reverse engineering
3 stories filed under reverse engineering on Beyond Market Intelligence. The newest of them: “When Closed Code Won't Open, Can AI Do the Heavy Lifting”, “Unlocking iOS 27 Virtualization for Security Research and Testing”, and “Explore an open dataset of billions of TikTok videos on Hugging Face.”. Every developer knows the frustration: a feature behaves inexplicably, and the code behind it is sealed tight. The vphone-cli project brings full iOS 27 virtualization to Apple Silicon, built on Apple's own Virtualization.framework rather than emulation. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every reverse engineering story on Beyond Market Intelligence, newest first.
When Closed Code Won't Open, Can AI Do the Heavy Lifting
Every developer knows the frustration: a feature behaves inexplicably, and the code behind it is sealed tight. No source. No docs. Just a compiled binary or minified JavaScript. Traditional reverse engineering demands hours with specialist tools like Ghidra or IDA. That's why Reverse Engineer Anything (REA) is worth your attention. This open-source project, with over 200K GitHub stars, connects coding agents to do the heavy lifting. It's a practical, AI-powered approach to cracking closed code.
Unlocking iOS 27 Virtualization for Security Research and Testing
The vphone-cli project brings full iOS 27 virtualization to Apple Silicon, built on Apple's own Virtualization.framework rather than emulation. That distinction matters. It means security researchers and developers testing automated workflows can run a complete iOS system with native performance, opening doors for deeper reverse engineering and more reliable testing. We're watching this closely because it removes a major barrier to practical, hands-on experimentation. For those feeling the pressure of evolving iOS development, this feels like a step toward simpler, more accessible tooling.
Explore an open dataset of billions of TikTok videos on Hugging Face.
5.94 billion TikTok videos. 3.23 billion profiles. In three weeks. That's the scale of what one developer just uploaded to Hugging Face, free for anyone to explore. It's a bold move, and a practical one. The data is public, but the method behind it is the real story. If you're curious about the mechanics of such large-scale collection, our guide on distributed algorithms offers useful context. This is a dataset that invites serious tinkering.