About — TruthLayer

Mission

Short-form video — TikTok, Reels, Shorts — is the world's dominant information medium. Billions of people form beliefs from unverified 15-second clips, on platforms optimized for engagement rather than accuracy. Existing responses don't reach the moment of consumption: platform labels are thin and widely dismissed, professional fact-checkers work on hours-to-days timescales, and media-literacy education lives in classrooms disconnected from the feed.

TruthLayer exists to close that gap: an assistant that meets people where they watch, surfaces structured evidence about what a video shows and claims, and teaches the habit of asking better questions — before believing or sharing.

Why a nonprofit

A product whose job is to make people share less and think more is structurally incompatible with attention-based business models. Advertising, data monetization, and engagement optimization would all pull against the mission. As a nonprofit, TruthLayer's incentives point one direction only: better public reasoning.

Revenue commitment TruthLayer will never generate revenue from user data, behavioral advertising, or political partnerships. Funding comes from mission-aligned sources: individual supporters, school partnerships, and foundation grants.

What we're building

Phase 1: browser extension and mobile share-sheet app — analyze any short-form video in under a minute.
Phase 2: school media-literacy tool (assignment builder, LMS integration) and parental companion (conversation starters, not surveillance).

All modes run on the same open, inspectable evidence pipeline — and the same public methodology.

Who's behind it

TruthLayer was founded by Adrian, a software engineer in Irving, Texas, who builds media-analysis infrastructure and believes the feed deserves better than vibes. The project is advised by educators, journalists, and researchers — the independent advisory board (academia, civil society, journalism; no employees) governs methodology and source-policy changes.

We are assembling the founding board of directors and advisory board now. If you work in media literacy, education, journalism, or AI safety and want to help, write to [email protected].

Transparency

Methodology is public and versioned — read it here.
Source selection policy is published; changes require advisory-board approval and 30 days' notice.
An independent third-party audit of labeling behavior and bias is conducted annually, with full results published — including negative findings.
Aggregate appeal-and-overturn rates are published quarterly.

Contact