Trophy – Gamification Infrastructure for Developers

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Hey HN! I'm Charlie, one of the co-founders of Trophy. Trophy is a platform for developers to build and ship gamification experiences for any web or mobile app without having to roll any of the backend yourself. We provide APIs and SDKs to shortcut a lot of the legwork building features like Achievements and Streaks, and a dashboard where you can tweak the experience without having to make any code changes. My co-founder Jason runs campfirewriting.com and always wanted to build a gamification system to boost retention, but always pushed it back in favour of other core features. So we decided to build something that cuts out 90% of the work and doesn't require constant maintenance when you want to test new ideas or features. How it works: - Track interactions: Integrate the SDK to track any user interaction across your whole user base in a few lines of code. - Configure features: Use the dashboard to build one-off or multi-level Achievements and daily/weekly/monthly Streaks driven by user interactions. - Measure and tweak: Use the admin panel to measure retention, and to tweak the experience at any time. I'm excited to hear your thoughts and feedback!

Visit product View on Hacker NewsMar 20, 2025

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

95%95% 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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal

32%32% 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

24%24% 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

14%14% 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.

Incorrect prediction on native model

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