
NailIT: AI Meeting Assistant That Keeps Context
It listens to meetings, catches key questions, and suggests
I’m building a real-time AI meeting assistant — but I’m trying to avoid making “just another meeting summarizer”
Hey Indie Hackers,
I’m building NailIT, a desktop AI meeting assistant focused on helping during live conversations, not only after the meeting ends.
Most AI meeting tools seem to focus on transcripts, summaries, recordings, and action items. Those are useful, but they solve the problem after the call. The moment I’m more interested in is the stressful part while the conversation is still happening: listening, thinking, remembering context, taking notes, and trying to respond clearly at the same time.
That is the problem NailIT is trying to solve.
The idea is to act like a second layer of attention during meetings. It follows the context in real time, detects important questions, and shows useful notes or answer cards while the conversation is still going.
I see the strongest use cases as:
job interviews,
sales calls,
client meetings,
technical discussions,
founder/operator calls,
and any situation where context and timing matter.
I already have a working desktop prototype and recently launched a Kickstarter campaign to help fund further development, testing, UX improvements, and release.
What I’m trying to figure out now is positioning.
Would you describe this more as:
an AI meeting assistant,
a real-time conversation copilot,
an interview/sales call assistant,
or something else entirely?
I’d really appreciate honest feedback from other builders.
Campaign link:
https://www.kickstarter.com/projects/819248526/nailit-ai-meeting-assistant-that-keeps-context
About
I’m working on NailIT because important conversations often require more attention than one person can comfortably manage at once. During meetings, interviews, sales calls, or technical discussions, it is easy to lose co

1 Comment
What stood out to me isn't the meeting-summary angle at all.
It's that you're shifting the value from "remembering what happened" to "performing better while it's happening."
The part I'd be watching is whether those use cases (interviews, sales, client calls, technical discussions, founder calls) end up wanting the same thing from the product, because that answer probably affects the positioning more than the label itself.