Open-source gamified community platform

Hacker News

Hey! Wanted to showcase this project I’ve been passionately working on. It’s an open source community platform built with the nextjs app router. There’s lots of cool features, but the main one I’m excited about is the gamification. There’s a badge and inventory system. Admins can set value to user actions like creating a post. Then a user can use their accumulated points to purchase items that have modifiers on things like your username or avatar. There’s zero vendor lock in and all you need is a: - redis server - s3 storage - smtp server Built with nextjs and prisma. Would love your thoughts and opinion. If you have any issues getting it running feel free to ping me on x at @dillonraphael

Visit product View on Hacker NewsJan 22, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open · Missing: mac, agents, macos

83%83% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, open source, io · Missing: https docs, just released, exist

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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.

Correct prediction on native model

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