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).
Most AI meeting tools summarize chaos. Noada eliminates it. After the organizer sets the goals and direction, Noada’s AI interviews each participant privately, on their own schedule, then synthesizes everyone’s input into one output — where there’s alignment, where there isn’t, what was decided, what risks exist, what’s unresolved. In beta, every team cancelled at least one recurring meeting. No loudest-voice bias. No scheduling. No pointless meetings. Free to try. No meeting required 🤣
After missing another bedtime with my two kids because of a “quick-sync” that turned into an hour-long meeting and resulted in nothing tangible, I started building Noada.
The app is named Noada after my daughters — a blend of their names — because building it essentially gave me back time with them.
The problem started while working on another startup, while also having a full-time job. The coordination meetings at night were never-ending and also unproductive. Decisions were unclear, meetings lacked direction, important risks/concerns rarely surfaced, and the same topics resurfaced week after week.
We realized group meetings have the same problems every time:
Loudest voices dominate the conversation.
Team members withhold or self-censor.
There’s internal pressure to align.
Critical blockers are hidden because raising them feels uncomfortable.
The current batch of AI tools treat this as a transcription problem. But a bad meeting with lots of noise just produces a clean transcript with lots of noise, and there’s nothing AI can do about that. Garbage in → garbage out.
So, we built an internal tool for ourselves to address the problem.
Instead of scheduling another group call, AI speaks with the organizer to understand the goal and direction of the meeting, then privately and asynchronously interviews each participant. It asks follow-up questions, identifies disagreements and blockers, and synthesizes everything into a single shared output with decisions, areas of consensus, risks/blockers, and next steps.
A few things we didn’t expect while using this:
Team members were more honest in the private AI conversations.
Many of our reoccurring meetings simply disappeared, either because they weren’t necessary, or folks opted for using our async meeting tool because it was faster and easier.
When I was able to do a meeting in just a few minutes, while playing with my kids in the evening, is when we decided to turn our internal tool into a standalone app. And today, it’s live on the App Store.
It’s free to try, with no calendar setup or integrations. Just describe the discussion, invite participants, and let the AI handle the rest.
I’m here all day and would love any feedback. We’re still very early so anything you have to share would be much appreciated.
One question I’ll leave you with:
How long has it been since you left a meeting knowing exactly what was decided and what was supposed to happen next?
No comment highlights available yet. Please check back later!
About Noada on Product Hunt
“What if your best meeting never happened?”
Noada was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #113 on the daily leaderboard. Most AI meeting tools summarize chaos. Noada eliminates it. After the organizer sets the goals and direction, Noada’s AI interviews each participant privately, on their own schedule, then synthesizes everyone’s input into one output — where there’s alignment, where there isn’t, what was decided, what risks exist, what’s unresolved. In beta, every team cancelled at least one recurring meeting. No loudest-voice bias. No scheduling. No pointless meetings. Free to try. No meeting required 🤣
Noada was featured in Productivity (653.8k followers), Meetings (6.5k followers) and Remote Work (4.1k followers) on Product Hunt. Together, these topics include over 145.2k products, making this a competitive space to launch in.
Who hunted Noada?
Noada was hunted by Elliot Curry. 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 Noada stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Elliot Curry
After missing another bedtime with my two kids because of a “quick-sync” that turned into an hour-long meeting and resulted in nothing tangible, I started building Noada.
The app is named Noada after my daughters — a blend of their names — because building it essentially gave me back time with them.
The problem started while working on another startup, while also having a full-time job. The coordination meetings at night were never-ending and also unproductive. Decisions were unclear, meetings lacked direction, important risks/concerns rarely surfaced, and the same topics resurfaced week after week.
We realized group meetings have the same problems every time:
Loudest voices dominate the conversation.
Team members withhold or self-censor.
There’s internal pressure to align.
Critical blockers are hidden because raising them feels uncomfortable.
The current batch of AI tools treat this as a transcription problem. But a bad meeting with lots of noise just produces a clean transcript with lots of noise, and there’s nothing AI can do about that. Garbage in → garbage out.
So, we built an internal tool for ourselves to address the problem.
Instead of scheduling another group call, AI speaks with the organizer to understand the goal and direction of the meeting, then privately and asynchronously interviews each participant. It asks follow-up questions, identifies disagreements and blockers, and synthesizes everything into a single shared output with decisions, areas of consensus, risks/blockers, and next steps.
A few things we didn’t expect while using this:
Team members were more honest in the private AI conversations.
Many of our reoccurring meetings simply disappeared, either because they weren’t necessary, or folks opted for using our async meeting tool because it was faster and easier.
When I was able to do a meeting in just a few minutes, while playing with my kids in the evening, is when we decided to turn our internal tool into a standalone app. And today, it’s live on the App Store.
It’s free to try, with no calendar setup or integrations. Just describe the discussion, invite participants, and let the AI handle the rest.
I’m here all day and would love any feedback. We’re still very early so anything you have to share would be much appreciated.
One question I’ll leave you with:
How long has it been since you left a meeting knowing exactly what was decided and what was supposed to happen next?