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).
Hey Product Hunt! I’m Vebri, the maker of QLineage.
I built it after repeatedly getting lost in long SQL queries with nested CTEs, subqueries, and dbt-style references. QLineage turns a pasted query into an interactive lineage graph, so it’s easier to understand dependencies and the blast radius of a change.
It runs locally in the browser: it doesn’t execute your query, connect to your warehouse, or send pasted SQL to an application server. Your data is still yours.
I’d love feedback on the SQL dialects and query patterns you work with, especially the cases where lineage tooling usually falls short.
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About QLineage on Product Hunt
“Query Lineage in a Simple Way”
QLineage was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #99 on the daily leaderboard. Paste or upload SQL to visualize CTEs, subqueries, dbt models, sources, joins, and column relationships in an interactive lineage graph.
QLineage was featured in Analytics (174.5k followers), Data & Analytics (6k followers) and Data (2.5k followers) on Product Hunt. Together, these topics include over 24.2k products, making this a competitive space to launch in.
Who hunted QLineage?
QLineage was hunted by Vebri. 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.
Want to see how QLineage stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vebri
Hey Product Hunt! I’m Vebri, the maker of QLineage.
I built it after repeatedly getting lost in long SQL queries with nested CTEs, subqueries, and dbt-style references. QLineage turns a pasted query into an interactive lineage graph, so it’s easier to understand dependencies and the blast radius of a change.
It runs locally in the browser: it doesn’t execute your query, connect to your warehouse, or send pasted SQL to an application server. Your data is still yours.
I’d love feedback on the SQL dialects and query patterns you work with, especially the cases where lineage tooling usually falls short.