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Delightful – Make friends at work, IRL. Good idea/bad idea?

Hacker News

Delightful – Make friends at work, IRL. Good idea/bad idea?

So, recently got into an accelerator and I wanted to build something in a space I'm familiar with but also wanted to solve a social issue. I'm really passionate about the future of work and the idea of human connection and have been intrigued with the correlated rise of mental health issues. Turns out 64% of NA adults are lonely and workplace loneliness has just been exacerbated by the pandemic and the confusing work situations. So I thought to myself: well what if I can meet people in the workplace who's also into Philosophy, Art, and Lord of the Rings? So I came up with Delightful: intimate in-person micro-meetups for the workplace based on complementary personality types & shared interests on autopilot (all you have to do is say Yes!) I think it'd be cool to have a Philosophy & Lunch session with 4 other strangers (maybe from different departments) this month, and a Paint Night session the next. What do you guys think about this? Is this something you'd use? I'd like to validate the idea. Would love to hear your thoughts, but please be nice :) Peace and love ya'll!

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Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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