Roadmap Preview

Q4 other potential commitments

  • Nomos

    • Analyze scaling behavior
      • Network dynamis (message propagation, network topology, etc.)
      • Consensus scaling (throughput vs numbers of validators, etc) (probably done)
      • State/transaction layer bottlenecks (liveness/safety, etc) (probably done)
      • Adversarial robustness (prob done?)
      • Decentralization metrics (hardware requirements)
  • VAC

    • Improve lab infrastructure.
      • Analyze current stack, find improvements
      • Automatize flow of delivering machines
      • Plug data from DST experiments in infra cortex
      • Optimize data scraping from DST experiments (datapoints from metrics, logs)

2026Q1

  • Waku

    • Keep assisting waku team with regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • Nomos

    • Keep assisting nomos in regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • Codex

    • Start assisting Codex in regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • nim-libp2p

    • Keep assisting p2p team with regression analysis on each new version
    • Benchmark new functionalities (Webtransport, KAD-DHT, …)
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • VAC

    • Introduce live dashboards capable of providing real-time insights into running experiments (e.g., message delivery times, participant node status, etc.)
    • Expand dashboard utilities to interact with real-time experiments.
    • Keep supporting FURPS by doing necessary experiments to projects.

2026Q2 and beyond

  • Waku

    • Keep assisting waku team with regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • Nomos

    • Keep assisting nomos in regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • Codex

    • Keep assisting codex in regression analysis on each new version
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • nim-libp2p

    • Keep assisting p2p team with regression analysis on each new version
    • Benchmark new functionalities (Webtransport, KAD-DHT, …)
    • Perform theoretical and statistical models
    • Analyze scaling behavior
  • VAC

    • Expand dashboard utilities to interact with real-time experiments.
    • Keep supporting FURPS by doing necessary experiments to projects.