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The #1 GitHub Repo That Lets Claude Copy Any App (I Tested It on Duolingo)

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AICharlie AutomatesOctober 18, 2026 at 05:00 PM12:18
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TL;DR

REA is a free open-source tool that lets AI coding agents inspect and map how existing software works, making it easier to build custom alternatives and MVPs for businesses.

KEY POINTS

A GitHub breakout

REA surged from about 10,000 to 100,000 GitHub stars in six days, quickly becoming one of the platform’s top trending repositories. Interest spiked after claims that a four-person team used Claude to rebuild software patterns associated with products from companies as large as Adobe, whose annual revenue is roughly $18 billion.

What REA does

REA, short for Reverse Engineer Anything, plugs into coding agents such as Claude Code and Codex. It is designed to inspect websites, web apps, Android apps, desktop software and even binaries, then generate a structured explanation of how those products function so an AI system can help recreate similar behavior.

How the workflow operates

The process described is straightforward: install REA, connect it to an AI coding tool, point it at an application, and let the agent map the product’s features and flows. That output can then be passed to an orchestration layer such as Paul to plan and build a first version autonomously inside VS Code or a similar environment.

Duolingo-style demo

One example used Duolingo as a target. The AI agent navigated the app through computer-use features, ran background research with sub-agents, assembled an REA report, and produced a build roadmap. A customized clone then prioritized a new video-call language tutoring feature, showing how the approach can replicate an existing app while adding differentiated functions.

Lower entry costs

The pitch behind REA is economic as much as technical. Instead of paying developers tens of thousands of dollars upfront to guess how a feature works, a user can subscribe to Claude Code or Codex for roughly $100 to $200 a month, use REA to analyze paid software, and build a tailored version they control.

Why incumbents still matter

The approach does not erase established software vendors overnight. Mature products carry decades of fixes for obscure bugs, edge cases and operational failures. A freshly generated clone may look convincing in week one, but it lacks the resilience built over 30 years of real-world use and customer support.

Best fit: MVPs and niche software

Where the model appears strongest is in MVP development and industry-specific tools. Businesses can test product-market fit faster by launching a focused minimum viable product with a clear definition of done, rather than waiting for a polished enterprise-grade platform before selling.

A services opportunity

The bigger commercial opening may be custom software services rather than mass-market SaaS. The core idea is to find a company already paying heavily for software that does not fit its workflow, analyze the incumbent tool with REA, and build a version that connects natively with the client’s other systems.

Deal economics

Pricing examples ranged from $5,000 to $30,000 upfront, plus a monthly hosting or maintenance retainer. One cited project involved a $40,000 construction-company deal after identifying pain points around disconnected tools. The argument is that a company already spending $1,000 to $2,000 a month on ill-fitting software may prefer to fund an owned replacement.

Where demand may be strongest

Sectors highlighted included construction, restoration, clinics and logistics, especially where operations depend on multiple systems that fail to integrate. The target buyers are owners, COOs and operations managers, with the selling point centered on customization, direct support and tighter workflow integration.

CONCLUSION

REA reflects a broader shift in software creation: AI agents are lowering the cost of understanding existing products and turning custom app development into a faster, more accessible business service. The near-term impact is likely to be greatest in bespoke tools and MVPs, not the immediate collapse of major software platforms.

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