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 data scraping tool for consultants worth building?

With an opportunity score of 68/100, this is a moderately competitive space with some opportunities. For a full analysis, use Dig at unbuilt.me to scan 70+ live sources.

Best ToolsAutomation

Best data scraping tool for consultants

You're spending 15+ hours per week on manual data collection when you should be synthesizing insights—and most scraping tools treat consultants like developers, not strategists. The consultant's scraping stack is fragmented, overengineered, and built for the wrong workflow.

Opportunity Score

68/ 100

Moderate

Estimated Competitors

48apps

Competitive

Key insight: The consultant doesn't want a scraping tool—they want a research assistant that outputs directly into their deck, so focus on deliverable-first design, not data pipeline flexibility.

Market Overview

There are roughly 40-60 active data scraping tools on the market today, but only 3-5 explicitly position toward consultants (most target engineers, agencies, or researchers). The core pain point isn't technical capability—it's friction: consultants need no-code, pre-built connectors to common sources (LinkedIn, industry databases, earnings calls, competitor sites), one-click exports to PowerPoint or Google Sheets, and governance (legal compliance, audit trails). The gap isn't in scraping; it's in *consultant workflow integration*. Most tools require API keys, terminal commands, or custom regex—dealbreakers for non-technical users. The real opportunity is a purpose-built layer: templates for common consultant use cases (market sizing, competitive analysis, customer research), natural language query builders, and direct integrations with presentation software. A founder shipping here should laser-focus on three things: (1) pre-built templates for consulting deliverables, not raw data extraction, (2) compliance-first features (GDPR, terms-of-service filtering, attribution), and (3) seamless export to the tools consultants already live in (Slack, Notion, Figma, PowerPoint). Speed to insight matters more than raw volume.