Tomoropomodoro – Pomodoro for Coffee Shops

Hacker News

For sure we all have used some kind of productivity apps and most of those are not that effective. I see pomodoro apps as some kind of fake concept with no real impact on my productivity, it doesn't make sense at all. yet it is on the top chart of App Store... And throughout the years I find only effective to work for me is to work at coffee shops with random background music selected by the shop operator. So I developed my own "pomodoro" app with a simple function that toggle your reward circle in different ways. Please use this app at a coffeeshop or any places surround with music :) Any feedback is craved!

Visit product View on Hacker NewsOct 12, 2023

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

73%73% 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.

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

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

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

40%40% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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