SQ
Actual performance
6points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% 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 NewsStrong engagement from HN community · Missing: https docs, excited, just released62%62% 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 · Strong signals: users · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive25%25% predicted probability of success on AppSumo, 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.
Incorrect prediction on native model
Similar products
I
I built an Excel plugin for the SQL enthusiast56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built an Excel plugin for the SQL enthusiast
Hacker News4Fu
Fun with SQL inside Excel78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fun with SQL inside Excel
Hacker News6I
I Solved N Queens in SQL56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Solved N Queens in SQL
Hacker News2Li
Lithium::SQL C++17, Header Only MySQL and SQLite Connectors and ORM76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lithium::SQL C++17, Header Only MySQL and SQLite Connectors and ORM
Hacker News2Go
Go Fearless SQL67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go Fearless SQL
Hacker News3Mo
Mongita is to MongoDB as SQLite is to SQL77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mongita is to MongoDB as SQLite is to SQL
Hacker News126SQ
SQL Basics59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SQL Basics
Hacker News26Qu
Querying OpenAPI Definitions with SQL59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Querying OpenAPI Definitions with SQL
Hacker News1YA
YAML to SQL57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YAML to SQL
Hacker News1ca
can we get rid of SQL?67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
can we get rid of SQL?
Hacker News2