Build or Skip

What is Build or Skip?

Build or Skip is a research platform designed for independent developers and startup teams who want to find products that are already making money before they build. It brings together public payment signals, tipping data, site intelligence, and backlink resources. The goal is to help users see which products show commercial activity, which are growing, and which deserve a closer look. Instead of proving demand from scratch, users can start where money is already moving. The platform is built for those who want to stop guessing what to build.

How Build or Skip works

Build or Skip aggregates publicly observable signals from multiple sources. It collects payment signals, public tips from Buy Me a Coffee, domain registration data, DR, traffic, product categories, and backlink resources. These are presented as research signals, not verified orders or revenue. The platform ranks products by revenue and tip signals, and allows users to filter and compare them. Data freshness varies: revenue rankings follow calendar-month reporting, while comment and AI tool backlink resources update daily. Other site data shows its relevant date on the page. Users can then review the evidence and make a decision to Build, Watch, or Skip. The process is framed as three steps: find opportunities, read the trend, and make the call. Find opportunities by locating products showing observable payment signals. Read the trend by comparing signal scale, growth, and persistence. Make the call by deciding whether to Build, Watch, or Skip.

Main features

• New site revenue ranking: Find newly registered domains showing payment signals. Compare site profiles and categories to spot new products worth researching. Monthly candidates are listed with site profiles and payment signals.
• Product revenue ranking: Filter by product area, payment channel, DR, registration date, and payment signals. Compare six-month momentum. Growth trends and site metrics are available.
• Tip revenue ranking: Compare publicly visible Buy Me a Coffee tip amounts, active months, and six-month amount trends. This shows which creators are attracting financial support.
• Comment backlink library: Review collected comment articles by domain and review date. Open the original page to evaluate it yourself. This aids in backlink research.
• AI tool backlink library: Browse AI product directories and resource sites with their submission URL, submission method, fee requirement, and last check date. This simplifies directory submissions.
• API: Query DR, domain registration, monthly traffic, and structured homepage data through one account API. This enables custom integrations.
• MCP: Use supported AI clients to discover published datasets, find products, read site snapshots, and check usage. This is for AI-assisted workflows.
• Watchlist and Chrome Extension: Mentioned in the navigation, but no details are provided on the page.

The platform also displays key metrics such as 130k+ money-making sites, 6000+ money-making AI tool sites, 200+ comment backlinks (continuously updated), 200+ AI tool backlinks (continuously updated), and 300+ Buy Me a Coffee sites. A sample payment signal shows ≈1,446 with +38% MoM, months active 5/6, momentum rising, and staying power recurring. The page also includes privacy-redacted user feedback screenshots translated into English. Clicking an image opens it at full size.

Pricing

The page includes a "Pricing" link in the navigation, but no pricing information, plans, or costs are provided on this page. Therefore, pricing details remain unknown from the available content.

Common use cases

• Independent developers looking for product ideas with observable commercial activity.
• Startup teams researching market opportunities before committing to a build.
• Analysts comparing momentum and consistency across products.
• Researchers finding new domains with payment signals.
• Marketers analyzing public tip revenue for Buy Me a Coffee sites.
• SEO specialists discovering comment backlink opportunities.
• AI tool builders locating directories and resource sites for submissions.
• Developers integrating data via API or MCP into their workflows.

Limitations

• The data are research signals, not verified orders or revenue. Payment signals and tips may not reflect total income.
• Revenue rankings follow calendar-month reporting, so they may not be real-time.
• Backlink resources update daily, but other data shows its relevant date and may be less current.
• The platform relies on publicly available information, which can be incomplete or inaccurate.
• Pricing is not disclosed on the page, so users cannot assess cost.
• Some features, such as the Chrome Extension and Watchlist, are referenced but not described.
• Coverage appears focused on specific ecosystems like Buy Me a Coffee and AI tool directories.
• User feedback is presented as privacy-redacted screenshots translated into English.

Summary

Build or Skip is a research tool that helps developers and startup teams find products with commercial signals. It aggregates public payment data, tip rankings, site intelligence, and backlink resources to support product decisions. While it offers valuable signals and filtering capabilities, users should remember that the data are not verified revenue and that pricing information is not provided. The platform is best used as a starting point for further research rather than a definitive source of sales data.