Marjon Cajocon

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English / American checkers

English Draughts

The classic American game — men capture forward only — on a 128-wide NNUE.

NNUE neural network MMC Solo Dev

The engine

The evaluation is an NNUE neural network — 128 hidden units over 128 input features — written in C and compiled straight into the app. It is trained from self-play by a Go trainer, quantised to 16-bit integers, and evaluated incrementally so the search can afford to call it at every node.

The rules of this variant

English draughts — American checkers — is the most restrictive of the family. Men move and capture forwards only, and kings step one square at a time rather than flying. Capturing is mandatory, but you may choose which capture to play.

What you get

  • Play offline against a neural-network engine — no account, no connection
  • A real 3D board rendered with three.js, alongside the classic 2D board
  • Analysis board with an evaluation bar and best-move hints
  • Game review: step back through a finished game move by move
  • Custom position setup, pass & play on one device, and AI vs AI
  • Board and piece themes, and a rules panel for the variant

Screens

Click any image to view it full size. The 3D shots are the real board renderer, captured from the same page the app ships.

Marjon Cajocon

Software engineer · Talibon, Bohol, Philippines

I build game engines in C and the apps that ship them. Seven board-game engines, six of them running NNUE neural networks I trained myself, plus a from-scratch LLM engine written in dependency-free C.

Developer
MMC Solo Dev — the name my apps ship under on Google Play and the Microsoft Store
Primary
C — engines, evaluation, search, the LLM stack
Then
Go · Flutter (Dart) · Python · TypeScript / JavaScript
Certification
EDP Specialist — Civil Service, rated 94.65% (80% to pass)
Published
Six apps on the Microsoft Store, five on Google Play
Contact
marjoncajocon08@gmail.com
Code
github.com/marjoncajocon