Ne
Actual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →61%61% 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.
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
41%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.
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I wrote a book about Vavr and Java – Practical Vavr55%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 book about Vavr and Java – Practical Vavr
My
My new book Practical Combine40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My new book Practical Combine
I
I wrote a book on practical electronics design61%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 book on practical electronics design
I
I wrote a new LLVM Book59%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 new LLVM Book
a
a practical Lisp in C51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a practical Lisp in C
a
a practical introduction to Kryptos K1-K3 brute-force decryption42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
a practical introduction to Kryptos K1-K3 brute-force decryption
Sp
Speck, a WebGL molecule renderer for attractive and practical figures50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Speck, a WebGL molecule renderer for attractive and practical figures
I
I wrote a book about Practical Python Projects64%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 book about Practical Python Projects
li
liveBook – Manning Publications' new book platform59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
liveBook – Manning Publications' new book platform
SINMODE41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A practical approach to sinusoidal data