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InverSQL
Turn decision tree into SQL, matching cell selection, FOSS
Build SQL automatically matching what you selected, by overfitting decision trees (a machine learning algorithm), then break down the tree. Demo on streamlit.
“Turn decision tree into SQL, matching cell selection, FOSS”
InverSQL was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #53 on the daily leaderboard. Build SQL automatically matching what you selected, by overfitting decision trees (a machine learning algorithm), then break down the tree. Demo on streamlit.
On the analytics side, InverSQL competes within GitHub, Database, Data Science and Business Intelligence — topics that collectively have 50.8k followers on Product Hunt. The dashboard above tracks how InverSQL performed against the three products that launched closest to it on the same day.
Who hunted InverSQL?
InverSQL was hunted by RenChu Wang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of InverSQL including community comment highlights and product details, visit the product overview.
RenChu Wang