Humbe.AI
Intelligence, made personal.
What it does
Humbe.AI is an independent AI assistant built around a simple idea: AI should feel personal. It combines a clean conversational experience with flexible AI capabilities, creating a focused place to think, ask questions, explore ideas, and get things done. Humbe is built independently and is continuously evolving — with new capabilities, improvements, and ideas being added over time. This launch marks the beginning of Humbe.AI as a publicly available product.
Humbe.AI — a personal AI assistant built to be helpful, natural, and always evolving.
Humbe is an AI assistant created by Naksh Sunil Humbe — built to be helpful, natural, and always evolving. Humbe is an independent AI software product focused on creating a simple, capable, and genuinely enjoyable way to interact with artificial intelligence. A clean, focused interface designed to keep the experience centered around the conversation. Humbe is a growing product — improving as its technology, ideas, and capabilities develop. Humbe can work across multiple AI providers, helping keep its intelligence available and flexible. Humbe started as an idea and became a real AI product — built independently, one part at a time. Humbe is live and ready for you. Start a conversation and…from humbeai.netlify.app
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Techietribe AI20d ago · techietribe.ai · ▲55Everything your online presence needs, minus the clutter.


More ai this month
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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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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 · 27d 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