Curated portfolio projects across 30 categories — build a database, web browser, neural network, or compiler from scratch. The kind of project that lands the interview, not the kind that fills a resume.
Tell us your language, experience level, and the kind of role you want. We'll pick three projects from the library that match — beginner-friendly enough to finish, deep enough to talk about in interviews.
JobsByCulture profiles 118 AI & tech companies with 13,000+ live jobs — filtered by culture values, engineering quality, and what skills they actually hire for. The ideal next step after your portfolio is ready.
Browse 13,000+ Jobs →The single most common mistake new grads make is treating the portfolio like a tutorial transcript. Fifteen half-finished React clones look worse than one well-documented project that shows you understand a hard problem deeply. Here's the framework that consistently lands offers:
The "Build Your Own X" pattern — building a simplified version of a real production tool (database, browser, Git, neural network) — is the highest-leverage learning path for new grads. Three reasons:
The caveat: copying a tutorial line-for-line teaches nothing. The value lives in the friction — the bugs you debugged, the choices you made, the trade-offs you measured. Always extend the tutorial.
If you have a relevant internship at a known company, that beats a GitHub project for FAANG-style interviews. But for startup applications, a strong portfolio frequently outweighs a generic internship. Both together is the strongest signal possible. If you can't get an internship, a deep portfolio project becomes your highest-leverage substitute.
Build in whatever language the team you want to join uses. Python is the most-hired language in 2026 across AI, data, and infra roles. Rust signals systems interest but narrows your applicable roles. JavaScript/TypeScript dominates frontend and full-stack. Match the language to the job, not the trend.
Three lines per project, max: (1) one sentence on what it does, (2) one sentence on the technical choice that mattered, (3) one sentence on a concrete result (benchmark, user count, stars). Skip "Built a chat app with React" in favor of "Built a real-time chat app in Go with a custom WebSocket protocol — handles 10k concurrent connections per node."
Your Tier-1 foundation project should take 4–8 weeks of focused work. Anything less and you didn't go deep enough; anything more and you over-invested in one thing. Tier-2 and Tier-3 projects should each take 1–2 weeks.
Yes — and you should, because that's how you'll work as a professional engineer. The trap: if Claude or Cursor wrote 90% of the code and you can't explain the trade-offs, the project is worthless in an interview. Use AI to accelerate, then strip it back and rewrite the parts you don't understand line by line.