Replay Iconic HN Stories

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Do you remember when Dropbox was announced? Bitcoin? Go? Hacker News remembers. It has become one of the best databases of post-2006 tech history. I attempted to recreate the feeling of "being there" for noteworthy discussions by animating the comments as they unfold: Dropbox introduced https://hn.unlurker.com/replay?item=8863 Nobody cares about Chrome? https://hn.unlurker.com/replay?item=292634 Early Bitcoin (this one is a bit of a joke. I hope you bought some, jdoliner) https://hn.unlurker.com/replay?item=599852 Go Language Announced https://hn.unlurker.com/replay?item=934142 Stripe Introduced https://hn.unlurker.com/replay?item=3053883 More in drop-down on the site or enter any other item ID. Better on desktop.

Visit product View on Hacker NewsMay 22, 2025

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

67%67% 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

46%46% 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

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

31%31% 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

29%29% predicted probability of success on TrustMRR, 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 · Strong signals: introduce · 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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