Vi
Actual performance
5points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →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.
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Argil article to video38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Transform a blog article or newsletter into video in 2 min
My
My first article: SSO using Flask and selenium48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first article: SSO using Flask and selenium
In
Interactive article on convolutions52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interactive article on convolutions
Hypodash69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Article Automation
I
I wrote a 2000 word article on dealing with chargebacks44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote a 2000 word article on dealing with chargebacks
Chimp Rewriter52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The fastest article rewriter
Tr
Transform a video into an article and embed with iframe34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Transform a video into an article and embed with iframe
Just The Article Please38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A simple article reader for the web
Dispatch38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn one article into a LinkedIn post, X thread, and video s
Na
Narrating the web one article at a time44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Narrating the web one article at a time