Max Bachaud

Max Bachaud

Building AI infra and exploring

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Tastemaker
Tastemaker
Gone streaking
Gone streaking

Maker History

  • Cymatix Context
    Cymatix ContextSame query, same answer: deterministic RAG for agents
    Sep 2026
  • 🎉
    Joined Product HuntAugust 10th, 2026

Forums

Product Huntp/producthunt•

22h ago

Hypership Day is today! Help out the launches by trying their products!

Today is all about shipping velocity. You can leave requests for the products launching today and they'll build and launch the features in real time!

Appropriately, given the speed theme, we've partnered with TypeSafe AI, makers of @Jev, a frontier model at real-time speed, and @Supabase.

Product Huntp/producthunt•

22h ago

Hypership Day is today! Help out the launches by trying their products!

Today is all about shipping velocity. You can leave requests for the products launching today and they'll build and launch the features in real time!

Appropriately, given the speed theme, we've partnered with TypeSafe AI, makers of @Jev, a frontier model at real-time speed, and @Supabase.

Where would you run retrieval if it had to stay completely offline?

Cymatix Context runs retrieval on CPU with plain math (IDF-weighted, deterministic), with no model in the query path. Collaborators have already reproduced it on ARM64 hardware, which got me thinking about places where cloud RAG just isn't allowed or isn't practical: air-gapped plants, shop floors, field laptops, regulated offices, a Pi in a closet.

If you've got a box or an environment like that, what would you want to search there? And what would make or break it for you: RAM, index size, ingest speed, recall latency or something else?

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