This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
OpenMeet
The meeting copilot that runs on your Mac
Your calls stay on your Mac. Most meeting tools work by uploading your conversation to a server. If you talk to clients under an NDA, handle anything regulated, or would simply rather not post your sales calls to a third party, that is a problem no feature list fixes. OpenMeet transcribes on device. Speech recognition, speaker separation, and answer drafting all run locally. Nothing about your call is uploaded, because there is nowhere for it to go
I'm Selçuk. OpenMeet is a menu-bar app for macOS that listens to both sides of a call, notices when you've been asked something, and drafts an answer while the other person is still talking.
It started as a folder of Python scripts I wrote to get through my own technical interviews. I interview in English, which is not my first language, and the gap that kept costing me wasn't knowledge — it was the four or five seconds between hearing a question and having the English for it. So I wired Deepgram to a local model and read the drafts off a second window.
Most of what I learned in that folder was unglamorous. I keep a list of terms the transcriber has to be told about, because "pod" comes back as "port" and "node" comes back as "not", and an answer built on a misheard noun is worse than no answer. I had to forbid the model from writing YAML or CLI commands, because I was reading the output out loud and you cannot say a Helm chart. I had to forbid it from saying "you'd check the kubelet" — the interviewer heard me instruct them instead of answering. And for a while the prompt hard-coded "senior DevOps interview", so "tell me about a time you disagreed with your manager" came back as a paragraph about pod counts. The field now comes from the role and your own resume, not from me.
OpenMeet is that folder, turned into something other people can install.
What it does during a call
Hears both sides separately. Your microphone and the audio the other side arrives on are captured on two channels and transcribed apart, so a panel of two reads as THEM 1 and THEM 2 instead of collapsing into one voice.
Spots the question. It watches the far side for questions — English and Turkish — and starts drafting without you pressing anything.
Drafts from your own notes. Point it at a folder and it ranks across it for what's relevant, then names the files it used at the bottom of the draft. If nothing was relevant it says no notes used rather than implying a source.
Writes answers you can actually say. First person, no code blocks, no pasted commands unless you're asked for one. That constraint is the whole difference between a prompter and a wiki.
Rewrites on one key. Shorter, give an example, name the trade-off, or tell me what to ask back.
Stays out of the screen share. Its windows are excluded from capture at the window-server level, so it isn't in the frames macOS hands to Zoom, Meet, Teams, QuickTime or OBS
About OpenMeet on Product Hunt
“The meeting copilot that runs on your Mac”
OpenMeet was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #47 on the daily leaderboard. Your calls stay on your Mac. Most meeting tools work by uploading your conversation to a server. If you talk to clients under an NDA, handle anything regulated, or would simply rather not post your sales calls to a third party, that is a problem no feature list fixes. OpenMeet transcribes on device. Speech recognition, speaker separation, and answer drafting all run locally. Nothing about your call is uploaded, because there is nowhere for it to go
On the analytics side, OpenMeet competes within Meetings, Artificial Intelligence and Career — topics that collectively have 486.8k followers on Product Hunt. The dashboard above tracks how OpenMeet performed against the three products that launched closest to it on the same day.
Who hunted OpenMeet?
OpenMeet was hunted by Selçuk KUBUR. 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 OpenMeet including community comment highlights and product details, visit the product overview.
Hey Hunters 👋
I'm Selçuk. OpenMeet is a menu-bar app for macOS that listens to both sides of a call, notices when you've been asked something, and drafts an answer while the other person is still talking.
It started as a folder of Python scripts I wrote to get through my own technical interviews. I interview in English, which is not my first language, and the gap that kept costing me wasn't knowledge — it was the four or five seconds between hearing a question and having the English for it. So I wired Deepgram to a local model and read the drafts off a second window.
Most of what I learned in that folder was unglamorous. I keep a list of terms the transcriber has to be told about, because "pod" comes back as "port" and "node" comes back as "not", and an answer built on a misheard noun is worse than no answer. I had to forbid the model from writing YAML or CLI commands, because I was reading the output out loud and you cannot say a Helm chart. I had to forbid it from saying "you'd check the kubelet" — the interviewer heard me instruct them instead of answering. And for a while the prompt hard-coded "senior DevOps interview", so "tell me about a time you disagreed with your manager" came back as a paragraph about pod counts. The field now comes from the role and your own resume, not from me.
OpenMeet is that folder, turned into something other people can install.
What it does during a call
Hears both sides separately. Your microphone and the audio the other side arrives on are captured on two channels and transcribed apart, so a panel of two reads as THEM 1 and THEM 2 instead of collapsing into one voice.
Spots the question. It watches the far side for questions — English and Turkish — and starts drafting without you pressing anything.
Drafts from your own notes. Point it at a folder and it ranks across it for what's relevant, then names the files it used at the bottom of the draft. If nothing was relevant it says no notes used rather than implying a source.
Writes answers you can actually say. First person, no code blocks, no pasted commands unless you're asked for one. That constraint is the whole difference between a prompter and a wiki.
Rewrites on one key. Shorter, give an example, name the trade-off, or tell me what to ask back.
Stays out of the screen share. Its windows are excluded from capture at the window-server level, so it isn't in the frames macOS hands to Zoom, Meet, Teams, QuickTime or OBS