Ma
Maria – iPad app for learning to read
Maria – iPad app for learning to read
Share cardActual performance
5points
4comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
58%58% predicted probability of success on BetaList, based on ML models trained on real launch data.
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Sh
Show HN : iPad app for learning about pregnancy via stories48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : iPad app for learning about pregnancy via stories
MsCrawford37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning to Read for Toddlers
Dr
Drawzee Now – iPad app with onboard machine learning49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drawzee Now – iPad app with onboard machine learning
My
My first iPad app "HckrNe.ws"38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first iPad app "HckrNe.ws"
My
My first iPad App38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first iPad App
Th
TheLMSapp, an iPad app for tablet elearning38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TheLMSapp, an iPad app for tablet elearning
Ha
Hall iPad App38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hall iPad App
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
On
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
We
We launched Pinstagram for iPad53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We launched Pinstagram for iPad