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๐€๐ง๐๐ฒ ๐…๐š๐ข๐ซ๐ฐ๐ž๐š๐ญ๐ก๐ž๐ซ banner
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๐€๐ง๐๐ฒ ๐…๐š๐ข๐ซ๐ฐ๐ž๐š๐ญ๐ก๐ž๐ซ

@andyfairweather

High functioning idiot. Ai, Empowering tech and Crypto. Default position is sarcasm. UK based design, print and web development business owner.

Leatherhead Katฤฑlฤฑm Ekim 2009
2.1K Takip Edilen705 Takipรงiler
Paul Sims
Paul Sims@SimslearnAiยท
An Anthropic engineer literally stopped me at a coffee shop because of what was on my screen. I was sitting at Sightglass running my Polymarket bot. He looked over once. Then again. Then said: โ€œThatโ€™s not a normal trading setup.โ€ I told him the whole thing runs on: โ€ข Claude Code โ€ข 4 open-source repos โ€ข $25/month Thatโ€™s it. He pulled up a chair instantly. โ€œI work on the agent team at Anthropic,โ€ he said. โ€œWe stress test Claude for workflows exactly like this.โ€ Then I showed him what the bot was actually doing. 86 MILLION trades analyzed. Every wallet. Every entry. Every exit. Every profitable pattern. One prompt: โ€œFind wallets with 100+ trades and 70%+ win rate. Rank by profit. Export the best ones.โ€ Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 wallets made more money than the other 13,000 combined. He stared at the results and said: โ€œThatโ€™s not data analysis. Thatโ€™s a weapon.โ€ And we were just getting started. Second repo: A Rust CLI scraping 500 live Polymarket markets in minutes. Claude filtered everything automatically: โ€ข spread gaps โ€ข liquidity depth โ€ข timing windows โ€ข whale behavior 500 markets became 35. Before I even looked at them. 93% rejected automatically. Then a trade closed live on my screen. +$84. He didnโ€™t even blink. โ€œHow does it decide when to enter?โ€ 3 independent AI agents: โ€ข arbitrage โ€ข convergence โ€ข whale-copying No shared memory. 2 agents agree = full position 1 agrees = half size Disagreement = no trade That consensus system alone cut 40% of losing trades. Then he asked the real question: โ€œWhat about exits?โ€ Thatโ€™s where it gets stupid. The profitable whales rarely hold to settlement. 91% exit early. So my bot exits BEFORE they do. It takes profit at: โ€ข 85% expected move or โ€ข unusual volume spikes Basically: It copies smart moneyโ€ฆ then front-runs their exits. He just sat there staring at the terminal. โ€œHow much did you start with?โ€ $200. 27 days ago. Current balance: $14,300. 271 trades. 74% win rate. Sharpe ratio: 2.47. Fully automated. I havenโ€™t touched it in weeks. Before leaving he said: โ€œThis is almost identical to the internal scenarios our red team simulates.โ€ Next morning I got an email from him. โ€œWould you be open to speaking with our policy team?โ€ I replied: โ€œThe article IS the meeting.โ€ The craziest part? This stack costs less than Netflix. AI is no longer replacing workers. Itโ€™s replacing entire hedge funds. Comment โ€œClaudeโ€ if you want the framework.
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Greg Brockman
Greg Brockman@gdbยท
codex app becoming incredible
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Andy T
Andy T@Andy_AJTยท
Iโ€™m now the OpenAI Codex Ambassador for London ๐Ÿ‡ฌ๐Ÿ‡ง I am loving engineering with Codex & GPT-5.5 If youโ€™re already using Codex or coding agents, building AI agents, or working on ambitious AI products in London Iโ€™d love to connect & see you at the next event!
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borja
borja@borjafatยท
Claude or Codex can find SEO Backlinks Tired of manual searching? Solved Tired of begging over email? Solved This 2-prompt-chain can run automatically to spot opportunities, draft and send outreach messages via email or Linkedin Run it as a scheduled task and never worry about it again Comment "PROMPT" and I'll sent it
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๐€๐ง๐๐ฒ ๐…๐š๐ข๐ซ๐ฐ๐ž๐š๐ญ๐ก๐ž๐ซ retweetledi
HeyGen
HeyGen@HeyGenยท
We solved character consistency. Forever Avatar V captures you in 15 seconds and holds your identity across every video. Change the look, outfit, and setting to create unlimited versions of you. RT + comment "AvatarV" below and I'll DM 100 credits to test it out (must follow)
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antoine
antoine@antoinpreaubertยท
@stitchbygoogle All those years of refusing to learn Figma are finally paying off
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Stitch by Google
Stitch by Google@stitchbygoogleยท
Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: ๐ŸŽจ AI-Native Canvas ๐Ÿง  Smarter Design Agent ๐ŸŽ™๏ธ Voice โšก๏ธ Instant Prototypes ๐Ÿ“ Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in ๐Ÿงต
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Wilco de Kreij
Wilco de Kreij@Emarkyยท
This video was edited entirely by Claude Code. I just gave it the files. If 50 people comment, I'll share the exact setup.
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DECO
DECO@decobandukยท
What If @coldplay released 'Yellow' in the '80s?! ๐Ÿ‘€ Mashed with Erasure ๐Ÿ’› Who wants a full version!?
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David Roberts
David Roberts@recap_davidยท
I built an AI marketing agent to run my $100K media company. After 4 months of prompting, tooling, and integrations, I built this agent that effectively replaced my content team. Hereโ€™s how it works under the hood: โ†’ Scrapes Reddit, Hacker News, X, and Google News โ†’ Publishes a Morning Brewโ€“style daily AI newsletter (10k daily readers) โ†’ Repurposes that content into: โ€ƒโ€ข viral Twitter threads (like this one) โ€ƒโ€ข short-form videos for TikTok & Instagram โ€ƒโ€ข Reddit posts โ€ƒโ€ข high-engagement LinkedIn updates โ†’ Produces content thatโ€™s driven millions of impressions โ†’ Generates custom, brand-aligned images for every unique asset All automated. The entire system runs through Jarvis-like voice commands, powered by ElevenLabs + n8n (see video below, I literally trained it on Jarvis from Iron Man). No manual content creation. No team to manage. Runs while I sleep. I'm no longer focusing on this business, so I'm giving all this away for free. If you want the complete system, prompting, n8n templates, & setup walkthrough: Comment โ€œAGENTโ€ Like & Retweet Follow me (so I can DM you) Iโ€™ll send everything over.
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Romร n
Romร n@romanbuildsaasยท
I scaled my SaaS to $500k ARR in 8 months. Then sold it. It wasn't magic. It was 8 hours of deep work, every single day. Here is the exact routine to hit $10k MRR in 90 days (that most founders are too lazy to do): 1. LinkedIn Connect (20 mins) Send 20-30 manual requests to your ideal customers. Just connect. 2. LinkedIn DMs (1 hour) Send 20-30 messages. Do NOT pitch. Ask for feedback: "Saw you do X, do you face Y problem? We're building Z." 3. Cold Email (2 hours) Send 20 (manual) to 100+ (auto) emails. The money is in the follow-up. Most replies come after email #3. 4. Reddit Grinding (1 hour) Comment on 10 threads in your niche. Find "Alternative to [Competitor]" posts. Give value first, link second. 5. Content Loop (30 mins) Post 1x daily on LinkedIn. Stats, guides, or lead magnets. Your mind will try to stop you. "It's sunny outside," "Nobody is replying." That is just your brain avoiding conflict. Day 1: Crickets. Day 30: 10 Customers. Day 90: $10k MRR. Stop looking for shortcuts. Do the boring work. Bonus : Use gojiberry.ai to automate all the linkedIn part.
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Logan Gott
Logan Gott@LoganTGottยท
Adam had 2 posts and under 1k impressions on LinkedIn. Now he's landing dream clients on repeat. (Hereโ€™s how:) Most agencies struggle on LinkedIn because they're invisible. Their competitors (often with worse offers) are dominating and closing deals by default. I just documented our entire 90-day system that turned Adam from "under the radar" into a recognized SEO authority for B2B SaaS This case study breaks down: โ†’ How we rebuilt his profile into an authority page โ†’ The ICP-first content strategy we used โ†’ Our infographic system that made complex posts digestible โ†’ Targeted engagement that got him seen by the right people โ†’ How we turned LinkedIn into a sales asset, not just impressions The results in 90 days: - 200,000+ impressions (from under 1,000) - 3,000+ followers in his exact ICP - Consistent inbound leads and clients - Shortened sales cycles (prospects pre-sold by content) This is the exact playbook we used. Want the full breakdown? Follow me and comment "YES" Iโ€™ll send it when I get a chance!
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Will Breton
Will Breton@bretonwillยท
After 5M+ cold emails, one thing is clear: Most outbound fails long before messaging or deliverability ever matter. I put together a full framework showing how we actually run outbound in 2026 - from TAM definition and research to lists, messaging, infrastructure, and booked calls. This playbook breaks down: > How to build a real TAM thesis (not guessing segments) > How to source and qualify lists properly with AI > How to structure offers and messaging that actually get replies > How to set up outbound infra that doesnโ€™t fall apart at scale > How to automate the entire motion without killing quality Most teams fail at outbound because they skip structure. They blast generic lists with generic copy and hope volume saves them. This fixes that. If you want the full breakdown, reply 'TAM' and Iโ€™ll send it over.
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Mike Futia
Mike Futia@mikefutiaยท
This Instagram Reels AI agent is a f*cking wild ๐Ÿคฏ It scrapes trending Reels in any niche, analyzes them with AI, and pulls out every creative insight automatically. All inside n8n + Airtable. Perfect for DTC brands & agencies who want to know what's working on Instagram before they create a single piece of content. Here's the problem: Your creative strategists are spending *hours* scrolling Instagram for "research." Screenshotting. Taking notes. Trying to remember what hooks hit. ALL BY HAND. And by the time you finally make something, the trend has moved on. This n8n automation fixes that: โ†’ Enter any keyword (e.g., "skincare", "fitness", "productivity") โ†’ AI scrapes trending Reels automatically โ†’ Logs every video to Airtable with views, likes, comments โ†’ Hit "Analyze Video" in Airtable โ†’ Gemini watches the video and extracts: Hook, Proof Point, Theme โ†’ Hit "Analyze Comments" for instant audience insights No scrolling. No screenshots. No guessing. What lands in your Airtable: โ†’ Video URL, creator handle, engagement metrics โ†’ AI-extracted hooks (what stopped the scroll) โ†’ Proof points (what built trust) โ†’ Creative themes (the story structure) โ†’ Comment insights (what the audience actually wants) Built 100% in n8n. Want the full n8n template + Airtable base? > Comment "REELS" > Like this post And I'll send it over (must be following so I can DM)
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Dhruv
Dhruv@dhruvaminยท
reply for the hackathon signup link
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๐€๐ง๐๐ฒ ๐…๐š๐ข๐ซ๐ฐ๐ž๐š๐ญ๐ก๐ž๐ซ retweetledi
Dhruv
Dhruv@dhruvaminยท
weโ€™re giving away $100,000 to prove that Anything Max is the best AI agent for building apps our most exciting launch yetย ๐Ÿ‘‡
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Peyman Milanfar
Peyman Milanfar@docmilanfarยท
today I used a wire Iโ€™ve kept in my box of cables since 2011. please applaud
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Sam Bhagwat
Sam Bhagwat@calcsamยท
icymi we wrote a new agents book: patterns for building ai agents it has everything you need to take your agents from prototype to production, like agent design patterns, the basics of security, etc reply to this tweet with BOOK and we'll dm you so you can get a copy
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