139 Interest Score
24 Discussions
0.17 Engagement
Feb 2022 Launched

WhosDown is a mobile app where you can genuinely make friends—connecting with someone that shares a “common interest” in real-time. A common interest can be any activity like sports, gaming, shopping, or having coffee, you name it.

What the Community Said

This is a great idea, congrats on the launch! :)

— [REDACTED]

Neat idea! UX is a little tedious (why is each profile option such as birthday/gender its own page, and why do I have to select 3 categories instead of 1 or 2?). Interested to see how you solve the underlying chicken&egg problem though, because although I immediately downloaded the app, it's not encouraging to find nothing nearby. Maybe an incentive for someone to create a meetup would help? I imagine there are quite a few people on the app, but most people end up seeing that there is nothing al

— [REDACTED]

This type of app come and go so I’m hoping you find a potential differentiator . Maybe a built-in sudoku/wordle, a task field where people can post what they are trying to achieve like run half marathon with a comment section, seek a guest pass to a gym, use your common space for Scrabble etc.

— [REDACTED]

@yun_han1 Congratulations on the launch!! This is a fantastic product. Loving all the activities that you have listed. I will definitely give this a try. All the very best for this :D

— [REDACTED]

Nice idea, congrats for the launch!

— [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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