threadfork
AI meeting notes that run on your Mac
Details
- External ID
- 48996204
- Source
- HN
- Company
- —
- Product
- threadfork
- Website domain
- threadfork.com
- Launched
- July 21, 2026
- Cohort
- —
- Upvotes
- 10
- Upvotes percentile
- 0.5418160095579451
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hi HN, I built threadfork. It's an AI notetaker where the whole pipeline runs locally on Apple Silicon. Your microphone and system audio gets captured without a meeting bot and most importantly your meeting data doesn’t get sent or saved anywhere.I've been building in the privacy + local LLM space for the past several years (I started DataFog, an OSS PII detection library with 300K+ downloads); keeping all the processing and data on-device was a day 0 condition for me when building this out. Granola's updated privacy policy, effective later this week, keeps non-enterprise users opted into model training on "de-identified" data by default. Having built PII detection for a living, I'll say plainly: de-identifying meeting transcripts is really hard. Names are the easy part; deal terms, client details, and health disclosures are the transcript. For the lawyers, consultants, and therapists I've been talking to, the only version of this that holds up is the model never seeing the data at all.It's macOS 14+ on Apple M-Series computers (for now), 14-day trial, no credit card. I have a user running this on an M1 8GB so older machines welcome. $40/month after that. I use this product daily and you can expect regular updates.Welcome any/all feedback.
Enrichment
- Theme
- AI voice recorders and meeting notetakers
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- B2C
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- ai meeting notes for mac
- Manually corrected
- False
Could you build this?
Yes A macOS menu bar app that captures CoreAudio / ScreenCaptureKit audio and pipes it into local Whisper.cpp and a local Ollama/MLX LLM model is a standard project well within vibe-coding reach.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 126 launches clear the similarity bar, closest 8 shown.
Attention rank: #60 of 127 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 265 days after the earliest competitor.
- On-device meeting transcription for your Mac · hn · 2026-03-18 · 6 upvotes · similarity 0.55
- Hyper · hn · 2026-03-11 · 16 upvotes · similarity 0.48
- I built a system for active note-taking in regular meetings like 1-1s · hn · 2025-12-08 · 177 upvotes · similarity 0.47
- Alt · hn · 2025-11-27 · 5 upvotes · similarity 0.46
- Trace · hn · 2026-06-13 · 205 upvotes · similarity 0.46
- Writekin · hn · 2026-07-28 · 6 upvotes · similarity 0.44
- On-device transcriber that's 97% accurate at identifying speakers · hn · 2026-06-05 · 32 upvotes · similarity 0.42
- Coii AudioNotes · ph · 2026-09-21 · 1 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.