Kushner from Thrive Capital loved it and invested $1 million from his brand new fund.  \n\n7. Pivoted into a people discovery app.  \n\nIt had massive traction, but then I realized I was building a dating app and decided to walk away.  \n\n8. Moved to LA.  \n\nI became the CTO of a tech enabled interior design startup. We raised $20M from Founders Fund and Zillow Group.  \n\n9. Worked with Uber\u2019s founder.  \n\nTravis Kalanick bought CloudKitchens and I got a meeting. I decided to join as a product manager. 2 years later, I was leading a new division I had built from scratch.  \n\n10. Decided to come back to the arena.  \n\nI moved to Paris to start a new company called GiftShop with my good friend and raised $8M. After 2 years of co-founder tension, I finally walked away to go solo.  \n\n11. Started Polsia Inc.  \n\nDecided that i wanted to start working with AI right away, but also take a break and see the world.  So I starting traveling the world and touring most of Asia.  \n\n12. Built Blanks.  \n\nAn iPhone app that builds iPhone apps using AI. Failed.  \n\n13. Built Decision AI.  \n\nAn AI that helps you make decisions with AI. Zero customers.  \n\n14. Started Polsia.  \n\nI went all in on the idea of building a company that builds and runs companies with AI. I built the first version and moved to San Francisco.  \n\n15. Polsia worked.  \n\n5 months later, I had 10,000+ customers, a $10M run rate, and raised $30M on a $250M valuation.\n\nNow, I have 25,000+ customers, a $20M run rate, and we're about to hit $25M very soon.   \n\nThis is 20 years of failing and starting over.\n\nUntil it finally clicked...   \n\nEvery lesson is tuition, nothing is ever wasted.",
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    "text": "Nearly a million views in the last few weeks yet almost zero downloads and zero customers lol. \n\nLooking back, the real problem wasn't distribution. My app is a nice-to-have, it doesn't solve a painful problem, and it sits in that app space that's already saturated. Views were never going to fix that.\n\nFor some background, I'm the solo founder of Takeout Escape, an iOS app that blocks food apps like DoorDash and Uber Eats and makes you take a photo of your fridge. I worked at a couple of big tech companies before (meta, amazon, samsung, IBM) and always wanted to make my own saas business. I came up with this idea last year to help people lose weight and save money. The idea felt really cool in my head since I was ordering tons of food delivery and my friends all seemed to like it.\n\nAnyway the app got released in december\u00a02025 and over the past year I tried every channel you'd tell someone to try: my own talking head/reaction hook videos on tiktok/ig, slideshows, hiring creators to do Canvas UGC, TikTok ads and Apple Search Ads. All of this for a grand total of around 100 downloads and 1 paying customer (one of the creators I hired for UGC).\n\nI thought my problem was views. I kept hearing you can sell any app as long as the top of the funnel volume is high, i.e. millions of social media views = thousands of customers. I kept grinding since most of this year, my posts only got a few hundred views each. That changed however In the last two weeks when my tiktok kinda blew up. I thought this was finally a turning point. I got around a million views\u00a0but all those views resulted in zero paying customers.\n\nCouple of my slideshows blew up and got hundreds of thousands of views each. After the first one not converting, I thought it was a CTA problem. I tried different CTAs used in this niche but none of it made a difference. \ud83d\ude22\ud83d\ude22\ud83d\ude22",
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    "text": "You may not need a team to build a company anymore. You may just need AI.\n\nTreasury Secretary Scott Bessent recently pointed to record tax ID applications and payment portal requests from small businesses, saying AI is helping enable more one-, two-, and three-person startups.\n\nThe data is moving in the same direction. New business applications have surged, with professional services and information among the strongest areas. July 2026 recorded the highest monthly total since tracking began in 2004.\n\nA founder can now use AI for coding, research, design, analysis, marketing, customer support, and routine operations that once required several employees.\n\nThat makes professional services and information especially interesting. When the product is software, knowledge, content, or analysis, one person can potentially serve thousands of customers without first building a factory or warehouse.\n\nPhysical businesses face a different ceiling.\n\nAI can help a retailer forecast demand and optimize inventory, but it cannot create products that don't exist.\n\nIt can optimize logistics, but trucks, warehouses, roads, and fuel are still physical constraints.\n\nIt can automate a factory, but materials, machines, electricity, and space still have limits.\n\nSo as AI pushes labor further down the list of constraints, something else takes its place.\n\nFor digital businesses, the next bottleneck may be customers.\n\nFor physical businesses, it may be inventory, logistics, energy, infrastructure, or production capacity.\n\nAI is lowering the cost of starting a company. The fascinating question is how far one person can scale before the physical world becomes the bottleneck.\n https://t.co/nxjN6rvMzq",
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    "text": "the first months after i started charging for Indilingo were painfully slow.\n\nit's bootstrapped, and it has since crossed 100K users.\n\nwhen i look back, the part i'd point to is the problem. learning any language from any language is something a lot of people need.\n\ndistribution is very important. but with AI, moats are vanishing fast, so if you're starting now, spend real time picking the problem.\n\ni knew Indilingo was a good one when i started. i never expected it to matter to this many people.",
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    "text": "Reed Nyffeler built his business around one simple principle:\n\n\u201cOne customer, one day.\u201d\n\nThat focus eventually grew to 10,000 customers a day across 48 states and nine countries.\n\nDon't obsess over millions. Start by creating real value for one person.\n\nFollow me for insights from the world's most successful entrepreneurs.\n\nhttps://t.co/4WtumL9Gsm",
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    "text": "Dario Amodei talked about what a one-person billion-dollar company could look like.\n\nHe didn't give an official checklist, but I turned the examples from his answer into three filters to choose a business I could realistically build.\n\n\u2192 Does the business deploy its own capital?\n\nDario's example was a proprietary trading firm.\n\nA real estate flipping business or used car dealership follows a similar pattern: use your money to buy something, improve or trade it, and sell it for more.\n\nYou may not need thousands of customers, but you do need capital, expertise, and the ability to absorb losses.\n\nI ruled this route out because I wanted something someone could start without risking a large amount of their own money.\n\n\u2192 Can software deliver the result?\n\nClaude Code makes building useful software much more accessible.\n\nBut I could still build myself a full-time job if every customer needs custom onboarding, a sales call, and ongoing help.\n\nI wanted a result the software could deliver repeatedly.\n\n\u2192 Can sales and routine support be automated without making the customer experience worse?\n\nThis narrowed the options the most.\n\nThe customer needs to understand what they're buying, get started easily, and receive value without a consultation.\n\nA file converter fits that pattern.\n\nA product that requires me to explain a different implementation to every customer probably doesn't.\n\nI landed on Agent Report Card: software that tests customer support agents and produces a report showing where they fail.\n\nAn agency can connect its agent, run the tests, and get a deliverable it can share with its client.\n\nRoutine questions can go through AI support, while refunds and account deletion still come to me.\n\nThat's the kind of workload I was trying to design for one person.",
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    "text": "The Million-Dollar Startup Is Losing Its Meaning.\n\nLet's talk about another uncomfortable truth about the startup ecosystem.\n\nWe're entering an era where building a technology startup is easier than ever, but justifying its valuation could become increasingly difficult.\n\nFor decades, building a software company was a considerable challenge.\n\nYou needed developers.\n\nDesigners.\n\nInfrastructure engineers.\n\nServers.\n\nCapital.\n\nMonths, sometimes years, of development.\n\nAnd most importantly, you needed to convince other people that your idea was worth the time, money, and resources required to turn it into a real product.\n\nToday, much of that process has changed.\n\nA single person with technical knowledge, access to artificial intelligence models, and a few cloud services can build in weeks what once required an entire team.\n\nThey can build the frontend.\n\nGenerate the backend.\n\nIntegrate payments.\n\nAutomate customer support.\n\nCreate marketing campaigns.\n\nDeploy an application.\n\nAnd start selling subscriptions without hiring a single employee.\n\nThis represents one of the most important advances in the democratization of software development.\n\nBut it also raises a question the startup ecosystem should seriously begin discussing.\n\nIf almost anyone can build a startup, what actually makes a startup worth a million dollars?\n\nBecause building a product and building a company have never been exactly the same thing.\n\nAnd artificial intelligence is making that distinction increasingly obvious.\n\nThe Cost of Building Software Is Changing. What About Its Value?\n\nImagine two scenarios.\n\nIn 2015, an entrepreneur wanted to develop a SaaS platform to automate business processes.\n\nThey probably needed to hire developers, designers, and infrastructure specialists.\n\nThey had to invest months building features, fixing bugs, and preparing the product for its first customers.\n\nDevelopment required a considerable investment.\n\nNow imagine another entrepreneur in 2026.\n\nThey want to build a platform with similar functionality.\n\nThey use AI coding tools, integrate language models, configure a managed database, and deploy their application to the cloud.\n\nWithin weeks, they have a working product.\n\nThe difference in required resources can be enormous.\n\nBut here's where an interesting contradiction appears.\n\nJust because something becomes cheaper to build doesn't necessarily mean it becomes less valuable.\n\nThe economic value of a company doesn't depend exclusively on how much money was spent developing its technology.\n\nIt depends on its ability to generate future profits, retain customers, grow, and defend its competitive position.\n\nA company built with $5,000 could become an extraordinary business.\n\nMeanwhile, another company that consumed $5 million might never find a sustainable market.\n\nThe problem isn't that building software is becoming cheaper.\n\nThe problem begins when we confuse the ability to create a product with the existence of a competitive advantage.\n\nAnd that confusion is starting to define much of modern startup culture.\n\nWe've Turned Product Launches Into a Competition.\n\nOpen X on any given day.\n\nYou'll find entrepreneurs announcing that they built a SaaS over the weekend.\n\nOthers celebrate launching five products in a month.\n\nSome share Stripe screenshots.\n\nOthers announce their first $100 in MRR.\n\nAnd many present their latest application as a technological revolution.\n\nThere's nothing wrong with celebrating these achievements.\n\nGetting your first customer matters.\n\nGenerating your first revenue is an accomplishment.\n\nLaunching a product demonstrates initiative.\n\nBut there's an enormous difference between celebrating an experiment and proving you've built a sustainable company.\n\nAn application can have users without having a viable business model.\n\nIt can generate revenue without generating profits.\n\nIt can grow rapidly while losing money on every customer.\n\nIt can attract thousands of registrations and later discover that almost nobody is willing to pay.\n\nAnd it can have an impressive interface without solving a problem important enough to justify its existence.\n\nYet social media tends to reward what's visible.\n\nA launch.\n\nA revenue milestone.\n\nA growth chart.\n\nA success story.\n\nWhat we rarely see is what happens afterward.\n\nHow many customers are still paying six months later?\n\nHow much does it cost to acquire each customer?\n\nHow much money remains after paying for infrastructure, AI models, customer support, and distribution?\n\nHow long does the average user remain active?\n\nCan the business survive without its founder constantly posting on social media?\n\nThese questions are less attractive when you're trying to generate impressions.\n\nBut they're much more important when you're trying to build a company.\n\nWe're celebrating launch velocity while paying less attention to survival.\n\nThe Million-Dollar Valuation Is Becoming a Psychological Trophy.\n\nFor years, reaching a million-dollar valuation represented a symbol of success for many entrepreneurs.\n\nIt didn't necessarily mean the company had a million dollars in the bank.\n\nIt didn't mean its founders were millionaires.\n\nIt was an estimate of the company's value.\n\nAnd that distinction matters.\n\nA startup can raise $100,000 in exchange for 10% of its equity and announce a $1 million post-money valuation.\n\nBut that transaction doesn't automatically prove that someone would purchase the entire company for that amount.\n\nIt doesn't guarantee that its shares can be easily sold.\n\nPrivate startup valuations depend on negotiations, investor expectations, shareholder rights, and assumptions about future performance.\n\nThey aren't equivalent to available cash.\n\nAnd they certainly aren't equivalent to realized profits.\n\nYet in startup culture, valuations often become trophies.\n\nOne founder announces that their company is worth $1 million.\n\nAnother announces $5 million.\n\nSomeone else raises capital at a $10 million valuation.\n\nBut there's a question we should be asking much more frequently.\n\nWhat exactly is the investor buying?\n\nTechnology that's difficult to replicate?\n\nA customer base with strong retention?\n\nExtraordinary distribution?\n\nIntellectual property?\n\nUnique data collected legitimately?\n\nAn exceptional team?\n\nOr simply expectations of growth in a fashionable market?\n\nNot all of these answers are equally convincing.\n\nAnd in an economy where developing products is becoming increasingly accessible, understanding that difference will be essential.\n\nArtificial Intelligence Is Lowering the Barriers to Entry.\n\nFor a long time, technical complexity served as a barrier to entry in certain businesses.\n\nNot everyone could develop an enterprise system.\n\nNot everyone had the knowledge required to build a scalable application.\n\nNot everyone could integrate multiple services, manage servers, and maintain production infrastructure.\n\nAI is reducing some of those barriers.\n\nAnd that's a good thing.\n\nMore people can experiment.\n\nMore entrepreneurs can validate ideas.\n\nMore small businesses can access tools that were previously beyond their budgets.\n\nBut there's an economic consequence.\n\nWhen the supply of similar products increases, differentiation becomes more important.\n\nImagine you develop an AI-powered content generation platform.\n\nYou acquire your first customers.\n\nYou charge a monthly subscription.\n\nThe business starts working.\n\nBut then twenty other products appear with similar features.\n\nSome offer lower prices.\n\nOthers integrate more models.\n\nOthers have better interfaces.\n\nAnd some have significantly stronger distribution.\n\nWhat prevents your customers from leaving?\n\nIf your only advantage was building the product first, that probably won't be enough.\n\nIf your technology depends on APIs available to everyone, that doesn't guarantee a defensible position either.\n\nAnd if your strategy consists exclusively of adding more features, you could end up participating in an endless competition.\n\nA competition where everyone copies everyone.\n\nWhere differentiating features become commodities.\n\nAnd where users switch platforms because they discover a practically identical alternative for a few dollars less.\n\nAI can reduce the cost of building software, but it doesn't eliminate the cost of building a competitive advantage.\n\nWe're Confusing Revenue With Healthy Businesses.\n\nLet's talk about MRR.\n\nMonthly Recurring Revenue.\n\nOne of the most popular metrics among SaaS founders.\n\nSomeone reaches $1,000 MRR.\n\nAnother reaches $10,000.\n\nSomeone else shares that they've reached $50,000.\n\nThese are interesting numbers.\n\nBut they don't tell the entire story.\n\nImagine a startup generating $20,000 per month.\n\nIt sounds like an attractive business.\n\nNow let's examine its expenses.\n\nArtificial intelligence services.\n\nInfrastructure.\n\nPayment processing.\n\nAdvertising.\n\nExternal tools.\n\nCustomer support.\n\nEmployees.\n\nTaxes.\n\nRefunds.\n\nCustomer acquisition costs.\n\nAfter covering these obligations, the company might have a substantial margin.\n\nOr almost nothing could remain.\n\nTwo companies with exactly the same MRR can have completely different financial situations.\n\nOne might operate with strong margins and customers who remain for years.\n\nThe other might depend on expensive advertising campaigns and lose a significant percentage of its users every month.\n\nYet both can publish exactly the same headline.\n\n\"We just reached $20,000 MRR.\"\n\nThat's why we need to recover a conversation that seems less exciting than talking about growth.\n\nProfitability.\n\nCash flow.\n\nRetention.\n\nMargins.\n\nCapital efficiency.\n\nAnd the ability to generate revenue without permanently depending on new investment rounds.\n\nMRR proves that recurring revenue exists. It doesn't prove that a sustainable business exists.\n\nAre We Building Companies or Just Products to Sell?\n\nThere's another interesting transformation happening.\n\nThe ease of developing software is allowing many entrepreneurs to adopt a strategy based on building, launching, and selling small digital products.\n\nThis isn't necessarily negative.\n\nMicro-SaaS products can become profitable businesses.\n\nAn independent developer can build a specialized tool and generate revenue for years.\n\nA small application can solve a specific problem better than a large platform.\n\nAnd selling a digital business can be a perfectly reasonable entrepreneurial decision.\n\nBut there's a difference between building a product with the intention of selling it and building a company capable of sustainable growth.\n\nBoth approaches are legitimate.\n\nThe problem begins when we use the same metrics to evaluate fundamentally different businesses.\n\nA SaaS developed by one person and sold for $30,000 doesn't need to meet the same objectives as a startup that receives millions of dollars in venture capital.\n\nA venture-backed company typically needs sufficiently large growth opportunities to justify its investors' risks and return expectations.\n\nAn independent business can be extraordinarily successful by generating $15,000 in monthly profit for its owner.\n\nNot every company needs to become a unicorn.\n\nNot every company needs to raise investment.\n\nNot every company needs to grow at any cost.\n\nAnd perhaps one of the mistakes of modern startup culture is trying to apply the same definition of success to every technology business.\n\nA small, profitable company isn't necessarily less successful than a highly valued startup that's still losing money.\n\nThey simply represent different business models.\n\nThe Real Scarcity Is No Longer Just in the Code.\n\nFor years, knowing how to develop software represented a relatively scarce skill.\n\nToday, it's still valuable.\n\nEspecially when we're talking about complex engineering, security, distributed systems, infrastructure, and architecture.\n\nBut the ability to produce basic code is becoming increasingly accessible.\n\nThis could shift more value toward other capabilities.\n\nUnderstanding a market deeply.\n\nIdentifying real problems.\n\nBuilding customer relationships.\n\nDesigning experiences that generate trust.\n\nDeveloping distribution channels.\n\nMaintaining reliable systems.\n\nAnd transforming a technical solution into measurable economic results.\n\nImagine two founders.\n\nThe first masters multiple frameworks and can develop an application in three days.\n\nThe second takes several weeks, but has worked for years in a specific industry.\n\nThey understand its processes.\n\nThey understand its regulations.\n\nThey know how much money companies lose because of certain inefficiencies.\n\nAnd they have relationships with potential customers.\n\nWho is more likely to build a sustainable business?\n\nWe can't answer that question by looking exclusively at their technical abilities.\n\nBecause software is part of the business.\n\nIt isn't the entire business.\n\nTechnology allows you to deliver a solution.\n\nBut understanding why someone needs that solution, how much they're willing to pay, and why they'll continue using it is an entirely different challenge.\n\nAnd AI doesn't automatically solve those questions.\n\nThe Future Could Belong to Small but Extremely Efficient Companies.\n\nHere's where one of the most interesting opportunities emerges.\n\nFor decades, business growth was frequently associated with hiring more people.\n\nMore customers required more support.\n\nMore operations required more employees.\n\nMore products required more teams.\n\nAutomation and artificial intelligence could change some of those relationships.\n\nA small company could serve thousands of customers with a relatively small team.\n\nAI agents could automate administrative processes.\n\nIntelligent systems could help develop and test software.\n\nManaged infrastructure could reduce the need to operate proprietary servers.\n\nAnd marketing tools could simplify campaigns that once required entire departments.\n\nBut that doesn't mean all employees will disappear.\n\nIt doesn't mean AI agents can replace every human responsibility without risks.\n\nCompanies will still need judgment, supervision, legal accountability, security, and commercial relationships.\n\nWhat's interesting is something else.\n\nThe number of employees could become an increasingly unreliable indicator of the economic capacity of certain technology companies.\n\nWe could see businesses with small teams generating revenue previously associated with much larger organizations.\n\nAnd that would change how we understand productivity.\n\nBut it would also force investors to evaluate cost structures, operational risks, and concentration of responsibilities differently.\n\nBecause an extremely efficient company can be attractive.\n\nBut a company that depends entirely on one person can also be vulnerable.\n\nEfficiency doesn't eliminate the need for resilience.\n\nWhat Should Justify a Million-Dollar Valuation?\n\nLet's return to the original question.\n\nIf building software is becoming cheaper, what makes a startup valuable?\n\nMy answer wouldn't be an impressive interface.\n\nIt wouldn't be an integration with the most advanced AI model.\n\nOr a large number of features.\n\nNot even rapid growth, if that growth cannot be sustained economically.\n\nI'd look for something deeper.\n\nA company that understands a problem better than its competitors.\n\nThat has customers willing to pay because they receive concrete results.\n\nThat can demonstrate retention.\n\nThat understands its margins.\n\nThat has a distribution strategy.\n\nThat builds trust.\n\nThat can adapt when technologies change.\n\nAnd that has a convincing reason to continue existing even when cheaper alternatives appear.\n\nThis doesn't mean every startup needs to develop proprietary technology.\n\nMany successful companies have created enormous value using third-party infrastructure and tools.\n\nThe key lies in what they build around those tools.\n\nTheir market knowledge.\n\nTheir processes.\n\nTheir brand.\n\nTheir commercial relationships.\n\nTheir execution.\n\nAnd their ability to solve difficult problems consistently.\n\nA startup can be worth a million dollars even if its initial development cost only a few thousand.\n\nBut there should be an economic justification for that valuation.\n\nNot simply an attractive story.\n\nMaybe We're Entering a New Stage of Technological Capitalism.\n\nThe first major transformation was bringing businesses onto the Internet.\n\nThe second was allowing companies to build software without developing all their own infrastructure.\n\nCloud computing and managed services reduced significant barriers.\n\nNow artificial intelligence is also reducing part of the work required to develop and operate products.\n\nEach stage has allowed more people to participate in the digital economy.\n\nBut each stage has also changed the rules of competition.\n\nWhen building an application was complicated, having a functional application could represent a significant advantage.\n\nWhen deploying software became easier, distribution became even more important.\n\nAnd as generating code becomes a widely available capability, differentiating through basic features could become increasingly difficult.\n\nThat doesn't mean software loses its value.\n\nIt means value could become more concentrated in outcomes, relationships, and capabilities that are difficult to reproduce.\n\nIt could also increase pricing pressure on certain products.\n\nAnd create opportunities for new companies capable of solving problems that were previously economically unviable.\n\nWe're not necessarily witnessing the end of startups.\n\nWe might be witnessing the beginning of a stage where building a company becomes more accessible, but maintaining a competitive advantage becomes a permanent challenge.\n\nWe Need to Stop Romanticizing Valuations.\n\nA million-dollar valuation isn't a failure.\n\nBut it isn't automatically proof of success either.\n\nIt's a number that needs context.\n\nA company valued at $1 million might have satisfied customers, strong profits, and excellent prospects.\n\nAnother might have a convincing pitch deck and practically no real business.\n\nWe shouldn't judge them exclusively by the number.\n\nWe should ask what's behind it.\n\nHow much revenue does it generate?\n\nHow much does it retain?\n\nHow much does it need to invest to grow?\n\nHow dependent is it on third parties?\n\nHow easily could its product be replaced?\n\nDo customers genuinely need it?\n\nCan it survive a market downturn?\n\nDoes it have an advantage that can last for years?\n\nAnd perhaps the most important question:\n\nWould we still be interested in this company if nobody told us how much it was worth?\n\nBecause a company should be interesting because of what it does, the problems it solves, and its economic capabilities.\n\nNot simply because of the valuation announced during its latest funding round.\n\nThe Next Great Founder Might Not Be the One Who Builds the Fastest.\n\nOver the past few years, we've celebrated speed.\n\nBuild fast.\n\nLaunch fast.\n\nGrow fast.\n\nRaise capital fast.\n\nSell fast.\n\nSpeed matters.\n\nBut speed cannot replace direction.\n\nYou can develop ten applications in a month and fail to build a single sustainable business.\n\nYou can also spend two years solving a complex problem and end up creating an extraordinary company.\n\nNeither outcome is guaranteed.\n\nThe difference lies in what we learn, validate, and build throughout the process.\n\nArtificial intelligence is giving us powerful tools to execute ideas.\n\nBut it doesn't automatically turn every idea into a commercial opportunity.\n\nIt doesn't create demand where none exists.\n\nIt doesn't guarantee customer retention.\n\nIt doesn't eliminate competition.\n\nAnd it doesn't turn every product into a valuable company.\n\nAI can help you write the code.\n\nIt can help you design an interface.\n\nIt can help you automate operations.\n\nBut you still need to understand why someone should pay for what you're building.\n\nAnd why they should continue paying tomorrow.\n\nA Reflection for the Next Generation of Founders.\n\nIf you're building a startup in this new era, keep taking advantage of artificial intelligence.\n\nExperiment.\n\nDevelop.\n\nLaunch.\n\nMake mistakes.\n\nLearn.\n\nBut don't confuse the ease of creating a product with the difficulty of building a company.\n\nDon't confuse followers with customers.\n\nDon't confuse registrations with active users.\n\nDon't confuse revenue with profit.\n\nDon't confuse investment with success.\n\nAnd above all, don't confuse a valuation with money you've actually earned.\n\nWe're living through an extraordinary moment for entrepreneurship.\n\nExperimenting with complex technological ideas has never been so accessible.\n\nThat should motivate us to build more ambitious products.\n\nTo solve problems that once seemed too expensive.\n\nTo develop solutions for industries that still need modernization.\n\nAnd to create companies capable of delivering real value.\n\nNot simply to produce more identical applications.\n\nBecause if artificial intelligence allows thousands of people to build the same software, the real challenge will no longer be proving that you can develop it.\n\nIt will be proving why someone should choose yours.\n\nAnd why they'll continue choosing it.\n\nThe million-dollar startup isn't necessarily losing its economic value. It's losing some of its power as an automatic symbol of innovation and success.\n\nMaybe that's a good thing.\n\nBecause it forces us to return to a fundamental question we should never have abandoned.\n\nWhat actually makes a company valuable?\n\nNot how much it cost to build.\n\nNot how many AI tools it uses.\n\nNot how many features it has.\n\nNot how much money it managed to raise.\n\nBut how much value it can create, capture, and sustain over time.\n\nIn the age of artificial intelligence, creating a startup may become ordinary. Building a great company will remain exceptional.\n\nAnd perhaps the real revolution isn't that we can all become founders.\n\nIt's that, for the first time, we'll have to demonstrate much more clearly what separates a product that anyone can build from a company that deserves to exist for decades.",
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    "text": "Something @mattpocockuk said has stuck with me for months.\n\nWhat if the next economic advantage isn't just compute, but the articulation layer: how effectively we communicate what we want AI to do? https://t.co/ISgKeVb6uG",
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    "text": "Founder video worth 34 minutes of your evening.\n\nGirish Redekar had five failed products. Then he bootstrapped a SaaS to thousands of customers and sold it.\n\nHis point: get married to the PROBLEM, not the idea.\n\nThanks to Founder's Story for this great interview. https://t.co/ZcUSZeW3ha",
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    "text": "Podium just crossed $150M in AI agent ARR in two and a half years. Its original software business took eight years to reach the same number.\n\nThe bit founders should study isn't the number. It's the decision behind it. Three years ago Podium already had well over $100M in revenue and tens of thousands of customers, and CEO Eric Rea chose to rebuild the company around AI agents that answer calls, respond to leads, book appointments and follow up.\n\nHis line: \"In the age of AI, you can either disrupt your own company or wait for somebody else to do it.\"\n\nSmall teams have it easier than Podium did. There's no decade of operational inertia to unwind. But plenty of bootstrapped founders are quietly protecting a workflow, a feature or a pricing model because they spent two years building it.\n\nThe test worth running every quarter: would you build this the same way if you started today. If the honest answer is no, that's your roadmap.\n\nPodium says 20,000+ of its agents are live and the company is profitable and free cash flow positive (Podium press release and Eric Rea on X, 22 Oct).",
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    "text": "\ud83c\udf10 When every person can own a blockchain of their own\n\nToday we want to share the question 9Chain is built around. Not a feature. Not a roadmap. The reason 9Chain exists.\n\nA question that is changing\n\nAI is advancing faster than any technology before it. Within a few years, an ordinary person may not just use an AI, but have a whole team of AI agents working for them: studying, writing code, running a business, managing money, doing research, shopping, looking after assets.\n\nWhen that happens, the question will no longer be \u201cWhat can AI do?\u201d It will be:\n\n\u25ab\ufe0f On whose behalf is this AI acting?\n\u25ab\ufe0f Who authorized that action?\n\u25ab\ufe0f Whose data is this? Whose assets are these?\n\u25ab\ufe0f And who holds the final say?\n\nOne person, one chain\n\nImagine a world where every person can create a blockchain of their own. Not an account on someone else\u2019s chain. A real chain that belongs to them.\n\nThat chain is a decentralized ledger with your name on it. It does not store your whole life. It records only what truly matters: your identity, what you own, who may access what, the agreements you have signed, the powers you grant to AI, and proof of what AI has done in your name.\n\nHumans hold the keys. AI executes. The blockchain verifies and records.\n\nThe more powerful AI gets, the more human control matters\n\nOne AI agent may coordinate with hundreds of others to finish what you asked. That is power. But that power should not be unlimited.\n\nA personal chain can become a kind of Digital Constitution for each person, where you set the rules: which AIs may represent you, which data they may touch, how much they may spend, when they must stop and ask you, and which powers you can revoke instantly.\n\nAI brings intelligence. Blockchain brings rules and proof. Humans keep the final decision.\n\nFrom one chain to billions\n\nOne person \u2192 one personal chain\nOne chain \u2192 many AI agents\nBillions of people \u2192 billions of chains\nBillions of chains \u2192 one connected global network\n\nThat is the future 9Chain wants to explore: a multi-chain network for everyone, where people, chains, applications and AI agents can talk to each other. My AI may work with your AI. A company\u2019s AI may sign agreements with the AIs of thousands of customers. Machines trade with machines. Chains speak to chains.\n\nBut behind all of it, one question must still have an answer: who is the real principal? For 9Chain, the answer is simple: the human.\n\nTurning the question around\n\nThe first generation of blockchains asked: \u201cHow do we get billions of people onto one blockchain?\u201d\n9Chain asks the opposite: \u201cWhat happens if billions of people can own a blockchain of their own?\u201d\n\nBlockchain stops being merely a place to trade cryptocurrency. It becomes part of each person\u2019s digital sovereignty.\n\nWhat we believe\n\nWe do not know how powerful AI will be in 5, 10 or 20 years. But one principle will only grow more true:\n\nThe more powerful AI becomes, the more people need a foundation to establish what they own, what they permit, and what they decide.\n\nEvery person can own a blockchain.\nEvery blockchain can connect to many AIs.\nAnd billions of blockchains can connect into one global network.\n\nNot only for large institutions. Not only for developers. Not only for people who understand crypto. For everyone.\n\nOne Human. One Blockchain. Many AI Agents.\nBillions of Chains. One Connected World.\n9Chain: A Multi-Chain Network, for Everyone.\n\nAI can work for everyone. Blockchain can belong to everyone. And the future can be built by everyone.\n\n\ud83d\udd17 Network: https://t.co/3NA6DDJKV3\n\ud83d\udd17 Community: https://t.co/Rbxrfqamzv\n\n_This post describes a long-term vision of the 9Chain network. It is not a commitment about products, timelines, or any token._",
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