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Reading: Phantom.Coin – an absolutely deterministic, rule-based L1 (DAG + aBFT, eUTXO). First building block of an open ecosystem.
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Smart Contracts

Phantom.Coin – an absolutely deterministic, rule-based L1 (DAG + aBFT, eUTXO). First building block of an open ecosystem.

Last updated: October 26, 2025 10:15 pm
Published: 5 months ago
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Phantom.Coin – an absolutely deterministic, rule-based L1 (DAG + aBFT, eUTXO). First building block of an open ecosystem.

Summary: Phantom-Coin is the starting point of a larger open-source ecosystem on GitHub. The L1 combines PoW solely for issuance with a leaderless DAG + aBFT engine (O(1) finality), no Unix time in the protocol/consensus path, uses eUTXO (open to smart-contract predicates), and ships QUIC-P2P plus Prometheus/Grafana observability. The architecture is causal, absolutely deterministic, and rule-based (same inputs ⇒ same outputs).

I am not a programmer; the coin belongs to the community — nobody controls this network.

Naming note: “Phantom-Coin” is just a working title I used for the project — I couldn’t think of a better name 😅. The name is not final and can be changed by the community.

⸻

What’s already in place

* Consensus & ordering: Leaderless DAG + aBFT with O(1) finality; total order e.g. via (consensus_time, event_id). No Unix time in the consensus path (time is UI/logs only).

* Issuance & monetary policy: PoW for issuance only, with a hard supply cap.

* State model: eUTXO (predicates v0), no EVM in the hot path → open to custom smart-contract logic on an eUTXO basis. The community will decide whether smart contracts are enabled on L1.

* Networking & ops: QUIC-P2P, Tokio async, Prometheus metrics, Grafana dashboards, Docker-Compose & scripts for localnet/observability.

* Determinism & rules: Fees/payouts and finality follow fixed, deterministic rules (including compact vote masks). The DAG’s causality enforces reproducible decisions.

⸻

Tests & benchmarks (public CI)

* CI/Actions: Workspace/unit tests, Criterion benches (short/nightly), bench aggregation & regression gate (p50/p95 tolerances), fuzz-smoke (codec/types/P2P) with seeds/corpora.

* Artifacts: Aggregated bench results (criterion_agg.) and raw data (criterion_raw.) are produced per run — transparent, reproducible, and baseline-comparable.

⸻

Minimum hardware requirement

* Runs on Raspberry Pi 5; recommended: 8 GB RAM (or more) and a 64-bit Linux.

* Asynchronous, multicore-friendly design (Tokio) — the project intentionally targets Pi-5-class hardware as a first-class platform.

⸻

How we work & governance

* Absolutely deterministic & rule-based: Same inputs ⇒ same outputs; no wall-clock heuristics in consensus.

* Fully decentralized: No one (not even me) controls the network. Decisions (e.g., enabling smart contracts on L1) are made by the community.

* Ecosystem start: This repo is the first building block; additional components (wallets, bridges, tools) will be built modularly alongside it. Code is on GitHub.

⸻

Looking for experts to harden the code & reach production readiness

Core & security

* DAG/aBFT researchers: safety/liveness proofs, adversarial models, finality rules.

* Formal methods: TLA+ / Coq / Isabelle — invariants and model-checking for consensus & eUTXO transitions.

* Cryptography: hash/sig primitives (e.g., BLAKE3/Ed25519), domain separation, Merkle payout root, constant-time audits.

Networking & performance

* QUIC/libp2p: transport tuning, congestion control, peer scoring, NAT traversal, latency/throughput optimization.

* Rust systems/async: zero-copy paths, locking strategies, backpressure, unsafe audits.

* Storage/DB: fsync/WAL strategies, LSM tuning (e.g., RocksDB backends), crash consistency & snapshots.

* Mempool/proposer: fairness under conflicts, spam/MEV resistance, deterministic ordering.

* Performance engineering: Criterion benches, regression gates, baseline comparisons.

* Fuzzing & differential testing: codec/types/P2P with seeds/dictionaries; sanitizer builds.

* Observability/SRE: Prometheus instrumentation, dashboards, alerting, SLOs.

⸻

Get involved

* Read the code, check CI runs/artifacts, open issues/PRs, run benches/fuzz locally, and propose parameters.

* Experts in the areas above are especially invited to harden the code and push toward production readiness.

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