HN-Index

Hacker News

HN-Index

Hi * As someone always on the lookout for insightful content, I found it challenging to identify users whose posts consistently make an impact. To tackle this, I implemented an h-index calculator using HackerNews scores, available at alexmolas.com/hn-index. For those unfamiliar, the h-index is a metric from the world of academia, used to measure the impact of publications. Applied here, it scores HN users based on the maximum value of h, representing the number of posts that have each garnered at least h upvotes. The motivation was simple: a higher h-index might indicate consistently valuable contributions. Utilizing the HN API, I fetched user and item data to compute this index. Check out the implementation details and usage instructions in the companion post.

Visit product View on Hacker NewsFeb 17, 2024

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

66%66% 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: user, new, using · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

British Newspaper Negativity Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

British Newspaper Negativity Index

Hacker News2

The Orbital Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Orbital Index

Hacker News1

Orbital Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Orbital Index

Hacker News11

Orbital Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Orbital Index

Hacker News8

The Orbital Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Orbital Index

Hacker News1

Resilience Index36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resilience Index

Hacker News1

Crowdsourced index of concepts in CS lectures43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdsourced index of concepts in CS lectures

Hacker News2

-0

-0.7 to -0.9 correlation between the VIX and our sentiment index52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

-0.7 to -0.9 correlation between the VIX and our sentiment index

Hacker News2

untumbld - an index of the unindexed tumblrs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

untumbld - an index of the unindexed tumblrs

Hacker News4

Index Nuke46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Backlink Indexer Tool

Indie Hackers2$4,000/mob2b

Browse all products Analyze your launch