This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
SQLwak
Learn SQL by working at a fictional Singapore bank
SQLwak is a free SQL learning game — no signup, no download. You're a Graduate Analyst at Lion City Bank (fictional Singapore bank) solving 57 real business SQL problems. Foundational → Intermediate (JOINs) → Advanced (CTEs) → Expert (window functions like RANK OVER PARTITION BY). 9-table schema: retail banking + a maritime trade finance division with vessels and cargo shipments across SE Asia. Built with Next.js 15 + SQLite via WebAssembly. All queries run client-side. Open source on GitHub.
I got tired of SQL practice resources that feel like homework. Every "learn SQL" site has you selecting employees from a made-up HR table with no story behind it.
SQLwak puts you inside a fictional Singapore bank as a Graduate Analyst. Your colleagues send you actual business requests — the Risk team needs a watchlist, Finance wants a vessel revenue ranking, Operations needs branch audit data.
The maritime trade finance division (vessels, cargo shipments across SE Asia) came from wanting the Expert levels to feel genuinely interesting, not just syntactically harder.
Everything runs client-side via SQLite/WASM — no backend, no signup, instant feedback. Would love to hear what SQL concepts you struggled most to learn!
About SQLwak on Product Hunt
“Learn SQL by working at a fictional Singapore bank”
SQLwak was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #101 on the daily leaderboard. SQLwak is a free SQL learning game — no signup, no download. You're a Graduate Analyst at Lion City Bank (fictional Singapore bank) solving 57 real business SQL problems. Foundational → Intermediate (JOINs) → Advanced (CTEs) → Expert (window functions like RANK OVER PARTITION BY). 9-table schema: retail banking + a maritime trade finance division with vessels and cargo shipments across SE Asia. Built with Next.js 15 + SQLite via WebAssembly. All queries run client-side. Open source on GitHub.
On the analytics side, SQLwak competes within Education, Developer Tools and GitHub — topics that collectively have 633.9k followers on Product Hunt. The dashboard above tracks how SQLwak performed against the three products that launched closest to it on the same day.
Who hunted SQLwak?
SQLwak was hunted by Martin. 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 SQLwak including community comment highlights and product details, visit the product overview.
Martin