Every industry has its own alphabet soup of acronyms. In tech alone, you encounter API, SDK, CI/CD, ORM, SaaS, and hundreds more. When I joined a new team, I spent the first few weeks constantly Googling acronyms that everyone else used casually. I wished there was a fast, clean tool to look them up. So I built one.

Acrons is a simple web app that lets you search for acronyms and get instant results. Here is the story of building it from scratch and shipping it.

The Problem

Existing acronym lookup tools had issues:

  • Acronym Finder - cluttered with ads, slow, and returns too many irrelevant results
  • Google - works, but you have to sift through SEO-optimized articles that bury the answer under paragraphs of filler
  • Wikipedia - great for well-known acronyms, but misses niche ones and industry-specific terms

I wanted something that was fast, clean, and focused. Type an acronym, get the meaning instantly. No ads, no clutter, no ten paragraphs before the answer.

Tech Stack Decisions

For a small, focused tool like this, keeping the stack simple was critical. I did not want to spend months on infrastructure when the core value is a search box and a results list.

Frontend: React with Create React App. I considered going with plain HTML and JavaScript, but React's component model made it easy to handle the search input, results list, and loading states cleanly.

Backend: Go with a simple HTTP server. No framework - just the standard library's net/http package. The API has exactly two endpoints: one for searching and one for fetching a specific acronym. There was no need for anything more complex.

Database: PostgreSQL with a full-text search index. The dataset is small enough that a simple ILIKE query would work, but full-text search gives better ranking and handles partial matches well.

-- The core table
CREATE TABLE acronyms (
    id SERIAL PRIMARY KEY,
    abbreviation VARCHAR(20) NOT NULL,
    full_form TEXT NOT NULL,
    category VARCHAR(50),
    description TEXT,
    search_vector tsvector
);

-- Full-text search index
CREATE INDEX idx_acronym_search ON acronyms USING GIN(search_vector);

Hosting: A single $5/month VPS on DigitalOcean. The Go binary, Postgres, and Nginx all run on one machine. For this scale, anything more would be over-engineering.

Building the MVP

I time-boxed the MVP to two weekends. The constraint was intentional - without a deadline, scope creep would kill the project. Every side project I abandoned before had one thing in common: I kept adding features before shipping.

Weekend 1: Backend API, database schema, data seeding. I scraped a few public acronym databases and cleaned the data into a consistent format. The API was functional by Sunday evening.

Weekend 2: Frontend, styling, deployment. A search input with debounced requests, a results list with the acronym, full form, and category. I used a dark theme because it looked better and was faster to design than getting a light theme right.

What I intentionally left out of the MVP:

  • User accounts
  • The ability to submit new acronyms
  • Categories and filtering
  • An API for third-party use

All of these are nice-to-haves. None are needed for the core use case: look up an acronym quickly.

Launching

I shared Acrons on a few platforms:

  • Product Hunt - Got about 50 upvotes on launch day. Not a blockbuster, but enough to drive a few hundred visitors and validate that people found it useful.
  • Hacker News (Show HN) - Mixed reception. Some people liked the simplicity, others pointed out that a browser extension would be more convenient (fair point).
  • Reddit (r/webdev, r/SideProject) - A few encouraging comments and useful feature suggestions.

The launch taught me that distribution is harder than building. I could have spent another month polishing the product, but the time would have been better spent on getting it in front of more people.

Lessons Learned

Ship the smallest useful thing

The MVP had maybe 30% of the features I originally planned. But it solved the core problem. Everything else could wait until I knew whether anyone cared.

Simple tech scales further than you think

A single Go binary serving a React build from a $5 VPS handles thousands of requests per day without breaking a sweat. I could have started with a serverless architecture, a CDN, and a managed database, but none of that was necessary.

Data quality is the real product

The search algorithm and UI are commodities. What makes an acronym tool useful is having the right acronyms with accurate, well-written definitions. I spent more time cleaning and verifying data than writing code.

Side projects need constraints

A two-weekend deadline, a minimal feature set, and a launch date announced to friends. Without these constraints, the project would still be sitting on my local machine as a half-finished experiment.

If you have a side project idea, set a hard deadline, cut the scope until it fits, and ship it. The learning from launching is worth more than the learning from building.