PlugThis vs bolt.diy
Detailed side-by-side comparison to help you choose the right tool
PlugThis
🟢No CodeAI App Builders
AI Chrome extension builder: describe what you want in chat and PlugThis generates a complete, installable Manifest V3 Chrome extension in about two minutes, with real Supabase backends and OpenAI/Anthropic/Gemini models built in.
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Custombolt.diy
🔴DeveloperAI App Builders
bolt.diy is the open-source, community-driven fork of Bolt.new from StackBlitz Labs — letting developers prompt, run, edit, and deploy full-stack web applications using any LLM they choose (OpenAI, Anthropic, Gemini, DeepSeek, Ollama, Groq, and more) on infrastructure they control.
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CustomFeature Comparison
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PlugThis - Pros & Cons
Pros
- ✓Purpose-built for Chrome extensions — Manifest V3, popup, background, and content scripts wired up automatically, no boilerplate.
- ✓Real Supabase backend integration (Postgres, auth, edge functions) means you can ship accounts and stored data, not just popup UI.
- ✓You own 100% of the source code — cancel the subscription and the extension is still yours to keep, modify, and re-publish.
- ✓Cheap entry: Starter at $9.99/month is real (not a marketing decoy), and cancel-anytime removes the usual SaaS commitment.
- ✓Priority support on Builder includes a video call when you get stuck on debugging or Chrome Web Store listing — actually useful for non-coders.
Cons
- ✗Chrome only — no Firefox, Edge (beyond Chromium compatibility), or Safari packaging.
- ✗AI models are 'bring your own key,' so API cost from OpenAI/Anthropic/Gemini is on top of the subscription.
- ✗No MCP support, so you can't drive PlugThis from an MCP host or expose the builder itself as a tool.
- ✗Extension caps by plan (1 on Starter, 3 on Builder) mean agencies with many small client extensions will burn through plans fast.
bolt.diy - Pros & Cons
Pros
- ✓Public GitHub template with strong community signal: 19.5k stars and 10.4k forks were visible on the repository page in the 2026-06-15 capture.
- ✓Forked from stackblitz/bolt.new, so it targets the same prompt-run-edit-deploy workflow rather than a generic chatbot coding interface.
- ✓Designed around user-selected LLMs, which gives technical teams more flexibility than app builders tied to a single model provider.
- ✓The repository is public, so developers can inspect the code, fork it, and adapt the implementation to their own infrastructure.
- ✓The project shows active development signals with 77 issues and 39 pull requests visible on the GitHub page in the 2026-06-15 capture.
- ✓Best suited for developers who want more control over their AI app builder stack than hosted-only products usually allow.
Cons
- ✗No hosted product or managed onboarding is visible in the provided website content, so users should expect a developer-led setup process.
- ✗The GitHub page shows 77 issues and 39 pull requests, which can mean users may encounter unresolved bugs or fast-moving changes.
- ✗Pricing for model usage, hosting, and deployment is not published on the repository page, so total cost depends on the user’s own setup.
- ✗Non-technical users may find it harder to use than hosted AI app builders because the primary website is a GitHub repository.
- ✗Commercial support, enterprise SLAs, and managed security documentation are not visible in the provided website content.
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