Unbuilt is a market intelligence platform for vibe coders, indie hackers, and no-code founders. It has three tools: Pulse (free daily launch feed), Dig (market analysis scanning 70+ live sources), and Stack (build plan from 700+ tools).

How does Dig validate an app idea?

Dig scans 70+ live data sources including App Store, Google Play, Reddit, X, YouTube, and Product Hunt. It returns a competitor list, pain points, market gaps, SWOT analysis, and an opportunity score from 0 to 100. The process takes approximately 5 minutes.

Is Unbuilt free to use?

Pulse (the daily launch feed) is completely free with no account required. Dig (market analysis) and Stack (build plan) each cost 1 credit per report. Unbuilt also hosts 2,400+ free app idea analysis pages at unbuilt.me/ideas.

Vibecoding is building software using AI-powered tools like Cursor, Lovable, Bolt, Replit, and v0. It allows non-traditional developers to create apps quickly. Unbuilt helps vibe coders validate their ideas before building.

How many app ideas does Unbuilt analyze?

Unbuilt hosts over 2,400 pre-analyzed app idea pages covering 25+ categories including SaaS, AI tools, developer tools, productivity, finance, health, and education. Each page includes an opportunity score, competitor count, and market overview.

Is best cohort analysis tool for designers worth building?

With an opportunity score of 72/100, this is a high-opportunity space with clear gaps. For a full analysis, use Dig at unbuilt.me to scan 70+ live sources.

Best ToolsAnalytics

Best cohort analysis tool for designers

You're drowning in user behavior data, but your design tool isn't telling you *why* users drop off at specific points in your product flow. Cohort analysis for designers is still dominated by data analysts using SQL and spreadsheets—there's a 60-70% gap between what designers need and what generic analytics platforms deliver.

Opportunity Score

72/ 100

High Opportunity

Estimated Competitors

4apps

Low competition

Key insight: The winning play isn't building better analytics—it's building analytics that designers can own without becoming data analysts, while still offering depth that satisfies product teams asking hard questions.

Market Overview

There are roughly 15-25 general cohort analysis tools in the market (Amplitude, Mixpanel, Retention, Segment, etc.), but fewer than 5 are genuinely optimized for the designer workflow. The pain point isn't analysis itself—it's translation. Designers need cohort insights framed around user journeys, retention patterns, and feature adoption, not just raw metrics. Most existing tools require SQL knowledge or force designers to wait on analytics teams for answers. The real gap is a tool that combines Figma-like ease-of-use with Amplitude-grade cohort segmentation, specifically built around design metrics (onboarding completion rates, feature discovery velocity, design-system adoption). A new entrant should obsess over the designer's workflow: one-click cohort creation from user segments, visual journey mapping tied to cohort behavior, and instant Slack/team notifications when cohorts diverge. The opportunity sits in the intersection of design tools and behavioral analytics—a space currently abandoned by both camps.