Po

Pole Clock, a single 24h clock with multiple timezones

Hacker News

Pole Clock, a single 24h clock with multiple timezones

Hi HN! I designed this Pole Clock to be a helpful tool for people like myself who often struggle with managing their sense of time. I found that analog clocks are generally easier to read and understand than digital ones, however I find the fact that every day is broken into two 12-hour rotations unintuitive. A single 24-hour rotation makes it easier to grasp where in the day you are, the bottom half representing night and the top half representing day. Additionally, because the clock displays 24 hours, you can add extra hour hands on the clock for other time zones. This is especially useful if you work remotely or have friends and colleagues in different time zones. At a single glance, see where they are in their days and energy levels! I hope you'll give the Pole Clock a try and find that it helps you better understand and manage your sense of time.

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Actual performance

440points
165comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, 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
46%46% 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 · Strong signals: intuitive · Missing: plus, platform, reviews
30%30% 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 · 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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