We built Sofia Core - open-source AI infrastructure exploring biological computing in production systems.

Technical approach: • DNA-inspired algorithms for massive parallelism (10^15 operations) • Swarm intelligence for distributed coordination • Temporal reasoning for time-aware predictions

Stack: Python/FastAPI, PostgreSQL, Redis Testing: 70%+ coverage, 100+ endpoints License: MIT

Research foundation: 8,000-word paper with benchmarks showing 300× speedups in parallel pattern matching tasks.

Quick start: git clone https://github.com/emeraldorbit/sofia-core-backend ./quick-start.sh

Runs locally in 5 minutes. Graceful fallbacks if you don't have API keys.

Questions for HN: 1. Is biological computing interesting beyond academic research? 2. Would you trust this in production today? 3. What's missing for your use case?

Launching on Product Hunt tomorrow - would love HN's technical feedback first.

Code: https://github.com/emeraldorbit/sofia-core-backend Paper: [repo]/research/papers/dna-computing/PAPER.md