TRUE AI
AI-powered market intelligence & DEX, built on Solana
What it does
TRUE AI combines a non-custodial DEX with real-time prices, professional charts, and AI-powered market analysis in one conversational interface. Swap tokens via Jupiter, trade perpetual futures, copy top traders, and bridge across chains — all directly from your own wallet. Upload charts or documents for instant analysis in 11 languages. Optional Autopilot agents trade on your behalf within risk limits you set. No custody, no KYC, built on Solana.
TRUE Finance is the AI-native finance platform to analyze markets, research assets, track narratives, understand risk, and act faster with intelligent financial agents.
Every analysis shows its work — the data it pulled, the sources it read, and the limits of what it knows. You get context to research with, never a recommendation to act on. I can discuss conceptual technical levels based on market knowledge and what I find from web/market data. Saw a bold call somewhere online? Paste the chart, the headline, or the claim. TRUE breaks down the reasoning, checks it against the data, and surfaces the risks it leaves out — so you can think it through yourself. Every concept and asset has a clear, plain-English explainer — what it is, how it works, and why it matters. NVDA $211.80 ↑ +4.1% · AMD $548.13 ↑ +2.6% — two ways to own the AI buildout: proven scale vs…from truefinance.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 · 17d ago · simedw.com
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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…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
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 · 17d ago · simedw.com