Logical (YC F25): a local-first proactive desktop AI copilot
Hey HN! My co-founder and I have been building Logical, a proactive desktop AI copilot that watches what you're doing (locally), understands the context of your workflow, and surfaces helpful actions before you prompt it. - Quick demo: https://www.loom.com/share/090a065315934aa7b36a7676f9394d1f - Try Logical: https://trylogical.ai/signup Logical lives on your desktop, infers what you're trying to do across apps – email, meetings, documents, PDFs, terminals – and: - Gives you a reply suggestion when you hit "Reply" on an email thread - Offers to "Check…
Logical (YC F25): a local-first proactive desktop AI copilot launched on November 26, 2025 with 8 votes, #1,383 of 9,796 launches that month and more than 75% of that year's launches.
What it does
Logical automatically identifies actionable to-dos from emails, chats, and threads as they appear, with no integrations required. Private by design, runs on your Mac.
In the maker’s words, at launch
Hey HN! My co-founder and I have been building Logical, a proactive desktop AI copilot that watches what you're doing (locally), understands the context of your workflow, and surfaces helpful actions before you prompt it. - Quick demo: https://www.loom.com/share/090a065315934aa7b36a7676f9394d1f…
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Logic, Inc.2025 · logic.inc · ▲296Hey HN, I’m Steve, founder of Logic, Inc (https://logic.inc). Over 16 years on HN, this is my third startup launch! Logic came from years I spent at Brex and Convoy building internal automations for our Ops teams. Every team had detailed SOPs, but automating pieces of them always required engineering time and (often) hacks in Retool or Zapier. We had the thought experiment of “If we take a typical SOP, and make zero changes, how far can the LLM run with it?” and “What would we need in place to have everyone, eng included, comfortable with the end result in a critical path?”. And…


FriendwareJan 2026 · friendware.ai · ▲190Hey HN, I built Friendware because I wanted autocomplete that works everywhere on my Mac, not just in code editors. In any text field it can draft replies, rewrite text, and write prompts for AI tools; it uses on-screen context to adjust based on what you’re doing. My goal was making it feel native and not require workflow changes, so it stays accessible across apps by living in the notch. Currently working on better voice learning and a memory system, would love feedback on what to prioritize!
ViberiaMay 2026 · getviberia.com · ▲146Hey HN, This is my take on the agent harness. Everything on an isometric map. Agents are grouped into "buildings" that run in a sequence or a loop; e.g., the CodeForge has an agent that writes a PRD, another one that implements, and a third that reviews. Everything is customizable, you build your own buildings/teams however you want. It's a Tauri app, really light (about 8x less energy than the closest competitor I benchmarked, so it actually runs from a coffee shop on battery). It's macOS only for now, but ping me if you are willing to test the Windows or Linux version. I've been…
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