De
Actual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →93%93% 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.
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mad Dev Series17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blog about bootstrapping as a noob
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
In
Interview Terminator34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interview Terminator
In
Interview with Dave McClure, 500Startups34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interview with Dave McClure, 500Startups
IS
ISSforAPUSH is conducting an "aggregated interview"50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ISSforAPUSH is conducting an "aggregated interview"
Successfulmakers29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Interview for entreprenuers
The Debrief43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your interview, debriefed.
Ha
Haphead, a concept trailer for a web series I produced42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Haphead, a concept trailer for a web series I produced