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Introducing Markdowner v2 ⚡ A faster content extractor - website to clean markdown. Made fully on @honojs and @cloudflare durable objects Auth by better-auth (special thanks to @imbereket) 👉 https://t.co/UgICzyWAnW 👈 fully free plan +... See more

Dhravya Shah

x.com

Repomix. com is an open-source tool that lets you drop in a GitHub repo, and it packs the codebase into a single blob optimized for AI Models. It also shows the token count, you can paste it straight into Grok4 / Grok4 Heavy for analysis or code mods. https://t.co/k9QZ6VjfV9

Tetsuo

x.com

27MB video file down to 1.5MB Impressive 👏 https://t.co/SAB5V5wAEf

Tony Dinh 🎯

x.com

llms.txt Generator is now powered by @Google Gemini ⚡️ It allows you to concatenate any website into a single text file that can be fed into any LLM. We crawl with @firecrawl_dev and extract with Gemini 1.5 Flash which is faster & cheaper than gpt-4o-mini. Check... See more

Eric Ciarla (hiring)x.com

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URL to Markdown, instantly. https://t.co/0zooFOXssB https://t.co/ox4zQNsVG1

Guillermo Rauch

x.com

Insane. Nate Herkelman built a faceless Shorts machine for $0.75/video using AI tools in @n8n_io! 🤯 End-to-end automation that: ↳ generates close-ups + scenes ↳ selects best images ↳ auto-renders video ↳ posts to TikTok, IG,... See more

Charly Wargnier x.com

Here's the full automation in the gif, paste in any tech review video and connect your Ghost account (or delete the ghost node to try without) https://t.co/zVI9HaShbj

Max Brodeur-Urbas x.com

Thumbnail of www-x-com-paoloanzn-status-1929607105851384047-9f5343ee0fa44b85

I built an AI Creative Director that generates $10K+ marketing content in minutes while I sleep this is the closest thing to printing money with AI I've ever seen this automated system literally thinks like a seasoned creative director: - analyzes your brand... See more

4nzn

x.com

I built a tool to cut edge AI docker images by 75%. The demo here trims a Flask inference server running @moondream's VLM (vision model). we trim a VLM inference server from ~400MB to ~100MB (75% reduction *excluding model weights*) while preserving performance. This also works for containerized data jobs, ML tooling,... See more

omkaar in SF x.com