Weeks of Your Life – Your Life in Weeks:D

Hacker News

Posted this once already in 2021. [1] Now a post by @petemilly got some attention in December of 2023 [2]. They created https://www.weeksofyour.life/ which I only just saw today. The thread is too old to comment on, so I thought to re-post my project: https://henk23.github.io/your-life/ Can never have enough of those life-week-trackers. ^^ I'm tracking anonymous page visits with Plausible. 3 years after creating and posting about it, it still has around 5 visitors per day. <3 By far my most popular project of all times. ^^ [1] https://news.ycombinator.com/item?id=27462981 [2] https://news.ycombinator.com/item?id=38753911

Visit product View on Hacker NewsMar 11, 2024

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

74%74% 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 HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

55%55% 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

42%42% 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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% predicted probability of success on Product Hunt, 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 · 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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