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I built SexTracker – a private app that gamifies intimacy for couples

Hacker News

I built SexTracker – a private app that gamifies intimacy for couples

Hey HN, I’m Felipe, a software engineer, and I built SexTracker after work as a side project. It started as something fun for me and my girlfriend, just a way to log our intimate moments and see streaks. Over time it turned into a full app where couples can: * Track their private moments (completely private, no social features) * Earn streaks and unlock playful achievements * See stats and a calendar of their history * Watch their “flame level” grow stronger the more consistent they are I wanted to make intimacy feel playful instead of routine — kind of like a fitness tracker, but for relationships. Here’s the landing page + demo: https://thesextracker.com I’d love to hear what you think. Is this something that makes sense outside of my own relationship? What would make it better? Thanks for reading, Felipe Freitas

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac · Missing: agents, macos, agent
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way, fitness · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, 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
25%25% 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
18%18% 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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