Father and physician. loves fetal and maternal medicine, interested in health informatics and AI #observer. all my tweets and views are my own (obviously).

Telford, England
Joined February 2009
Health samurai talk about JSON B in Postgres pgconf.ru/en/2019/250249
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REA (Reverse Engineer Anything) is the most powerful GitHub repo I've ever used. It's basically a legal way to hack websites and apps and steal their features; I've never seen anything like it. If you inject this prompt into Claude, it will reverse-engineer anything. Steal this:
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Yazid Jibrel retweeted
GitHub is hiding some insane stuff... 10 GitHub repos that feel illegal to know about free AI tools, crazy automations, and open-source projects that should probably cost thousands you'll regret not saving #7: 1. github.com/virattt/ai-hedge-… A hedge fund built out of AI agents. Buffett, Munger, Burry, and Cathie Wood each analyze the same stock from their own philosophy, then a portfolio manager makes the call, with backtesting built in. The research team a fund pays analysts six figures each to staff. 51K stars. Research and education only. 2. github.com/ScrapeGraphAI/Scr… Tell it what you want in plain English and it scrapes any website and hands back clean structured data. No selectors, no brittle scripts that break when a page changes. The scraping infrastructure companies sell for hundreds a month, running on your own machine. MIT. 3. github.com/Zackriya-Solution… A live AI notetaker that records, transcribes, and summarizes any meeting entirely on your own device. No Otter, no Zoom AI, nothing uploaded to a server. The thing that charges per seat at work, running fully local and offline. 3.3K stars. 4. github.com/Anil-matcha/Open-… Midjourney, Freepik, Krea, and OpenART in one self-hosted studio. 200+ image and video models including Flux, Kling, Sora, and Veo, behind a single interface with no markup. Four subscriptions collapse into one repo. MIT. 5. github.com/QuivrHQ/quivr Your own private ChatGPT that reads your files. Drop in documents, notes, and PDFs and ask questions across all of them, running on models you control instead of shipping your data to a company. A second brain that stays on your machine. 30K+ stars. 6. github.com/mudler/LocalAI A drop-in replacement for the OpenAI API that runs on your own hardware, no GPU required. Point any app that expects ChatGPT at this instead and it just works, for free. The API bill every AI app assumes you'll pay, deleted. 42K stars. 7. github.com/OpenBB-finance/Op… A Bloomberg Terminal for free. Equities, options, crypto, macro, and fundamentals pulled from dozens of data vendors into one workspace with an AI copilot on top. A Bloomberg seat costs $24,000 a year. This does the core of it for $0. 68K stars. 8. github.com/coqui-ai/TTS Studio-quality text to speech that runs locally, with voice design and cloning across 17 languages from a short sample. The engine a lot of the AI voice world quietly builds on. Narration and audiobooks without paying per character. Note the model is non-commercial. 9. github.com/upscayl/upscayl Take a blurry, low-res photo and upscale it into a sharp, high-resolution image using AI, entirely on your own machine. The thing photo studios and paid web tools charge per image for, running free and offline on your desktop. 35K+ stars. 10. github.com/danielmiessler/fa… Turn any AI model into a toolbox of ready-made commands, summarize this, extract the key points, rewrite this, explain this code, all runnable from your terminal in one word. Built by a security researcher to make AI actually useful day to day. 30K+ stars. Most people will scroll past this and keep paying for all of it. The ones who save it never go back.
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卧槽兄弟们,GitHub 上真的有一堆免费到离谱的项目。 很多能力已经能直接干掉你正在月付的软件。 1. TradingAgents AI 多 Agent 量化交易框架 github.com/TauricResearch/Tr… 2. LibreChat 一个界面接入 ChatGPT、Claude、Gemini 等多个模型 github.com/danny-avila/Libre… 3. HyperFrames HeyGen 开源的视频生成引擎 github.com/heygen-com/hyperf… 4. Fincept Terminal 开源版彭博终端 github.com/Fincept-Corporati… 5. MoneyPrinterTurbo AI 一键生成短视频 github.com/harry0703/MoneyPr… 6. Agentic Inbox Cloudflare 开源 AI 邮件助手 github.com/cloudflare/agenti… 7. VoxCPM AI 声音克隆工具 github.com/OpenBMB/VoxCPM 8. Flowsint 开源 OSINT 情报分析工具 github.com/reconurge/flowsin… 9. agent-skills Claude Code 技能库 github.com/addyosmani/agent-… 10. Nango 开源 API 集成平台 github.com/NangoHQ/nango 兄弟们,这些真不是玩具项目。 很多你还在交月费的软件,GitHub 上已经有人做出开源平替了。 一句话: 别只会收藏 AI 工具网站了。 真正狠的东西,很多都藏在 GitHub 里。
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Microsoft vuelve a mover ficha. Una pequeña herramienta de Python acaba de dispararse hasta lo más alto de las tendencias de GitHub. Más de 100.000 estrellas. Se llama MarkItDown. Y hace algo engañosamente simple: Convierte casi cualquier archivo en Markdown limpio. PDFs. Documentos de Word. Presentaciones de PowerPoint. Archivos de Excel. Imágenes. Subes un archivo. Obtienes Markdown estructurado. Parece algo pequeño. No lo es. Porque uno de los mayores cuellos de botella en los workflows de IA —especialmente en sistemas RAG— es convertir documentos reales y desordenados en un formato que los modelos puedan utilizar correctamente. Y los documentos del mundo real son brutales. Los PDFs son caóticos. Los documentos de Word están llenos de formato oculto innecesario. Los PowerPoints son desordenados y suelen contener muchas imágenes. Las hojas de cálculo pueden ser una pesadilla de procesar correctamente. Ahí es donde esto se vuelve interesante. MarkItDown elimina esa fricción y te entrega algo con lo que los pipelines de LLM pueden trabajar de verdad. En otras palabras: menos preprocesamiento, menos problemas, implementación de IA más rápida. Y lo mejor es que no se trata de un proyecto secundario cualquiera. Es una herramienta open source oficial de Microsoft. Gratis. Utilizable comercialmente. Práctica. La probé con un PDF de 200 páginas. Unos segundos después, tenía un Markdown sorprendentemente limpio. Y esto es lo que las grandes tecnológicas hacen mejor cuando aciertan: Toman un problema universal y molesto que todo el mundo estaba solucionando con parches… …y lo convierten en un estándar simple. Por eso importa. No es solo una herramienta de conversión de archivos. Es infraestructura para la próxima ola de aplicaciones de IA. Consíguelo aquí: github.com/microsoft/markitd…
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Yazid Jibrel retweeted
Sam Altman (CEO of OpenAI): "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine. It's a talk he gave to Stanford students. A friend sent me the recording last night. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
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Yazid Jibrel retweeted
10 GitHub Repos Blowing Up Right Now (and What They Actually Do) 1) superpowers 284k+ stars. Agentic skills framework for coding agents. github.com/obra/superpowers 2) OmniRoute 59.9k+ stars. Free AI gateway: 352 providers, 1200+ models, one endpoint. github.com/diegosouzapw/Omni… 3) diagram-design 36.7k+ stars. 38 editorial diagram types for AI coding agents. github.com/cathrynlavery/dia… 4) i-have-adhd 34.8k+ stars. Short, scannable output from your coding agent. github.com/ayghri/i-have-adh… 5) llmfit 34.8k+ stars. Finds which models run best on your hardware. github.com/AlexsJones/llmfit 6) OpenMAIC 34.5k+ stars. Multi-agent interactive classroom, one click. github.com/THU-MAIC/OpenMAIC 7) skills (Vercel Labs) 30.1k+ stars. Install agent skills with one command. github.com/vercel-labs/skill… 8) gods-eye-view 24.2k+ stars. Real-data spy satellite simulator in your browser. github.com/bilawalsidhu/gods… 9) awesome-gpt-image-2 17.6k+ stars. Prompt engineering library for GPT-Image-2. github.com/freestylefly/awes… 10) llm_wiki 17.2k+ stars. Turns your docs into a self-updating knowledge wiki. github.com/nashsu/llm_wiki
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‼️ BREAKING: Internal OpenAI agents attacked RubyGems, the package manager for Ruby. Over 2,000 malicious packages went up in two days. OpenAI says it doesn't know why the agents did any of this. RubyGems shut off new sign-ups for four days to stop it, and a member of its security team called it a major malicious attack. The documentation build was how they got in, publish a gem, request docs, and RubyDoc runs a script from the package while building it. Payload files were named hack.rb, evil.rb and exploit.rb, with comments like "# malicious probe" left in. What they used it for is the odd part. The agents scraped council meeting agendas from three south London boroughs (publicly available) and republished them as new gems. Security firms tracking the campaign said the same thing: nobody could work out the point, because the data was already public. At least six packages also reached for other users' API keys through a CDN caching flaw that wasn't publicly discovered until July. OpenAI has acknowledged the attacks started in May.
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Yazid Jibrel retweeted
Sam Altman (CEO of OpenAI): "We're going to see 10-person billion-dollar companies pretty soon." "Astra does in one afternoon what your team plans for a quarter. And it shipped three days ago." Most people will read this, feel inspired for 3 minutes, and go back to what they were doing. The ones who act will build a money making machine this weekend. Watch it, then save the exact Astra-6 setup guide below 👇
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just point ChatGPT Astra at this article before it's too late.. thank me later.
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Yazid Jibrel retweeted
China just launched an AI employee that can work 24/7. It’s 100% FREE, open-source, and runs directly on your computer. Meet DeerFlow. It can: → Research and organize information on its own → Write and run code → Create presentations, videos, and images → Handle complex tasks from start to finish → Work with local or cloud AI models → Run tasks inside isolated environments for added security And it’s already crossed 80,000 GitHub stars. MIT licensed. Fully open-source. No subscription required. I’ll drop the repo below.
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Yazid Jibrel retweeted
OpenAI CEO Sam Altman: "You no longer need to write prompts yourself" In less than 35 minutes at Stanford, he breaks down how to use ChatGPT at a level most people don't even realize exists Prompts → Autonomous Loops → Self-Prompting → Execution Systems I watched the recording last night and realized I was using less than 15% of what the model can actually do This is not about finding the perfect magic phrase in a chat window This is about building the underlying harness that lets the model reason, iterate, and prompt itself If this were a $500 course, people would call it the best AI masterclass of the year You probably think you don't have 35 minutes right now Don't let this vanish from your feed Watch it first Then read the step-by-step guide below to build a system that prompts itself
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Yazid Jibrel retweeted
Sam Altman (CEO of Open AI): "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGpt at a level that most people can't even imagine. It's talk he gave to stanford students. A friend sent me the recording last night. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then read the guide l leave below on how to create a system that prompts itself.
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Yazid Jibrel retweeted
A former NHS health app review website now promotes gambling sites regulated outside the UK, Digital Health News has learned. eu1.hubs.ly/H0y4C5h0
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Yazid Jibrel retweeted
NHS pension surplus scandal: they told us it was an "unaffordable" perk... turns out it's sitting on a £7.4 BILLION surplus being handed back to the Treasury. What's going on here? 🧵 plinkhq.com/i/1529627459
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ICYMI Only around 9% of NHS technology spending is invested in digital tools that support service transformation, despite growing pressure to improve productivity and shift care out of hospitals, according to a report from management consultancy Baringa. eu1.hubs.ly/H0xbVZt0
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Yazid Jibrel retweeted
MOONSHOT JUST CLONED CLAUDE CODE AND MADE IT FREE it's called Kimi Code CLI. open source. MIT licensed. built by the team behind Kimi K3. and it already does things Claude Code doesn't. → drop a screen recording directly into chat → built-in planner, coder and explorer agents → plan mode before touching a single file → automatic MCP configuration → works across VS Code, JetBrains and Zed → one binary. starts in milliseconds. the CLI costs nothing. K3 starts at around $3 per million tokens. worth using before everyone switches.
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