CODEFORCES TRAINING / RECOMPILED

Stop solving random problems.

CF Recommender reads your Codeforces history, finds the topics holding you back, and builds a practice queue around the next useful difficulty.

Build my queue Inspect the system
Built by Shaun
NO GENERIC ROADMAPSNO BLIND GRINDJUST THE NEXT USEFUL PROBLEM

SYSTEM / 00

Less noise. Better signal.

MODEL / ACTIVEPROFILE
SIGNALCF
INPUT / 01

Profile history

Submissions + rating

Training baseline
DIAGNOSE / 02

Topic diagnostics

Solved + failed tags

Weak-area map
CALIBRATE / 03

Difficulty calibration

Current rating band

Next useful challenge

THE TRAINING PIPELINE

From profile data to deliberate practice.

Four stages. One objective: remove the guesswork between opening Codeforces and choosing what to solve.

  1. 1.0
    STAGE / 1.0

    Parse your profile

    Your submissions, rating, and solved history become the baseline.

    → PROFILE MAPPED
  2. 2.0
    STAGE / 2.0

    Detect weak areas

    Topic-level patterns expose the gaps that random practice keeps missing.

    → GAPS ISOLATED
  3. 3.0
    STAGE / 3.0

    Calibrate difficulty

    Problems are matched to the rating band that should stretch—not stall—you.

    → RANGE CALIBRATED
  4. 4.0
    STAGE / 4.0

    Queue the next problem

    You get a focused set of problems with a reason behind every pick.

    → QUEUE READY

MODES / 03

Built for the rating climb.

ACTIVE MODE / 02ONLINE
02

Break plateaus.

Target the recurring gaps that keep your rating in the same band.

FOCUS
Recurring weak tags
OUTPUT
Focused challenge set
READY WHEN YOU ARE

Your next problem should have a reason.

QUEUE ENGINESTANDING BY
Build my queue