Ndovesha AI the AI workforce platform
Your AI Workforce, Centralized.
What it does
It is an AI workforce platform that empowers businesses to deploy specialized AI workers for real marketing and business tasks. From websites, software and branding to social content, videos, presentations, ads, and blogs, Ndovesha turns simple instructions into production-ready results. Built for startups, SMEs, agencies and enterprises, it replaces fragmented tools with an integrated AI workforce that automates end-to-end workflows, helping organizations move faster, cut costs, and scale
Ndovesha AI is an AI Workforce Platform that helps businesses build websites, business systems, ecommerce stores and content using AI coworkers. Every employee deserves a team.
Describe your project. Your AI coworkers will take it from there. Join us for a hands-on physical workshop and discover how AI coworkers can change the way your business gets work done. Build custom CRMs, booking tools, and dashboards your team runs on daily. Build company websites and landing pages that inform visitors and generate leads. Design logos, flyers, and social graphics for a polished brand look. The old way is expensive and slow. Ndovesha makes it faster and more affordable. Pay hundreds of thousands to millions for different business tasks. Real walkthroughs of AI coworkers building brands, apps, and more from a single prompt. Helping a coaching practice create a trusted online…from ndovesha.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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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…
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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