Tempo Labs vs Same.new

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

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

Same.new

🟡Low Code

AI App Builders

Same.new review for teams evaluating AI UI generation, fast front-end prototypes, pricing uncertainty, pros, cons, and alternatives.

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Starting Price

Custom

Feature Comparison

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FeatureTempo LabsSame.new
CategoryAI App BuildersAI App Builders
Pricing Plans97 tiers74 tiers
Starting Price
Key Features
  • Prompt-driven app and interface generation positioning
  • Product workflow framed around prompting, developing, designing, and collaborating
  • Best suited for early UI prototypes, product slices, landing pages, and internal tools

    Tempo Labs - Pros & Cons

    Pros

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

    Cons

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

    Same.new - Pros & Cons

    Pros

    • Can shorten first-pass UI exploration and stakeholder review cycles
    • Good candidate for founders and product teams testing interface direction
    • Useful when a visual prototype beats a long written specification
    • Pairs naturally with app builders and developer handoff workflows

    Cons

    • Pricing and current feature details could not be verified from shell fetches
    • Generated UI may require accessibility, responsive, and design-system cleanup
    • Backend, auth, data modeling, and security requirements need separate work
    • Prototype quality can look polished while hiding edge cases

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