Ax
Axiom SQL-Reflex – Execution-aware multi-agent Text-to-SQL system
Hacker NewsAxiom SQL-Reflex – Execution-aware multi-agent Text-to-SQL system
Hi HN, I built a fully local, execution-aware multi-agent Text-to-SQL system as a learning/research project. It uses schema grounding (graph-based), multi-model SQL generation, execution sandboxing, and semantic validation instead of relying on prompting alone. Evaluated honestly on Spider: • ~55% accuracy on single DB • ~34% cross-DB zero-shot No APIs, no fine-tuning, everything runs locally. Would appreciate feedback on the architecture and evaluation.
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, model, single · Missing: mac, agents, macos75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue23%23% 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, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
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 News1Ba
Baldrick. Your SQL Dogsbody64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Baldrick. Your SQL Dogsbody
Hacker News2SQ
SQL Polyglot63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SQL Polyglot
Hacker News53ca
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