Team Task Manager
Upgrade a to-do app into a task manager for small teams.
- Teams, invites and roles
- Deadlines in each user's time zone
- Email or push reminders before a task is due
- Live updates when a teammate changes a task
A to-do app shows you can follow a tutorial. A project with real users, background jobs and failure handling shows you can build software. Here are 20 project ideas in three levels, what each one teaches you, and how to write them on your resume.
A to-do app or a weather app is a fine way to learn a framework. The problem is what it says on a resume: these projects come straight from tutorials, so a reviewer can't tell what you figured out. They also skip everything that makes real software hard.
The fix isn't a fancier idea. It is taking an idea you already understand and adding the parts on the right.
Use this as a checklist. A strong project ticks most of it:
Sign-up, login, sessions or tokens, and roles (owner, member, viewer). Each user only sees their own data.
A real database with relations, and a plan for two writes at the same time (transactions, locks, versions).
Something that runs outside a request: scheduled jobs, queues, workers, retries.
Timeouts, retries with backoff, idempotency so a retry doesn't do the work twice, clear error states.
A URL anyone can open, Docker for local setup, and a CI pipeline that runs the tests.
A README with an architecture diagram, the trade-offs you made, and numbers you measured yourself.
Take the most basic project there is, a to-do app, and turn it into a team task manager. Every feature you add forces you to learn one real engineering idea:
| Feature | What you have to build | What it teaches |
|---|---|---|
| 👥 Multiple users | Accounts, teams, invites, roles; every query scoped to the user's team | Auth, authorisation, multi-tenant data |
| 📅 Deadlines | Due dates in each user's time zone, overdue views, sorting and filters | Time zones, indexes, query design |
| 🔔 Reminders | A scheduler that finds tasks due soon and sends an email or push, exactly once | Background jobs, queues, retries, idempotency |
| ⚡ Real-time updates | When a teammate ticks a task, everyone's screen updates without a refresh | WebSockets, pub/sub, scaling connections |
Illustrative stack. Any language works; what matters is the parts: an API, a database, a worker and a real-time channel.
Familiar ideas, built the way real products are. Good first projects if you've only done tutorials so far.
Upgrade a to-do app into a task manager for small teams.
Short links with a dashboard of who clicked, when and from where.
A Splitwise-style app for shared bills in groups.
Group chat with presence, typing indicators and read receipts.
A reusable login service your other projects can plug into.
Products, cart, checkout and orders, with payments in test mode.
Pick a seat, hold it for a few minutes, pay, get a ticket.
Smaller versions of tools that developers and companies actually use. Each one has a hard part at its centre.
Track API uptime, latency, failures and alert when endpoints become unhealthy.
Save API collections, environments and auth tokens, and send requests from the browser.
Upload files, organise folders, share with others and keep version history.
Build restaurant menus, orders, delivery tracking and cancellation/refund workflows.
Toggle features without redeploying, with percentage rollouts and audit logs.
Let users register webhook endpoints and get events delivered, with retries, signatures and failure handling.
Infrastructure projects. Each one is a system design interview question you'll have actually built.
Build an API rate limiter supporting per-user limits across application instances.
Schedule tasks, run worker processes and report job status to users.
Collect logs from multiple services and search them, with traces you can follow by request ID.
Upload documents, ask questions, and show the retrieved passages that support each answer.
Trigger builds, run tests, collect logs and promote releases in a controlled demo environment.
Compare slow and optimised queries, and show why one is faster.
Spread traffic across several copies of a service and route around the ones that fail.
Pick by the job you want, not by what looks hardest:
| If you're aiming for… | Start with | Then |
|---|---|---|
| Full-stack roles | 1 Task manager · 6 Online store | 10 Drive clone · 11 Food ordering |
| Backend roles | 2 URL shortener · 7 Ticket booking | 13 Webhooks · 14 Rate limiter · 15 Job processing |
| DevOps / platform | 8 API monitor · 16 Log search | 18 Mini CI/CD · 20 Load balancer |
| AI engineering | 17 Chat with your PDFs | add 15 Job processing for the document ingestion |
| Product companies, any role | 12 Feature flags | 19 DB performance analyzer |
One project bullet should answer three things: what you built, the hard part you solved and how you know it works.
Built [what] with [stack] that [the hard part], measured [a number you actually measured].
docker compose up).Not if you build the full version. A URL shortener with analytics, caching and rate limits is a real project; one that only stores links isn't.
No. A well-structured single backend plus one worker process is enough for almost every idea here. Split things up only when you can explain why.
The one you know best, or the one the jobs you want use. The ideas work in Node, Python, Go, Java or anything else.
Plan in milestones instead of days: a working core, then auth, then the hard part, then deploy and README. Ship each milestone before starting the next.
Yes, if you rebuild the hard part (sharing and permissions in Drive, request collections in Postman) and say what you learned. Copying the look isn't the point.