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 product analytics for remote teams worth building?

With an opportunity score of 62/100, 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 product analytics for remote teams

You're losing visibility into how your distributed team actually uses your product—and generic dashboards aren't cutting it anymore. Remote teams need analytics that speak their language: async workflows, timezone-agnostic insights, and collaboration patterns that matter.

Opportunity Score

62/ 100

Moderate

Estimated Competitors

8apps

Low competition

Key insight: The winning move isn't building better analytics—it's building analytics that reduce synchronous dependency, so remote teams can absorb insights on their own time without losing context or momentum.

Market Overview

The product analytics space is dominated by 15-20 major players (Amplitude, Mixpanel, Heap, LogRocket), but the remote-team-specific segment is fragmented and underserved. Most existing tools treat remote teams as just another user base, missing critical pain points: async decision-making velocity, cross-timezone collaboration metrics, and the unique data needs of distributed product orgs. The common failure is treating remote work as a distribution problem rather than a fundamentally different way teams interact with data—analytics built for synchronous, office-based teams often require real-time dashboards and sprint-sync reviews that remote teams can't sustain. The real gap sits at the intersection of product analytics + team operations: founders and PMs at remote-first companies need visibility into not just user behavior, but how insights flow through their team, what decisions stick without synchronous alignment, and how async communication patterns affect product velocity. A new entrant should focus on async-native reporting (insights that don't require a live standup), bias detection (what gets missed when everyone's timezone-shifted), and decision-audit trails (which insights actually drove shipping, not just views).