Alvis
Prevent User Churn Using Predictive Algorithm
We built Alvis to predict which customers are more likely to churn for our own SaaS product Smiley so we can proactively engage with them. It works so well for us we decided to share it with others.
Share cardActual performance
2followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →86%86% 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.
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Na
Naive Bayes classification algorithm using Bernoulli and Multinomial41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Naive Bayes classification algorithm using Bernoulli and Multinomial
Us
Using Genetic Algorithm to Create Fractals57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using Genetic Algorithm to Create Fractals
A
A game using $P Recognizer algorithm52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A game using $P Recognizer algorithm
[INFOGRAPHIC]12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Churn Prevention Throughout The Cust
I
I build an algorithm to prevent jet lag when you fly overseas53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I build an algorithm to prevent jet lag when you fly overseas
Pr
Predict and model user churn and ROAS67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Predict and model user churn and ROAS
Cy
Cython implementation of DeepWalk algorithm46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cython implementation of DeepWalk algorithm
Il
Illustrated Quicksort algorithm50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Illustrated Quicksort algorithm
Di
Distributed Genetic Algorithm in Clojure70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Distributed Genetic Algorithm in Clojure
K-
K-means algorithm in Ruby56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
K-means algorithm in Ruby