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 AI resume screener for solo founders 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 ToolsAi Tools

Best AI resume screener for solo founders

You're drowning in applications and can't hire fast enough to screen them—but most resume screeners treat all roles the same, missing the nuanced fit solo founders actually need. The market for AI resume screening has exploded, yet almost none are built for the compressed hiring reality of early-stage founders making 100% of hiring decisions alone.

Opportunity Score

72/ 100

High Opportunity

Estimated Competitors

52apps

Crowded space

Key insight: The winner in this space won't be the tool with the best AI model—it'll be the one that makes founders feel *confident* in their screening decisions by showing their reasoning transparently, and that respects their time by requiring zero learning curve.

Market Overview

There are roughly 40-60 AI resume screening tools on the market today, ranging from enterprise ATS giants (Lever, Greenhouse) to scrappy point solutions. The common failure pattern is clear: most tools optimize for volume and legal compliance, not for founders who need to understand *why* a candidate fits their specific role, stage, and culture. Generic scoring feels like a black box. Solo founders also lack the time to configure complex workflows—they want immediate signal with minimal setup. The real gap isn't in resume parsing or keyword matching; it's in tools that combine lightweight UX, transparent reasoning (showing *which* resume sections triggered a match), and customization for early-stage hiring where one bad hire derails momentum. A founder doesn't need a 15-field configuration page; they need to paste a job description, upload resumes, and get back a ranked list with a one-sentence reason for each ranking in under 2 minutes.