Churn

Churn

BetaList

Automates the insight into your user growth

Share card

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
51%51% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
43%43% predicted probability of success on BetaList, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Similar products

[INFOGRAPHIC]
[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

Indie Hackerscommitment-full-time
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

Hacker News1
Sh
SherpaShare – get insight of ridesharing33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SherpaShare – get insight of ridesharing

Hacker News4
Noryn
Noryn34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Insight through archetypes

Indie Hackers1ai
Usetiful
Usetiful15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fight user churn with great user onboarding

Indie Hackerscommitment-side-project
Exeechain
Exeechain46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Know who's about to churn, before they go

Indie Hackers1$6,000/mob2b
Visitqo
Visitqo54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn Every Visit Into Insight.

Indie Hackerscommitment-full-time
Crush Your Churn
Crush Your Churn31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Take a Churn Crusher quiz or grab the Crush Your Churn guide

Indie Hackerscommitment-full-time
Alvis
Alvis33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prevent User Churn Using Predictive Algorithm

Indie Hackers2ai
Us
User Growth Bootcamp for Startups41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

User Growth Bootcamp for Startups

Hacker News2