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Omi

watches your screen, hears conversations, tells you what to do

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Spent 4 months and built Omi for Desktop, your life architect: It sees your screen, hears your conversations and will advise you on what to do nextBasically Cluely + Rewind + Granola + Wisprflow + ChatGPT + Claude in one appI talk to claude/chatgpt 24/7 but I find it frustrating that i have to capture/send screenshots of my screen and that it doesn't help proactively during my workWhenever omi sees something wrong about my workflow, it will send me a proactive notification with advice. It will also point to something I'm missing.The hardest part was to nail proactivity - after trying 20+ similar tools I didn't find a single one with smart proactive notifications based on content on your screen. I made it look at your screen every second with 4 main prompts:1. Is the user productive or distracted?2. Is there anything useful to say right now?3. is there any task to add to do later?4. is there anything important to remember about the user?Full stack: - Swift - Rust backend - Deepgram transcription - Claude code for messaging - GPT 5.4 summaries - Gemini for embeddings and translationOpen source, stores screenshots locally, uses Claude Code for chat. Has cloud to sync with hardware or mobile app but can be disabled in settings

HN · launched Apr 15, 2026 · 19 upvotes (top 26%) · 0 views

Niche: desktop ai assistants · 274 launches, 16 in the last 7 days ▼ -20% · Explore this niche →

Category and tags

  • Horizontal
  • Agent / copilot
  • Prosumer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial While wrapping APIs like Claude and whisper is simple, continuous real-time multi-modal desktop capture (native screen frame capture, audio device loopback, OCR, and low-latency contextual processing) requires non-trivial native OS systems programming.

What it would actually take: A functional implementation requires a native desktop client (e.g., Swift/macOS ScreenCaptureKit and CoreAudio, or Rust/C++ cross-platform bindings) that captures audio and screen state efficiently without killing battery life. It needs a local pipeline for VAD (voice activity detection), on-device OCR or visual frame differencing, and a local or remote context-aggregation buffer feeding an LLM. The challenging parts are native OS permission sandboxing, zero-latency streaming audio loopback, and minimizing CPU/GPU load during continuous capture.

Discussion

13 comments analyzed.

Competitors mentioned: Pomodoro and todo list apps, ChatGPT, Claude

Concerns raised: Privacy/personal data capture concerns, Screen recording and text conversion performance/slowness, AI lacks understanding of user goals and context, Produces irrelevant tangential suggestions, Micromanagement/interruption disrupts flow state

Feature requests: Passive listening/transcription mode (previous version feature), Applications for educational use (courses, DIY, homework, surgery)

Competitors

Other products that read as similar to this one : 166 launches clear the similarity bar, closest 8 shown.

Attention rank: #74 of 167 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 147 days after the earliest competitor.

  • Omi · ph · 2026-09-03 · 272 upvotes · similarity 0.48
  • FrameCap · ph · 2026-10-23 · 1 upvotes · similarity 0.43
  • Intelli for ChatGPT & Claude · ph · 2026-10-21 · 76 upvotes · similarity 0.43
  • ContextPod · ph · 2026-10-26 · 5 upvotes · similarity 0.41
  • Deiko · ph · 2026-09-19 · 4 upvotes · similarity 0.41
  • Claude Overlay · ph · 2026-07-14 · 154 upvotes · similarity 0.40
  • iamworking · ph · 2026-10-20 · 1 upvotes · similarity 0.40
  • Claude Read Aloud · hn · 2026-09-11 · 5 upvotes · similarity 0.39

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