350 Interest Score
202 Discussions
0.58 Engagement
Jun 2023 Launched
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Winn.ai is a real-time sales assistant that joins you in your virtual meetings, captures all the information you need during the call, and auto-populates your CRM with just a click of a button. We handle your sales busywork so you can type less and win more.

What the Community Said

👋Hi All, Super excited to share WINN.AI with the amazing Product Hunt community! WINN.AI is all about helping sales teams win more. For years, we’ve all seen and experienced the frustration of salespeople spending too much time on administrative busywork - documenting and summarizing meetings, updating the CRM, organizing talking points and so much more. Let’s face it - no one likes updating the CRM and sellers perform best when they focus on what they’re best at - actually selling. That’s why w

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Let the AI do all the administrative work for you, so you will be able to focus on the more important things - sell more, and win more!

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Congrats Winn.ai team, super cool product!

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🚀 Congratulations on the launch of Winn.ai on Product Hunt! 🎉 Winn.ai sounds like an incredible solution for sales professionals, revolutionizing the way they handle their busywork and streamline their workflows. The real-time sales assistant aspect is particularly impressive, as it joins virtual meetings, captures essential information, and automates CRM integration with just a click of a button. That means less time spent on note-taking and data entry, and more time focused on engaging with pr

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``Impressive! Would it be okay to include your app in my AI directory? (producthunt.com/products/wikigpt3) >>> Email me your app details and I can also help get your app listed on 100+ AI directories..

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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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