Your Mac has more power than the Apollo 11 guidance computer. Why send private audio to the cloud? 🚀 As a Laser Physicist, I built Thoth to reclaim that power. It’s a 100% native macOS transcriber for absolute privacy. Why Thoth: • On-Device: Whisper & LLMs run locally. No cloud, no data harvesting. • Core Audio: Record Zoom/Teams directly without clunky drivers. • SwiftUI: No Electron. Just pure speed. Stop renting servers. Use your hardware. 🛡️
Hi Product Hunt! 👋
I’m Matthieu, a Laser Physicist by day and indie dev by night.
I built Thoth because I was tired of the current AI landscape. We’re being told we need the cloud for everything, yet we have these incredible M-series chips sitting on our desks. Sending a confidential business meeting to a third-party server just to get a summary felt like a massive step backward for privacy.
With Thoth, I wanted to prove that "Native + Local" is the ultimate setup:
Core Audio: This was the biggest challenge. I wanted users to be able to record their meetings on both side (system and microphone) without installing annoying virtual audio drivers that break every macOS update or having a sketchy bot joining the meeting.
On-Device LLMs: Whether it's Whisper for transcription or Qwen/Llama for summaries, it all runs on your Neural Engine. You can optionally bring your own API key from major AI providers to translate/improve/summarize your transcripts.
The "No-Electron" Manifest: I spent months on the SwiftUI implementation to make sure it feels like a real Mac app. Fast, lightweight, and respectful of your RAM.
I’m here all day to chat about local AI, the struggles of Core Audio, or how to maintain a "math-first" approach to app development!
Can’t wait to hear your feedback! 🚀
The Core Audio approach for recording both sides of a call without virtual drivers is the part that actually matters. BlackHole breaks on every other macOS update and having a bot join your meeting just to record it feels wrong from a privacy standpoint.
Curious how the summarisation quality holds up with local Qwen/Llama vs cloud — that's usually where users end up reaching for the API key option anyway. Are most of your users running this on M-series chips, or are you seeing people try it on Intel Macs too?
About Thoth on Product Hunt
“Private, local AI transcription for your Mac”
Thoth launched on Product Hunt on April 28th, 2026 and earned 60 upvotes and 3 comments, placing #74 on the daily leaderboard. Your Mac has more power than the Apollo 11 guidance computer. Why send private audio to the cloud? 🚀 As a Laser Physicist, I built Thoth to reclaim that power. It’s a 100% native macOS transcriber for absolute privacy. Why Thoth: • On-Device: Whisper & LLMs run locally. No cloud, no data harvesting. • Core Audio: Record Zoom/Teams directly without clunky drivers. • SwiftUI: No Electron. Just pure speed. Stop renting servers. Use your hardware. 🛡️
Thoth was featured in Mac (103.5k followers), Productivity (650.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 227.8k products, making this a competitive space to launch in.
Who hunted Thoth ?
Thoth was hunted by Matthieu V. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Thoth stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Matthieu V