Daily snapshot of Hacker News' frontpage

Hacker News

Hi there! I'm trying to fight my bad habits of reloading news sites every 5 minutes while procrastinating work, so I've made this nightly snapshot of the Hacker News' frontpage consuming the API. My intention is that the third day in a row that I get used to seen the same list every five minutes, I will start killing the (bad) habit. It has a bit of (mostly irrelevant) text in Spanish because it's part of a larger site I'm building for this, but you can probably ignore that. Under the hood, it's a simple Ruby script[0] that crawls HN's API and generates a static HTML - run every night in a Github Action that deploys to Github Pages. Hope it's useful for somebody else out there! [0]: https://github.com/mgarciaisaia/deja.de.hueve.ar/blob/main/c...

Visit product View on Hacker NewsAug 20, 2022

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Actual performance

3points

3comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

55%55% 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

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

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, 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.

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

44%44% 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

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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