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 translation tool for small teams 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 translation tool for small teams

You're drowning in translation API costs and vendor lock-in while your 5-person team juggles 3 different tools just to ship content globally. The right AI translation tool could cut your monthly spend by 60% and eliminate context-switching—but most solutions are built for enterprises or solo creators, not teams like yours.

Opportunity Score

72/ 100

High Opportunity

Estimated Competitors

18apps

Competitive

Key insight: The 10-person team segment is genuinely underserved—they're too large for solo-creator tools but too small (and cost-conscious) for enterprise contracts, making them desperate for something purpose-built at their scale with predictable billing.

Market Overview

The AI translation space has exploded to roughly 40-60 viable tools, but most cluster into two useless extremes: expensive enterprise suites (DeepL Pro, Google Cloud Translation) or bare-bone API wrappers. The real pain points are (1) pricing that scales unpredictably with team size, (2) lack of team collaboration features like approval workflows or glossary management, (3) zero context retention between projects, and (4) poor handling of technical jargon and brand voice. Small teams currently bridge gaps by combining free tier DeepL, ChatGPT prompts, and spreadsheets—a nightmare workflow. The gap isn't in translation quality anymore; it's in the team operations layer. A shipper solving this needs to focus on: group workspaces with role-based access, persistent glossaries that stick across projects, bulk upload with smart batching to avoid API overage fees, and transparent per-team pricing with a hard cap. The winner here isn't competing on translation engine; they're competing on workflow and trust.