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DeepSQL

A self-hostable DBA agent for Postgres and MySQL

Details

External ID
48980286
Source
HN
Company
—
Product
DeepSQL
Website domain
deepsql.ai
Launched
July 20, 2026
Cohort
—
Upvotes
52
Upvotes percentile
0.8530465949820788
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN - I'm Venkat, founder of Stayflexi (YC), CMU CS grad and Ex-Oracle Query Engine team (patents in core databases)DeepSQL started as an internal tool to stop our own databases from becoming the bottleneck they were becoming (13,000+ hotels in production). It worked well enough that we're releasing it.DeepSQL is an AI agent that operates a database the way a senior DBA and Data Engineer would1. Fixes slow queries (we cutdown DB spend by 4x) 2. Fixes DB bloat (blocks unnecessary schema changes, in vibecoded setup) 2. BI dashboards(we removed spend on tableau, retool and appsmith) 3. Security (We could redact access to sensitive, PII data to our employees) while engaging everyone in the org to interact with our databaseHow it works 1. Deepsql learns your data and relationships from your code base, rules and query logs 2. Deepsql agent has 20 background jobs that continuously monitor the schema changes, bottlenecks, and come up with solutions before the problem arises. (Schema bloat issues are irreversible) 3. Deepsql Brain has CLI and MCP surfaces that can directly work with Claude / Codex and Cursor. 4. Deepsql digest delivers the daily database health report. 5. Your team can connect to deepsql with their favourate surface areas - Web UI, CLI, MCP or Slack.One line install: curl -fsSL https://install.deepsql.ai/install.sh | bashFor community support: https://discord.gg/duEJq7AeeGOr just email me for expert level setup guidance [email protected]

Enrichment

Theme
database infrastructure and developer tools
Vertical
—
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
dba agent for postgres and mysql
Manually corrected
False

Could you build this?

No Autonomous DBA agents require deep database internals knowledge, query engine execution plan analysis, index tuning algorithms, and fail-safe production safeguards that cannot be reliably vibe-coded.

What it would actually take: A production DBA engine requires an agentic runtime integrated deeply with Postgres/MySQL internal catalogs (pg_stat_statements, information_schema, performance_schema, EXPLAIN ANALYZE cost trees). It requires automated query rewriting heuristics, safe DDL migration pipelines (such as lock timeout detection and zero-downtime index creation via CONCURRENTLY), and automated rollback mechanisms. Building this requires senior database engineers and query engine specialists who understand isolation levels, concurrency locks, and optimizer behaviors.

Discussion

20 comments analyzed.

Competitors mentioned: Claude Code with database access, pganalyze, Percona Toolkit (pt-query-digest)

Concerns raised: Schema and query data sent to DeepSQL's shared OpenAI infrastructure, not private, User churn risk after initial index fixes and performance gains realized, Requires Docker for installation, No benchmark data on accuracy vs. rule-based query optimization tools, Product maturity concerns and lack of detailed technical documentation

Feature requests: Bring-your-own-key (BYOK) support for enterprise deployments, Support for schema drift detection and agent adaptation to Agentic Era, GitHub repository with detailed implementation examples

Competitors

Other products that read as similar to this one — 199 launches clear the similarity bar, closest 8 shown.

Attention rank: #42 of 200 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 262 days after the earliest competitor.

Other launches for this product