AlphaMoat
Value alpha, found in data of the AI ecosystem
What it does
AlphaMoat — Find the signal in AI. We collect and analyze data across AI websites, apps, models, skills, browser extensions — turning fragmented market information into structured rankings, traffic trends, benchmarks, and actionable insights. With AlphaMoat, you can: • Discover leading and fast-growing AI products • Track traffic, growth, and market trends • Explore AI product rankings and categories • Compare AI models, benchmarks, and API pricing
Real-traffic-driven global AI product rankings, LLM market and industry insights — covering web apps, mobile apps, browser extensions, frontier models and Claude skills. Updated monthly.
74 new entrants in twelve months, traffic up 69% against a falling market — and leader OpenRouter gained share rather than losing it, from 37.4% to 49.3%. The breakdown: 21.6% of the growth was carried in by new supply, incumbent demand grew only 32.7%, and China supplies 19.3% of visits — 4.8x its share of the wider market. Full Top 50 included. Across ~70 booths in the H4 industry-application street, the busiest theme was niche-vertical AI agents — beyond content creation and audio/video generation, there were plenty of products for smart office, research, user-interview and legal work. OpenAI ships the GPT-5.6 family (Sol / Terra / Luna) exactly one month after Claude Fable 5 / Mythos 5.…from alphamoat.ai
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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.
AI · 16d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
- SA
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.
AI · 16d ago · simedw.com