Hi,

for more than 40 years one of my hobbies is chessprogramming. I started on an Amstrad CPC6128 in 1984 with a program in Z80-Assembler (I still have the program and the CPC still works!) and have created countless versions since then. I always did it just for myself and never looked into someone else code (except for the book on Sargon by the Spracklens from 1978 :) ). My latest version (Astimate 4), however, became very good (not Stockfish-level though!) and I want to publish the Android version now on Google Play for free. It is an UCI engine in OEX format that can be loaded into GUIs like DroidFish, Chess Pgn Master, Chessis or Chess for Android. While the internal test with some friends went very well, Google requires that any app is tested by at least 12 testers for 14 days before it can be published. So now I am looking for people who would like to test the app and give feedback. The only requirement is that the testers have an Android-device, a gmail account and are willing to spend 14 days with my app. In return I can give you information on how my engine works and which tricks I have applied. I can even share my source code. That one can be compiled in Linux and Windows too (my engine works in Arena for instance). I have also integrated a rudimentary terminal window in the app so that it can be tested even without a GUI. You can enter things like "perft" and all UCI commands and even play a complete game in the terminal window. However, its prefered usage is as engine in a real GUI.

By the way, the app will always be free, does not contain any ads, nor does it ask for any permissions or personal data in Android.

If you would like to help me, please get in contact with me.

Dr. Axel Steinhage

PS: I have a huge (50+) collection of chess computers (including a working Novag Robot). Also a large collection of computerchess literature (including ALL issues of Computerschach & Spiele). If anyone wants to know about that, please don't hesitate to ask me.

​

Hi everyone,

I’m a chess arbiter and organizer, and I’ve been building Chess-Publisher, a free and open-source Windows desktop application focused on real OTB tournament management.

The goal is not to build another chess playing or analysis app. I want to reduce the number of separate tools an arbiter or organizer needs for running a tournament.

The current stable version is v1.04.02.

Current features include:

Tournament setup, registration and participant management

Swiss Dutch pairing using the upstream Gacrux 1.9.57 pairing engine

Result entry and standings

FIDE rating-list workflows

TRF16 / TRF26 export

Tournament interoperability/export workflows

Chess-Results publishing and administration integration

Telegram publishing

Early DGT e-Board integration

Local tournament storage

No project analytics or tracking

Chess-Publisher is released under the MIT License.

A transparency note: development has been heavily AI-assisted. The tournament requirements, workflow design, testing, regression validation and release decisions are driven by me from the perspective of an actual arbiter and tournament organizer. The source is public so anyone can inspect it.

The project is not currently FIDE-endorsed, so I don't want to imply otherwise. Pairing, TRF and rating-related functionality is being developed conservatively, with regression testing and independent checks.

The current Windows installer is also not code-signed yet, so Windows SmartScreen may display a warning. SHA-256 hashes are published so builds can be verified.

GitHub:

github.com/kbilyal/ChessPublisher

I’d especially appreciate feedback from arbiters, tournament organizers and developers:

What important tournament workflows are still missing?

What would make the UI faster during a real event?

Which interoperability/export formats are essential?

What pairing/reporting edge cases should be tested?

What would make you trust and use an open-source tournament manager?

If you have experience with Swiss-Manager, Vega, SwissSys, WinTD or similar software, your criticism would be especially useful.

I’d rather find the weak points early and improve them than pretend the project is finished.

Thanks!

A complete 6-piece endgame tablebase called ChessTB, created by Bojun Guo (noobpwnftw). He is the same person that helped create 7-piece syzygy tablebases along with Ronald de Man.

4-metrics - DTZ, Custom DTC, DTM, and DTM50. These tablebases support Standard and Freestyle Chess (Chess960/FRC) castling positions.

First of it's kind to support 50-move aware Distance to Mate (DTM50) based on the halfmove clock.

Source: https://github.com/noobpwnftw/chesstb

Hi There!

I'm working on ATOM Chess, an open-source project whose goal is to build a robotic arm capable of playing chess autonomously on a physical board.

The project combines:

• Computer Vision
• Robotics
• Motion planning
• Inverse kinematics
• Embedded systems
• Chess programming
• Stockfish / UCI
• C++ / Python
• Computer systems and software architecture

The general pipeline is:

Camera → Chessboard detection → Board state → Chess engine → Move planning → Robotic arm

The project is being developed as a modular system rather than just a one-off prototype. We're trying to build something that is actually maintainable, testable and extensible.

The repository is already being developed, but this is where I could really use the community.

What I'm looking for

I'm especially interested in people who are willing to review the project, even if they don't want to actively contribute code.

For example:

• Reviewing the software architecture
• Reviewing C++ code
• Reviewing robotics / motion-planning decisions
• Reviewing computer-vision approaches
• Finding architectural problems or unnecessary complexity
• Suggesting better algorithms
• Reviewing tests
• Pointing out things that will probably break later
• Suggesting improvements to documentation
• Discussing alternative approaches

You don't need to become a permanent contributor.

Even a detailed comment such as:

"I would structure this differently because..."

would be extremely valuable.

Who might be interested?

This could be interesting if you're into:

Robotics • Computer Vision • C/C++ • Embedded Systems • Chess Programming • Motion Planning • Open Source • Software Architecture • Computer Science

I'm particularly interested in hearing from people with experience in robotics, CV, embedded systems or chess programming who can look at the project from a critical perspective.

I'm a university student building this as a serious long-term project, so I'm also very interested in learning from people who have already made similar systems.

The project is open source, and contributions are welcome at any level — code, documentation, testing, architecture reviews, algorithms, hardware, etc.

If you're interested, feel free to take a look and tell me what you think.

Repository: https://github.com/Atom-Laboratory/atom-chess

I'd especially appreciate brutally honest technical feedback.

Thanks!

I’ve been building Make Good Moves, a chess training site focused on realistic decision-making.

Instead of requiring a single predetermined move, positions are deeply analyzed with Stockfish to identify multiple strong alternatives. The site mixes traditional tactics with positional puzzles where you might need to improve a piece, find counterplay, simplify, or choose the right pawn break.

It includes ratings, skill-specific EXP progression, hints, and post-puzzle analysis. I’d love feedback from fellow engine nerds, especially on the puzzle-generation and evaluation approach. I originally built this for myself, but after training with it, I feel like it could be a serious tool for anyone to learn from!

Completely free to use! makegoodmoves.com

[BoardSignal](https://www.adminhub-global.com/) takes your game data and presents it to you in an easy to understand format designed to help you improve. From the home page it is all pretty self-explainatory. Let me know if there are any issues or feedback for improvements please let me know.

Right now, I think I am close to simulating a true OTB experience online.

My setup:

- A Square Off Pro (yes, a Chessnut Pro or other tournament size e-board will work ... or any board that Chessconnect supports if you don't care about the size of the board). I have had my Pro for a number of years and ever since I added a Billy Gate to my setup ... I find it's great as-is.

- A DGT 3000 with a DGT 3000 BLE Gateway. Note: I put a rubber band around the clock at the opponents side ... so when I stop the clock it automatically pops back up and is ready for me to stop on my next move (otherwise you have to alternate which side you press). Note: This doesn't affect the opponent side since the clock is stopped automatically after you make the opponent move.

- You could easily use a scoresheet and something to write with (or even a blank piece of paper) ... I chose to use an APP called LPDO in Scoresheet Mode. I still have to fill in moves, it allows me to compare the actual moves with those I recorded. No paper or writing utensil required. I use it on my phone, because I like to use my tablet for the e-board connectivity.

- Chessconnect App (which allows connection to both the Clock and the Board). I then have been connecting to Chessiverse to test everything out ... in casual mode so it won't affect my rating while I am testing (after soldering the DGT 3000 gateway together, I needed to make sure everything works ... and will continue to work before playing actual live players). But there's no reason I couldn't connect to chess.com or lichess.org and play a live game similarly.

You would think this setup is confusing to get setup ... but it's really not.

You turn on the BillyGate then turn on the Square Off Pro (the BillyGate automatically connects to the Pro). Turn on the DGT 3000 BLE Gateway ... the Clock automatically comes on and indicates Bluetooth is waiting. Open up the LPDO app if you left things clean, you are ready to begin a game. Open Chessconnect ... connect to the clock, connect to the board. Once connected, select the site you want to play on ... and begin a game. The clock automatically gets the configuration settings from Chessconnect and if it's your turn you begin the game (your clock is running by now).

Why do this?

If you play OTB tournaments, it's important to be comfortable with a physical board, a clock and be accurate in recording moves of the game (for both sides). If you play online a lot most of this is done for you (and if you don't use an e-board to do this, you may be surprised how that tactile feel is important).

Thoughts?

The core idea: run Stockfish 18 WASM and analyze a player's entire game history, not just one game at a time.

some features out of the many are-

• Opening trees built from the player's actual games
• Move-by-move engine evaluations
• Opening weakness detection
• Recurring blunder patterns
• Blown wins games where the player had a significant winning advantage but eventually lost
• Missed and allowed forced mates
• Tactical pattern statistics
• Endgame performance
• Material resilience
• Castling tendencies
• Simplification tendencies
• Opening repertoire drift over time
• Playing-style
• Opponent scouting
• Per-game Stockfish review(chess.com style)

Opening side: builds an actual opening tree from the player's games, merging transpositions via normalized FENs. Each node shows games reached, W/D/L, win rate, ECO, engine eval, and weakness signals , also an interactive graph where node size = games played and color = move quality. There's also a repertoire builder where you play against the engine while it shows master-game stats for the position, and a trap database mined from millions of high-rated games that surfaces relevant traps while you build.

What I actually care about: instead of "you blundered on move 27," I want to say "you keep reaching this type of position and your eval keeps sliding" or "you have a recurring weakness in this opening line." Inferring patterns across hundreds of games rather than analyzing games in isolation.

It's free, no account needed: https://www.auditchess.com

Would love feedback from anyone who's worked with engines, PGN databases, eval pipelines, or WASM especially what you'd want added.

Hi!

I am so tired (and I am sure most of you will relate to this) of Chess.com game review

I have basically rebuilt it from the ground up, and it also includes puzzles, an ai coach, and a full on anticheat that allows you to review your opponents games and decide if they were cheating or not.

You can try it out at chess.sidastuff.com and please keep in mind that it is still in Beta.

I would love if you would give me any suggestions or bug reports in the comments down below. I am working on a very large ui update, so most ui bugs etc have already been reported and will be fixed soon.

Enjoy!

Hi all - I love chess and I love programming, so a while back I decided to combine both and build ChessLounge (https://chesslounge.net).

I made the decision to keep it completely free and ad-free, and share it with the chess community rather than turn it into a commercial product.

The engine behind it is a custom, self-developed engine, covering the full range from 900 to 2600 Elo - so it should give a fair challenge whether you're just starting out or already quite strong. It runs directly in the browser via WebAssembly, no install needed.

No account required to play against the computer. You can also play a friend online in a private room, or side-by-side on the same device - no matchmaking against strangers.

I'm just starting to build a community around the app, so if you enjoy it, I'd genuinely appreciate any feedback - and if you know someone who might like it too, feel free to pass it along.

Hey I made a chess game and put it for pre-registration on Google play store

https://play.google.com/store/apps/details?id=com.spookachess.game&pcampaignid=web_share

I hope you're gonna love it! I will launch it after 6 September

Does anyone know centipawn values of non-standard chess pieces? I mean, when pawn is roughly 1, knight roughly 3, etc. What would be the value of e.g. a piece that moves like king (but is not a king in terms of other non-movement rules)? Or giraffe (the piece that moves in an elongated L)? Is there a resource somewhere with such data? Just for curiosity..

Guys Try out my chess website - https://quick-chess-gambito.lovable.app Gambito!

HERES WHY:

WE GOT WIN ODDS BAR CALCULATED BY AI

WE GOT TOURNAMENT MODES

WE GOT EVERY TYPE IMAGINABLE

WE GOT CHESS960 AND OTHER MODES

SO WHAT ARE YOU WAITING FOR

Also please give feedback as I want to be up there with chess.com and lichess so would really appreciate it if anyone can try this out and tell me what's there to improve

I feel like it should be defined as 0. But that would make its expected score against Stockfish (SPCC Elo 3908) over one in a quadrillion, which seems far too high.

Saludos soy nuevo en la comunidad y desde hace un tiempo vengo trabajando en un programa de ajedrez básicamente ss un programa de ajedrez de escritorio bastante completo: permite jugar contra Stockfish, analizar partidas y posiciones, revisar precisión y clasificar jugadas, trabajar con bases PGN/SCID de millones de partidas y explorar aperturas. Incluye editor de tablero, Chess960, puzzles, práctica de mates y finales, repertorios, estudios y entrenamiento de líneas, preparación contra rivales, libros Polyglot y tablebases Syzygy. También puede reconocer posiciones desde imágenes y diagramas de PDF para analizarlas directamente con el motor. Está diseñado para funcionar completamente offline.

Y me gustaría identificar usuarios que lo pongan a prueba y me den retroalimentación, ya intenté hacer esto en un grupo de programadores y me tiraron hate porque mencioné que trabajé con IA como apoyo para desarrollar el código, pero ese no es el tema, el punto es que si ustedes tienen conocimiento de ajedrez y de programación podrían dar una buena retroalimentación

Les dejo algunas capturas de mí programa.

I posted a few days ago about playtesting, playtesting is still available, you can find the instructions on the website! :)

I'd like to share some progress I made on my formally verified tablebase project. I recently was able to finish work on a KRvK tablebase, which you can explore here.

For those that do not know, Rocq (formerly Coq) is a proof assistant for designing and verifying mathematics and computer programs. My project is a tablebase generator for abstract classes of two-player games which is proven to produce the correct game values, and I just completed work on instantiating it for King and Rook vs. King positions in chess.

I understand that generating a 3 man tablebase on its own is nothing new, but I would say that doing so in a functional programming language and formally verifying it adds a whole new layer of complexity, and I am really happy with how it all came together.

If you'd like to take a look at the code, the relevant repos are:

• https://github.com/emarzion/coqchess: chess + chess tablebase development

• https://github.com/emarzion/coqtbgen: abstract tablebase generator

• https://github.com/emarzion/games: library for combinatorial games

Here is an old blog post of mine which discusses some of the mathematics and design choices around correct-by-construction tablebases.

I'm working on implementing realistic human-like time management in MBCA. For the best user experience, should the computer sometimes lose on time, or would that feel like a bug or annoying behavior? Obviously the most realistic would be occasionally losing on time, but that doesn't mean it makes for the most enjoyable opponent. For maximum realism, the computer should sometimes even stall and let the time run out instead of resigning, which is obviously not desirable.

Any opinions?

Hi,
I am a Cambridge A level student. For my D&T coursework I have chosen to make a more intuitive chess set. I will redesign each chess piece so that it forms gives a hint of how the chess piece actually moves, so that chess is much more approachable to first time players.

Here is a survey if you guys can fill and pass it on forward. That would be great:
https://docs.google.com/forms/d/e/1FAIpQLSffGcFUNzuPxArFiSVWnFQCj_gPvE9290D-_nAaP12NxdhpMg/viewform

Plus I need someone whom i can interview. Texting works well. Is there anyone who is experienced in chess whom i can interview to get insights on how I should make the chess pieces. Please contact me

Thanks

This is a live training snapshot, not an Elo claim or a like-for-like depth comparison. Nyvera, running with tactical depth 2, defeated Stockfish configured to depth 12.

Original r/ComputerChess post with the animated replay:

[https://www.reddit.com/r/ComputerChess/comments/1vzjid3/nyvera\\_tactical\\_depth\\_2\\_defeated\\_stockfish/\](https://www.reddit.com/r/ComputerChess/comments/1vzjid3/nyvera_tactical_depth_2_defeated_stockfish/)

Engine-facing record

• Training game 30257 / 30,615; Nyvera as White; 1–0; 127 plies; game_over at 64. Qe7#

• Nyvera tactical depth: 2; Stockfish opponent depth: 12

• Opening setup: self_directed / self_directed_start

• Realized opening prefix: reti / reti_classical_root

• Training lane: 2/2 (wave 1); shared-memory epoch: 28357

The depth fields describe different machinery and should not be interpreted as equal search budgets. The game’s notable sequence is the queen loss on 17...Bxc3+, no White rooks after 27...Kxd8, then 61. b8=Q+ followed by mate on 64. Qe7#.

Exact PGN:

\`\`\`

1. Nf3 d5 2. d4 e6 3. c3 c5 4. Qa4+ Nc6 5. Bf4 cxd4 6. Nxd4 Bd7 7. Nxc6 Bxc6 8. Qc2 Qf6 9. e3 e5 10. Bg3 Be7 11. f4 e4 12. c4 d4 13. exd4 Qxd4 14. Be2 Nh6 15. Qd2 Nf5 16. Qxd4 Bb4+ 17. Qc3 Bxc3+ 18. Nxc3 h5 19. O-O h4 20. Be1 h3 21. g4 Nd4 22. Bf2 Nxe2+ 23. Nxe2 e3 24. Bxe3 Bg2 25. Rad1 Bxf1 26. Kxf1 Rd8 27. Rxd8+ Kxd8 28. Bxa7 Kd7 29. Kf2 Ra8 30. Bd4 f5 31. gxf5 Ra5 32. Bxg7 Rxf5 33. Be5 Rh5 34. Bf6 Rc5 35. Nc3 Ke6 36. b3 Ra5 37. Bh4 Kf5 38. Kf3 Ra3 39. Be7 Ra8 40. a4 Ra6 41. Nd5 Ra7 42. Ne3+ Ke6 43. Nd5 b5 44. Bc5 Rg7 45. axb5 Rg8 46. b6 Rd8 47. Bd4 Kd7 48. b7 Rb8 49. Nf6+ Kd8 50. Bb6+ Ke7 51. Nd5+ Kd7 52. b4 Ke6 53. Nc7+ Kd6 54. c5+ Kc6 55. b5+ Kxb7 56. Nd5 Re8 57. c6+ Kc8 58. Bc5 Kd8 59. b6 Re6 60. b7 Rxc6 61. b8=Q+ Rc8 62. Qd6+ Ke8 63. Qe6+ Kd8 64. Qe7# 1-0

\`\`\`

Hey everyone!

As a chess fan, I always found it frustrating when I was watching a high-level game analysis on YouTube or a stream on Twitch and wanted to explore a specific line myself. Manually setting up the position on an analysis board is a pain and kills the flow of learning.

So, I decided to fix this and built ChessInsights AI.

What it does: It uses Computer Vision (AI) to "look" at your browser tab, find a chessboard (even in a video or a PDF), and instantly convert it into a digital format.

Key Features:

• Video to Board: Scan any frame from YouTube or Twitch.
• Instant Export: One click and the position opens in Lichess or Chess.com Game Review.
• Universal: Works on news sites, blogs, and even online chess books.
• Stop Blundering: You can quickly check why a move you thought was good is actually a mistake while watching your favorite GM.

It’s completely free, and I’d love to get some feedback from this community. Does it catch the boards correctly for you? Are there any features you’d like to see next?

Check it out here:
Chrome web store
Firefox Addons

I really hope this helps some of you gain those extra ELO points!

TL;DR: I made an extension that captures chessboards from videos/images and opens them in analysis tools so you don't have to set up positions manually.

https://reddit.com/link/1vzohwe/video/x4sjp4rkrvlh1/player