a

a scrape of HN every five minutes for the last year

Hacker News

a scrape of HN every five minutes for the last year

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
89%89% 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 NewsStrong engagement from HN community · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
44%44% 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
42%42% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Sc
Scrape 'Learn X in Y Minutes'61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scrape 'Learn X in Y Minutes'

Hacker News1
Sc
Scrape Baidu57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Scrape Baidu

Hacker News1
Ye
Year 277364%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Year 2773

Hacker News12
Ye
Year in Pixels68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Year in Pixels

Hacker News3
Th
The Five Year Itch63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Five Year Itch

Hacker News86
A
A year of Foursquare Checkins -- Show me yours64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A year of Foursquare Checkins -- Show me yours

Hacker News2
Re
Resumonk – a year after it was launched here52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resumonk – a year after it was launched here

Hacker News69
Th
Thank you for a wonderful year50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thank you for a wonderful year

Hacker News4
My
My Year Printed53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Year Printed

Hacker News2
20
2015 – The Year of the Dwarf Planets66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2015 – The Year of the Dwarf Planets

Hacker News4