ForeMetric - Earn from mobile behavioral data. Identity stays private.

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ForeMetric is a privacy protocol turning mobile behavioral signals (web intent, app usage, sensors) into an anonymous asset. Unlike traditional data harvesters, we use on-device AI (TinyBERT) to strip personal data before encryption. B2B clients never see raw datasets; they query structured insights computed inside secure hardware-attested server enclaves (TEEs). 80% of revenue goes directly to users via TON blockchain smart contracts. Real human data with zero tracking.

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Hi Product Hunt,

I'm Sergey, founder of ForeMetric.

Your phone already generates behavioral data — web activity, app usage, sensor patterns. That data currently flows to ad networks and AI labs at no
cost to them, because there was no infrastructure for anything else.

ForeMetric is that infrastructure. Not a protest — the system isn't going anywhere.
Just a tool to take your share of what your behavior is already worth.

How it works:
— On-device TinyBERT removes all personal identifiers before anything leaves your phone
— Behavioral vectors are encrypted using hardware keys (ARM TrustZone / Secure Enclave)
— B2B clients query aggregated insights computed inside server enclaves — raw data is never exposed
— 80% of every query fee routes to you automatically via TON blockchain smart contracts

You stay anonymous as a person. Your behavioral signal becomes legible to the market. That's the shift.

Built on TON blockchain. Pre-seed stage, building Phase 1 MVP now. Ask me anything technical in comments.

P.S. As a solo founder, I am actively looking for a Founding CTO / Technical Co-founder to join the mission. If you are a high-caliber engineer with a deep understanding of Web3, Rust, or confidential computing, and you’re ready to take a major equity + $HSIG token stake to build the future of data sovereignty together — let’s talk.
Drop me a DM here or connect with me via Twitter/X , Telegram , email.

love that the tinybert stays on-device instead of shipping raw signals to a server, that on-device stripping step is the part most "privacy" products skip and you actually built it in.

 
Exactly — and it's not just privacy theater. TinyBERT runs ONNX INT8 quantized,
~80MB, loads in foreground only and unloads in background to stay within memory budget.

The on-device step also means GDPR Article 17 compliance by design — if a user deletes their account, we destroy the DataKey and the encrypted vectors become irrecoverable mathematical noise.
No server-side deletion requests needed.

Tried the demo and was honestly surprised how smooth the on-device filtering felt, no lag at all even with the TinyBERT running locally. The split where users actually get paid via TON for their anonymized signals is a genuinely interesting angle I haven't seen done well elsewhere.

 Thnks Ezgi! To be completely transparent — what you saw is a frontend prototype designed to show the core flow and UX vision without melting your phone.

But that "no lag" requirement is exactly why the architecture is designed this way: when we move to production, the plan is to offload the TinyBERT inference entirely to a background worker so it never blocks the main thread.

As for the TON integration — that’s the core mission. If users generate 100% of the value, they should keep 80% of the revenue.

I’m currently building the Phase 1 MVP as a solo founder, and I'm actually looking for a Founding CTO to help turn this architectural blueprint into production code.

The on-device TinyBERT step before encryption is a really thoughtful detail, it solves the trust problem at the source instead of asking users to take your word for it afterward.

 
Thanks Kardelen! "Don't trust, verify" is the exact principle behind ForeMetric.
Relying on a company’s promise to "safely store or delete data on their servers" is a fundamentally broken model.

We are currently in the early prototype stage refining this exact flow, but this zero-trust foundation is non-negotiable for us.

Thanks for catching the core of our mission