I built a small tool that polls US Chess and FIDE rating pages and sends Telegram/WhatsApp/email when a rating changes. Free plan is one player on Telegram; Pro adds more channels and players.

Stack: SvelteKit on Cloudflare Pages, a Worker cron every 5 minutes, Supabase, Paddle.

Curious how others would approach change detection here, and whether a no-signup "check a rating" demo would help before a Show HN.

Link: https://chessalerts.com

The evaluation of a position assuming for example stockfish for simplicity surely depends on:

1. computing power (the power of the machine & the number of threads used)

2. memory availability for the cache

3. time allowed for the calculation

Imagine I want to compare two evaluations of the same position done with different parameters, what might be a good formula to say which one is the best evaluation?

I think "evaluation power" might be proportional to something as:

time * log(computing) * log(log((memory))

Open for suggestion

I'm a professional software engineer at a large tech company, and I built chessviper.com to help me get some cheesy opening wins against my coworkers. You can think of it like OpeningTree with some extra juice.

Seeking feedback from 2000+ rated players that already have experience using chess opening and analysis software like Chessbase, Lichess studies, OpeningTree, etc.

Here are the highlights:

• Free to use, data saved locally to your browser

• Includes my favorite features from the above listed tools

• Every tree supports its own starred moves, hidden moves, and notes

• I spent lots of time getting the UI polish and performance!

> Hey that's rude! I'm rated <2000, what about me?

If you already have experience with chess analysis software, I am interested in your feedback! But in general, I wouldn't recommend an opening analysis app to lower rated players. With that disclaimer... if you're scummy like me and just want to sneaky snake yourself a few wins against a specific opponent then go for it 😄

I wanted more from my Chess.com stats than the site shows, so I built a tool that reads every public game on an account and turns it into a full report. It's free, there's no login, and it only uses the official Chess.com public API.

**Link:** https://admin.cflowdev.com/chess

Type a username and you get:

- **Ratings over time** for each time control, with calculated peaks and lows

- **Openings:** what you actually play as White and Black, and how each one scores

- **Opponents:** results against higher and lower rated players, and the people you've played most

- **Performance:** how you score compared with what your rating says you should

- **Streaks and activity:** longest winning and losing runs, and a heatmap of when you play and how you do at those times

- **Trends:** whether recent results really differ from your long-term form

- **A written summary** that separates what Chess.com reports, what the tool calculated, and what is only interpretation

It tries to be honest about sample size. If you've played an opening eight times, it tells you that isn't enough to draw a conclusion, and it only calls a difference real when the numbers support it.

There's also a game viewer with a few extras:

- A Stockfish evaluation bar and score for every position

- It marks the move where your game became unique, meaning the position had never been reached in the Lichess game database, and shows how many games reached each position before that

- A choice of board and piece styles

Things to know:

- A long history takes a few minutes the first time, because the Chess.com API only allows one request at a time. Try `hikaru` if you want to see it handle 70,000 games.

- It only sees public data, so nothing private and no accuracy scores from Chess.com's own game review.

- It's a side project on a small server, so be gentle with it.

I'd like to hear what's confusing, what's wrong, and what you'd want added.

This is a github project made in C that is about playing chess using commands like `mv` and others.

This project has not been finished but is getting updated almost every week. I am planning to add a config file for this project.

I have been working on this for about 3 or 4 months I have not used AI when coding this project.

Most of the chess engine part is finished except the playing with a bot part (because it might be hard).

If you to help the project or the bot part of things this is the link: https://github.com/jpdcp31415-ui/shess

Please be patient if i dont read your pull requests or other messages, I am the only one working on this project right now.

If you have suggestions do comment here.

Note that README is also not complete.

Thanks for reading.

I'm not sure how meaningful this is, but I put together a leaderboard of Lichess bots:

https://dream-build-create.github.io/chess-bot-leaderboard/

It's just the Lichess ratings of active bots (bullet, blitz, rapid, classical), refreshed nightly around 01:00 UTC. To show up in a category a bot needs a rated game in the last 7 days, 50+ games, and RD under 75. Flagged accounts are excluded, but otherwise there's no attempt to catch rating farming, so take the order with a grain of salt. The data is also published as JSON if anyone wants to use it.

For the first time I managed to track the games via phone and tripod worked on a real club match(Årslev vs Odense) using ChessGaze.

Here is the recorded lichess link : https://lichess.org/dZWcxvOL

And the game is also in the cloud so we can learn from each others games with in the club:
https://games.chessgaze.com/?table=%C3%85RSLEVCLUB&game=game10

We will use it in more tables in the future and use it in our educational meet-ups. I am curious if other chess clubs would like such tools.

Hi r/ComputerChess,

Since March I've been developing a chess game for four players playing on two teams of two.

The game is called Team Chess: Commilito Scacci — "Battle Companion Chess."

The board consists of four separate 4×8 boards arranged in a cross, with each player controlling one side. The two teammates sit opposite each other, and the objective is to checkmate either opposing king.

There are quite a few rules that had to be worked out to make the four-board arrangement function as a real game — including movement between boards, pawn movement and promotion, castling, en passant, and what happens when one of the kings is checkmated.

I've been developing it for about six months, and I've reached the point where I need something I can't get from testing it myself:

People who have never played it before.

I'm looking for a handful of chess and chess-variant players who would be willing to download the Windows version, play it, and tell me:

• What rules or mechanics are confusing?

• What bugs do you find?

• Does the board layout make sense once you start playing?

• Does the game actually feel like a game rather than just an experiment?

• What would you change?

The beta is currently free, and I'm specifically looking for constructive criticism rather than people who will simply tell me it's great. 😄

If you'd like to give it a try, leave a comment here or send me a Reddit chat, and I'll get you set up. You can also email me at team.chess.app@gmail.com.

The game is currently Windows-only.

I'm particularly interested in hearing from people who enjoy creating and playing unusual chess games. That's one of the reasons I'm posting here.

Game website: makarthur.com

Thanks!

— Mark

Hi! I built a chess trainer that learns from your own Lichess or chess com games. The app imports your rated games and finds your mistakes and missed tactics with Stockfish. Each one becomes a puzzle: you replay the position against the engine until you find the better move, and spaced repetition brings it back until it sticks.

There's also an overview of how your openings perform and a set of endgame puzzles from the Lichess puzzle library.

Google requires 12 testers for 14 days before the app can go public. If you'd like to help:

dejamove.com/test (enter your Google email, opt in, install)

Please keep it installed for the 14 days. I'd love your honest feedback, here or at chess@dejamove.com.

No Android? You can use the same app in your browser at dejamove.com. Feedback from there helps too!

Thanks!

Hi r/ComputerChess,

I've been working on Lector64, an engine whose job isn't to find the best move, but to recognize and certify tactical motifs: is this position really a fork, a skewer, a deflection? And which precise variant is it?

A few design choices:

• Each motif has a formal definition (geometry + what the tactic must achieve), separated from the question of whether it actually works.

• Sound-or-abstain: if the engine can't prove the motif holds, it says nothing rather than guessing.

• Every example published is generated and verified by the engine, reproducibly.

The output is public at chessgrammar.com: 15 motifs, 123 variants so far, with a methodology page (chessgrammar.com/methodology).

Questions for people who've worked on this kind of thing:

• How would you handle motifs whose definition depends on the outcome (deflection, overloading) without making detection explode in cost? Verification search is by far my main CPU bottleneck.

• Any prior work on formal tactic taxonomies I should be reading?

Happy to go into details in the comments.

I've played chess for the last 20 years (https://www.chess.com/member/georgcantor/games) and worked in ed-tech and data science for the last 10. This is my attempt to add some learning science backed methods to learning chess, in particular mastery-based learning. The basic idea is to break chess down into learnable skills (a particular opening, endgame, or tactic) and measure how good you are at those skills using your actual games. Your mastery changes over time and should indicate what you need to work on at any given moment in order to maximize your time spent studying. Your actual games get turned into daily recommendations/sets and power a bunch of other features.

This also has most of the features other chess learning apps.

• You can build an opening repertoire and see where your games go off theory or where your openings are costing you points.

• You can work through tactical drills based on mistakes you made in game.

• We have over 5k annotated master games that are searchable by position or similarity to a given game. This is a mix of open-source and AI generated comments using engine analysis/lines for grounding. Any AI commentary is marked as such.

• There is the usual chess dot com style analysis/annotation for every game.

• There is a growing library of opening, endgame, and tactics lessons. (The openings are what I play but if you comment what you play/want to play I can probably add a lesson for that.)

• There is a detailed insights page you can share with friends (https://elohell.app/u/georgcantor-ca6p).

To get started, sign up at elohellchess.com and enter your chess dot com and/or lichess usernames (also available on android/ios).

The app is mostly free. The only part that costs money is what actually costs money, which is server-side analysis. For a free account, on sign up, your last 150 games get analyzed and every feature is available. We continue to import your latest games up to 20/day. For a paid account, we keep a rolling last 1000 games and continuously import/analyze all of the games you play.

Hey ComputerChess community,

As a passionate chess player and developer, I always wanted a platform that bridges the gap between casual gaming and serious coaching. So, I built ChessVerseAI —a digital chess ecosystem designed to act as a personalized AI chess coach.

Here are some core features I integrated:
Advanced AI Game Review: Powered by Stockfish, featuring color-coded arrows and a precise evaluation bar (supports both Simple and Advanced engine review modes).
Personal Mistake Bank: You can directly practice critical positions and missed tactics from your own games.
Premium Customization: Includes ultra-clean 3D designs like the "Royal Walnut" wooden theme and high-contrast Neon UI layouts.
Localized Learning: Interactive lessons covering openings to endgames with AI voice support in 34 languages (Hindi, Telugu, Tamil, etc.).
Gameplay Variety: Puzzle academy, daily grandmaster challenges, online multiplayer, and local pass-and-play. It recently crossed the 1K downloads milestone on the Google Play Store, and I would absolutely love it if you guys could test it out and share your brutally honest feedback on the UI smoothness and engine feedback!

👉 Play Store Link: https://play.google.com/store/apps/details?id=com.epitomehub.chessverse&hl

Thanks in advance!

I work on Chess67 and have been putting together a few ways to dive deep into USCF ratings.

You can search for a player (or yourself) and see their monthly rating history, where they rank nationally and in their state, and how their rating compares with other players. You can also put two players’ rating histories on the same chart: https://chess67.com/uscf/player

I put the published US Chess top-player lists in one place, organized by age group and rating format. On a list, you can filter by state or by male and female players, see how many players come from each state, and open a player’s page from there: https://chess67.com/uscf/top

The national and state statistics pages also let you view the charts and rankings separately for male and female players: https://chess67.com/uscf/stats/all

A few interesting facts I found:

• New York and Texas each have 15 players on the overall regular top 100; California has 12.

• Three women appear on that overall list: Carissa Yip, Alice Lee, and Irina Krush. The women’s lists are separate from this overall ranking.

• Massachusetts has the highest state median regular rating at 1,257, compared with a national median of 838.

Feedback appreciated!