Dyad
by Dyad · Local, open-source desktop AI app builder
BenchRank score
Screenshots of Dyad
Homepage
Overview
Dyad is a desktop app builder that turns a written description into a working web app. It runs locally, uses API keys you supply for models from OpenAI, Anthropic, Google, Ollama and others, and produces code you can export or import. It connects to Supabase for database, auth and server functions, and publishes to GitHub, Vercel or your own cloud.
- Best for
- Builders who want to generate web apps locally with their own AI model keys and keep the code
- Pricing
- Free open-source tier using your own API key; Dyad Pro $20/month with 200 AI credits, Dyad Max $79/month with 900 AI credits.
- Runs on
- macOSLinux
Strengths and trade-offs
Strengths
- Runs on your machine; code can be exported or imported anytime
- Works with OpenAI, Anthropic, Google, Ollama and LM Studio
- Open source, free download for macOS and Windows, no sign-up
- Connects to Supabase, GitHub and Vercel, and to MCP servers
Trade-offs
- Free tier needs your own API key, so model costs sit with you
- Paid plans cap credits at 200/month (Pro) and 900/month (Max)
- Downloads shown for macOS and Windows only; no Linux build listed
- Code may be forked only for personal or non-competing use
How Dyad markets itself
A structured read of the promise, proof and page design on Dyad’s captured homepage.
Homepage capture
“The open-source AI app builder on your desktop”
- Angle: Open source / ownership
- Hero: Product screenshot
Pricing
Published plans and prices from Dyad’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Dyad pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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