返回首页
最新
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.