I scaled from 1K to 100M tasks with zero memory growth — here's the cryptographic proof

The assumption: Memory scales O(n) with operations.

The result: I broke it.

Tasks	Memory
1K	~3GB
100K	~3GB
1M	~3GB
10M	~3GB
100M	~3GB

100,000x scale. Same memory. Merkle-verified.

The Proof

Every task is SHA-256 hashed into a Merkle tree. The root hash commits to all 100 million operations:

e6caca3307365518d8ce5fb42dc6ec6118716c391df16bb14dc2c0fb3fc7968b

Verify Yourself

git clone https://github.com/Lexi-Co/Lexi-Proofs.git
cd Lexi-Proofs
node verify.js --all

Don't trust me. Check the math.

What It Is

An O(1) memory architecture for AI. Structured compression that preserves signal, discards noise. Semantic retrieval for recall.

This is a memory layer — not a reasoning engine. You still need an LLM on top.

Background

Solo developer. Norway. 2013 hardware (i7-4930K).

Looking for feedback, skepticism, and verification. Also open to acquisition conversations.

Repo: https://github.com/Lexi-Co/Lexi-Proofs
Website: https://lexico.no

What am I missing? Poke holes in it.