Roadmap Preview
Q4 other potential commitments
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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)
- Analyze scaling behavior
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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)
- Improve lab infrastructure.
2026Q1
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Waku
- Keep assisting waku team with regression analysis on each new version
- Perform theoretical and statistical models
- Analyze scaling behavior
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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.