Oratova
Build your authority, then prove AI engines know who you are
What it does
A brand system for fractional executives that builds your Brand Core and publishes in your voice, on a one-tap approval. New: it audits whether AI engines can find you, asks four of them what they say about your brand, and re-checks after the fixes.
Oratova turns a fractional executive's expertise into a steady pipeline. It builds your Brand Core and publishes in your voice, on your approval. A brand system, not another blank LinkedIn box. From $99 a month.
You are great at the work and quiet in the market. Oratova builds your Brand Core, your niche, your authority, your proprietary method, and your lead system, then drafts and publishes in your voice, on your approval. A brand system that turns your expertise into a steady pipeline. Most AI tools generate posts. Oratova builds the strategy underneath them, then executes it in your voice across every channel. Your niche, brand authority, proprietary method, and lead-generation system. Real positioning strategy, learned from you and saved for good. Not a pile of posts. LinkedIn, email, and your newsletter. Oratova works your whole presence, not one platform, all in a voice that stays…from oratova.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.
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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 · 10d 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.
AI · 17d ago · simedw.com