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 social media analytics for e-commerce sellers worth building?

With an opportunity score of 58/100, this is a moderately competitive space with some opportunities. For a full analysis, use Dig at unbuilt.me to scan 70+ live sources.

Best ToolsAnalytics

Best social media analytics for e-commerce sellers

You're losing money every day you don't know which products, channels, and campaigns are actually driving revenue on your store. Most e-commerce sellers are drowning in disconnected data across 5+ platforms, and they're making decisions blind—but the tools to fix this are fragmented, expensive, or both.

Opportunity Score

58/ 100

Moderate

Estimated Competitors

52apps

Crowded space

Key insight: The market isn't underserved—it's oversolved for the wrong problem; most tools optimize for data visibility when sellers actually need automated profit optimization and clear 'move budget here' recommendations.

Market Overview

There are roughly 40-60 dedicated analytics platforms claiming to serve e-commerce sellers, plus another 100+ half-baked integrations bolted onto Shopify or general BI tools. The real pain point isn't data collection—it's actionability. Most sellers use 3-4 disconnected tools (Google Analytics, Shopify native dashboards, Facebook Ads Manager, email platform analytics) and manually stitch insights together. The common failure is tools that are either too technical (requiring SQL or data engineering skills) or too surface-level (vanity metrics that don't connect to profit). The actual gap is real-time, unified revenue attribution that works across all traffic sources and tells sellers exactly which customer cohort, product, and channel combination is profitable. New entrants should stop competing on feature parity and instead focus on the single metric that matters to sellers: customer acquisition cost (CAC) vs. lifetime value (LTV) by channel, with automated recommendations for budget reallocation. The market is crowded but poorly solved—there's room for a focused, vertical-specific shipper who obsesses over one thing sellers actually need instead of trying to be an all-in-one platform.