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New “Google Maps of Time” zooms from Yottayears to Zeptoseconds
Hacker NewsNew “Google Maps of Time” zooms from Yottayears to Zeptoseconds
I'm building this "Google Maps of time". It is an interactive timeline for historians. It has seamless zoom from Yottayears to zeptoseconds. This timespan can fit prety much anything an astrophysicist needs. The software is able to display "normal" historical events, anything at human-history scale (think years, days). Also, super-fast events, like a lightning strike.
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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new · Missing: mac, agents, macos84%84% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%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.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue16%16% 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, crypto1%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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