Beautiful Failed Blackhole Simulation

Hacker News

Epilepsy/Seizure Warning: If you have epilepsy or experience seizures, the animation is a failed attempt at recreating the black hole visualization from the film "Interstellar" with three.js that resulted in a plane shaped event horizon phasing through a spherical black body around which point particles revolve. Please skip it if you have a condition that could cause a seizure as a result of looking at any sort of visualization. For everyone that wants to safely check it out, simply do not interact with the screen for a few seconds to make the UI fade away so you can look at the visualization. Cheers everyone.

Visit product View on Hacker NewsDec 29, 2024

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: io · 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.

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

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

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

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%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, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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