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 transcription tool for developers 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 ToolsAi Tools

Best AI transcription tool for developers

You're losing hours to manual transcription workflows when your codebase should be self-documenting—and most AI transcription tools treat developers like they're still taking meeting notes. The developer transcription market is fragmented between generic speech-to-text and niche coding-specific tools, but none of them actually understand your tech stack or output in formats you can actually use.

Opportunity Score

68/ 100

Moderate

Estimated Competitors

11apps

Low competition

Key insight: The market isn't waiting for another transcription app—it's waiting for a transcription-plus-documentation tool that turns technical discussions into immediately actionable, integrated outputs in tools developers already live in.

Market Overview

There are roughly 40-60 AI transcription tools in the broader market, but fewer than 12 seriously target developers with code-aware features. The common failure pattern is obvious: tools like Otter.ai, Fireflies, and Rev optimize for business meetings and customer calls, missing the specific pain points of developers who need transcription for code walkthroughs, architecture discussions, debugging sessions, and technical documentation. The real gap sits here—developers want transcription that understands context switching between spoken code references, technical terminology, and architectural decisions, then outputs in developer-native formats like markdown, Jira tickets, or inline code comments. A new shipper should obsess over three things: (1) accuracy on technical jargon and code snippet pronunciation, (2) intelligent formatting that turns messy transcripts into usable technical documentation automatically, and (3) integrations with developer tools (GitHub, VS Code, Slack, Linear) so the output actually flows into existing workflows instead of sitting in some external dashboard. The winning move isn't better transcription accuracy in the generic sense—it's building a tool that understands developers work in context layers and can tag, segment, and route transcriptions intelligently based on what's actually being discussed.