FlowSentric
AI workspace with multi models, agents & privacy built in.
What it does
Flowsentric is your team's secure AI hub. Chat, build agents, automate workflows, and embed AI widgets across 12+ models. With org management, calendar AI, and PII masking built in. EU-hosted. GDPR-native. Engineered in Germany.
FlowSentric is one secure workspace for your whole AI stack. Chat across every model, build agents that use your real tools and data, and turn answers into live dashboards. Privacy, audit and EU data residency built in. Engineered in Germany.
From solo creators to enterprises: chat across every model, build agents that use your real tools and data, and automate the work you repeat. Privacy and EU compliance are built in. Engineered in Germany. Chat across 11+ models, ground answers in your own documents, and create images, video and dashboards in one place. Agents call your APIs, query your database and run code, then chain into scheduled, monitored workflows. Use our REST API to add a knowledge base, chat with agents or embed a branded assistant in your own product. Join the creators, teams and enterprises running secure multi-model AI in production. Start free in minutes, nofrom flowsentric.com
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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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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 · 16d ago · simedw.com