Interactive Demo

See HDC in Action

Explore the breakthrough technology behind Resonance Protocol. All demos run live in your browser—no installation required.

Demo 1

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Demo 2

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Demo 3

HDC Compression: 32× Reduction

Watch as LoRA model weights (17.5 MB) are compressed to HDC semantic packets (271 KB) while preserving 99%+ accuracy.

BEFORE: Raw LoRA Weights

q_proj4.2 MB

v_proj4.2 MB

k_proj4.2 MB

out_proj4.9 MB

Total Size17.5 MB

AFTER: HDC Compression

q_proj (HDC)68 KB

v_proj (HDC)68 KB

k_proj (HDC)68 KB

out_proj (HDC)67 KB

Total Size271 KB

32×

Compression Ratio

# Try it yourself:

$ git clone https://github.com/nick-yudin/resonance-protocol

$ cd resonance-protocol/reference_impl/python

$ pip install -r requirements.txt

$ python3 -m hdc.distributed_trainer_hdc

✓ Compression: 17.5 MB → 271 KB (32×)

All these demos are based on real, reproducible experiments. Dive into the code and see for yourself.