Why I’m posting here first
I’ll be honest, I’m more interested about the ledger than the finance and money angle of crypto. A decentralised, deterministic, append-only record that no single party can quietly rewrite is one of the few genuinely useful things this technology gives us, and most of crypto spends that gift on moving money around. I wanted to spend it on something else: a trustworthy, contested, machine-readable record of what people believe.
So I built Rationall (rationall.io), and it’s now running on preprod testnet. This isn’t a launch — it’s me bringing the thing to a room I expect to be hard on it, and asking you to be.
There’s a recurring frustration in this community I take seriously: how can we distinguish the purpose of Cardano? and where’s the consumer-facing app that genuinely needs Cardano’s decentralisation — not a dApp that would run just as well on a spreadsheet plus a centralised API with a wallet button bolted on? I don’t have a clean answer to that. This is our attempt, and I’d rather it get stress-tested by people who’ll understand the context.
What it is: token as mechanism, graph as product
Most crypto apps make the token the product. The token (RTNAL) is an incentive-routing mechanism. The product is a conviction graph: a persistent, on-chain, machine-readable map of normative claims — ethics, politics, science, the economy, society, and everyday life — and how much skin people put in the game behind them. You might think of it as a mash-up of social media and prediction markets. You stake or bond ADA behind a claim you believe and earn RTNAL and ADA for backing claims that draw durable support. The output isn’t a verdict — it’s a distribution: who backs what, how hard, and how positions cluster and oppose.
The framing I most want challenged: conviction, not veracity. There’s no oracle resolving these to a verdict — “a carbon tax is the fairest emissions policy” has no settlement. The conviction scoring is the artifact, not a step toward some final answer, and the emergent topology (clusters, stance-edges between supporting and opposing positions) is the rest of it.
Why Cardano
This only works on a ledger that can be trusted as a neutral substrate that no one can quietly rewrite — for a record of contested ideas, who can, or rather who can’t control, co-opt and corrupt it is the whole ballgame. The longer thesis is that a tamper-evident record of human conviction is exactly the kind of data a decentralised ledger should support — in combination with decentralised storage — and as AI and autonomous systems increasingly ingest or reference what humans believe, that input should be attributable, versioned, and auditable, not a black box.
The AI angle
A decentralised map of human values — is a useful provenance signal for AI builders: an auditable input grounded in what people actually prove conviction in. The API layer implements a signed attestation stack — (switches on with user accounts) — that lets integrators pin community-curated value collections as guardrails over a model’s answers, receive a signed receipt of exactly which collections and immutable version hashes were applied, and hold a signed compliance certificate committing to a fixed guardrail bundle.
Honest tradeoffs (read this part)
I’ve watched enough projects oversell, so:
- Not formally audited yet. — but not unexamined either. Contracts are written in Aiken with unit and property-based tests, plus substantial red-teaming and internal verification. No third-party security audit is published; treat it as alpha software on testnet ADA.
- Sybil-resistance is one of the hard parts. Raw capital doesn’t buy influence linearly: per-stake weight is √(stake) × reputation (100× the ADA ≈ 10× the weight), and a claim’s conviction is further multiplied by staker-diversity and source-diversity terms, so a broad base of independent backers beats one whale. Reputation is earned, soulbound, non-transferable — money can’t shortcut it. All of that only bites if identities are real, and “soulbound” isn’t “un-fakeable,” so validating Sybil-resistance is useful here.
- Lineage, not magic. This builds openly on token-curated registries, curation markets, and Kleros-style dispute resolution. The narrow novelty I claim: applying them to normative claims with no truth-oracle (distribution-as-artifact) and treating the emergent stance-graph as the output.
- AI Guardrails. None of this asserts a model is ethical or correct — there’s no oracle for that here either. It’s provenance of process: a verifiable trail of which human-curated value-sets shaped an output. That’s the ceiling of this claim.
How to try it
Sign in with Google via a zkFold smart wallet (no browser extension) or normal CIP-30 wallet, grab some faucet ADA, and you can stake behind a claim and start earning RTNAL. Preprod testnet — nothing here is mainnet, nothing is for sale.
What I’m asking for
Break it. Specifically:
- Sybil/identity — where does √(stake) × reputation + diversity multipliers fall apart under a determined attacker farming wallets?
- Contract design — reward routing and the principal-protection mechanism in Aiken; what would you attack before an audit would?
- The mechanism — does “conviction, not veracity” hold, or does it quietly collapse into a popularity contest?
- The Cardano fit — am I leaning on the secure root of trust for real reasons, or rationalising? Is building for the base chain - with a mindset of partner-chain or layer 2 upon scaling need - the right scoping?
- Try it: https://rationall.io/about
- Discord: Rational Protocol
- X: @rationall_io
