XRPL Post-Quantum AlphaNet L2 ZK-STARK Rollup Demo

by resistant
Download
.cast - original recording .txt - plain text version .gif - animated GIF
macOS • xterm-256color • bash 115 views

Real-time comparison of 4 XRPL network configurations:

  1. DevNet - secp256k1, native tokens/AMM/DEX
  2. AlphaNet - secp256k1 + XLS-101d smart contracts
  3. AlphaNet-PQ - CRYSTALS-Dilithium post-quantum signatures
  4. L2 ZK-STARK Rollup - Dilithium + STARK proofs (this project)

Key metrics demonstrated: • L2 Hard Finality: thousands of TPS 

(cryptographically proven via STARK)

• L2 Soft Finality: Instant sequencer confirmation • Proof Aggregation: 10 parallel provers → 1 aggregated STARK proof • Post-Quantum Security: Dilithium signatures + hash-based STARKs • GPU Acceleration: Apple Metal for FFT/Merkle operations

Running in TURBO+FAIR mode: • TURBO: Pre-signed signatures to eliminate signing bottleneck • FAIR: TX generation synchronized with prover (honest comparison)

Built with Rust, Winterfell STARK library, and Metal GPU compute.

TURBO mode is a benchmark optimization, not realistic operation.

In TURBO mode: // Pre-generate 20 signatures at startup let pre_signed: Vec<Vec<u8>> = keypairs.iter()

  .map(|(i, kp)| kp.sign(format!("TURBO-TX-{}", i).as_bytes()))
  .collect();

// Reuse these signatures for all TXs (cycling through them) let sig = &pre_signed[tx_counter % 20];

So we’re reusing pre-computed signatures, not signing each TX individually.

Why this matters:

  • Normal mode: ~1x TPS (Dilithium signing is the bottleneck)
  • TURBO mode: ~3x TPS (no signing overhead)

In a real L2:

  • Users sign their own TXs with their own keys (off-chain)
  • Sequencer receives pre-signed TXs (no signing needed on L2)
  • STARK proves the signatures were valid

So TURBO mode actually simulates real L2 behavior more accurately - the L2 sequencer doesn’t sign, it just verifies user-provided signatures and batches them for proving.

This visual shows Fair mode where all tests are done using the amount the provers can handle. This is therefor fair to all three other nets. It is also fairer because it requires you to perform all signs on machine and does not benefit from off-system signature prior to processing.

Share this recording
https://asciinema.org/a/764088
Copied!

Append ?t=30 to start the playback at 30s, ?t=3:20 to start the playback at 3m 20s.

See sharing docs for more link customization options.

Embed as image link

Use snippets below to display a preview image linking to this recording.
Ideal for places where scripts are not allowed, such as project README files.

HTML: 

<a href="https://asciinema.org/a/764088" target="_blank"><img src="https://asciinema.org/a/764088.svg" /></a>
Copied!

Markdown: 

[![asciicast](https://asciinema.org/a/764088.svg)](https://asciinema.org/a/764088)
Copied!

Embed the player

If you're embedding on your own page or on a site which permits script tags, you can use the full player widget:

<script src="https://asciinema.org/a/764088.js" id="asciicast-764088" async="true"></script>
Copied!

Paste the above script tag where you want the player to be displayed on your page.

See embedding docs for more player customization options.

Download this recording

You can download this recording in asciicast v3 format, as a .cast file.

Download

Replay in terminal

You can replay the downloaded recording in your terminal using the asciinema play command: 

asciinema play 764088.cast
Copied!

If you don't have asciinema CLI installed then see installation instructions.

Use with stand-alone player on your website

Download asciinema player from the releases page (you only need .js and .css file), then use it like this: 

<!DOCTYPE html>
<html>
<head>
  <link rel="stylesheet" type="text/css" href="/assets/asciinema-player.css" />
</head>
<body>
  <div id="player"></div>
  <script src="/assets/asciinema-player.min.js"></script>
  <script>
    AsciinemaPlayer.create(
      '/assets/764088.cast',
      document.getElementById('player'),
      { cols: 214, rows: 63 }
    );
  </script>
</body>
</html>

See asciinema player quick-start guide for full usage instructions.

Generate GIF from this recording

While this site doesn't provide GIF conversion at the moment, you can still do it yourself with the help of asciinema GIF generator utility - agg.

Once you have it installed, generate a GIF with the following command:

agg https://asciinema.org/a/764088 demo.gif
Copied!

Or, if you already downloaded the recording file:

agg demo.cast demo.gif
Copied!

Check agg --help for all available options. You can change font family and size, select color theme, adjust speed and more.

See agg manual for full usage instructions.