Add more competitive analysis

Author: Thomas Stromberg

README.md

@@ -66,6 +66,17 @@ Benchmarks on MacBook Pro M4 Max comparing memory-only Get operations:
 - Hit rates - S3-FIFO protects hot data from scans in specific scenarios
 - Zero allocations - efficient for high-frequency operations
 
+### Competitive Analysis
+
+Independent benchmark using [scalalang2/go-cache-benchmark](https://github.com/scalalang2/go-cache-benchmark) (500K items, Zipfian distribution):
+
+**Hit Rate Leadership:**
+- **1% cache size**: bdcache **64.45%** vs TinyLFU 63.94%, Otter 63.60%, S3-FIFO 63.59%, SIEVE 63.33%
+- **10% cache size**: bdcache **80.39%** vs TinyLFU 80.43%, Otter 79.86%, S3-FIFO 79.84%
+- **0.1% cache size**: bdcache **48.12%** vs SIEVE 47.42%, TinyLFU 47.37%, S3-FIFO 47.16%
+
+Consistently ranks top 1-2 for hit rate across all cache sizes while maintaining competitive throughput (5-12M QPS). The S3-FIFO implementation prioritizes cache efficiency over raw speed, making bdcache ideal when hit rate matters.
+
 ### Detailed Benchmarks
 
 Memory-only operations: