A

A companionable and convenient Countdown tool website

Hacker News

A companionable and convenient Countdown tool website

Hello everyone, I am an independent developer and I've recently launched a small tool website - 5minutetimer.com. This project is very special to me as it's not just a simple 5-minute timer, but a website designed to offer a companionable and convenient countdown experience. At 5minutetimer.com, you can easily set up countdowns and have the option to customize dynamic images and background music during the countdown, making each countdown a unique experience. I plan to continuously improve the website, adding more interesting and useful countdown features in the future. I sincerely hope to receive your support and feedback to help me make it better. Thank you very much for your attention and support!

Visit product View on Hacker NewsFeb 28, 2024

Actual performance

1points

Did not reach leaderboard

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82%82% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

45%45% 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: io · Missing: https docs, excited, just released

31%31% 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

9%9% 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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