Before a customer hears your story, they read your name. Make it unforgettable. https://xitter.cf/t.co/E5wDqvZNZG

Worldwide
Joined January 2026
WideNames retweeted
We just raised $2M to build intelligence layer for construction. My last startup failed. We built a product and got users, but we couldn’t fundraise and couldn’t close sales. For months afterwards, I felt like a failure. When I decided to try again, I started with what we’d gotten wrong: sales. As a technical founder, I knew how to build, not how to sell. So I talked to 30+ potential co-founders until I met Lylia Djait-Paulien, who spent years at IBM leading complex enterprise deals. Then we went looking for a problem expensive enough that a business would pay to solve it. Neither of us had ever worked in construction. Cold calls turned into meetings, meetings turned into pilots, and pilots turned into annual contracts. It took 18 months and a pivot to get here. Today, Lylia and I are announcing a US$2M pre-seed round for Tyce, backed by BDC Thrive Fund and MaRS Investment Accelerator Fund. Construction is a $2T+ industry in North America, yet AI has barely touched how it works. We’re changing that. Tyce is building the intelligence layer for the built world, giving teams grounded answers from their own project data in seconds, so they can catch multi-million-dollar mistakes before construction starts. We’re hiring founding engineers in Toronto (full-stack and AI agents). If you want to build AI that will shape the physical world, DM me or tag someone below 👇
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I analyzed 8 open source GitHub repos you can turn into a paying service (zero code required). Here's a breakdown of each one including a sample offer, pricing, and a link to the repo. Full video explains how I'd find clients (using @treg_ai) and exactly who to target for each offer. 1. ListMonk: win-back emails for dentists, HVAC, and med spas with 2,000+ past customers. $750 setup + $400/mo github.com/knadh/listmonk 2. Postiz: 12-16 posts/mo in the client's voice for businesses with a dead feed. $250 setup + $500/mo github.com/gitroomhq/postiz-… 3. WhisperX: weekly call scorecards (booking rate, missed upsells, rep coaching) for home service shops. $500 setup + $500/mo github.com/m-bain/whisperX 4. Pipecat: after-hours AI receptionist for plumbers, HVAC, locksmiths, towing. $1,500 setup + $400/mo github.com/pipecat-ai/pipeca… 5. Docling: invoices auto-coded into QuickBooks for contractors and bookkeepers. $1,500 setup + $300/mo github.com/docling-project/d… 6. ComfyUI: 7-image listing sets for Amazon and Shopify brands. $750 per set github.com/Comfy-Org/ComfyUI 7. Browser Use: daily permit portal tracker for builders, remodelers, pool and solar installers. $1,500 setup + $250/mo github.com/browser-use/brows… 8. Anthropic's finance repo: listing packs (teaser, marketing package, buyer list) for business brokers. $1,000 per pack github.com/anthropics/financ… I think the repo with the most potential is ListMonk. You could even position this offer as a rev share where you take a small cut of the leads you reactivate so the client has zero up front risk. I purposely made the pricing estimates for these offers super conservative, you could charge more for each of these for the right client (I've sold a version of #8 for $3,000). The main thing to remember for all of these: Your buyer DOES NOT CARE about AI or GitHub. They only care about the outcome.
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Domain investors: If you hand-register KeywordSI(.)com and SIKeyword(.)com is also unregistered, do you grab both?
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WideNames retweeted
366,477 new domains registered in the last 24 hours. Keywords climbing fastest today: • hotline +1250% • migu +860% • baidu +763% Research these and more, free → dotweekly.com/keywords?d=202…
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My whole GTM engine runs on only these 13 tools. 1/ @ExaAILabs: a search engine built for AI that finds companies by meaning, like "AI startups in India that raised a Series A this year" or "companies like PostHog." Why not Firecrawl? Coz crawlers are great once you know the URL, but GTM research starts before you have one. 2/ @apify: a web-scraping platform with 1000s of ready-made scrapers (LinkedIn, Google Maps, job boards, event pages, directories). If the data is public on the web, Apify turns it into a clean spreadsheet I can work with. 3/ RB2B: identifies the people visiting your website, down to their LinkedIn profiles, and sends them to Slack or the CRM. Anonymous traffic becomes a warm-lead list. But it only works for US visitors. 4/ @apolloio: a B2B contact database and enrichment tool. I give it a company or a list, and it finds the right decision-makers with verified emails, titles and company details (headcount, funding, tech stack). 5/ @Porkbun: a cheap, simple domain registrar. Cold email from your main domain risks your sender reputation, so I buy secondary domains here and keep the main brand domain safe. 6/ @InstantlyAI: a cold-email platform. It connects all those sending inboxes, warms them up automatically, rotates sends between them, and runs sequences with follow-ups, so outreach scales without landing in spam. 7/ @SlackHQ: where my signals land. Website visitors from RB2B, positive replies from Instantly, alerts from scripts: everything gets piped into channels, so I act on it in real time instead of digging through dashboards. 8/ @meetgranola: an AI notepad for meetings. It transcribes calls without a bot joining, then turns my rough notes into clean summaries and action items. 9/ @HubSpot: the CRM and the single source of truth. Contacts, deals, emails and meeting notes all end up here, so the pipeline stays clean and nothing falls through the cracks. 10/ @posthog: product analytics plus session replay, feature flags and A/B tests. It shows what happens after the click: which channels bring users who actually activate, where people drop off in the funnel, and what they do in the product. 11/ @WisprFlow: voice dictation that works in any app. 12/ Codex: I run agents that works across a whole codebase. I give it a goal like "scrape every Series A AI startup's careers page, dedupe against my CRM, enrich the decision-makers through Apollo's API, and push new leads to HubSpot." 13/ @github: where everything Codex builds is stored and versioned. Comment down below if I'm missing out on any other tool in my stack? 👇
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WideNames retweeted
Send 1000 emails a day and see what happens: > Buy 11 domains > 33 mailboxes > 30 emails / day, 12 warmup (with 100% reply rate) should be done in 30 min. Cold email infra is sorted ages ago. Take the advantage.
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WideNames retweeted
NameBio
@NameBioOct 18
Yesterday saw $660k in domain name sales, including: $50,500 Vyra․com $50,000 OpenRouter․si $26,016 QDA․com $16,000 OpenMoney․xyz $12,505 Guard․co $7,450 N222․com $5,788 PowerTower․com $5,250 Redeem․si $5,250 Mobilize․si $5,150 FlashMob․com $4,999 Rave․si $4,999 Devoted․co․uk $4,998 Gradient․now $4,000 AdsTracker․com $3,988 Lucky555․com $3,516 NextAlpha․com $3,000 Hubs․si $3,000 GenEdge․com $3,000 LuxuryBet․com $2,199 TinyThrive․com 📊 Top 100 Sales: namebio.com/daily Repeat sales + charts in reply 👇
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WideNames retweeted
Facebook = fake news Instagram = fake life WhatsApp =beggars YouTube = ads TikTok = under age kids Telegram = scammers Snapchat = prostitution Twitter = legit and fast news
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Gab AI - gab(.)ai - appears to have acquired gab(.)si domain name for $3,988 and redirected it to gab(.)ai. Another AI company securing its exact-match .si domain.
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Best 15 accounts to follow in AI: @karpathy = LLMs king @steipete = built openclaw @gregisenberg = startup ideas king @rileybrown = vibecode king @jackfriks = solo apps king @levelsio = startups king @marclou = startups king @EXM7777 = AI ops + systems king @eptwts = AI money twitter king @ai_explorer25 = AI queen @godofprompt =prompt king @vasuman = AI agents king @AmirMushich = AI ads king @0xROAS = AI UGCs king @egeberkina = AI images king Follow them all and learn.
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1 hours a day spent marketing my app (making + posting 6 videos) 30,000 downloads with this routine last month, 100% free. you too can grow any b2c app for absolutely free, no paid ads. yes YOU CAN. YOU READING THIS. HERE IS HOW TO GET 1000S OF DOWNLOADS THIS MONTH TO YOUR APP FOR FREE: - if you are struggling to get downloads to your app then read this NOW, if you bookmark it, you aren't gunna take action on it... okay lets go. Open new account (instgram or tiktok first, or BOTH) scroll on it for 2 days, 15 min/day in your target audience. Save any videos you see that you could remake to promote your app (yes you'll need to think creatively for this) On day 3, make some content! Based on 1 of the saved videos you have. Make sure the comment, caption or end of video CTA is related/relevant to your app. If you just want views but no downloads, whats the use of this? Start with 1 post/ day and after 30 days of this if you didnt hit a reel with 500k views then feel free to DM me if you need help. Try to see what other apps are doing (can even look at mine) , and keep trying new formats, this is all about testing, but know that it IS POSSIBLE. - Once you find a winning format, double down on it. Each apps "winning format" is unique and this may take more than a month to find a true winner. Took me 300+ videos for my app. Now i post 3 a day on one account and 2 a day on another. Don't rush into posting a million videos. Posting ONE a day that you have put reel creative thought into is much better than spraying out 2,3,4,5,6+ a day. Stick to 1 a day per warmed account (account that is new and you scrolled on without posting for 2 days in your target audience) Aim for short videos as algo LOVESSS watch time and comments. These are your two goals. MAKE content that drives comments and watch time What type of content drives these the best? GOOD CONTENT! not slop. You can go viral if you let yourself try hard enough and keep going. I know you can. and it will be a nice boost to your app downloads and revenue. -- okay now stop bookmarking this and just go do it, open a new account on tiktok/ instagram and warm it up. I prefer instagram as main, then reupload to YT, TT and all others at the same time via @postbridge_ finally yes, the screenshot you see below is from my own tool post bridge. this is how ive been able to post AND MAKE 6 videos a day now after finding a winning format for my app that drives downloads. I upload and schedule all my apps content using this and it takes 10x less time! You can do the same for $9/ month (10x cheaper than the cheapest service out there for this same thing) - HOW TO WARMUP ACOUNT RECAP: Make new account, scroll on it for 15 mins /day for 2-3 days. Scroll, follow, comment and like posts that YOUR APP or product is relevant to only. This helps the algorithm know where to push your content to first. This is CRITICAL for tiktok especially as its hard to change later. You should never buy Old accounts, they suck, and are very hard to warm up or change the existing set audience. I use same email for all my tiktok accounts, most little things dont matter like this. If you dont get views following this then its most likely your content is not that great. Keep trying, and don't be afraid to stop posting for 2-3 days if you cant break 500 view mark on TT or IG. OKAY NOW GO GO GO TRY IT!
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WideNames retweeted
NameBio
@NameBioOct 16
Yesterday saw $3.4 Million in domain name sales, including: $2,000,000 TradingCards․com $700,000 Nor․com $28,700 Rebellion․si $7,500 UAP․si $4,550 Goldix․com $4,300 Indy․si $4,300 Slalom․ai $4,200 RawFood․org $4,199 Compatix․com $4,000 Chips․si $3,999 AgenticAttorney․com $3,988 PetMetro․com $3,595 Longiv․com $3,501 UpperSeat․com $3,499 AskTango․com $3,449 WildKeep․com $3,407 GreenPress․com $3,280 EverydayAgents․com $3,188 GetCapri․com $3,000 Compliant․si 📊 Top 100 Sales: namebio.com/daily Repeat sales + charts in reply 👇
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WideNames retweeted
spacex is becoming the samsung of america. rockets, satellites, internet, phones, AI, probably dishwashers by 2030
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WideNames retweeted
Crazy launch! Copycats! Massive round! On the one-month anniversary of the launch of Jev, we unpack it all with @CompleteSkeptic, CEO of @typesafeai: what Jev is, how it fixes what's broken in AI, and why the fast-followers are missing the hard part. 00:00 “95% Einstein, 5% Mr. Bean” 1:09 Why intelligence per dollar matters 3:25 Why TypeSafe built in stealth for two years 5:50 “We could have had AGI last year” 6:48 Why the product carries the marketing 9:33 What is Jev? Machine-native AI, built for software 10:53 System One vs. System Two 12:26 From simple decisions to composable AI 15:21 Automating email: giant prompts vs. smart if-statements 20:03 Probabilities, thresholds, and developer control 23:43 Why Jev is faster and cheaper than chat models 25:39 “Classification is AI-complete” 27:16 RLHF: how OpenAI trained models to please humans 31:28 Sycophancy, refusals, and the hidden costs of RLHF 34:22 RLVR: why benchmark gains don’t mean reliable automation 37:51 RLCD: optimizing for machine-native intelligence 39:54 Why TypeSafe builds its training data in-house 41:49 The Bitterest Lesson: define the task before scaling 44:39 Building Jev from open-weight models 45:56 Is Jev just a classifier? Why that’s a compliment 48:35 “Build prod, not God” 50:11 Embedding AI in software, beyond coding assistants 53:05 Jev’s copycats: matching the interface vs. the intelligence 55:33 Why benchmarks mislead the users they should help 58:37 Open weights vs. APIs: how TypeSafe weighs the tradeoff 1:00:04 Jevons paradox: a new market for machine intelligence 1:02:50 Why Diogo is skeptical of recursive self-improvement 1:04:47 Can practical automation avert an AI winter?
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WideNames retweeted
A new entry is about to be added to the @NameBio list of the top 100 domain name sales of all time!
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WideNames retweeted
Sold digitalhuman(.)si for $1,975 in a @Dynadot auction. 100 bids – what a finish! 🔥 My fifth .si sale! 📈 Thank you!
digitalhuman.si is up for auction on @Dynadot. ⏳ Currently at $82 (!) – ends in 3 days. A clean two-word .si with a strong AI narrative. 🦾
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Cheeky Muse* is back! Agrippa Zuckerberg @finkd and Euler Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. * made with Muse Wonder 🤝 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg
Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg
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WideNames retweeted
This is the worst time in history to have a "10-year plan"
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