FlowTracks – A goal-based time tracker focused on consistency

Hacker News

Hi HN, I made FlowTracks – a time tracker that shows how consistent you really are. I’ve tried a bunch of productivity tools: Pomodoro timers, TODO apps, time logs. They helped me focus or stay organized short-term — but none of them gave me a clear picture of how consistent I was over time. I wanted to know: - Which days I drift off - Whether I was improving week over week - When exactly my focus dropped during the day So I built FlowTracks. Originally it was just a tool for myself. But after using it daily for a few months, I realized it might help others too — so I put up a landing page and decided to share it. What it does: - Goal-based time tracking (e.g., “learn German 1h/day”) - Track time via timer or log it manually - Reports showing daily/weekly/monthly focus patterns - Focus breakdown: when you stopped or fell off track Would love to hear what you think or how you’d improve it! Thanks!

Visit product View on Hacker NewsApr 25, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

72%72% 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.

TrustMRRFits verified-revenue profile · Strong signals: apps, month, monthly · Missing: mobile apps, ios, personal

63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

34%34% 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

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: time tracking · 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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