"Artificial Intelligence has substantially reduced the cost of generating knowledge. The challenge is no longer generating information — the challenge is reviewing it."
Core Objective
Shutri is an open-access, non-commercial substrate designed for domain experts who wish to launch independent, peer-reviewed registries. While we operate deepDive as a reference implementation, our primary mission is to democratize the peer review process itself.
The Three Pillars
01. Research Intake
Open GitHub Issue management and transparent Mempool staging for community engagement.
02. Research Publishing
Automated ingestion engine (mdIngest), static mdBook builds, and offline PWA publication.
03. Research Promotion
DDMA automation generating 740×740 micro-promotions and multi-modal audio waveforms for Nostr and social relays.
Governing Principles
- Zero Operational Cost: Built completely on free, open substrates (GitHub, GitHub Pages, mdBook, Nostr relays).
- Public-by-Default Review: Research evaluation is conducted in the open rather than behind closed editorial walls.
- Proof of Attention: Reviewer contributions are verifiably timestamped and attributed in an immutable ledger.