Engineering.fyi – Search across tech engineering blogs in one place
I built a search engine for engineering blogs because I was tired of manually checking individual company blogs to find real-world production examples. The problem: When learning a new technology, the best insights often come from how companies like Google, Meta, or Stripe actually implement it in production. But these gems are scattered across dozens of separate engineering blogs with no way to search across them. What I built: Engineering.fyi indexes engineering blogs from ~15 companies (Google, Meta, OpenAI, Anthropic, Stripe, Uber, etc.) and makes them searchable in one place. You can…
In plain words
Engineering.fyi is a searchable database of engineering blogs from major tech companies like Google, Meta, OpenAI, and Stripe. It aggregates content from approximately 15 company blogs in one place, allowing engineers to quickly find real-world production implementation examples rather than manually checking individual sites. Users can filter articles by topic, difficulty level, and code sample availability. The tool is designed for developers learning new technologies who want practical insights into how established companies actually implement solutions in production environments.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built a search engine for engineering blogs because I was tired of manually checking individual company blogs to find real-world production examples. The problem: When learning a new technology, the best insights often come from how companies like Google, Meta, or Stripe actually implement it in production. But these gems are scattered across dozens of separate engineering blogs with no way to search across them. What I built: Engineering.fyi indexes engineering blogs from ~15 companies (Google, Meta, OpenAI, Anthropic, Stripe, Uber, etc.) and makes them searchable in one place. You can filter by topic, difficulty level, and whether articles include code samples. Technical details: - Built with Next.js, SQLite, DrizzleORM - Custom scrapers for each blog (they're all frustratingly different) - Basic tagging system using content matching (still improving this) Current status: Core search is working. Adding new blogs weekly as I index them. Next features (based on early feedback): - AI summaries for quick article previews - Weekly digest of trending engineering insights - Save/bookmark articles (considering whether to add accounts) Interesting challenges: - Each blog requires custom parsing logic (no standard format) - Building an accurate tagging system is harder than expected – started with exact matching but exploring better approaches I'd love feedback on: - Which company engineering blogs you'd find most valuable to include - Whether AI summaries would actually be useful or just noise - How you currently discover engineering articles from these companies
More life & fun this month
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Launched alongside, August 2025
the whole month →
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