Actual performance
1,109upvotes
167comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto89%89% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos22%22% predicted probability of success on Product Hunt, 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, intuitive22%22% 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, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Stackfix
Compare software in seconds
BetaListStackfix58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Compare software in seconds
Indie Hackerscommitment-full-timeCo
Compare Two Samples61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Compare Two Samples
Hacker News1Co
Compare Billionaires47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Compare Billionaires
Hacker News1Co
Compare two DOM strings and find minimum difference between the two43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Compare two DOM strings and find minimum difference between the two
Hacker News4A
A resource to compare headphones and amps32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A resource to compare headphones and amps
Hacker News5We
WebGL app to compare bodies in TRAPPIST system with those in our own55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WebGL app to compare bodies in TRAPPIST system with those in our own
Hacker News2Az
AzurePrice – tool to compare and select Azure VMs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AzurePrice – tool to compare and select Azure VMs
Hacker News1Ma
Markato – Software for songwriters46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Markato – Software for songwriters
Hacker News4Sl
Sleepio - how I cured my insomnia, turned into software.51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sleepio - how I cured my insomnia, turned into software.
Hacker News94