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A coder used AI to rank which tech companies offer the best food at work. Check out the winners.

Alistair Barr
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⚡ Quantum Brief
A coder built Lunches.fyi, an AI tool ranking tech companies by cafeteria quality, using OpenAI’s Codex in just one hour—20x faster than traditional coding. The project scrapes public menus to score meals. Nvidia topped the rankings with gourmet options like truffle mushroom pizza, outperforming peers in both food quality and stock performance. The playful experiment highlights AI’s growing role in unconventional data analysis. A bug revealed AI’s data dependency: Replit’s meals initially scored zero protein due to missing nutritional info. The developer fixed it after the CEO’s complaint, proving flawed inputs distort outputs. The project exemplifies "vibe coding," a fast, experimental approach using AI tools for whimsical yet functional results. It underscores how lightweight AI applications can emerge from minimal effort. Despite its humor, the tool serves as a cautionary tale: AI’s accuracy hinges on complete, high-quality data—even for trivial tasks like ranking corporate lunches.
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A coder used AI to rank which tech companies offer the best food at work. Check out the winners.

Employees inside the Voyager building at Nvidia headquarters in Silicon Valley Bloomberg/Getty Images 2026-04-18T14:01:01.239Z Share Copy link Email Facebook WhatsApp X LinkedIn Bluesky Threads lighning bolt icon An icon in the shape of a lightning bolt.

Impact Link Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in. A version of this story originally appeared in the BI Tech Memo newsletter. Sign up for the weekly BI Tech Memo newsletter here. AI-generated summary Summaries are generated by an AI model trained on Business Insider's articles. AI may make mistakes or provide inaccurate/incomplete information. We're unable to load that answer right now. Please try again. What is "vibe coding"? Who is Riley Walz? What are the challenges of AI projects? How does AI impact data accuracy? How does Lunches.fyi work? A new side project, Lunches.fyi, takes the AI tooling craze in a lighter direction, ranking tech companies not by market cap, but by cafeteria quality. Loading audio narration... It was built by coding prankster Riley Walz in about an hour using voice-dictated commands into OpenAI's Codex (a task he says might previously have taken 20+ hours).The site scrapes publicly available tech company menus and uses AI to categorize and score meals. Early results crowned Nvidia a surprise leader, serving everything from "truffle mushroom pizza" to leafy greens worthy of its stock performance. But the experiment also highlights a familiar truth: AI is only as good as the data it's built on. Replit CEO Amjad Masad publicly questioned his company's low protein ranking, prompting Walz to uncover a bug: missing nutrition data that had defaulted to zero.Sorry for the protein slander! Some menus didn't have nutritional facts, so the script assumed there were 0 grams of protein in all of Replit's dishes. Just fixed. The joys of vibe coding...— Riley Walz (@rtwlz) March 10, 2026 Fixing the error quickly changed the results. It's a small, fun project, but a sharp reminder: AI breaks without quality data. You can check out how tech companies rank, over that the website: Lunches.fyi.Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com.

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