OriginNode: Built for Adversarial Conditions
"The Harder It Gets, The Better We Perform"
Most blockchain nodes degrade under stress. OriginNode excels under it.
The Daugherty Engine's neural optimization thrives on difficulty:
- Normal conditions: Baseline performance
- Attack scenarios: 25-40% improvement
- Recovery stress: Up to 64% improvement
- Sustained adversarial load: Continuous advantage
This isn't optimization for ideal conditions—it's optimization for
real-world blockchain infrastructure where attacks, congestion,
and network instability are the norm, not the exception.
Infrastructure Cost: ~$73/month
($876/year) for enterprise-grade performance.
The same architecture powers BioPrime's 10,000x drug discovery speedup.
⚡ Try the Stress benchmark to see OriginNode's true advantage.
Easy tests don't activate the neural engine—adversarial conditions do.
📊 What to Expect:
Fast (15s): 0-10% gains (baseline - too easy)
Teranode (2min): 30-40% gains (moderate difficulty)
Stress (3min): Up to 64% gains ⭐ RECOMMENDED
V6 Full (5min): 40-50% avg (comprehensive scenarios)
Comprehensive (10min): 45-60% sustained (maximum difficulty)
Results vary by scenario. Neural optimization excels under difficulty.
💡 Why This Matters
Real blockchain networks aren't "ideal conditions." They face constant attacks:
MEV extraction, selfish mining, oscillation attacks, network congestion, and DDoS attempts.
Traditional optimization targets steady-state performance. The Daugherty Engine
targets adversarial performance—the conditions that actually occur
in production infrastructure.
Run the Stress benchmark to see the difference.
🔒 Patent-Pending Technology
U.S. Provisional Applications: 63/963,293, 63/963,647, 63/963,716, 63/963,771
