Kliques
Indie HackersMaking transactions relational
I built this initially because I once wanted to get a haircut and the barber I reached out to had no booking platform where I could easily book his services. That made want to create a booking platform where independent
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews49%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 released41%41% 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, personal29%29% predicted probability of success on TrustMRR, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ma
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making explainability algorithms more robust with GANs
Hacker News2Ma
Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making a Cypherpunk Loot Derivative
Hacker News4Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making your standups more joyful with Zest
Hacker News4My
My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Q&A with Neal Stephenson on making the Metaverse himself
Hacker News5Ma
Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making IBANs More Memorable
Hacker News2Yo
Your Expensive Lawyer Is Making Mistakes64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Expensive Lawyer Is Making Mistakes
Hacker News13Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making of an HTML5 cube timelapse
Hacker News4thoughtfulcandles34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making mens candles!
Indie Hackers2contentMa
Making My Wink Relay Free Again48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making My Wink Relay Free Again
Hacker News3Managable43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making work Managable
Indie Hackers1ai