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CompTrack

Competitive Programming deserves better tooling.

CompTrack is a tracker for competitive programmers.

It synchronises submissions, contests and problem history across multiple online judges into a single place, then builds useful analytics on top of that data.

The project started because my tracking system slowly became a collection of spreadsheets, markdown files and scripts. It worked, but it was tedious to maintain and impossible to scale. Every contest meant updating ratings, solved counts, topic progress and revision schedules manually.

Competitive programming already has excellent judges.

What it lacks is good tooling around learning.


Philosophy

CompTrack is built around a few simple ideas.

  • Never manually track progress.
  • Learning is more important than statistics.
  • Every feature should reduce friction.
  • Data should be connected rather than duplicated.
  • Multi-judge support should be a core design decision, not an afterthought.

A tracker should help people spend more time solving problems, not maintaining the tracker itself.


Design Goals

CompTrack should answer questions like

  • What topics am I weakest at?
  • What should I revise today?
  • Am I improving?
  • Where is most of my practice time going?
  • Which contests do I consistently perform well in?

instead of simply reporting

  • Problems Solved
  • Current Rating
  • Contest Count

Statistics are useful.

Insights are better.


Features

Automatic Synchronisation

Connect your online judge accounts once.

CompTrack imports

  • submissions
  • contests
  • rating history
  • solved problems
  • problem metadata

No spreadsheets.

No CSV imports.

No manual logging.


Analytics

Every submission contributes towards a larger picture.

Current analytics include

  • rating progression
  • topic mastery
  • activity heatmaps
  • contest history
  • solve velocity
  • streaks
  • practice distribution
  • revision history

Future work will focus more on learning-oriented analytics than visualisations.


Problem Management

Each problem stores more than a verdict.

Problems can contain

  • personal notes
  • mistakes
  • alternative solutions
  • revision history
  • collections
  • tags

The goal is to build a long-term knowledge base rather than a solved counter.


Search

Every submission, contest and problem should be searchable.

Examples

  • judge:codeforces rating:1600
  • tag:graphs solved:false
  • contest:educational
  • language:cpp

Search should feel instant regardless of dataset size.


Supported Judges

Initial support focuses on

  • Codeforces
  • AtCoder
  • CSES
  • Kattis

Future integrations include

  • CodeChef
  • DMOJ
  • SPOJ
  • LeetCode
  • USACO
  • VJudge

Judge integrations should remain modular and independently maintainable.


Principles

Automation

Repeated work should be automated.


Simplicity

The interface should remain simple even as functionality grows.


Performance

Most interactions should complete instantly.

Searching.

Filtering.

Switching pages.

Synchronising.


Extensibility

Adding another judge should require minimal changes to the rest of the application.


Stack

Frontend

  • Next.js
  • TypeScript
  • Tailwind CSS
  • shadcn/ui
  • TanStack Query
  • Framer Motion

Backend

  • FastAPI
  • PostgreSQL
  • SQLAlchemy

Roadmap

Stage 1

  • Authentication
  • Codeforces synchronisation
  • Dashboard
  • Contest history
  • Submission history

Stage 2

  • Multi-judge support
  • Notes
  • Collections
  • Topic analytics

Stage 3

  • Revision system
  • Public profiles
  • Practice recommendations
  • Plugin architecture

Each stage should provide immediate value.


Long-Term Vision

CompTrack is not intended to become another online judge.

It aims to become the layer above them.

A system that understands a competitive programmer's entire learning journey across platforms, making practice measurable, searchable and significantly easier to manage.

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