Connect Postgres, MySQL, ClickHouse and PostHog once. Scope each role down to the row. Your team's agents work on live data and never see more than you allow.
Hey everyone 👋 We launched the valv library a while back. Today we're taking it all the way.
valv gives your agents access to all your data, safely, in seconds. No handing over credentials, no exposing a row they shouldn't see.
Connect Postgres, MySQL, ClickHouse and PostHog, scope every role down to the row, and let your whole team point their own MCP agent at live data.
The part we're most excited about: your coding agent can now build custom HTML dashboards straight from your data and share them across the platform, each with its own per-query permissions. Real dashboards, built by your agent, in minutes, locked down by default.
Take a look at https://valv.sh and use PRODUCTHUNT for 50% off your first 3 months.
Curious which data sources you'd connect, and what we should add support for next 🙏
Scoping agents down to the ROW is the right unit — table-level grants are way too coarse once agents run against live customer data. Curious about the failure mode though: when an agent's query touches rows outside its scope, do you filter silently or fail loudly? Silent filtering keeps things running but produces confidently-wrong answers on aggregates (the agent never knows its SUM is missing half the rows). How do you handle that trade-off? Congrats on the launch.
Database access for agents is where small mistakes get expensive. I would be curious how valv handles write operations: dry-run by default, schema-aware guardrails, or approval queues before anything mutates data?
the dashboard sharing part is what caught my attention. if my agent builds a dashboard off data i can see and shares it to a teammate with narrower row access, does the dashboard re-check permissions against the viewer at load time, or does it bake in whatever the builder could see at creation time
Giving agents scoped, safe query access to a database is exactly the missing piece in most agent-SDK stacks right now — most teams either hand over full DB creds or write a brittle custom proxy. Is the permission model row/column-level or table-level, and how do you handle write-adjacent operations (temp tables, CTEs with side effects) that could leak data even under read-only grants?
About valv on Product Hunt
“Your database, safe for agents to query”
valv launched on Product Hunt on July 23rd, 2026 and earned 74 upvotes and 9 comments, placing #31 on the daily leaderboard. Connect Postgres, MySQL, ClickHouse and PostHog once. Scope each role down to the row. Your team's agents work on live data and never see more than you allow.
valv was featured in SaaS (43.2k followers), Artificial Intelligence (474.3k followers), Data & Analytics (5.7k followers) and OpenAI Day (8 followers) on Product Hunt. Together, these topics include over 163.2k products, making this a competitive space to launch in.
Who hunted valv?
valv was hunted by Joshua Knauber. 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 valv stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Joshua Knauber
Hey everyone 👋
We launched the valv library a while back. Today we're taking it all the way.
valv gives your agents access to all your data, safely, in seconds. No handing over credentials, no exposing a row they shouldn't see.
Connect Postgres, MySQL, ClickHouse and PostHog, scope every role down to the row, and let your whole team point their own MCP agent at live data.
The part we're most excited about: your coding agent can now build custom HTML dashboards straight from your data and share them across the platform, each with its own per-query permissions. Real dashboards, built by your agent, in minutes, locked down by default.
Take a look at https://valv.sh and use PRODUCTHUNT for 50% off your first 3 months.
Curious which data sources you'd connect, and what we should add support for next 🙏