Infrastructure for the consented collection and monetization of behavioral data, delivering insights as a service to businesses and to users.
People opt in to share behavioral signals from their phones and are credited for what they share; from token launch, they share in the revenue. Businesses buy insights, never the data: there is no raw-data export endpoint, by construction.
Website: foremetric.ai | Contact: info@foremetric.ai | X
Closed alpha waitlist: https://luma.com/bxt0dn3t
Status, November 2026: pre-revenue, no users yet, no outside funding, and nobody has paid yet. The Telegram Mini App is in development. Much of what follows is design; the text says which phase each item belongs to.
One infrastructure, three sides:
- People opt in, choose what to share, and are credited for the signals they share; from token launch, they share in the revenue. In Phase 2 they also receive insights about their own patterns.
- Businesses buy answers to their questions as a service: cohort size, activity rhythm, timing, transitions between categories, and in Phase 2 predictive metrics. They never receive raw data or individual profiles.
- AI teams come last, in Phase 3, through federated learning, without transferring data.
What it is not: a data marketplace (there is no export endpoint) and not a token-emission scheme (the token has no mint function, and the referral is one level, 10%).
The narrowest wedge. Phase 1 starts with a Telegram Mini App as an onboarding funnel (distribution, consent, a TON wallet, one-level referrals) and tests, cheaply, whether people opt in, whether they come back, and whether a business pays. The first paid pilot is a $1-5K cohort-engagement report for consumer-fintech teams that buy traffic inside Telegram: an experiment testing willingness to pay, not an operating business model.
| Phase 1 (now) | Phase 2 (designed, not started) | Phase 3 (designed, no date) | |
|---|---|---|---|
| Scope | Telegram Mini App as an onboarding and referral funnel: distribution, TON wallet, per-category consent, one-level referrals, IOU balance. Two signal categories only: Mini App session events and, optionally, DNS categories set up manually by the user | Native app with more signals collected on the device; attested natural-language queries for businesses; insights for users; token launch | Federated learning for AI teams; TON Storage as the only storage layer |
| Trust model | Disclosed trusted operator: we hold the encryption key (AWS KMS, with an audit trail of every access) and can in principle read the data | Hardware-attested computing, differential privacy, a hard minimum of 50 users per group | Decentralized attestation |
| Reports | Made by the team from PostgreSQL aggregations; the buyer receives an aggregate, never raw records or individual profiles | Attested queries | Same as Phase 2, with attestation verified by a quorum rather than a vendor |
Phases advance on metrics, not on dates. The Phase 1 gate includes a closed alpha that measures what brings people back, a first paid pilot, and a secured runway. If a gate is not passed, the phase continues.
- Live: a public prototype at foremetric.ai (simulated data, marked as such) and an Identity Vault contract on TON Testnet.
- In development: the Telegram Mini App, the Rust backend with a PostgreSQL IOU ledger that it is being connected to, and the DoH/DoT DNS server.
- Designed, not built: native app, confidential computing, revenue splitter, token launch, Signal Passport, Oracle, Missions, federated learning.
A specification only: no token contract or splitter is deployed, and no income figure is promised. The design:
- Fixed supply of 1,000,000,000 and no mint function.
- 80% of gross B2B receipts flows back to contributors, 10% goes to the contributor's referrer (one level only) and 10% to the treasury. With no referrer, the treasury receives 20%. The split runs through an immutable splitter contract on TON.
- Before launch, balances are IOU entries in a ledger, converted 1:1 at launch. Launch coincides with Phase 2 and has no committed date.
- A 0.1% burn applies to peer-to-peer transfers; splitter distributions are exempt.
There is no token sale, presale or giveaway.
The public front page of ForeMetric. Development happens in private repositories. Earlier public experiments, including a Jetton prototype with an admin-controlled mint operation (OP_MINT), are superseded by the current design, which has no mint function. They were never audited. Do not deploy or use them. No token contract is deployed.
Code in this repository is released under the MIT License (see LICENSE).
Nothing here is financial advice or an offer of securities or tokens.