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VillageSQL = MySQL and Extensions

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INSTALL EXTENSION vsql-complex; CREATE TABLE t (val COMPLEX);Look, MySQL is awesome [flamewar incoming?]. But the ecosystem has stagnated. Why?No permissionless innovation. Postgres has flourished because people can change the core of the database (look at pgvector and pg_textsearch), without having to get their changes accepted upstream.(This, btw, is what powered GitHub's early success: you can fork a repo and make changes without needing the owners' approval)VillageSQL is a tracking fork of MySQL (open source, ofc) that adds an extension framework: * Drop-in replacement* Add custom data types and functions (with indexes coming soon)* we wrote example extensions (vsql-ai, -uuid, crypto, etc.)* you have a better idea for an extension* my CEO submitted a Show HN post but linked to the announcement blog; help me show him hackers want code first* I'm particularly proud of the friendly C++ API to add custom functions (in func_builder.h)That link again is https://github.com/villagesql/villagesql-server(Oh, and I get to work with the former TL of Google's BigTable and Colossus, so we care about doing databases Right)

HN · launched Feb 5, 2026 · 27 upvotes (top 27%) · 1 view

Niche: database management systems and engines · 162 launches, 5 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No Creating a modular dynamic extension architecture and engine fork for MySQL requires deep systems programming expertise in the MySQL/C++ core.

What it would actually take: A developer must fork MySQL's C++ codebase, rewrite or hook into the query parser, planner, storage engine interface, and type subsystem to support dynamic shared-library loading (similar to PostgreSQL's PG_MODULE_MAGIC and extension API). The hardest technical challenges are creating stable ABI/API hooks into MySQL's tightly coupled internal data structures, managing memory safely across plugin boundaries, and maintaining full transactional safety and replication compatibility with upstream MySQL updates.

Discussion

6 comments analyzed.

Competitors mentioned: MariaDB

Concerns raised: Risk of generating millions of rows from incorrect queries, Risk of sending millions of LLM API requests unintentionally, MySQL ecosystem fragmentation

Feature requests: Query safety limits or guardrails, Cost controls for LLM API usage

Competitors

Other products that read as similar to this one : 258 launches clear the similarity bar, closest 8 shown.

Attention rank: #91 of 259 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 98 days after the earliest competitor.

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