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).
I wanted to use SurrealDB, but I would have had to relearn their proprietary language, so I decided to build my own multi-model database that’s compatible with PostgreSQL and Neo4J without having to relearn anything.
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About AionDB on Product Hunt
“Database, Graph, Vector, Rag, AI, SQL”
AionDB was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #100 on the daily leaderboard. AionDB is a PostgreSQL-compatible multimodal database in Rust that combines relational records, graph relationships, and vector search in one engine.
AionDB was featured in GitHub (41.2k followers) and Database (2.1k followers) on Product Hunt. Together, these topics include over 22.3k products, making this a competitive space to launch in.
Who hunted AionDB?
AionDB was hunted by Ayoub Nabil. 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 AionDB stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ayoub Nabil