The void
Deep charcoal-to-midnight bases feel infinite and calm. Content floats in negative space: we emphasize absence (the mistake you don’t see yet) as the hero, not busy boards or stock photos.
Train the negative space
The void is where your new rating hides
Train against specific opponents or close your own gaps.
We map what’s weak: repeated opening mistakes, strategic blind spots, missed tactical chances, and more. This is where games keep leaking and the real traps live.
Then we build training around those gaps. Not just generic drill queues.
Connect a player
Lichess: we load recent games in your browser and run Stockfish WASM on the next page. Chess.com: still needs a server-friendly fetch (rate limits & CORS)—see the note below.
Why not only the browser? Sites control CORS: your page at chessvoid.com cannot always call chess.com directly. A small backend (e.g. Python with the Chess.com API client) can fetch games and hand them to the browser for Stockfish-style analysis later.
Visual identity
Void, neon, and signal—so the product feels like precision tooling, not another chess skin.
Synthwave signal
Magenta and cyan are functional accents—links, focus, progress, “you are here.” A horizon grid and soft bloom suggest forward motion and analysis depth without retro kitsch.
Typography
Plus Jakarta Sans for titles, nav, and controls; Sora for reading and explanations. UI uses a neutral-width sans so labels stay compact; hero titles use the same family at heavier weights.
Void base
Lift
Magenta
Cyan
Amber
Two ways to train the gap
Same engine: learn what you’re missing, then close it with purpose.
Play like their kryptonite
Point at a chess.com or lichess.org username. We model how they create pressure—openings they lean on, time trouble habits, endgame shortcuts— and shape reps so you’re drilling their patterns, not a textbook’s.
- Opponent-informed scenarios & sparring lines
- Stress tests on positions they actually reach
Illuminate your own blind spots
Connect your account and we aggregate your games and puzzle history to find recurring failure modes—theme-level weaknesses, phase leaks, and “almost” moves that cost half-points.
- Adaptive puzzle quizzes targeting weak themes
- Game mining → tailored plans & progress tracking
Early access
We’re defining the training graph: ingest games, tag themes, schedule reps. Leave your email if you want in when the first slice ships.
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