
Undercurrent
See the institutional money behind every headline
What it does
Every market headline, placed next to what the institutional money actually did on that ticker. Dark pool share, max pain, call wall and put floor, put/call ratio and the day's options flow — numbers that normally sit behind a professional terminal. When the story and the money point opposite ways, we mark it. 595 US tickers. 2–3 editions a day. English, Korean, Japanese. Free, no account, no paywall. Information and education only — not investment advice.
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- CCCoinMarketBook – CoinMarketCap, but with a different metric2018 · coinmarketbook.cc · ▲46
- SAStreetEYE, all the top financial market news in one click2013 · streeteye.com · ▲24
Some people have called StreetEYE 'HN for investors', but it's a little different. You can go to Bloomberg, Reuters, WSJ, FT and hit a page with the most-read stories, but now everyone shares everything on social networks and blogs, so we can try to make one page with the most popular news across all sites and blogs - find the top people who share news, and combine algorithmic, professional, and crowdsourced curation to make the best front page across financial media. StreetEYE is more like a mashup of HN, Techmeme, Google News, Flipboard, Buzzfeed. For now, no comments or submissions to…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, August 2026
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Life & fun · 9d ago · louisabraham.github.io


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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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