A life calendar to remind us how much time we have left to live

Hacker News

I’ve always been amazed by how short life is. But the thing is, it’s so easy to get caught up in the day-to-day — work, deadlines, chores — and forget that time is quietly slipping by. So I built this little thing. It shows your life in weeks — how many you’ve lived, and how many (roughly) you might have left. For me, it’s a daily reminder to zoom out, reflect on my choices, and not take time for granted. I’d had this idea in my head for ages and finally managed to build it (I’m not a technical person at all, so the app is really in the early stage) Hope it’s helpful to someone out there :) P.s: I set this as my default tab on Chrome to remind me daily lol

Visit product View on Hacker NewsApr 16, 2025

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

67%67% 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.

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

54%54% 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

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

31%31% 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

24%24% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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