Hi Product Hunt! 👋 I'm Mahmudul Hasan Shoron, Principal Researcher of SN-GCLA from Bangladesh. I am excited to share 'The Digital Road Method' with the global tech community today. Why did I build this? Deploying enterprise LLMs comes with massive token costs and unpredictability due to model hallucinations. I designed this Python framework to mathematically wrap text data into coordinates via Modulo-9 reduction. This results in high-efficiency compression and real-time syntactic checksum validations that actively secure data and minimize API footprints. Commercial & Charity: This engine is governed under the Charity-Driven Commercial Software License (CDCSL). It is completely free for academic/non-profit use. For enterprise or commercial production integrations, please consult the commercial license details in our repository (95% of licensing revenues go straight to vetted humanitarian causes). Support our independent research: Since direct global banking gates are highly restricted in my region, I have integrated our direct Binance Pay ID (1273303423) and crypto wallet networks directly inside our FUNDING_CRISIS.md layout. I am completely open to technical feedback, questions, or hosting a 10-minute technical sandbox demo for engineering teams. Thank you for your support! 🚀

SN-GCLA (The Digital Road Method)

Reduce LLM Token Costs & Mitigate Hallucinations

Reduce LLM Token Costs & Mitigate Hallucinations