Ask about Lazyweb

What can I use in Lazyweb for free?

Lazyweb offers free human browsing and MCP setup. Free accounts receive partial research reports; full reports require Pro.

Start at https://www.lazyweb.com/screens to inspect real product references. Free access also includes MCP setup, client configuration and token creation, so you can connect an agent before subscribing. The distinction is report depth: non-Pro accounts receive partial reports with one visible generated mockup and locked recommendations. Pro unlocks full reports and priority capacity. Some individual flow pages ask you to sign up for further exploration, so free browsing does not mean every workflow is anonymous.

Should I choose Lazyweb Pro or Team, and what do they cost?

Choose Pro at $39/month for individual agent research. Choose Team at $99/month for up to five seats, shared workspaces and competitor tracking.

Lazyweb Pro, also labeled Individual on the product page, costs $39 per month and includes the complete toolkit except competitor tracking. The product page lists Growth Audit, Growth Recommendations, Experiment Research and Flows Research among its capabilities. Team costs $99 per month for up to five seats. It adds competitor tracking, shared workspaces, shared reports and an experiment library. Both paid plans offer a three-day trial requiring a card and automatically renew monthly unless canceled; applicable taxes and exact terms appear at checkout.

Does Lazyweb’s free trial require a card, and how do I avoid renewal?

Yes. Both paid plans require a card for the three-day trial and renew automatically; cancel before the trial ends to avoid the monthly charge.

Select Pro or Team through Lazyweb’s pricing page and review the checkout terms. Both plans require a payment card for the three-day trial; after it ends, the selected monthly subscription renews automatically unless canceled. Cancel before the trial ends to avoid renewal. Lazyweb directs customers to https://www.lazyweb.com/account for billing management and https://www.lazyweb.com/support for billing support. The inspected pricing page does not specify a refund entitlement, so do not assume cancellation reverses an existing charge.

Who is Lazyweb for, and when is it a poor fit?

Lazyweb fits teams researching real interface patterns before making design changes, especially through an AI agent. It is less useful for backend-only work or buyers whose priority is sophisticated manual gallery browsing.

Lazyweb serves founders, designers, product teams and people building with AI coding agents. Its reference library helps with concrete interface decisions such as onboarding order, paywall presentation, checkout, settings and competitive UI comparisons. Use it before designing or critiquing a flow, with a specific product question and target audience. Its published positioning excludes backend architecture, database migrations and generic coding work that does not need UI references. Lazyweb also acknowledges that its manual browsing and advanced filters are less developed than some specialist galleries.

How do I connect Lazyweb to Cursor, Codex or Claude?

Use Lazyweb’s installer for supported local coding clients or configure its remote MCP connection manually. Hosted Claude and ChatGPT use separate connector setup paths.

For supported local coding clients, the homepage provides the installer at https://www.lazyweb.com/install.sh. It installs Lazyweb skills and configures direct MCP access where it recognizes the client’s configuration path. Manual connections use https://www.lazyweb.com/mcp with Streamable HTTP and bearer-token authorization. To check the connection, list the available tools and confirm lazyweb_get_workflows is present. Hosted Claude and ChatGPT require their connector setup paths because the local installer cannot configure them. Setup is free. A working connection does not itself unlock full paid reports, and upgrading to Pro does not require replacing your existing token.

What does Lazyweb’s Growth Score tell me—and does it predict conversion lift?

Growth Score identifies optimization opportunities and competitive context. The inspected sources do not establish that a particular score predicts a specific conversion increase.

The product page describes Growth Score as an assessment of how optimized a site is, where opportunities remain and how it compares with competitors. It presents a free score and limited audit, with recommendations and fuller research on the Individual plan. Treat the score as a way to prioritize review. The inspected product page shows different illustrative scores and growth figures across its text and captured visual states, without enough supporting methodology to turn those examples into a reliable forecast for your site. Use recommendations to define changes you can evaluate. Lazyweb’s detailed research also distinguishes observed interface variations from confirmed experiments or measured winners.

How can I use Lazyweb to research onboarding before a paywall?

Study the sequence around value, signup and subscription rather than an isolated paywall. Lazyweb’s Cal AI app tree provides a public, dated example with downloadable screenshots and explicit capture limits.

Start with the decision you need to make: when to request signup, when to show personalized value or where to introduce a subscription. Then inspect an ordered capture and record what happens before and after each decision. Lazyweb’s public Cal AI app tree is a concrete starting point. It contains 45 captured frames from August 2026, organized into phases from welcome through personalization, permissions, plan preview, sign-in and subscription selection. A screenshot ZIP is linked on the page. This capture shows a personalized plan before sign-in, but it covers one path and ends at an uncompleted subscription decision. Use it to develop a hypothesis for your product, not as proof that delaying signup improves conversion.

What is the difference between a Lazyweb flow and an app tree?

A flow follows a specific task through captured screens. An app tree provides connected journey context, but neither should be assumed to cover every possible branch.

A flow page documents a particular task as an ordered screen sequence. For example, the ChatGPT model-picker entry contains two captured screens and links to a related design analysis. An app tree adds recorded connections and broader journey context. The Cal AI example contains 45 frames but 39 stored tree nodes, with repeated selection and permission states retained. Its phase labels help explain the journey, but the archive does not cover every branch or the post-purchase product. Choose a short flow for a focused interaction question and an app tree when the order of decisions matters.

Does Lazyweb include complete web-app and Android flows?

Lazyweb’s published comparisons say its flows are mobile-first and complete web-app flows are not yet available. Do not assume Android coverage or full SaaS journeys without checking the specific entry.

Lazyweb’s comparison pages explicitly describe its coverage as iOS apps and marketing pages and say web-app flows are not yet available. The homepage mentions web screens and dashboard research more broadly, which should not be read as a promise of complete desktop SaaS journeys. Before choosing Lazyweb for a web-app project, inspect a relevant company and the exact flow you need. A screenshot or research article can help with one decision without providing an end-to-end web workflow. Android flow coverage is not established by the inspected Lazyweb sources.

Why does a company appear in Lazyweb with no screenshots?

A company listing does not guarantee captured screens. Check its screen count and screenshot section before using it as a design reference.

Company-directory inclusion and screenshot availability are separate. The inspected 1Password entry includes a category, description and website, but lists zero screens and explicitly says screenshots are not yet available. Check the screen count and actual image links before relying on a company for competitive research. Generic text mentioning onboarding or checkout does not establish that those flows have been captured. If the entry is empty, choose another documented product rather than treating the directory description as UI evidence.

Are Lazyweb’s detected experiments proven A/B-test winners?

No. Lazyweb’s detailed research labels some experiments as detected UI variations, without confirmed test results or conversion lift.

Lazyweb’s Mimo research describes detected before-and-after differences and inferred rationale. It explicitly states that these are observed variations rather than confirmed A/B tests, and does not claim either price presentation performed better. Use this material to identify testable changes, such as pricing wording or visual treatment. The Mimo article recommends testing those separately. Establish the effect in your own context before calling a pattern a winner; a visible change or model interpretation is not conversion evidence.

When should I choose Lazyweb instead of Mobbin?

Consider Lazyweb for agent-led research with app trees, version history and free partial reports. Consider Mobbin when complete mobile and web journeys or a more mature manual browsing experience are your priority.

Lazyweb positions itself around agent research, app trees, structured design context and screen-version history. Its own comparison recommends Mobbin when you need a deep catalog of complete multi-step journeys across mobile and web products, and acknowledges Lazyweb’s current web-flow and manual-filtering limits. Both products offer MCP access, so the decision should focus on relevant references, workflow and access conditions. Mobbin’s official MCP page requires a paid plan; Lazyweb allows free setup and partial reports before upgrading. Inspect the same target task in each library before committing. Lazyweb’s comparison is vendor-authored, and its older competitor prices should not replace Mobbin’s current checkout information.

How should I interpret dates, prices and claims inside Lazyweb screenshots?

Treat screenshots as dated evidence of what a product displayed. Prices, ratings and claims inside a capture are not automatically current or independently verified.

Look for the date on the individual flow or capture. The inspected ChatGPT model-picker flow is dated January 2026, while the Cal AI app tree documents an August 2026 capture. These dates describe the evidence you are viewing, not a guarantee that the live product remains identical. Cal AI’s capture notes explicitly classify displayed prices, ratings, user counts and testimonials as archived presentation content rather than current offers or company results. Apply that distinction when using screenshots in a research brief: record the capture date and verify current commercial facts with the original product.