TasteBud
Indie HackersThe Tinder of choosing what to eat.
I hate choosing what to eat and have a short attention span.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto88%88% 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 · Strong signals: io · Missing: https docs, excited, just released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos40%40% 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, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting29%29% 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.
Correct prediction on native model
Similar products
A
A Tinder-style app for deciding where to eat43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Tinder-style app for deciding where to eat
Hacker News2Ho
How to Eat That Frog35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to Eat That Frog
Hacker News6Ea
Eat Your Greens35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Eat Your Greens
Hacker News1Cr
CrushVote – Tinder for the US presidential election39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CrushVote – Tinder for the US presidential election
Hacker News2No
Nosy – Imgur for Tinder and texting69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nosy – Imgur for Tinder and texting
Hacker News4Ti
Tinder for Clothing62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Clothing
Hacker News15Ta
Tastebuds: Tinder for Concerts62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tastebuds: Tinder for Concerts
Hacker News1Hi
Hinder – Tinder for HN65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hinder – Tinder for HN
Hacker News1Ti
Tinder for Netflix with AngularJS/Ionic63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Netflix with AngularJS/Ionic
Hacker News7Ti
Tinder for Uber72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinder for Uber
Hacker News6