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

Tasks vs. Memory
| Tasks | Approx. Memory |
|---|---|
| 1 K | ~3 GB |
| 100 K | ~3 GB |
| 1 M | ~3 GB |
| 10 M | ~3 GB |
| 100 M | ~3 GB |
100,000× 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 and discards noise, enabling semantic retrieval for recall.
This is a memory layer — not a reasoning engine. You still need an LLM on top.
Background
Solo developer, Norway, using 2013 hardware (i7‑4930K).
Looking for feedback, skepticism, and verification. Open to acquisition conversations.
- Repo:
- Website:
What am I missing? Poke holes in it.