23 Interest Score
17 Discussions
0.74 Engagement
Jul 2025 Launched

We help businesses and individuals get professional work done using tools built by experts. Think Uber, but instead of drivers, you get verified professionalsโ€”doctors, lawyers, engineers, teachers and moreโ€”whoโ€™ve turned their expertise into practical AI tools.

What the Community Said

Really interesting concept โ€” love the mission to move beyond junk bots and deliver real value. ๐Ÿš€ Just a small suggestion: it might help to add a quick note in the first comment explaining the intention behind launching this product. That way, users can better understand the vision and purpose behind what youโ€™ve built! Keep going โ€” excited to see where this goes ๐Ÿ™Œ

โ€” [REDACTED]

Let me cut straight to what we actually do. We help people get professional work done using tools built by real experts. Think Uber, but instead of drivers, you get verified professionalsโ€”doctors, lawyers, engineers, teachers, architects, translators, and moreโ€”whoโ€™ve turned their expertise into practical AI tools. Some Studies: * Paying users across 40+ countries in just a few months * 80% come back and pay again - that's not hype, that's real value * Real companies like Kixicrรฉdito (microfinanc

โ€” [REDACTED]

This sounds like a much more practical approach than generic chatbots. I really like the idea of research-backed agents. Are these typically deployed for specific industries? @juvenal_lunguenda

โ€” [REDACTED]

Congratulations Juvenal and team. This is a well needed solution and I am looking forward to seeing its success.

โ€” [REDACTED]

Excited to see how this evolves. Keep it coming!

โ€” [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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