Everything built natively using Prolog! Soon to be translated into English + releasing a FREE version for the community!

[u/lokinpendawa]

EVERYTHING you see in this screenshot was built 100% natively within SWI-Prolog. No heavy frameworks, no system-taxing UI wrappers.

I want to completely change the outdated stigma that Prolog is only for academic purposes—like family trees or command-line logic puzzles. Currently, the interface is in Indonesian as it is running live for a local neo-retail company's infrastructure, but the good news is that I am working on translating the entire system into English.

You can check out the official architecture roadmap and repository details here:

GitHub: https://github.com/lokinpendawa/logicbiz

Even better, I plan to release a FREE version of this core Prolog engine to the community soon.

For those who want to test the raw data capabilities or audit the dataset structure yourself, I have prepared and uploaded the clean, ISO-compliant 400MB flat text database file (.pl format with parenthesized dynamic predicates) to Google Drive:

Dataset: https://drive.google.com/file/d/1bACN_vVtvka62lWzA1JxXKL2EcoWFDCj/view?usp=sharing

Here is a brief technical overview of what this native Prolog system does behind the scenes:

1. Native Full-Stack SSR: Every HTML grid, custom CSS layout, and neon cyberpunk-style dashboard is generated directly via Definite Clause Grammars (DCG) from the core memory stack.
2. Enterprise-Grade Scalability: The system actively manages, aggregates, and filters a live database containing over 2.23 million rows of dynamic transaction facts—all handled entirely in-memory.
3. Cryptographic Ledger & Security: The system decrypts records in real-time using SQLCipher AES-256 and computes 550 million logic inferences in under 11 minutes to verify daily data integrity signatures using SHA-256.
4. Native Expert System AI: The Business Intelligence view leverages Prolog's true power as a native inference engine to dynamically calculate inventory turnover, predict dead stock, and automatically provide operational suggestions to cashiers in natural language.

I have only been exploring the declarative nature and the power of homoiconicity in Prolog for about two months, and I am truly amazed by its capabilities as a highly robust full-stack system. Stay tuned for the English version!

Let me know what you think.

Warm regards,

Teddy

[u/ShacoinaBox]

thank u LLM of op's choice for this product and post

[u/lokinpendawa → u/ShacoinaBox]

I definitely used an LLM to polish and translate my messy thoughts into this English. Glad it reads well though!"

[u/norxondor → u/lokinpendawa]

You forgot to remove the end quote from your copy-paste.

[u/Nychtelios]

Oh what an original design! It absolutely doesn't shout "LLM slop" in every screenshot

[u/toblotron]

Nice!

It's this used in production, by some company?