One Semester, Zero Dollars: We Stacked Free Hosting Under a CS Student's Entire Life
Photo: college student laptop coding dorm room late night, via images.stockcake.com
College is expensive. Hosting your semester's work shouldn't be. So we ran an experiment: could a computer science junior get through an entire 15-week semester — every class project, every hackathon demo, a portfolio site for internship applications, and the study-group Discord bot everyone actually depended on — without spending a single cent on infrastructure?
We gave our fictional student, whom we'll call Maya, a typical course load: a databases class, a web development course, an operating systems project, and a hackathon in October. Then we mapped every academic need to a free tier and kept receipts. Here's how it shook out.
The Stack, Need by Need
The resume site (static, needs to look professional). Internship recruiting season kicks off in September, so this had to be live first. A static site generator pushed to a free static host was the obvious play. Free custom HTTPS, a subdomain that reads fine on a resume, and deploys that take seconds. Total setup time: about an hour on a Sunday afternoon.
The databases class project (a Postgres-backed inventory app). This was the trickiest piece. Maya needed a real relational database with a free tier that wouldn't sleep her data into oblivion between class sessions. We paired a free Postgres-as-a-service offering with a small free-tier app host. The catch we documented: several free database tiers pause after inactivity, so Maya set up a weekly cron ping to keep hers warm. Annoying, but free.
The operating systems project (a C program, demoed locally). Honestly? A laptop. Not everything needs hosting, and knowing when to skip the cloud is itself a skill. We note this because half the free-tier disaster stories we see start with someone hosting something that didn't need to be hosted.
The Discord bot. A small always-on Node process. This is where free tiers get dicey — most serverless platforms charge for always-on compute or kill the process after idle timeout. We landed on a free container tier that allowed one small always-running instance, with a restart-on-crash policy and a lot of prayer.
The hackathon demo. For the October hackathon, Maya deployed a React frontend on a free static host and a Python API on a free serverless tier. Cold starts were the enemy — judges don't wait 30 seconds for your demo to wake up. We'll have more to say about that in a moment.
Where the Free Tiers Buckled
The semester went smoothly until it didn't. Finals week, naturally, was the stress test.
The bot died during a study session. In early December, with twelve people in a Discord voice channel relying on Maya's scheduling bot, the free container host rebooted it mid-session. Downtime lasted about ten minutes — long enough for chaos, not long enough to matter. Lesson: free always-on compute means you accept random restarts as a fact of life.
Cold starts nearly torched the hackathon demo. The Python API on a serverless free tier took roughly 25 seconds to wake from a cold start. Maya's workaround — a keep-alive ping from a free cron service every ten minutes — worked, but it's the kind of duct tape that free hosting demands.
The database paused at the worst time. The inactivity-paused Postgres tier suspended Maya's final project demo database the night before it was due. A quick manual restore fixed it, but we logged it as the single scariest moment of the semester.
The Real-Dollar Tally
So what did Maya's $0 semester actually replace? We priced the closest paid equivalents:
- Static hosting with custom domain support: ~$5/month
- Small Postgres instance: ~$15/month
- Always-on container for the bot: ~$5/month
- Serverless API with generous limits: ~$5/month
Run that across four months and you're at roughly $120 — real money for a student eating dining-hall food. Even against a cheap shared host at $3/month, free tiers saved about $12 plus the hassle of managing a server Maya didn't need.
What We'd Tell Every Student
Three takeaways from the experiment. First, match the workload to the tier: static sites are free-tier royalty, always-on bots are the hardest thing to do for free. Second, build for restarts — anything on a free tier should assume it can vanish and come back. Third, keep a local backup of anything you're getting graded on. Free tiers are fantastic, but a paused database the night before a final project demo is a risk you don't take twice.
Maya finished the semester with a live portfolio, a working bot, four deployed projects, and a $0 infrastructure bill. That's a GPA-friendly outcome if we've ever seen one.