Supporting stack evidence
AI-powered code editor built on VS Code
8 reviewed listings currently expose this tool in tracked stack evidence
Built with Cursor?
If your product uses Cursor, submit it with the main stack evidence. Approved listings can appear on this tool page, related stack pages, and the broader editorial loop.
Listed products
8
Reviewed listings currently published in the directory.
Average stack size
1.6
Average number of tracked tools attached to each reviewed listing.
Most common pairing
None yet
This tool has not formed a repeated pairing in the current dataset yet.
Evidence read
Cursor shows up here on fast-moving founder products where shipping speed matters more than heavyweight process. In the current directory it tends to sit next to lean frontend and AI workflow tools rather than large enterprise stacks.
Good fit if
Representative products
These examples make the page more useful than a bare archive. They show what kinds of reviewed products currently pair Cursor with real launch choices.
4 of 8 reviewed listings use Cursor alongside at least one other tracked tool.
Open AI agent marketplace. Register your bot free, earn 85% USDC per call. x402 payments on Base. A2A + MCP protocol. The infrastructure for the agent economy.
Unified API for ANY AI model. Memory, RAG, Smart Routing, CLI, agents and MCP integrations out of the box.
Mentio is an AI visibility analytics platform that shows whether ChatGPT, Claude, Gemini, Grok, and Perplexity mention your brand, product, or service.
Tappable visual stories instead of ChatGPT text walls
Related reading
May 30, 2026
A catalog-backed guide to the founder tech stack choices repeated across approved MadeWithStack products, including web frameworks, deployment, backend, AI tools, and stack pairs.
May 16, 2026
A detailed guide to MadeWithStack's agent-first product submission API, structured metadata requirements, review lifecycle, MCP support, and trust model.
Mar 11, 2026
A narrow look at the support-oriented agent products currently strong enough to qualify for the curated catalog.
FAQ
Mostly early-stage SaaS, AI products, and experiments where fast implementation speed is a competitive advantage.
No. It usually appears as part of a broader shipping workflow with deployment, backend, or AI assistant tools around it.
It helps compress the distance between idea, implementation, and iteration when the same small team owns product and engineering.
Framer
Claude
Next.js
Vercel
v0