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
HeliosDB-Nano
Nano database with Vectors, Data Branching & Time‑Travel
HeliosDB-Nano is a single 32MB embedded SQL database with native PostgreSQL & MySQL wire‑protocol compatibility, built‑in vector search (HNSW + PQ), full‑text search, git‑like branching, and time‑travel queries. It runs anywhere — local‑first apps, edge devices, AI agents, or serverless. No migrations, no drivers to rewrite. Use psql, mysql, REST, or any ORM — everything just works.
Hey Product Hunt! We built HeliosDB-Nano because modern apps - especially AI‑powered and local‑first ones - need a database that’s fast, portable, and powerful without requiring cloud dependencies. HeliosDB-Nano gives you Postgres/MySQL compatibility, vector search, branching, time‑travel, and a built‑in BaaS layer in a tiny 32MB binary. Would love your feedback, ideas, and use cases!
Developers today juggle too many moving parts: a SQL database, a vector store, an auth service, a REST layer, and sometimes a proxy. We wanted a single embedded engine that could do all of this - locally, offline, or at the edge - without sacrificing SQL compatibility or performance.
Local‑first apps, AI agents, and edge workloads need a real database - not a toy key‑value store - but existing SQL engines are either too heavy, too limited, or lack vector search. We wanted a production‑grade SQL engine that works anywhere, speaks Postgres/MySQL, and includes modern features like vectors, FTS, branching, and time‑travel.
HeliosDB-Nano started as a lightweight embedded engine, but developers kept asking for Postgres/MySQL compatibility, vector search, and a built‑in BaaS layer. Instead of bolting features on, we redesigned the engine around RocksDB, Arrow, HNSW, and a unified wire‑protocol layer. The result is a tiny binary that behaves like a full database server.
About HeliosDB-Nano on Product Hunt
“Nano database with Vectors, Data Branching & Time‑Travel”
HeliosDB-Nano was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #116 on the daily leaderboard. HeliosDB-Nano is a single 32MB embedded SQL database with native PostgreSQL & MySQL wire‑protocol compatibility, built‑in vector search (HNSW + PQ), full‑text search, git‑like branching, and time‑travel queries. It runs anywhere — local‑first apps, edge devices, AI agents, or serverless. No migrations, no drivers to rewrite. Use psql, mysql, REST, or any ORM — everything just works.
On the analytics side, HeliosDB-Nano competes within Developer Tools, Artificial Intelligence, GitHub and Database — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how HeliosDB-Nano performed against the three products that launched closest to it on the same day.
Who hunted HeliosDB-Nano?
HeliosDB-Nano was hunted by Dani Moya. 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 HeliosDB-Nano including community comment highlights and product details, visit the product overview.
Dani Moya
Hey Product Hunt! We built HeliosDB-Nano because modern apps - especially AI‑powered and local‑first ones - need a database that’s fast, portable, and powerful without requiring cloud dependencies. HeliosDB-Nano gives you Postgres/MySQL compatibility, vector search, branching, time‑travel, and a built‑in BaaS layer in a tiny 32MB binary. Would love your feedback, ideas, and use cases!
Developers today juggle too many moving parts: a SQL database, a vector store, an auth service, a REST layer, and sometimes a proxy. We wanted a single embedded engine that could do all of this - locally, offline, or at the edge - without sacrificing SQL compatibility or performance.
Local‑first apps, AI agents, and edge workloads need a real database - not a toy key‑value store - but existing SQL engines are either too heavy, too limited, or lack vector search. We wanted a production‑grade SQL engine that works anywhere, speaks Postgres/MySQL, and includes modern features like vectors, FTS, branching, and time‑travel.
HeliosDB-Nano started as a lightweight embedded engine, but developers kept asking for Postgres/MySQL compatibility, vector search, and a built‑in BaaS layer. Instead of bolting features on, we redesigned the engine around RocksDB, Arrow, HNSW, and a unified wire‑protocol layer. The result is a tiny binary that behaves like a full database server.