Ti
Tired of Lorem Ipsum, I made my own generator with badass movie quotes
Hacker NewsTired of Lorem Ipsum, I made my own generator with badass movie quotes
Share cardActual performance
18points
7comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive51%51% predicted probability of success on AppSumo, 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 · Missing: https docs, excited, just released39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto33%33% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos7%7% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Qu
Quotes illustrated as pictograms34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quotes illustrated as pictograms
Hacker News1St
Storing and Analyzing 160 billion Quotes in ClickHouse58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Storing and Analyzing 160 billion Quotes in ClickHouse
Hacker News8Ha
Hackernews for Quotes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hackernews for Quotes
Hacker News7Py
PyQuote – Beautify your quotes34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PyQuote – Beautify your quotes
Hacker News2A
A heuristic for movie influences49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A heuristic for movie influences
Hacker News2IM
IMDb Movie Streamer51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
IMDb Movie Streamer
Hacker News6Or
OracleMovies, OpenSea for Movie Rights51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OracleMovies, OpenSea for Movie Rights
Hacker News3Th
TheReelBox, find tonight's movie51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TheReelBox, find tonight's movie
Hacker News81Cl
Clipzy – Dialogue grep for any show or movie49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clipzy – Dialogue grep for any show or movie
Hacker News1
AiMovieFinder24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find a movie by describing it
Product Hunt+7