bolt.diy vs Tempo Labs

Detailed side-by-side comparison to help you choose the right tool

bolt.diy

πŸ”΄Developer

AI App Builders

bolt.diy is the open-source, community-driven fork of Bolt.new from StackBlitz Labs β€” 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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Starting Price

Custom

Tempo Labs

🟑Low Code

AI App Builders

an AI product workspace for product managers, designers, and engineers to plan, design, prompt, and build software with Docs, Canvas, Issues, Chat, and agent workflows.

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Starting Price

Custom

Feature Comparison

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Featurebolt.diyTempo Labs
CategoryAI App BuildersAI App Builders
Pricing Plans225 tiers97 tiers
Starting Price
Key Features
  • β€’ Prompt-based full-stack web application generation
  • β€’ Run, edit, and deploy workflow for web apps
  • β€’ Works with user-selected LLMs
  • β€’ Prompt-driven app and interface generation positioning
  • β€’ Product workflow framed around prompting, developing, designing, and collaborating
  • β€’ Best suited for early UI prototypes, product slices, landing pages, and internal tools

bolt.diy - Pros & Cons

Pros

  • βœ“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.
  • βœ“Forked from stackblitz/bolt.new, so it targets the same prompt-run-edit-deploy workflow rather than a generic chatbot coding interface.
  • βœ“Designed around user-selected LLMs, which gives technical teams more flexibility than app builders tied to a single model provider.
  • βœ“The repository is public, so developers can inspect the code, fork it, and adapt the implementation to their own infrastructure.
  • βœ“The project shows active development signals with 77 issues and 39 pull requests visible on the GitHub page in the 2026-06-15 capture.
  • βœ“Best suited for developers who want more control over their AI app builder stack than hosted-only products usually allow.

Cons

  • βœ—No hosted product or managed onboarding is visible in the provided website content, so users should expect a developer-led setup process.
  • βœ—The GitHub page shows 77 issues and 39 pull requests, which can mean users may encounter unresolved bugs or fast-moving changes.
  • βœ—Pricing for model usage, hosting, and deployment is not published on the repository page, so total cost depends on the user’s own setup.
  • βœ—Non-technical users may find it harder to use than hosted AI app builders because the primary website is a GitHub repository.
  • βœ—Commercial support, enterprise SLAs, and managed security documentation are not visible in the provided website content.

Tempo Labs - Pros & Cons

Pros

  • βœ“Combines product specs, design canvas, issue tracking, and coding-agent chat in one workspace
  • βœ“Concrete free tier includes 100 AI messages, 10 team members, 250 Kanban issues, and 50 docs
  • βœ“Canvas is tied to live routes or React components instead of only static mockups
  • βœ“Isolated git worktrees are a practical safeguard for agent-driven coding experiments
  • βœ“Team plan pricing is transparent in the fetched pricing asset at $20 per seat per month

Cons

  • βœ—Still needs human code review, tests, accessibility review, and design-system governance
  • βœ—Best fit appears React/frontend-centered; backend-heavy or non-React teams may see less value
  • βœ—Agent+ is expensive at $4,500/month and should be justified against contractor or internal-team cost
  • βœ—Pricing was found in a JavaScript asset rather than plain static HTML, so buyers should re-check before purchase
  • βœ—May overlap with Figma, Jira, GitHub, v0, Bolt.new, or existing coding-agent workflows

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