hn

hnuserlist - Browse HN comment threads by username

Hacker News

hnuserlist - Browse HN comment threads by username

Share card

Actual performance

10points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · 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
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Th
Threadwatch.xyz – A 'watchdog' for fiery comment threads31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Threadwatch.xyz – A 'watchdog' for fiery comment threads

Hacker News2
(y
(yet another) bookmarklet for HN comment threads53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

(yet another) bookmarklet for HN comment threads

Hacker News1
Br
Browse, upvote and comment on HN from terminal with hnterminal50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Browse, upvote and comment on HN from terminal with hnterminal

Hacker News2
Br
Browse, upvote and comment on HN from command line59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Browse, upvote and comment on HN from command line

Hacker News9
Op
OpIn – Comment Anywhere33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpIn – Comment Anywhere

Hacker News2
TL
TL;DR for every comment on HN44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TL;DR for every comment on HN

Hacker News1
Br
Browse all your subreddits at once67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Browse all your subreddits at once

Hacker News6
Br
Browse SPACs and Their Sponsors and Underwriters50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Browse SPACs and Their Sponsors and Underwriters

Hacker News4
Ta
Tampermonkey userscript for removing HN threads via predefined regexes50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tampermonkey userscript for removing HN threads via predefined regexes

Hacker News11
Br
Brainfuck with threads and assertions46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brainfuck with threads and assertions

Hacker News22