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I forked Chromium and went through the plumbing to embed a ReactJS/NextJS web app in its Side Panel like OpenAI's Atlas browser and Perplexity's Comet browser.<p>The Side Panel has access to the browser's DOM which you can pass as context to LLMs in your web app. Supports hot reloading for faster development.<p>Hopefully this is helpful for web devs who haven't, or don't want to, touch C++ and Chromium, but want to build a native AI experience into browsers.
I've worked as a quant trader for 3 years, and I still had no idea how to allocate my own savings. Sounds ridiculous, but market making at work is very different from figuring out "should I put my retirement money in VTI or gold."<p>So I built the tool I needed. fin2cents has a portfolio sandbox that runs Monte Carlo simulations using historical return/vol profile, updated daily.<p>Most tools show you "7% expected return" and call it a day. But I wanted to know: what's my realistic downside?<p>Monte Carlo shows the range of outcomes, not just the average — specifically the 25th–75th percentile, so risk is visible before you commit real money.
Hey HN! I built Topic2Manim to automate the creation of educational videos
like those from 3Blue1Brown.<p>The workflow is simple:<p>1. Give it any topic (e.g., "how ChatGPT works")<p>2. An LLM generates an educational script divided into scenes<p>3. LLM generates Manim code for each scene<p>4. FFmpeg concatenates everything into a final video<p>Currently working on TTS integration for narration!<p>Would love feedback on the approach and ideas for the TTS integration
YouTube takes free uploaded podcasts clips and charges us outrageous premium fees to view.<p>The obvious alternative is to use a podcast app but I like the 10-20min clips and recommendation engine on YouTube. So I built podtoc.com to serve LLM generated podcast clips youtube-feed style.<p>The Tech:<p>- LLM Pipeline: I built a pipeline to extract meaningful clips from long-form content, specifically designed to capture one of the core insights covered in the podcast.<p>- Recommendation Engine: Suggests clips based on previous listening to solve the discovery problem.<p>- The App: A React Native (Web/iOS) app featuring a "swipe to next" UI for seamless browsing.<p>If this sounds like a problem you’ve faced, I’d love to hear:<p>1. Which podcasts would you like to see added to the library?<p>2. Any feedback on the UI or bugs you encounter?<p>3. Any questions about the pipeline or suggestions for the recommendation logic? (would love to open source after some cleanup)<p>Check it out: <a href="https://podtoc.com/app" rel="nofollow">https://podtoc.com/app</a>