I made a tool to sync old New Year's broadcasts to midnight (SolidJS)

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Last year we wound up watching an old NYE broadcast instead of the televised one and really enjoyed the nostalgia of it all. To try and capture that I've made this website which collected every half decent broadcast I could find on youtube and their respective new year's timestamps. It's a bit rushed out here to be of some use for this new year (thought I'd have more time to work on it over Christmas) but should roughly work as intended. The full archive is viewable at https://sync-play.netlify.app/list You can make your own links to synchronise to a time at https://sync-play.netlify.app/build

Visit product View on Hacker NewsDec 30, 2024

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62%62% 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: new · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

48%48% 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 · Missing: plus, platform, intuitive

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

18%18% 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.

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