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).
NexQL is a PostgreSQL extension for VS Code combining a full database toolkit — tree explorer, SQL notebooks, visual designers, live dashboards. Every suggestion lands in a notebook cell for you to review and run. Production connections default to read-only, with risk scoring and environment tagging. Free AI models included, no API key needed. MCP model for advanced tooling with Copilot / Claude / Antigravity / Cursor / etc. Core is free and MIT-licensed.
AI that's leashed, not autonomous
Every AI-generated SQL lands in a notebook cell first — nothing executes without you hitting run. No agent loop that quietly writes to prod.
Free, zero-config AI — no API key, no provider account, built-in model behind a managed gateway.
Bring-your-own-model too — OpenAI, Anthropic, Gemini, Copilot, or local Ollama/LM Studio. Not locked to one vendor.
Safety is structural, not a setting
Environment tagging (PROD/STAGING/DEV) with ambient chrome tinting (Sentinel) — you can tell what you're connected to without reading text.
Production connections default to read-only; risky writes require explicit confirmation.
Query risk scoring with a status bar indicator, before the query runs — not after it fails.
Auto-LIMIT + hard 10k row cap prevent accidental full-table scans from freezing the UI.
Agentic, and grounded
The AI can autonomously look up your live schema, run EXPLAIN, trace FK join paths, and check index health — multi-turn tool calling, not single-shot prompting.
Built-in MCP server exposes the same read-only toolset to external agents (Copilot, Claude Desktop, Cursor) — with schema-grounding instructions injected so agents don't hallucinate table names.
Notebook-first, not query-window-first
.pgsql notebooks persist state across cells — you build a working session, not a disposable scratch pad.
Inline results, charts, and exports live next to the query that produced them.
Depth most competitors skip entirely
Visual, AI-assisted Row-Level Security Policy Studio.
Migration Hub auto-detects Prisma, Drizzle, Alembic, Flyway, Atlas, Knex, Rails, golang-migrate in your workspace.
Table Intelligence — profile, activity monitor, index usage, bloat detection — not just a schema browser.
Native, and actually free
Lives inside VS Code — no separate app, no context switch.
Core is MIT-licensed and never feature-gated; paid tiers lift daily caps, they don't unlock safety or AI.
An AI-native Postgres toolkit right inside VS Code sounds fantastic — love that suggestions land in a notebook cell to review before running, and read-only defaults for prod. Congrats on the launch!
Congrats on the launch! NexQL looks super useful — bringing a full Postgres toolkit right into VS Code is a great idea. Wishing you a strong launch day!
The tree explorer plus the auto-notebook idea feels really natural, like I'm tinkering instead of fighting my editor. Read-only defaults for prod connections is a genuinely thoughtful touch more tools should copy.
About NexQL on Product Hunt
“AI-native Postgres tooling, All in VS Code”
NexQL was submitted on Product Hunt and earned 6 upvotes and 6 comments, placing #55 on the daily leaderboard. NexQL is a PostgreSQL extension for VS Code combining a full database toolkit — tree explorer, SQL notebooks, visual designers, live dashboards. Every suggestion lands in a notebook cell for you to review and run. Production connections default to read-only, with risk scoring and environment tagging. Free AI models included, no API key needed. MCP model for advanced tooling with Copilot / Claude / Antigravity / Cursor / etc. Core is free and MIT-licensed.
NexQL was featured in Productivity (658.2k followers), Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 371.9k products, making this a competitive space to launch in.
Who hunted NexQL?
NexQL was hunted by Richie Varghese. 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 NexQL stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Richie Varghese