Rivers
Published by DeltaSignal (AITrailblazer).
A river is one framework article and everything that later bears on it. The framework states a thesis and the conditions that would break it. After that, the record is kept in the open: articles are reviewed into membership by hand, claims are extracted from the founding article and approved before they are published here, later events are graded as validations against primary sources, and each river is kept under a written protocol with a named owner and a retirement rule.
Every item in our archive carries a TripCode, a permanent address minted from the item itself, so a claim, an article, and a validation can always be traced back to their source. The rivers are the frameworks those addresses flow through.
One honesty note. A machine linker also flags archive items that may belong to a river, by keyword. Those flags are candidates, not membership, and they are counted separately on every page: measured on October 23, 2026 against blind review, 29.7 percent of the linker's article edges were confirmed substantive membership (41.5 percent counting borderline calls). Membership on these pages means exactly two things: the founding article, and articles a reviewer has read in.
The graded calls
The graph also carries the 32 proven calls from the track record, each recorded against the article that made it. Where the article is a reviewed member of a river, the call is graded inside that river and listed on its page. The rest stand in the graph on the track record alone; no call is placed in a river it does not belong to.
The rivers at a glance
Each river gets the same small picture, drawn on the same scales, so the eye can compare them directly: time runs from October 4, 2025 to October 30, 2026 in every panel, and the line rises one step for each reviewed member, to 25 at most. Under the line, one divided bar: dark is reviewed members, open is candidates the linker flagged and no reviewer has read. Exact counts stand under each panel and in the table below.
25 members · 206 candidates · 9 claims · 0 validations
18 members · 8 candidates · 12 claims · 2 validations
12 members · 90 candidates · 11 claims · 0 validations
9 members · 61 candidates · 8 claims · 0 validations
8 members · 130 candidates · 11 claims · 0 validations
8 members · 208 candidates · 10 claims · 0 validations
7 members · 89 candidates · 11 claims · 0 validations
6 members · 57 candidates · 11 claims · 0 validations
6 members · 223 candidates · 8 claims · 0 validations
5 members · 87 candidates · 11 claims · 0 validations
5 members · 43 candidates · 8 claims · 0 validations
4 members · 91 candidates · 11 claims · 0 validations
4 members · 98 candidates · 10 claims · 0 validations
3 members · 44 candidates · 12 claims · 0 validations
2 members · 37 candidates · 10 claims · 0 validations
2 members · 107 candidates · 9 claims · 0 validations
2 members · 49 candidates · 10 claims · 0 validations
1 members · 5 candidates · 12 claims · 0 validations
| River | Thesis | Members | Claims | Validations | Status |
|---|---|---|---|---|---|
| 2026: Energy, AI, and the Risk of Overbuilding. 1920s Echoes | AI's constraint is physical (energy); overbuild appears before anyone agrees it exists | 18 | 12 | 2 | living |
| Beyond GPS: How to Front-Run the Pentagon's 2026-2028 Dual-Use Tech Wave | Front-run the Pentagon's 2026-2028 dual-use tech wave | 3 | 12 | 0 | living |
| Elon Musk's Terafab is a WFE Windfall, Not an ASML Killer | Terafab is a $119B WFE windfall, not an ASML killer; it threatens the traditional foundry model | 1 | 12 | 0 | living |
| Hut 8: The Early Signals We Caught Before the Tape Did | Insider forensics: early signals before the tape | 8 | 11 | 0 | living |
| Hut 8: The Re-Rating Has A Deadline | Hut 8 re-rating has a deadline | 6 | 11 | 0 | living |
| I Read Commits, Not Charts. | The brand methodology: read commits, not charts | 12 | 11 | 0 | living |
| If You Hold Bitcoin on Coinbase, This Is Your Real Risk Model | Your real risk holding BTC on Coinbase, and the model for it | 2 | 9 | 0 | living |
| MSTR/BTC: Part 1. Inside the Corporate Engine That Outruns Bitcoin | Saylor built a corporate structure that multiplies Bitcoin: the DAT loop | 25 | 9 | 0 | living |
| Proof of Geometry: When Strategy's (MSTR) Structure Moved Before Price | Balance-sheet geometry moves before price; the Mirror Point | 6 | 8 | 0 | living |
| Strategy Inc Shockwave: The SEC Filing That Set the Turn | SEC filings set the turn in MSTR | 2 | 10 | 0 | living |
| Strategy's STRC: The Signal that Moves Bitcoin's Income Engine | STRC turns Strategy into an income engine; get paid while waiting | 8 | 10 | 0 | living |
| The Crypto Post-Cull Playbook: What Survived and How to Allocate Now | After the cull: what survived and how to allocate now | 4 | 11 | 0 | living |
| The Internet Economy Is Being Rebuilt - for AI Agents | The internet economy rebuilt for AI agents | 9 | 8 | 0 | living |
| The Investable AI Stack, Part I: The Great Split and Who Captures the Value | Structural map of who captures value in the AI stack | 7 | 11 | 0 | living |
| The Investable AI Stack, Part II: Own the Hard Assets | Own the hard assets in the AI stack | 5 | 11 | 0 | living |
| The Real MSTR Trade Is Not Bitcoin. It Is the Premium. | The MSTR trade is the premium, not bitcoin | 4 | 10 | 0 | living |
| We Tested Stripe, Coinbase, and Circle on AI Agent Payments. Here Is the Math | Measured math on Stripe, Coinbase, Circle for AI agent payments | 5 | 8 | 0 | living |
| Why AI Agents Can't Use Crypto: The GENIUS Act Trap | The GENIUS Act traps AI agents out of crypto | 2 | 10 | 0 | living |