the Obsidian angle is what separates this from the ten other meeting notetakers on this page - most of them dump you into their own proprietary app, this one respects that people already have a whole second brain built in markdown and just wants to feed it. "listens locally" - does that mean transcription happens on-device too, or just that audio capture is local and the transcript still goes to a cloud model for the decision-extraction part?
About WhisperBrain on Product Hunt
“Your second brain for meetings.”
WhisperBrain launched on Product Hunt on September 30th, 2026 and earned 65 upvotes and 2 comments, placing #40 on the daily leaderboard. WhisperBrain listens locally, remembers what your team decided, and turns every meeting into searchable memory inside Obsidian.
On the analytics side, WhisperBrain competes within Productivity, Notes and Meetings — topics that collectively have 676.8k followers on Product Hunt. The dashboard above tracks how WhisperBrain performed against the three products that launched closest to it on the same day.
Who hunted WhisperBrain?
WhisperBrain was hunted by Sandeep Singh. 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.
For a complete overview of WhisperBrain including community comment highlights and product details, visit the product overview.
Sandeep Singh
the Obsidian angle is what separates this from the ten other meeting notetakers on this page - most of them dump you into their own proprietary app, this one respects that people already have a whole second brain built in markdown and just wants to feed it. "listens locally" - does that mean transcription happens on-device too, or just that audio capture is local and the transcript still goes to a cloud model for the decision-extraction part?