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Lazyweb vs Figr

Lazyweb vs Figr: Features, Pricing and Evidence

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A product-aware AI design agent: it ingests your screens, flows, design system, and docs, then generates Figma- and code-ready designs. Consider Figr when a product team wants an AI agent that learns your specific product context to generate UX artifacts and Figma/code-ready screens, then hands them to coding agents via MCP.

Updated June 2026

Use Lazyweb if

You want an agent-first design research library with 281k+ real app screens, app trees, Design.md-style app files, and screen-version history. Human browsing and MCP setup are free; non-Pro reports are partial and Pro reports are full. [20]

Use Figr if

Use Figr when a product team wants an AI agent that learns your specific product context to generate UX artifacts and Figma/code-ready screens, then hands them to coding agents via MCP.

Honest Comparison Table

CriterionLazywebFigr
Best for Use Lazyweb when deciding which onboarding, trial or monetization change to test in your product. [20]Use Figr when a product team wants an AI agent that learns your specific product context to generate UX artifacts and Figma/code-ready screens, then hands them to coding agents via MCP.
Pricing Human browse and MCP setup are free. Pro is $39/month for the complete toolkit except competitive tracking. Team is $99/month for up to five seats and competitive tracking. [23]Freemium — Free $0/mo (10 credits); Starter $39/mo (200 credits, 1 seat); Max $149/mo (1,000 shared credits, up to 3 seats); Enterprise custom. Credits are fractional and effort-based.
Library depth 281k+ real app screens across iOS apps and marketing pages. [20]Not a browsable screenshot library; it is a generation engine. It uses an in-app "Inspiration" grounding set (vendor-claimed 200k+ screens) during generation, not an indexed, agent-queryable corpus.
Platform coverage iOS apps and marketing pages today; web-app flows are not available yet. [20]Web app only, desktop-optimized; no native mobile apps. Ingests Figma, live web/product captures (Chrome extension), recordings, code/Storybook, docs, and analytics CSVs; outputs both mobile and web screens.
MCP / API Agent-first MCP setup across Codex, Claude Code, Cursor, Antigravity, hosted Claude connector paths, and other agentic platforms. [22]Official first-party MCP server at mcp.figr.design/mcp, supported across Claude Code, Cursor, VS Code, Codex, and more. It exposes your OWN Figr designs for design-to-code handoff, not an external screen corpus. No public REST API.
Agent readiness Agents research flows and experiment patterns, then use your product context to develop and prioritize growth hypotheses. [22]Genuinely agent-accessible via its MCP server, but it is an outbound bridge: an agent retrieves designs your team already authored in Figr for implementation — it cannot query Figr for external or competitor UI evidence.

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What Figr does well

  • Product-aware: Context Pods persist your design system, flows, and constraints so you don't re-explain the product each session.
  • Reasons about UX before pixels — generates user flows, edge cases (empty/error states), PRDs, and test cases, which reviewers say catches issues early.
  • Real first-party MCP server with broad agent support for design-to-code handoff, plus clean two-way Figma export/import.
  • Enterprise-friendly trust signals: SOC 2 Type II and no training on user data by default.

Where Figr is limited

  • A design-generation tool, not a searchable library of real shipped app screens you can pull as evidence.
  • The MCP exposes only your own Figr-authored projects — there is no open API for querying an external/public screen corpus.
  • Credit pricing is widely called opaque until you learn the task-to-credit mapping, and the Free tier's 10 monthly credits run out fast; real use is effectively paid.
  • Full context setup takes ~20-60 minutes, and the free Context Pod is read-only.

Where Lazyweb shines

  • Free human browsing makes it easy to inspect references before choosing MCP access.
  • Agent workflows can pull references, app trees, and structured design context instead of relying on generic taste.
  • Screen-version history lets agents see how a real product's UI evolved over time, not just one snapshot.

Where Lazyweb is limited

  • Lazyweb does not yet have web-app flows; flows are mobile-first today.
  • Human-facing advanced filters are thinner than some paid human-first libraries.
  • The product is intentionally agentic-first, so purely manual browsing may feel less polished than specialist galleries.

What people say

Independent sentiment is thin: the most candid third-party venue is a small Hacker News thread (5 comments), with no real Reddit, X, or G2/Capterra footprint. The core idea — that Figr 'thinks before it designs' by mapping flows and edge cases — resonates with the few who weighed in, and product-context awareness is the most-cited strength in review writeups. The sharpest criticism questions whether knowing you have a UX problem is the real bottleneck, and credit-based pricing is hard to reason about. Note the visible 4.7/5 Product Hunt rating (6 reviews) describes Figr's older Figma template product, not the current AI agent, so treat all of this as early-adopter signal.

What people praise

  • Liked that it 'thinks before it designs' — maps flows, edge cases, and states instead of jumping straight to pretty screens
  • Appreciation for the decision-log idea: preserving the reasoning behind designs, not just the artifacts
  • Product-context awareness (Chrome capture / Figma import) so generated screens match existing components
  • Figma one-click export called smooth for teams already in Figma
  • Enterprise trust signals (SOC 2 Type II, zero data retention) noted as a plus

Common complaints

  • Credit pricing hard to forecast: 'when you price in credits, I have no idea how many questions... that gives me'
  • Skepticism that it solves the real bottleneck: 'knowing you have glaring UX problems... is rarely the bottleneck'
  • The deliberate 'think first' approach is slower — poor fit for quick one-off mockups or marketing assets
  • Figma-dependent export limits value for non-Figma teams; described as early access with limited collaboration depth
  • Almost no organic independent feedback, so claimed strengths are hard to validate

How people compare it

  • Framed against prompt-to-screen tools (Google Stitch, Uizard, v0, Lovable): 'Stitch generates from a prompt, Figr generates from context' — trading speed for product-awareness
  • One review pegs Starter slightly above Uizard (~$12/mo), justified by deeper functionality but worse for fast, cheap mockups
  • A different category from design-reference libraries like Mobbin and Refero — Figr generates context-aware designs rather than serving a browsable screenshot library
  • Not yet part of the 'vs Mobbin/Refero' comparison conversation; searches surfaced only Mobbin-vs-Refero results

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Source Notes

  1. 1. Figr Pricing
    Official pricing page · figr.design · Authoritative current tiers: Free $0/10 credits, Starter $39/mo, Max $149/mo, Enterprise custom; credit model; 'Custom MCPs' on paid tiers and 'Access to Figr MCP' on Free.
  2. 2. Figr MCP — Figr AI Docs (canonical, no .md suffix)
    Official MCP/API docs · docs.figr.design · The researcher cited the '.md' variant; this canonical path resolves cleanly and is the URL to publish. Confirms first-party server at https://mcp.figr.design/mcp, supported tools (Claude Code, Cursor, VS Code, Antigravity, Codex, Android Studio, Replit, Kiro, Warp), install command, and that it exposes the user's own artifact code/decisions/project structure.
  3. 3. Figr Changelog
    Official docs · docs.figr.design · Inspiration module '200k+ best designed screens' (v2.1.0, Aug 2025); MCP/IDE context transfer (v2.9.5, Jan 2026); 'advanced MCP server built for Agent 2.0' (v3.2.4, Apr 17 2026 — latest).
  4. 4. Figr FAQ — Figr AI Docs
    Official docs · docs.figr.design · Web app is desktop-optimized (no mobile apps); Figma + code/token export; team credit pooling. Shows older pricing ($99 Pro, 20 one-time free credits) — flagged as stale.
  5. 5. Show HN: Figr — Hacker News
    Reddit discussion · news.ycombinator.com · Show HN thread exists ('AI that thinks through product problems before designing'); comment body could not be loaded (HTTP 429).
  6. 6. Figr AI Reviews — Product Hunt
    Product Hunt · producthunt.com · 4.7/5 across ~6 reviews; praise (patterns, edge cases, interface) and complaints (autolayout, chaotic sidebar, pricing visibility).
  7. 7. Figr AI Review (2026): Pricing, Features & Honest Verdict — MakerStack
    Review site · makerstack.co · Affiliate-style review (8.1/10). Useful for its listed cons: upfront-context friction, 5-seat-minimum team plans, Figma-dependent export, deliberately slower. Praise echoes Figr marketing — discount accordingly. “Requires upfront context setup before generating useful designs”
  8. 8. Figr AI Review (2026) — Toolworthy
    Third-party review · toolworthy.ai · Independent feature/pricing summary; notes browser-only, SOC 2 Type II, no training on user data, opaque credits, 20-60 min setup. Lists older annual prices ($16/$20) — flagged.
  9. 9. Figr MCP — Figr AI Docs
    Official MCP/API docs · docs.figr.design · DEFINITIVE MCP evidence: first-party server at https://mcp.figr.design/mcp; supported tools (Claude Code, Cursor, VS Code, Antigravity, Codex, Android Studio, Replit, Kiro, Warp); install command and what it exposes.
  10. 10. Figr — AI Design Agent for Product Teams (homepage)
    Official product page · figr.design · Core positioning ('Design with an AI that already understands your product'), Context Pods, inputs (Figma, captures, recordings, analytics, MCPs), 500+ teams, SOC 2 Type II.
  11. 11. Figr Product overview
    Official product page · figr.design · Outputs (flows, edge cases, PRDs, test cases, Figma-ready screens, code export) and accepted input types.
  12. 12. Investing in Figr — Antler
    Other · antler.co · Company background: founded at Antler by Moksh Garg and Chirag Singla.
  13. 13. Kalaari Capital leads $2.25M seed for Figr — Entrepreneur
    Other · entrepreneur.com · Funding context: ~$2.25M seed led by Kalaari (total ~$2.5M); investors include Google Accelerator, Antler. Not YC-backed.
  14. 14. Figr AI — Product Hunt launch (hunted.space mirror)
    Third-party aggregator · hunted.space · Independent corroboration of the Feb 17 2026 launch and engagement (~457 upvotes / 84 comments in this snapshot). Useful as a cross-check against the live PH page (which showed 523 upvotes / 87 comments at re-fetch), and confirms the '200K+ UX patterns' marketing line and 'Product of the Day'.
  15. 15. Figr — 2026 Company Profile (Tracxn)
    Other · tracxn.com · Context: Bengaluru-based, founded 2023 by Moksh Garg & Chirag Singla, ~$2.5M raised. Explains why organic user-sentiment volume is still small.
  16. 16. Figr AI — Product Hunt launch page
    Product Hunt · producthunt.com · Feb 2026 launch, ~457 upvotes; tagline 'Context-aware AI that thinks through UX.'
  17. 17. Figr AI Review (FunBlocks AI)
    Review site · funblocks.net · Aggregator review; cons include data-security concerns at onboarding, slow ingestion of large legacy apps, no transparency into what the AI learned, and missing Amplitude/Mixpanel/Jira integrations. “they fail spectacularly when asked to generate a button that matches the specific padding, color palette, and interaction model of your application.”
  18. 18. Mobbin vs. Refero: Which is Better?
    Review site · toolfolio.io · Surfaced when searching 'Figr vs Mobbin/Refero' — confirms Figr is NOT yet part of the design-reference comparison conversation. Mobbin = deep flows at higher price; Refero = faster/cheaper web inspiration.
  19. 19. Figr on X
    X · x.com · Only Figr's own brand account surfaced on X; no independent designer takes found in search. Not a sentiment signal.
  20. 20. Lazyweb
    Lazyweb product page · lazyweb.com · Product growth toolkit built around real UI evidence, with free browsing and plan-dependent installed research reports.
  21. 21. Lazyweb Research
    Lazyweb research page · lazyweb.com · Research reports built from real UI evidence and product patterns.
  22. 22. Lazyweb MCP install
    Lazyweb setup page · lazyweb.com · Agentic setup path for Codex, Claude Code, Cursor, Antigravity, and other MCP clients.
  23. 23. Lazyweb pricing
    Lazyweb pricing page · lazyweb.com · Pro and Team prices, trial terms and plan access.