Ape Chirp
Indie HackersShare links, vote, comment... no algorithms in the feed!
Fun experiment to see how fast I could launch an app. And see where it goes, keep tweaking or drop it for another idea.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos41%41% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto28%28% 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, revenue21%21% 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, podcasting16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Correct prediction on native model
Similar products
Ku
Kullish – Bring your own links (BYOL) comment aggregation35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Kullish – Bring your own links (BYOL) comment aggregation
Hacker News7HN
HN front page sorted by vote:comment ratio50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN front page sorted by vote:comment ratio
Hacker News4Ye
YesNo.vote48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YesNo.vote
Hacker News1Vo
Vote From Bangalore48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vote From Bangalore
Hacker News2Sh
Show HN : Pledge to Vote52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : Pledge to Vote
Hacker News1FullPAC32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get Out The Vote
Indie Hackerscommitment-full-timeVotenandi18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Vote your leader digitally
Indie HackersOp
OpIn – Comment Anywhere33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpIn – Comment Anywhere
Hacker News2TL
TL;DR for every comment on HN44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TL;DR for every comment on HN
Hacker News1WT
WTF? Vote Share ridiculous political videos with your friends36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WTF? Vote Share ridiculous political videos with your friends
Hacker News2