Upgrade Testing
Indie HackersUser testing for your app after each upgrade you make.
To earn my independence as an indie hacker.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos66%66% 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, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Us
User Testing V/s Usability Testing41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User Testing V/s Usability Testing
Hacker News2A
A django-app for AB Testing30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A django-app for AB Testing
Hacker News3Us
User Testing Marketplace – find user testing participants in the US36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
User Testing Marketplace – find user testing participants in the US
Hacker News2Fu
Fuzzpy, a fuzzer for testing CPython33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fuzzpy, a fuzzer for testing CPython
Hacker News6rs
rspec-snapshot – RSpec snapshot testing24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
rspec-snapshot – RSpec snapshot testing
Hacker News1A/
A/B Testing for Rails34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A/B Testing for Rails
Hacker News7Cl
Clustered VM Testing How-To45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clustered VM Testing How-To
Hacker News1Ch
ChefSpec – RSpec testing for Chef Cookbooks33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChefSpec – RSpec testing for Chef Cookbooks
Hacker News3A/
A/B testing baked into RequireJS33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A/B testing baked into RequireJS
Hacker News1A/
A/B testing in Golang with PlanOut30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A/B testing in Golang with PlanOut
Hacker News8