A
A really addictive way to read /r/todayilearned
Hacker NewsA really addictive way to read /r/todayilearned
Share cardActual performance
24points
11comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting31%31% predicted probability of success on Indie Hackers, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Re
Really fast webserver for kdb65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Really fast webserver for kdb
Hacker News29Fr
Free pizza for people who *really read* stuff online62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free pizza for people who *really read* stuff online
Hacker News3An
Analyzing a snapshot isolation read anomaly27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyzing a snapshot isolation read anomaly
Hacker News6Sh
Shit I Read54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shit I Read
Hacker News3Re
Read less, do more with SummarizeBot47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read less, do more with SummarizeBot
Hacker News2Re
Read less and do more with SummarizeBot47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read less and do more with SummarizeBot
Hacker News2Re
Read-Only PasteBin35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read-Only PasteBin
Hacker News1I
I ported danmaz74 "HN: Mark All Read" to Firefox38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I ported danmaz74 "HN: Mark All Read" to Firefox
Hacker News1Sh
Show HN : Figure out how much more you have to read63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : Figure out how much more you have to read
Hacker News1UR
URLTodo – The treatment for "Read It Never" syndrome47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
URLTodo – The treatment for "Read It Never" syndrome
Hacker News2