Al
AlterQ – Parse SQL statements as strings in cpp
Hacker NewsAlterQ – Parse SQL statements as strings in cpp
Share cardActual performance
1points
1comments
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 · Missing: https docs, excited, just released48%48% 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, personal32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, revenue18%18% 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, podcasting18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ke
KeywordSQL – Elagantly write SQL statements within your source code59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KeywordSQL – Elagantly write SQL statements within your source code
Hacker News3Ru
Run SQL statements on XML59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run SQL statements on XML
Hacker News11Ph
Phantom for Cassandra, now with prepared statements48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Phantom for Cassandra, now with prepared statements
Hacker News2Lo
Logidiff – determine if two or more logical statements are equivalent50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Logidiff – determine if two or more logical statements are equivalent
Hacker News2lo
logidiff – determine if two or more logical statements are equivalent50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
logidiff – determine if two or more logical statements are equivalent
Hacker News4Fi
FizzBuzz in C, without conditional statements48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FizzBuzz in C, without conditional statements
Hacker News2text2sql40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generate SQL statements from text using AI
Indie Hackerscommitment-side-projectI
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 News2ca
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