
Visual Whiteboard → Schema Builder
Turn whiteboard drawings & text into SQL & Prisma schemas
What it does
Turn your database designs from drawings to production code in seconds. 🎨 Sketch a schema on a whiteboard, paste a crop, or describe it in English. 🤖 Powered by Gemini 3.1 Pro to automatically structure relationships, datatypes, and tables. 📁 Instantly copy or download clean, dependency-ordered Postgres DDL and Prisma models. 🔍 Preview ER diagrams interactively with live Mermaid.js rendering. 🔒 Privacy-first: no database storage, stateless, and custom keys allowed.
Does the same job
all alternatives →


- ODOnline database diagram editor2024 · github.com · ▲311
Hey all! I released drawDB about a month ago and now it's open source. I hope you find it useful. If you want to check out the app you can go to https://drawdb.vercel.app/ . Thank you:)
Drop a SQL schema, get an interactive ER diagram7d ago · mcdview.dev · ▲18Drop a model file — SQL, pgModeler, Prisma, MySQL Workbench and a dozen other formats — and get an interactive diagram, shareable through a single link.
- DGDbdot – Golang tool to help generate Postgres schema diagrams2019 · github.com · ▲119
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com