A
A tool to learn how others feel after reading e-mails from you
Hacker NewsA tool to learn how others feel after reading e-mails from you
Share cardActual performance
5points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal56%56% 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.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive18%18% 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, podcasting18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Le
Learn Latin through interactively reading the Classics62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn Latin through interactively reading the Classics
Hacker News21Ahmedabad Call Girls13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
You are never going to feel lonely and exhausted while you..
Indie Hackerscommitment-full-timeun
unix subprocesses for Erlang with reading with backpressure72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
unix subprocesses for Erlang with reading with backpressure
Hacker News8Th
The SQ3R Reading Method28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The SQ3R Reading Method
Hacker News10Footnote30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Reading. Remembered.
Indie Hackers1communicationResurefy34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reinvent Reading
Indie Hackers3writingReadwok39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
online text reading tool
Indie Hackers1booksWh
What if you don't feel overwhelmed reading big articles44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What if you don't feel overwhelmed reading big articles
Hacker News3Currently Reading54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keep motivated about your reading habits
Indie Hackers1booksPl
Ploter – the all-ine-one reading app35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ploter – the all-ine-one reading app
Hacker News1