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Chessvia.ai VS GNU Go

Compare Chessvia.ai VS GNU Go and see what are their differences

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Chessvia.ai logo Chessvia.ai

Chessvia AI offers a revolutionary chess experience with Chessy, your personal AI chess coach that speaks, listens, and adapts to your style.

GNU Go logo GNU Go

GNU Go is a free program that plays the game of Go.
Not present

Chessvia AI revolutionizes chess improvement with the world's first multi-modal AI chess coach that speaks, listens, and adapts to your unique playing style. Unlike traditional chess platforms that leave you analyzing alone, Chessy provides real-time, personalized coaching during every game.

Why players choose Chessvia AI: - Voice-Enabled Interaction - Ask questions mid-game and receive instant, spoken coaching feedback - Personalized Analysis - AI trained on your Chess.com/Lichess games to understand your strengths and weaknesses - Customizable Personalities - Choose from Roasty Chessy, Grandmaster Chessy, or Hustler Chessy to match your learning style - Seamless Integration - Import games from Chess.com and Lichess for comprehensive analysis - Adaptive Difficulty - Select from five difficulty levels that adjust to your rating - Multi-Platform Analysis - Review games via PGN upload, online game imports, or games played against Chessy

Whether you're struggling to break through rating plateaus, looking for more personalized coaching than standard engines provide, or simply want a more engaging way to improve, Chessvia AI delivers a premium chess learning experience.

At a fraction of the cost of human coaching ($7-29/month vs. $30-50+/hour), Chessvia AI makes personalized chess improvement accessible to everyone from dedicated beginners to serious competitors.

  • GNU Go Landing page
    Landing page //
    2020-04-15

Chessvia.ai

Website
chessvia.ai
$ Details
freemium $6.99 / Monthly
Startup details
Country
United States
Employees
1 - 9
Edit details

GNU Go

Website
gnu.org
$ Details
-
Edit details

Chessvia.ai features and specs

  • Play Page
    Experience real-time chess advice through voice interaction as you play against Chessy, your AI chess coach that adapts to your skill level and answers strategy questions mid-game.
  • Chat Page
    Ask your AI chess tutor anything about openings, principles, or get personalized insights based on your actual games - transforming how players learn chess tactics and strategy.
  • Analyze Page
    Import games from Lichess, Chess.com or via PGN to discover patterns in your play - a powerful chess analysis assistant that goes beyond what traditional chess engines offer.
  • Multi-modal
    Communicate with your ai chess coach through text or voice while receiving detailed position analysis and move recommendations - the multi-modal approach that makes learning chess more intuitive.
  • Adaptive
    Get personalized artificial intelligence chess coaching tailored to your skill level as Chessy adapts to your playing style and rating - an intelligent chess training system that grows with you.
  • Customize Page
    Tailor your chess training environment with various board themes, voice options, and sound settings for a comfortable practice session with your AI chess assistant.

GNU Go features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Chessvia.ai and GNU Go)

Chessvia.ai

GNU Go

Chess
81 81%
Chess
19% 19
Online Games
0 0%
Online Games
100% 100
Games
81 81%
Games
19% 19
Board Games
100 100%
Board Games
0% 0

User comments

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What are some alternatives?

When comparing Chessvia.ai and GNU Go, you can also consider the following products

Chess.com - Play chess on Chess.

KaTrain - Improve your go by training with KataGo.

Noctie.ai - Practice chess against a humanlike chess AI & coach

Sabaki - Sabaki is cross-platform graphical UI for Go/Baduk/Weiqi game board and SGF (Smart Go Format) editor. Free, open source, based on Electron.

Aimchess - Learn chess your way with AI tools and data driven approach.

Fuego - Fuego is a collection of C++ libraries for developing software for the game of Go. It includes a Go player using Monte Carlo tree search.

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