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TACK.IM
Keep live meetings on track and turn talk into actionable
Most meeting assistants explain what happened afterward. Tack works while the conversation is happening - mapping emerging topics, catching sustained tangents, guiding the room back on track, and surfacing decisions and action items before everyone leaves.
Hey Product Hunt, I’m Hong, building Passive Real-Time AI Meeting Intelligence.
I started building Tack after I had more than 8 meetings a day, realizing that most meeting tools become useful only after the meeting is over.
A transcript can show where a conversation went off track. A summary can reveal that no real decision was made. But by then, the people needed to fix it have already left the room. And you have to wait for next week or meeting (whenever that is).
Tack is my attempt to make AI useful while the conversation is still happening.
It follows the discussion live, builds a map of emerging topics, notices when a genuine tangent is taking over, and gives the room a way to preserve that thought without losing the original objective. It also surfaces potential decisions and action items for confirmation before everyone moves on.
An important principle for me was that not every tangent is bad. Some of the best ideas begin as tangents. Tack waits for a sustained diversion, then helps you park it, not discard it, so the meeting can return to what it came to resolve.
The product originally began as a better way to visualize meeting outcomes. Over time, I realized the greater opportunity wasn’t producing a better record of a meeting. It was helping people create a better outcome in the first place.
Tack is targeting recurring meetings and short interviews.
I’d especially love feedback on:
1. Which kinds of meetings would benefit most from live guidance?
2. When does an intervention feel helpful rather than intrusive?
3. What do you not like about Tack?
Thanks for taking a look. I’m excited to hear what feels useful, what feels uncomfortable, and where you think Tack should go next.
How does it actually nudge a room back on track without coming across as awkward or intrusive, especially with mixed groups where some people are more dominant than others?
How does Tack actually nudge a room back on track without coming across as awkward or disruptive, especially in meetings with senior stakeholders who might bristle at an AI chiming in?
It actually nudged us back on topic mid-discussion instead of just summarizing later, which caught me off guard. Felt less like a note-taker and more like a quiet moderator in the room.
Caught a tangent in a standup before anyone else did and nudged us back on topic, which felt almost unfair. Useful for meetings that drift.
Used it during a standup and it nudged us back when we drifted for ten minutes into a side debate. The real-time nudging actually feels helpful rather than intrusive.
The real-time intervention angle is what got me, since most tools just summarize what already slipped by. Tack feels built for the messy reality of how meetings actually go, not a polished fantasy version.
About TACK.IM on Product Hunt
“Keep live meetings on track and turn talk into actionable”
TACK.IM was submitted on Product Hunt and earned 6 upvotes and 8 comments, placing #72 on the daily leaderboard. Most meeting assistants explain what happened afterward. Tack works while the conversation is happening - mapping emerging topics, catching sustained tangents, guiding the room back on track, and surfacing decisions and action items before everyone leaves.
TACK.IM was featured in Productivity (656.2k followers), Sales (21.9k followers) and Meetings (6.5k followers) on Product Hunt. Together, these topics include over 159.8k products, making this a competitive space to launch in.
Who hunted TACK.IM?
TACK.IM was hunted by toorcn (Hong). 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.
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