Re
Read the best tech bloggers in one app
Hacker NewsRead the best tech bloggers in one app
Share cardActual performance
35points
22comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto54%54% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released39%39% 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, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive22%22% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
At
Ato de yomu – a read-it-later app55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ato de yomu – a read-it-later app
Hacker News1On
One App to read them all38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One App to read them all
Hacker News8Re
Read the books most recommended by tech pioneers55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read the books most recommended by tech pioneers
Hacker News6I
I made an OPML of the tech blogs you should read38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an OPML of the tech blogs you should read
Hacker News1An
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 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 News2I
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