RankSurf
Indie HackersSee when AI mentions your brand and what to fix when it does
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% 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 released29%29% 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, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
CabbageSEO55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Check if AI mentions your business. Fix it if not.
Indie Hackerscommitment-full-timeMe
Mentionkit – Track your brand mentions across LinkedIn, X and more28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mentionkit – Track your brand mentions across LinkedIn, X and more
Hacker News2Th
This AI Does Not Exist58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This AI Does Not Exist
Hacker News434Pallix4%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find out how ChatGPT describes your brand, then fix it.
Indie Hackersemployees-0Tr
Truck Does Not Exist73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Truck Does Not Exist
Hacker News3Th
This Dick Does Not Exist73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This Dick Does Not Exist
Hacker News25Th
This Wojak Does Not Exist73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This Wojak Does Not Exist
Hacker News30Mo
Mountain Does Not Exist73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mountain Does Not Exist
Hacker News7Th
This Synth Does Not Exist73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This Synth Does Not Exist
Hacker News2Ho
How many seasons does Melbourne (VIC) have?45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How many seasons does Melbourne (VIC) have?
Hacker News1