Infrastructure for Global Truth-Making

The universal interface for human disagreement.

Local-first. E2E Encrypted. AI-Augmented.

May have noticed if you’ve spent years wasting your time arguing with others online that often people’s priors and presuppositions are so different from your own that it makes it almost impossible to resolve disagreements.

— @kunley_drukpa, 2026

Big problem in C21st political debate that interlocutors don’t even agree on basic priors about the nature of material reality - feignedconfusionmaxxing where nobody knows anything.

— @kunley_drukpa, 2026

Francis Fukuyama maintains a 20,000 record database of every book and article he's ever read, built with his own Python scripts.

Traditional tools fail because they assume consensus.
NeoEnc builds the database of disagreement itself.

Whyimright

The live web product for browsing statements, testing claims, and using the shared public-facing interface.

Open Whyimright

CLI

Local command-line tools for ingestion, indexing, and structured knowledge workflows.

Download Binary
curl -sSL https://neoenc.com/install.sh | sh

Web Extension

Inline NeoEnc tools for reading, annotating, and pressure-testing claims directly in the browser.

Foundational Truth

Access the Debate Tree Core Data Model. Engage in real-time multiplayer debates to map the structure of disagreement.

Sovereign Intelligence

Local LLM processing keeps private exploration local. Connect your vaults and ingest PDFs or EPUBs without handing your reading life to a public model.

Power Tools

Set up research bots, surface inline fact-checking, and sharpen arguments with structured fallacy-aware workflows.

Uncompromising Trust

Build toward encrypted vaults and collaborative research workspaces designed for high-stakes institutional truth-seeking.

catalaLang/catala

Catala

Programming language for literate programming law specification.

Visit project
longnow.org

Long Now Foundation

A long-horizon institution for civilizational memory, stewardship, and durable thinking.

Visit project

Distribution

Claim confidence sketch

A lightweight client-side plot of the same 1D distribution shape used for claim confidence metadata.

Count
7
Mean
0.68
Variance
0.04
Range
0 to 1
Continuity
continuous

Claims, inferences, and relations mapped out in real-time.

Want the syntax explained step by step?

Open interactive tutorial

The Knowledge Graph

Exploring the DAG of human knowledge.

Browse recent claims →

Search across indexed statements without leaving the landing page.

Matching claims will appear here.
Browse the Library

Explore indexed texts, recent claims, and debate structure.