Model

We built this model to move the STRC conversation out of vibes, one-off anecdotes, and price chatter, and into a structured view of how the digital credit story is actually unfolding.

The goal is not to pretend we can forecast the future with precision. The goal is to make the story legible. We track a small number of milestone events, collect signals that reinforce or weaken those milestones, and publish forecast dates so people can see how the timeline changes as relevant data comes in.

Those dates are working estimates, not promises. We use them because a live date makes change visible. If a milestone moves forward, backward, or holds, that tells you something about how the thesis is evolving and what is actually driving it.

How the model works

Layer	What happens	Why it exists
Live signals	New product changes, builder launches, adoption signals, and market developments come in continuously.	Keeps the story current without forcing the public forecast to jump every day.
Milestone mapping	Each signal is sorted into the milestone lanes it affects and judged by how much it strengthens or weakens the thesis.	Turns isolated headlines into a structured view of progress.
Weekly forecast	Once a week, we review the new evidence, reassess the milestone states, and publish updated forecast dates.	Creates one official public read instead of a constantly thrashing dashboard.

The model is dynamic by design. The signal set will improve. The milestone definitions will improve. The forecast dates will change. Right now there is more we do not know than what we do know, so the right approach is transparent iteration rather than false certainty.

The five milestone lanes

1. Digital credit proves durable

Start: July 29, 2025, when STRC launched.
Complete when: Digital credit has shown enough durability, scale, continuity, and resilience that an outside-view institutional observer would stop calling it fragile.
Signals we track: Product track record, par stability, dividend continuity, scale growth, liquidity, reserve or governance changes, and evidence that the product keeps working through time instead of only at launch.

2. Supporting ecosystem takes hold

Start: The first credible third-party builder or wrapper announcement tied to STRC.
Complete when: Independent builders, wrappers, rails, and distribution paths around digital credit are no longer isolated experiments and instead look like a real support layer.
Signals we track: New product launches, official docs, transparency surfaces, distribution relationships, recurring builder updates, and evidence that third-party infrastructure is persisting beyond the core issuer.

3. Early buyer market solidifies

Start: The first public example of a third party putting STRC or a similar digital credit product onto its balance sheet or treasury stack.
Complete when: Isolated anecdotes give way to a recognizable early buyer market with repeated public adoption across independent actors.
Signals we track: Treasury allocations, balance-sheet adoption, named buyers, repeat purchases, buyer breadth, adoption size, and follow-through after the first announcement.

4. Big capital commits

Start: Not started.
Complete when: Large, reputation-sensitive institutions make material public commitments that signal digital credit is no longer confined to early adopters.
Signals we track: Insurer, allocator, asset-manager, or corporate commitments; filing-backed allocations; institutional workflow buildout; and other evidence that major pools of capital are moving beyond observation into action.

5. Global credit reset begins

Start: Not started.
Complete when: The shift stops being contained inside the category and begins to show up in broader repricing, substitution, or defensive responses across incumbent credit markets.
Signals we track: Substitution patterns, credit-spread stress, market structure changes, treasury behavior, insurer or private-credit responses, and signs that traditional credit has started reacting to the new alternative.

Why this will keep changing

This is an emerging system, not a mature data science problem. We are still learning which signals matter most, how institutions will actually respond, and what the best milestone definitions should be. That means the model will evolve as the world evolves and as our understanding improves.

That is a feature, not a bug. The purpose of STRC.world is not to claim a finished map of the future. It is to build a disciplined, public way to watch this transition unfold and make the progression visible before it becomes obvious to everyone else.