Li
Live Ask – Ask live questions at meetups
Hacker NewsLive Ask – Ask live questions at meetups
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto93%93% 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, macos65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ruby71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask better questions, live on every call
Product Hunt+130ProductivityQu
Ques ( commentary on some questions from Ask HN )47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ques ( commentary on some questions from Ask HN )
Hacker News2QM
QME – Ask, Poll and Share Questions39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
QME – Ask, Poll and Share Questions
Hacker News1As
AskNews – ask questions about recent news46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AskNews – ask questions about recent news
Hacker News5Thoughtcatcher48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask questions to your brain dump
Indie Hackerscommitment-side-projectNe
Never ask someone more than once to do something - iPrompted41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Never ask someone more than once to do something - iPrompted
Hacker News16Fl
FlyerMe - AdSense didn't approve so ask you all to dissect it40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FlyerMe - AdSense didn't approve so ask you all to dissect it
Hacker News2As
Ask and Tally41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask and Tally
Hacker News1As
Ask the NSA37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ask the NSA
Hacker News68On
OneForty – Ask anyone anything41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OneForty – Ask anyone anything
Hacker News2