Mr Alpha
@nothalpha
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always working...
London
Joined October 2024
I’ve had a couple people asking what Noet actually is so here’s the short version: Noet is a quiet AI layer that sits on your desktop and works proactively, not reactively. It pulls context from the tools you already use and surfaces actions before you ask.
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Been playing with Ollama for local LLM stuff. Still figuring out the best model size vs speed tradeoff
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Now gemini 3.0 is out whats everyone using - ChatGPT - Claude - Gemini - Grok
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Been building a new feature for Noet: Smart screenshots 📸 - Press ⌘+Shift+S - AI, extracts context (apps, text, intent) - Auto-sorts into folders - Your screenshots become searchable knowledge to refer to later All done locally, no cloud API calls
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Current tech stack powering Noet: Frontend: • Electron (desktop) • Next.js 16 (marketing) • Tailwind CSS 4 • Motion for animations Backend: • Convex (backend) • SQLite + sqlite-vss (vector search) • Ollama (local LLM) • Better-SQLite3 with encryption All with pnpm⚡️
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Planning Mode - GPT-5.1 Codex Development - Gemini 3 Pro Can't be beaten
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As someone who was a developer a while before AI and vibe coding, personally find it alot more enjoyable
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Building Noet’s landing page to feel like a macOS screen was kind of a design choice, and also kind of a necessity. Check out the landing page and waitlist https://t.co/C3o9OWNRJg Or my X page, for more info on what I'm building. Join the waitlist. Shipping soon.
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Spent the weekend working on some new features introducing daily breifing. Looks at the memories stored locally to give you: GitHub activity summary Slack mentions & updates Today's calendar agenda AI-generated action items All local. Triggered both on boot up and upon request.
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Added typing suggestions to Noet design, been a slow week but will pick it up next few days.💪
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Been looking more into local data and sync engines. Tried out LiveStore 🤯
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Building Noet and AI desktop assistant, current flow Flow: - Convex webhook captures events → main process - Events normalized → SQLite - Vector engine embeds → finds semantic links - Proactive engine → LLM generates suggestions - Renderer displays via IPC Intelligence: -
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I’m building Noet publicly. Today I realised the biggest challenge isn’t LLMs, it’s context. Knowing what matters > being able to generate text. If we solve context properly, everything changes.
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Well deserved, the UX on fuse brilliant 👏
Fuse wins App of the Year at the 2025 𝝠 Expo App Awards. A huge thank you to the @expo team and community for recognizing our work. While we’re proud of how far we’ve come, the job’s far from finished. Back to building the future of consumer finance.
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Early days still, but the direction is clear: Noet behaves like a teammate, not a chatbot, it anticipates your workflow instead of reacting to it. If you want updates, I’m building this fully publicly.
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