Do
Download the first 10,002,378 HN comments/stories as one archive
Hacker NewsDownload the first 10,002,378 HN comments/stories as one archive
Magnet link: magnet:?xt=urn:btih:44c65b5779d9d8021e002584fa73740f36d052a6&dn=10m_hn_comments_sorted Go to https://hn-archive.appspot.com/ for the torrent file / source code. I'll be semi-frequently checking the story and answering any questions which may come up.
Share cardActual performance
90points
19comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released42%42% 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, intuitive34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps, code · Missing: mac, agents, macos24%24% 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, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
To
Top 10 Newest HackerNews Stories (Phoenix/LiveView)72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Top 10 Newest HackerNews Stories (Phoenix/LiveView)
Hacker News5Th
The New Organs – an archive of stories about creepy targeted ads54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The New Organs – an archive of stories about creepy targeted ads
Hacker News7My
My Mercurial Archive55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Mercurial Archive
Hacker News2Pr
Prodhunt – Producthunt Archive52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Prodhunt – Producthunt Archive
Hacker News1Gi
Gist Archive46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gist Archive
Hacker News2Ma
MajinBook = Anna's Archive and Goodreads55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MajinBook = Anna's Archive and Goodreads
Hacker News7An
An annotated archive of S-1 filings, with hindsight55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An annotated archive of S-1 filings, with hindsight
Hacker News2Prodhunt31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Producthunt Archive
Indie Hackers6$21/moadvertisingLi
List and selectively download files from ZIP archive48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
List and selectively download files from ZIP archive
Hacker News2Em
Embeddable hackernews comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Embeddable hackernews comments
Hacker News3