🟢 Live Tactical Dashboard: https://heinze-oracle.fly.dev
heinze (named after the legendary Gabriel Heinze) is a real-time tactical assistant that provides "ghost match" simulations for professional coaches. It leverages Clojure's immutable data structures to fork match realities in O(1) time.
Current analytics are post-hoc. heinze is live.
- O(1) Reality Forking: Create a "ghost match" to test tactical changes ("What if we pressed high?") instantly without copying state.
- Parallel Universes: Run 1000+ Monte Carlo simulations lock-free via
pmapfor ultra-accurate probability forecasting. - Defensive Shape Correction: Identifies vulnerabilities in the backline 3 seconds before the opponent exploits them.
- Live Decision Support: Real-time feedback for the technical bench via touchline tablets.
- Immutable Audit Trail: Every recommendation is logged with full tactical provenance.
Systems-level thinker. I build things that are correct by construction, not by coincidence.
Core Competencies:
| Domain | Depth |
|---|---|
| Systems Programming | Kernel-level reasoning about memory layout, structural sharing, and persistent data structures. I think in pointers, not abstractions. |
| Distributed Systems | Consensus protocols, immutable state replication, lock-free concurrency via persistent vectors and pmap. No mutex, no deadlock, no problem. |
| Security Engineering | Zero-trust architecture from first principles. Static analysis at boot time. Distroless containers. If it has a shell, it has an attack surface. |
| Functional Architecture | Clojure, ClojureScript, Reagent/Re-frame. Pure functions as the unit of computation. Side effects quarantined to system boundaries. |
| Low-Level Optimization | Content-addressed deduplication (SHA-256), structural sharing verification (identical?), JVM memory profiling. 135k frames in <50MB. |
| Build Systems & CI/CD | Reproducible builds, deterministic dependency resolution (deps.edn), GitHub Actions pipelines with security-first audit gates. |
| Version Control Internals | Git as a content-addressed Merkle DAG — the same data structure that powers heinze's frame history. Not a coincidence. |
| Cryptographic Integrity | SHA-256 provenance chains, content hashing for deduplication, cryptographically seeded deterministic simulation. |
Philosophy:
"Talk is cheap. Show me the code." — Linus Torvalds
I don't write abstractions for abstractions. Every line in this codebase exists because it solves a measurable problem:
next-frameexists because deep-copying 50MB of match state is unacceptable.pmapexists becauseThread.start()with shared mutable state is a race condition waiting to happen.secure-read-stringexists becauseevalis a CVE waiting to be filed.- The security audit exists because trust is verified, not assumed.
Contact: GitHub · Open for collaborations with KPL clubs & academies.
📐 Full Technical Architecture & Design
Current football analytics treats matches as event streams (lossy, mutable, post-hoc). heinze treats a match as a persistent data structure — a content-addressed graph where every player position, tactical formation, and decision point is structurally shared across time.
What this enables:
- O(1) Time Travel: Scrub through 135,000 frames (90 minutes @ 25fps) instantly via vector indexing.
- O(1) Reality Forking: Create "ghost matches" by creating a new root pointer to existing immutable data.
- Parallel Universes: Run 1000 Monte Carlo simulations lock-free via
pmap. No locks, no race conditions. - $0 Deployment: Runs on Fly.io's free tier in a Distroless container with no shell and no root.
| Component | Tech Stack | Responsibility |
|---|---|---|
| Frontend UI | Reagent (React 18), ClojureScript | Arsenal-themed tactical HUD. Connects via WebSocket, renders live frames and ghost alerts. |
| Agent Alpha | argus.ingest |
Data ingestion with EDN Fortress validation and content-hash deduplication. |
| Agent Beta | argus.pitch |
Immutable pitch state with verified structural sharing. |
| Agent Gamma | argus.heinze |
Pure function defensive pattern recognition. |
| Agent Delta | argus.fork |
O(1) forking, deterministic simulation, parallel Monte Carlo via pmap. |
| Agent Epsilon | argus.voice |
Real-time WebSocket EDN broadcasting to touchline tablets. |
| Agent Zeta | argus.secure |
Source code security audit, zero dynamic resolution enforcement. |
| Edge Proxy | Fly.io Edge | TLS termination (wss://), auto-stop/start ($0 idle cost routing). |
- Zero Dynamic Resolution: No
eval,read-string,resolve, orload-stringin backend source. Verified at JVM boot. - EDN Fortress: All external data validated via whitelist-only parser. Unknown tags throw immediately.
- Immutable Audit Trail: Every tactical recommendation logged with SHA-256 frame-hash provenance.
- Distroless Fortress: Production JVM runs in a Distroless container (no
/bin/sh, UID 65534).
- Java 17+
- Clojure CLI 1.11+
- Node.js 20+ (for frontend development)
git clone https://github.com/dennisgathu8/heinze.git
cd heinze
# 1. Build the UI
npm install
npx shadow-cljs release app
# 2. Boot the Edge Server
clojure -M -m argus.main
# Dashboard available at http://localhost:8080We use a 3-stage Docker build: Node (CLJS compilation) → Clojure (Uberjar) → Distroless (Runtime).
fly launch --name heinze-oracle --region jnb
fly deployclojure -M:test
# 13 tests, 34 assertions, 0 failuresDuring a live match, Argus detects patterns that human eyes miss:
Minute 23: {:type :high-line-exposure :confidence 0.82}
Coach Action — Fork reality at frame 1847:
(fork/fork-at frame {:press-height 60 :line-depth 40} 42)
;; Run 1000 parallel Monte Carlos via pmap
;; Result: Clean sheet probability 89% vs. 76% current setup- Structural Sharing:
identical?proves unchanged data shares memory references. 135k frames in <50MB. - Parallel Simulation: 100 rollouts × 50 ticks = 5000 frames in ~60ms.
- Determinism: Same seed + same params = identical ghost match output.
- Security Audit: Zero forbidden tokens in source. System refuses to boot if violated.
- CI/CD: GitHub Actions pipeline green — security audit + full test suite on every push.
MIT License — See LICENSE.