Public testnet infrastructure for AI-native finance

A Decentralized Method to Merge with AGI

Post Fiat is a fair, private XRP-derived network for capital markets and collective intelligence. It keeps XRP-speed settlement, adds decentralized validator selection and Orchard privacy, and gives human civilization a way to integrate machine intelligence without collapsing into centralized control.

How it works

Designed for AI-native financial coordination.

XRP Is The Right Primitive

XRP's core architecture is already good at fast finality and message-style coordination. Post Fiat starts from the view that an AI-native network should use an efficient settlement and messaging layer rather than rebuild everything around slower, more inflationary primitives.

Post Fiat Fixes What XRP Does Not

Post Fiat keeps the useful parts of XRP while changing the two biggest legitimacy gaps: opaque validator selection and no native privacy. The network adds AI-assisted, published validator selection and an Orchard privacy path so the base layer is fairer, more legible, and more useful for real financial workflows.

Built For Capital Markets, Not Generic Payment Theater

The primary use case is not replacing SWIFT. Post Fiat is aimed at buy-side workflows, research coordination, expert networks, indexing, compliance, and AI-assisted capital deployment.

The Task Node Turns Community Into Collective Intelligence

Task Node gives the community a way to do something economically useful together. Instead of a retail crowd that can only post, hold, and hope, participants can contribute observations, research, and workflow outputs into an AI-routed network that internalizes its own edge instead of donating it to outside firms.

Public artifacts

Not just narrative. Inspectable surfaces.

Platform

Build around a powerful coordination layer.

From settlement to validator publication, every layer is framed around auditable financial workflows and human-machine collaboration.

AI-assisted validator publication

Evidence, model/runtime manifest, scoring outputs, and deterministic list construction become visible artifacts.

Privacy-enabled workflows

Orchard privacy and encrypted coordination make the network more credible for institutional finance than plain public transfer rails.

Task Node participation

Community members can contribute observations, research, and workflow output rather than only speculating on a token.

Capital markets focus

Post Fiat is aimed at indexing, buy-side research, expert networks, compliance, and AI-assisted capital deployment.

Security and governance

Legibility before authority transfer.

Post Fiat is live on public testnet, with public validator history, an explorer, and benchmark artifacts. It is not represented as a production mainnet.

The whitepaper frames validator-list publication as a visible evidence-to-list pipeline rather than opaque publisher discretion.

The network adds an Orchard privacy path so capital-markets coordination can move beyond plain public transfers.

PFT is not only something to buy. The primary participation path is Task Node contribution, with validator operation as another direct infrastructure path.

Task Node Feed

The Hive Mind in Action

Recent public Task Node activity shows contributors accepting work, publishing evidence, receiving verification, and tying useful output back to PFTL proof links.

Operating stream

Refreshing from public Task Node activity.

View full feed

Who builds this

Post Fiat gives a serious visitor more than a narrative: public artifacts, live network evidence, a working Task Node, and a validator setup path.

Alex Good goodalexander

Founder behind Post Fiat. The current homepage cites Citi FX, Palantir, Balyasny TMT, and co-founding Perpetua as relevant background.

It also cites capital and market credibility from portfolio managers at Brevan Howard, DE Shaw, and Citrini Research, plus venture backing by Hypersphere Capital Management.

Citi FX Palantir Balyasny TMT Perpetua Hypersphere

Join before the coordination layer hardens.

If AGI restructures markets, governance, and labor, the winning networks will be the ones that let human participants coordinate with machine intelligence without handing the future to one center of control.