Ylabator

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Ylabator

Ylabator

@ylabator

Co-found with builders and partner with ecosystems to build verifiable, composable, and survivable DeAI ventures from zero to scale.

Bay Area Katılım Ağustos 2025
10 Takip Edilen6 Takipçiler
Ylabator retweetledi
Lunar
Lunar@LunarResearcher·
An ex-Anthropic engineer told me something at a party he probably shouldn't have. It was in SF. Someone's rooftop. I mentioned I run trading agents on Claude. He went quiet. "You're doing it wrong. Everyone is" I asked what he meant. "Claude is a runtime. Not a chatbox. You're supposed to pair it with repos" He pulled out his phone. Opened one GitHub link. github.com/anthropics/ant… 14,000 stars. Every workflow pattern they built internally before it went public. Agents. Tool use. Evals. Citations. The entire architecture. "Everyone types prompts. That's not how we use it. You connect Claude to a codebase. It reads. It understands. It builds on top of what's already there" I went home at 2am. Connected Claude Code to poly_data - 86 million Polymarket trades. Every wallet. Every entry. Claude didn't guess. It read the data and built detectors. First week: +$1,400. Second week: +$3,800. Right now: +$9,100. 4 agents. 74% win rate. His team runs this with a floor of PhDs and $800M AUM. My setup: Claude + a VPS. $25/month. The repos are free. Copytrade here: @lunar" target="_blank" rel="nofollow noopener">kreo.app/@lunar I asked him what separates his firm from everyone else. "Honestly? Keyboard shortcuts and repo structure. That's it. The model is the same for everyone" He texted me two days later. "Delete everything I told you" Too late.
Hanako@hanakoxbt

x.com/i/article/2042…

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Ylabator@ylabator·
Adds 17 design commands, automated a11y/responsive auditing, and anti-pattern prevention to Cursor/Claude workflows. Install via npx skills add pbakaus/impeccable. Injects typography standards, OKLCH color systems, and spatial layout principles into AI-generated UI code.
axiaisacat@axiaisacat

最近发现一个极其硬核的 "skills"!🤯 如果你平时也用 Cursor 或 Claude 撸前端,那你一定要试试 @pbakaus 开源的 Impeccable。 之前让 AI 写 UI,做出来的东西总有一种廉价的“外包感”,因为 AI 根本不懂设计规范。但这个项目,相当于给你的 AI 强行注入了“顶级设计师的灵魂” 🎨 只需要一行代码把它加进你的工作流: npx skills add pbakaus/impeccable 你的 AI 就会瞬间解锁: ✨ 17 个魔法设计指令:比如在输入框敲 /bolder,平庸的 UI 瞬间就有了视觉冲击力。 🕵️‍♂️ 冷酷的技术质检员:敲下 /audit,它会以大厂 QA 的标准,无情揪出你 UI 里的无障碍(a11y)死角和响应式漏洞。 🚫 自动规避设计反模式:系统级拉黑“灰底灰字”和“万年不变的嵌套卡片”。 🧠 海量专业设计知识:涵盖排版、OKLCH 色彩和高级空间布局。 今天在自己的一个项目里亲测了一下,效果惊艳。不仅好看,代码还贼健壮。做全栈和独立开发的朋友,强烈建议加上这个 skill!👇

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Ylabator retweetledi
Alex
Alex@de1lymoon·
MiroFish: 1,000,000 AI agents are debating your future How it works: - You upload a news item, report, or event - The system builds a graph of relationships between entities - It launches thousands of agents with different beliefs - The agents debate, influence each other’s opinions, and form coalitions - A map of possible scenarios emerges from the chaos The only formula that matters after that is: EV = p · W − (1 − p) · L Where p is the frequency of the scenario in the simulation 1,000,000 runs. It happened 3200 times. p ≈ 0.32
Alex@de1lymoon

Stop Guessing the Market. Start Running Simulations Most models try to predict the future. MiroFish does it differently: it simulates it p ≈ 320 / 1000 → EV = pW − (1 − p)L Instead of giving you one forecast, MiroFish builds a digital world from news, policy drafts, earnings reports, and market signals then fills it with thousands of AI agents and lets them react > They argue > They set up camps > They amplify narratives > They change their beliefs under pressure And after hundreds or thousands of runs, you don’t get a prophecy you get scenario frequencies. > If one outcome happens 320 times out of 1000, then p ≈ 0.32 From there, it becomes a decision problem: - calculate Expected Value - compare your probability to the market’s - use Kelly to size the bet correct

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Ylabator@ylabator·
Custom models retrain automatically as new operational data flows through the system. Perpetual learning loop optimizes model performance for domain-specific workflows and business logic.
Y Combinator@ycombinator

Carrot Labs (@carrotlabs__ai) builds custom models tuned to your tasks that never stop improving. Their platform captures your agent activity, tunes a custom model, and continuously retrains as more flows in. The smartest model for your business is the one trained on it. Congrats on the launch, @ChrisAcker10 and @yuta__baba! ycombinator.com/launches/PdG-c…

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Ylabator@ylabator·
3-minute setup that rewrites configuration files, identifies inefficiencies with targeted fixes, rebuilds tools based on usage patterns, and auto-generates domain-specific agents. Automated analysis of developer preferences to eliminate manual workflow tuning.
Shann³@shannholmberg

ran it. took 3 minutes and now my Claude workflow is 10x cleaner. what it built: > rewrote my claude. md with my preferences > flagged 6 places where I waste time and wrote fixes for each > rebuilt my research scraper based on my usage patterns > auto-generated 3 agents: UI review, creator analytics, deployment fastest setup optimization I've ever done.

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Ylabator@ylabator·
Shipper 2.0 enables autonomous app development with Claude Opus: handles code generation, Stripe integration, deployment pipeline, and email automation. Continuous feature iteration post-launch. Minutes to production at $0.12/app starting cost.
Daniel Ch@chddaniel

Big news, @claudeai just got a huge upgrade today and I'm very happy to be introducing it in shipper. From today on, Opus 4.6 can build and run a business for you 100% autonomously. We just launched Shipper 2.0, a tool that lets Claude: ✅ Build web/mobile apps and Chrome extensions ✅ Design, code, connect Stripe, launch ✅ Automate email marketing for you ✅ Continue to build out new features Claude Code Opus 4.6 can now do all of that from a 7-word prompt, for as low as $0.12/app... And it takes minutes! Just go to Shipper, then ask Claude to "build a talent hiring platform" or "build a complete saas that charges $29/mo"! To celebrate the launch, we're giving away free credits randomly to people who repost and comment "SHIPPER' :)

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