ChurnFast
Indie HackersChurnFast detects at-risk customers before they leave, so yo
While digging into my own Stripe data and acquisition channels, I noticed something frustrating. I could see where paying customers came from — but I had no way of knowing which of them were about to leave.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: stripe · Missing: mac, agents, macos57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released47%47% 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, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto29%29% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ga
Gara, the chatroom that leave nothing behind32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Gara, the chatroom that leave nothing behind
Hacker News2Perception of Risk and Reward16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Perception of Risk and Reward
Indie HackersWh
Why I share my failure at the risk of losing customers52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why I share my failure at the risk of losing customers
Hacker News15ReviewGro49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Help more customers leave Google reviews with a simple revie
Indie Hackerscommitment-full-timenstop18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Know when to leave, not when trains depart
Indie Hackers1ai
btw
Delight your customers
BetaListId
Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Identifying, Segmenting and Contacting our Customers
Hacker News11Ou
Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our first three featured customers
Hacker News3Co
Covid-19 Risk Estimation Tool34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Covid-19 Risk Estimation Tool
Hacker News5Ma
Maximise Your Annual Leave – UK39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Maximise Your Annual Leave – UK
Hacker News3