Amar Dahmani

Amar Dahmani

LISA CoreLISA Core
CEO/Founder of SAT-CHAIN LLC

About

I spent 25 years translating between languages, cultures, and legal systems. The job taught me one thing: Meaning is fragile. Context drifts. And when stakes are high, the only thing that survives is proof. Now I build proof for AI. SAT-CHAIN (Semantic Anchor Token with cryptographic chain of custody) is a cryptographic governance layer for regulated industries. When a regulator asks "Was this AI compliant?", most companies assert. We prove.

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Maker History

  • LISA Core
    LISA CoreLLM memory using semantic compression for AI conversations
    Apr 2026
  • Railway
    RailwayInstant Deployments, Effortless Scale
    Apr 2026
  • 🎉
    Joined Product HuntApril 2nd, 2026

Forums

LISA Core, an extension that captures, compresses, and preserves your AI conversations.

What I built: A Chrome extension that captures your ChatGPT conversations (and 8 other AI platforms) into portable JSON/JSONL files you can upload anywhere.

The Problem This Solves

You spend hours crafting the perfect conversation in ChatGPT. Then you want to:

  • Continue it in Claude (better for coding)

  • Share it with a teammate who uses Gemini

  • Keep a backup in case ChatGPT goes down

  • Switch to a local model for privacy

Amar Dahmani

8d ago

LISA Core - LLM memory using semantic compression for AI conversations

LISA (Language Intelligence Semantic Anchoring) is a privacy-first browser extension that captures, compresses, and preserves your AI conversations across all major platforms. Using advanced semantic compression technology, LISA achieves 80:1 to 100:1 compression ratios while maintaining complete meaning and context. Your conversations never leave your browser. Zero cloud processing. 100% local.
Amar Dahmani

17d ago

LISA Core - AI Memory Library - LISA Core — semantic compression for AI conversations

Most AI tools store conversations as ambiguous text. When an AI reads a raw transcript, it guesses at meaning. LISA translates your conversation into machine-executable semantic structure: resolving ambiguity before the AI reads it. That's not compression. That's translation. And it's why LISA reconstructs context with higher accuracy than the original transcript. This insight came my 25 years as a professional translator. Meaning is fragile. Language loses it constantly. LISA preserves it.
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