---
type: claim
domain: internet-finance
description: "SizeMatters combines AI LiDAR measurement with zero-knowledge proofs to verify health progress claims without exposing private data"
confidence: speculative
source: "SizeMatters futardio launch (2026-03-04)"
created: 2026-03-11
secondary_domains: [health]
---

# SizeMatters proposes zero-knowledge proof verification for privacy-preserving health metrics through on-device AI and LiDAR measurement

SizeMatters pitch describes a privacy-first verification architecture where users scan with phone sensors (LiDAR where available plus computer vision models) to extract geometric measurements on-device. Instead of exposing private media, the system would generate cryptographic commitments and zero-knowledge proofs that verify claims (for example, progress ranges) without revealing raw images or sensitive details.

The team claims to have "a working LiDAR depth-perception implementation" and states they use "SOTA YOLO-based detection pipelines to identify and measure objects with high precision." They plan to train and validate measurement models on a dataset of 4,000+ synthetic genital images generated from 3D Blender pipelines.

This represents a proposed application of zero-knowledge proofs to health verification where the proof system would enable trust without disclosure—users could demonstrate progress or achievement of health milestones through cryptographic verification rather than sharing sensitive biometric data.

The architecture positions ZK proofs as the "trust moat" in a three-layer competitive advantage: trust (ZK proofs for private verification), engagement (social speculation markets), and outcomes (practical training plus measurable progress).

## Evidence
- SizeMatters raised only $4,969 of $75,000 target on futardio before refunding (2026-03-04)
- Team demonstrated first LiDAR implementation via X post (link provided in source)
- Planned 40% of $60k raise allocated to "ZK pipeline hardening, AI measurement accuracy, app polish"
- Dataset training planned with 4,000+ Blender-generated synthetic samples
- No working consumer product shipped; project entered refunding status

## Critical Limitations
- Project failed to reach funding target, indicating market skepticism or insufficient team credibility
- No independent verification of ZK proof implementation or measurement accuracy claims
- Synthetic training data may not generalize to real-world measurement scenarios
- Privacy claims unaudited and unvalidated
- LiDAR implementation demonstrated only as prototype, not production-ready
- No evidence of regulatory compliance review for health claims or measurement accuracy standards

---

Relevant Notes:
- [[futarchy-governed-meme-coins-attract-speculative-capital-at-scale.md]] — SizeMatters failure demonstrates futarchy governance alone does not guarantee capital attraction
- [[MetaDAO is the futarchy launchpad on Solana where projects raise capital through unruggable ICOs governed by conditional markets creating the first platform for ownership coins at scale.md]] — Platform expansion into health-tech verticals
- [[futarchy adoption faces friction from token price psychology proposal complexity and liquidity requirements.md]] — Multi-layer technical complexity may create adoption friction

Topics:
- [[domains/internet-finance/_map]]
