Wa
Watch UX experts help startups [video series]
Watch UX experts help startups [video series]
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
40%40% predicted probability of success on BetaList, based on ML models trained on real launch data.
34%34% 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.
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
EZlauncher47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We help startups to get noticed!
A
A marketplace of vetted VC experts to help startups fundraise faster44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A marketplace of vetted VC experts to help startups fundraise faster
Gr
Growth hacks and UX for startups43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Growth hacks and UX for startups
Help By Experts69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask verified experts
Li
Lisp in C Tutorial Series56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lisp in C Tutorial Series
B.M.W15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
7is series BMW SUV
techshek39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meetups Series
Vi
Video Series on System Design30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Video Series on System Design
Brutal49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Qualitative video feedbacks for startups.
Fund BMC37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An inspirational video series about people building startups