What is ChessPecker?
ChessPecker is a tactical training platform that implements the Woodpecker Method — an intensive repetition system designed to transform your pattern recognition.
Unlike random puzzle apps, ChessPecker gives you carefully curated sets that you solve in multiple cycles, each time faster and with greater accuracy.

Three pillars
What makes it different from a random puzzle appSmart curation
Smart curation means puzzles matched to your skill level, not random selections.
Cycle training
Cycle training lets you re-solve the same sets for pattern mastery, building neural pathways that make tactical recognition automatic.
Progress tracking
Progress tracking provides detailed analytics to see your improvement, including accuracy trends, speed improvements, and weak pattern identification across each training cycle.
The Philosophy
Bobby Fischer, Buenos AiresEvery feature, every algorithm, every piece of the training system is built around one simple idea:
make chess improvement as efficient as possible.
No ads, no fluff — just effective training tools for chess players who want to improve.
I'm 23, and last year something clicked. I became absolutely obsessed with chess. What started as casual games quickly evolved into studying grandmaster games at 2 AM, analyzing positions for hours, and dreaming about tactical patterns.
But as I dove deeper into training, I realized most chess improvement is really a data problem — you need the right puzzles, at the right difficulty, reviewed at the right intervals. It's not just about solving thousands of random tactics; it's about creating a systematic approach where each puzzle builds on the last, reinforcing patterns until they become automatic.
Yet existing systems felt unintelligent. Random puzzles thrown at you with no context. No real progression tracking beyond simple ratings. No understanding of what you actually need to work on, or which specific patterns you're struggling with. Most platforms seemed built for engagement metrics rather than actual learning efficiency.

Every feature, every algorithm, every piece of the training system is built around one simple idea:
make chess improvement as efficient as possible.
No ads, no fluff — just effective training tools for chess players who want to improve.
1What is ChessPecker?
Woodpecker Method
Gukesh vs CarlsenChessPecker is a tactical training platform that implements the Woodpecker Method — an intensive repetition system designed to transform your pattern recognition.
Unlike random puzzle apps, ChessPecker gives you carefully curated sets that you solve in multiple cycles, each time faster and with greater accuracy.
2Smart curation
Puzzles at your level
Smart curation means puzzles matched to your skill level, not random selections.
3Cycle training
Same set, faster every time
Cycle training lets you re-solve the same sets for pattern mastery, building neural pathways that make tactical recognition automatic.
4Progress tracking
Accuracy, speed, weak patterns
Progress tracking provides detailed analytics to see your improvement, including accuracy trends, speed improvements, and weak pattern identification across each training cycle.
5My Story
Why ChessPecker exists
I'm 23, and last year something clicked. I became absolutely obsessed with chess. What started as casual games quickly evolved into studying grandmaster games at 2 AM, analyzing positions for hours, and dreaming about tactical patterns.
But as I dove deeper into training, I realized most chess improvement is really a data problem — you need the right puzzles, at the right difficulty, reviewed at the right intervals. It's not just about solving thousands of random tactics; it's about creating a systematic approach where each puzzle builds on the last, reinforcing patterns until they become automatic.
Yet existing systems felt unintelligent. Random puzzles thrown at you with no context. No real progression tracking beyond simple ratings. No understanding of what you actually need to work on, or which specific patterns you're struggling with. Most platforms seemed built for engagement metrics rather than actual learning efficiency.