RNDA

The data protocol where raw data is never stored

YC ApplicationDeveloper ToolsData

▲ 64 votes2 commentsLaunched May 8, 2026

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Weekly #170

RNDA is a data protocol where raw input is encoded to 256 bytes and permanently discarded. Not encrypted — gone. The data can't be breached because it doesn't exist. Proven across 31 data types: genomics (140,835x), quantum circuits on IBM hardware (351,939x), medical imaging, AV sensors, oil & gas. SSL made unencrypted traffic obsolete. JWT made session storage obsolete. RNDA makes raw data storage obsolete. Multiple patents filed.

AI Analysis

📝 Summary

RNDA is a data protocol that encodes raw inputs into a fixed 256-byte representation and permanently discards the original data, ensuring it cannot be breached since it no longer exists. Unlike encryption, the raw data is irreversibly gone. Proven on 31 data types including genomics (140835x reduction), quantum circuits on IBM hardware (351939x), medical imaging, AV sensors, and oil & gas. It solves critical pain points of data breaches, storage vulnerabilities, compliance burdens, and security risks. Value proposition: Makes raw data storage obsolete like SSL and JWT did for their domains, delivering ultimate security with multiple patents filed.

📈 Market Timing

In 2025-2026, escalating cyberattacks, stricter global privacy regulations, AI-driven data explosion, and quantum threats to traditional encryption create strong demand for radical security solutions. RNDA aligns perfectly with zero-trust trends and data minimization principles. User needs for breach-proof systems are surging amid high-profile incidents. This is Excellent Timing.

✅ Feasibility

High technical difficulty in developing universal lossless encoding to 256 bytes across heterogeneous data types while preserving utility; real-world proofs on IBM quantum and genomics are positive but broad adoption requires extensive validation. Low ongoing operational costs due to no raw storage. Compliance risks moderate as it aids regulatory adherence. Strong scalability potential once standardized. Overall rating: Medium.

🎯 Target Market

Primary segments: Developers and researchers in biotech/genomics, quantum computing, healthcare (medical imaging), autonomous vehicles, and energy (oil & gas). Demographics skew toward technical professionals and enterprises in North America and Europe with strict data laws. TAM for data security/privacy tech exceeds $200B; SAM for advanced protocols ~$15B; SOM for initial RNDA adoption ~$1B. Core pains: breach exposure, storage/compliance costs. High willingness to pay for unbreakable security reducing liability.

⚔️ Competition

Competition level: Low. Strong differentiation via permanent raw data elimination rather than encryption. Direct competitors: 1. Homomorphic encryption (Microsoft SEAL, github.com/microsoft/SEAL), 2. Privacy platforms (BigID, bigid.com), 3. Secure enclaves (Oasis Labs, oasislabs.com), 4. Data minimization tools (TitanFile, titanfile.com). Advantages: true non-existence prevents all breaches, massive efficiency gains, patents. Disadvantages: integration complexity, need to prove utility retention vs reversible methods.

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