Ge
Get crowdsourcing style feedback on your product
Hacker NewsGet crowdsourcing style feedback on your product
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · 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, personal50%50% 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 released41%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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto25%25% 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, revenue19%19% 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, podcasting18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fr
Free, brutal feedback on your product46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Free, brutal feedback on your product
Hacker News2Symposium53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All Of Your Product Feedback In One Place
Indie Hackers1b2b
Fidibeki37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Product feedback that finishes the job
Product Hunt+3un
unicode.style39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
unicode.style
Hacker News125Im
Implementing Promise, Functional Style48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Implementing Promise, Functional Style
Hacker News2Ex
Extensible STL style containers, iterators and algorithms in C52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extensible STL style containers, iterators and algorithms in C
Hacker News3Mo
MobX-Style Observables in Svelte43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MobX-Style Observables in Svelte
Hacker News8C#
C# k&r style editorconfig42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
C# k&r style editorconfig
Hacker News1vb
vbang2 – DDG-Style Bangs with Customizations42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
vbang2 – DDG-Style Bangs with Customizations
Hacker News4Cl
Clerb. ERB-style Clojure templating48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clerb. ERB-style Clojure templating
Hacker News3