155 Interest Score
11 Discussions
0.07 Engagement
May 2025 Launched

Listen to what people says on Zoom/Gmeet calls, and generate on-the-spot phrase suggestions, to help sales reps/teams increase win rates. You can also think of it as Cursor for Sales. Tab, tab, tab, and new suggestions pop.

What the Community Said

Hello Product Hunt! We are Swan and Ethan, we are building Nomi, a real-time sales copilot. 🌎💥 It listen to what people says during Zoom/Google meet calls, and generate on-the-spot phrase suggestions, to helps sales with: - 💡 Asking better discovery questions - ⁉️ Handle prospect objections efficiently - 🤝 Close deals faster with more accurate next steps We offer free/unlimited access to our AI note-taker built in collab Nomi(YC X25) x Recall.ai (YC W20). Plus we also offer free/unlimited access

— [REDACTED]

This is beautiful. The idea of capturing and preserving memories in such a personal way really hits home. It’s not just tech—it feels human. Huge congrats to the team for creating something so thoughtful and meaningful

— [REDACTED]

this is super useful, can i use it for internal "sales meetings" as well??

— [REDACTED]

🎧 Real-time NLP-driven call assistance like this turns conversational AI into an active sales copilot. Parsing live Zoom/Gmeet inputs to surface adaptive phrasing creates an edge for SDRs, streamlining objection handling and response timing. ⚡🗣️

— [REDACTED]

Like having a smart co-pilot, it helps sales reps stay sharp and close deals faster—definitely a game-changer for sales teams craving that extra edge.

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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