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SentryChess focuses on helping players understand what changed after their moves and why those changes mattered. It combines engine-backed explanations with Move Impact metrics that show changes across different aspects of a position, game-level Position Overview summaries, and five visual heatmap modes.
Rather than treating an engine evaluation or continuation as the complete review, SentryChess organizes chess analysis into explanations and visual tools designed to make the consequences of individual moves easier to understand.
SentryChess is designed for players who want a clearer understanding of their games beyond engine scores and suggested continuations.
While established chess platforms already offer useful game analysis and explanations, SentryChess takes a different approach by emphasizing how moves change a position. Its engine-backed explanations, Move Impact metrics, game-level summaries, and visual heatmaps provide complementary ways to examine those changes.
Players can try three complete game analyses free before deciding whether the review format suits their needs.
SentryChess is primarily designed for beginner, intermediate, and club-level chess players who want to understand their games more clearly.
It is particularly relevant to players who regularly review their games but sometimes struggle to understand why a move was good, bad, or positionally important, even after seeing an engine evaluation.
Chess coaches, instructors, and adult improvers may also find its explanations and visual review tools useful for studying and discussing games.
SentryChess started from the idea that knowing whether a chess move was good or bad is not always the same as understanding why.
Existing chess analysis tools can provide evaluations, recommended continuations, and explanations, but a position can change in several ways at once. Understanding which of those changes mattered most can still be challenging for improving players.
I began building SentryChess to explore a different approach to game review, combining engine-backed analysis with structured chess evidence, positional metrics, and visual explanations.
After an extended development process, SentryChess launched publicly in April 2026. The project continues to be independently developed and improved, with the goal of making chess game reviews more understandable and useful.
SentryChess uses a Vite-based web frontend and a Node.js/TypeScript backend, with MongoDB for data storage and Auth0 for authentication.
Its chess analysis is built around Stockfish engine evaluations combined with structured board-state analysis and deterministic chess rules. The engine infrastructure uses Google Cloud Run, while Cloudflare supports the web deployment.
Paddle handles subscription billing and payment processing.
The system uses engine-backed chess reasoning rather than relying on an LLM to interpret chess positions directly.
SentryChess is an early-stage product launched publicly in April 2026. There are currently no publicly disclosed major customers or customer references.
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