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Chesshunter
Quiet
#2792 Radar 47

Automates chess opponent analysis, finding exploitable tendencies for tournament players.

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Product memo

Competitive chess players gain an edge by automating opponent analysis. It indexes past games from Chess.com, Lichess, and FIDE, then uses AI to pinpoint opening weaknesses and scoring opportunities. This approach replaces hours of manual preparation, giving serious players a data-backed path to improve tournament results.

For who

Chess tournament players

Solves what

Automates opponent analysis for chess players

  • AI-powered opponent analysis
  • Opening repertoire comparison
  • Player tendency insights

In their own words

AI-Powered Chess Opponent Preparation

Playing this weekend? ChessHunter analyzes your opponent's real games from Chess.com, Lichess & FIDE to find the openings where you score and they blunder. Prep in minutes, not hours.

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier gives players basic analysis, lowering adoption friction.
  • A custom tier serves professional players needing specialized analysis volumes.

Operator context

Operating setup

Founded

Jan 2026

Platform

Web app

Audience

General

Payments

Stripe

Detected via TrustMRR

Social footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Pre Revenue
Effort
Solo Buildable
About Chesshunter Expand

ChessHunter provides competitive chess players with AI-powered opponent analysis, simplifying tournament preparation. It pulls game data from major platforms like Chess.com, Lichess, and FIDE, then identifies openings where a player scores well and their opponent tends to blunder.

This focused approach helps serious players gain a competitive advantage by replacing manual research with data-backed insights. The platform’s ability to compare opening repertoires and export PGNs makes it a targeted tool for those looking to refine their strategy and practice against a Twin Bot that mimics opponent styles.