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Book a Diagnostic
THE ARCH LIBRARY

A body of knowledge,
built in the open.

We share the frameworks, analyses, and decision tools we've developed navigating Web3's most consequential infrastructure choices — before anyone asks us to keep them proprietary. What we know improves when more people think with it.

Read freely. Cite generously. Build seriously.

19 resources · 4 disciplines · Updated quarterly
I
FOUNDATIONS

Foundations

The intellectual core. What we believe, why we are here, and what has shaped the way we think about this industry.

II
GRANT INTELLIGENCE

Grant Intelligence

Programs, ecosystems, timing, and tactics. How the Web3 grant landscape actually works — and how to navigate it as a builder.

Process Guide Published

The Grant Process: Phases, Deliverables, Pricing

From diagnostic to funded — the full mechanics of how we run a grant engagement, what the timeline looks like, and what a success-aligned fee structure means in practice.

Program Map Published

Grant Programs 2026: Where the Capital Is

The major programs mapped — EF, Optimism, Arbitrum, Uniswap, Polygon, Solana — with what reviewers actually evaluate and what consistently separates funded from rejected.

Program Guide In Research

The Stellar Community Fund: Complete Applicant Guide

How the SCF works, what they fund, acceptance rates across rounds, what winning applications look like, and how to time your submission.

Program Guide In Research

Optimism RetroPGF vs. Mission Grants: Which Track Fits

The two distinct funding paths in the Optimism ecosystem compared — when to apply for retroactive recognition vs. upfront mission grants.

III
ECOSYSTEM FRAMEWORKS

Ecosystem Frameworks

Decision guides for builders making consequential infrastructure choices. Which chain, which stack, which approach — with the grant landscape mapped alongside.

IV
MARKET ANALYSIS & THESES

Market Analysis & Theses

Honest assessments of where Web3 sectors actually stand — not where the narrative says they are. What's real, what's failing, and where durable opportunity exists.

Market Thesis Published

The DePIN Thesis: The Infrastructure Layer Nobody Is Advising On

Why DePIN represents the most structurally compelling long-term use case for blockchain — and why the advisory gap that makes it underrepresented is exactly where The Arch sits.

Market Analysis Published

RWA in 2026: What's Real, What's Still a Narrative

Separating genuine infrastructure progress (tokenized Treasuries, payment rails, financial inclusion) from structurally constrained narratives (real estate, the trillion-dollar projections).

Cycle Analysis Published

Blockchain Gaming: Why Every Cycle Fails the Same Way

A structural analysis of why blockchain gaming keeps reproducing the same failure — from Axie's 95% collapse to the 93% failure rate of GameFi projects — and what a different approach actually requires.

Sector Analysis Published

SocialFi: The Graveyard and the Genuine Opportunity

From Friend.tech's collapse to Farcaster's 95.7% registration drop — understanding the core tension in SocialFi and where structural opportunity remains despite the failures.

Market Thesis Published

Stablecoins: The Invisible Money

$33 trillion settled in 2025. The most mature and proven application in blockchain — and the clearest evidence that the 'infrastructure thesis' is no longer theoretical.

Market Thesis Published

DeFi: The Settlement Layer Wall Street Didn't Build

Apollo on Morpho. BlackRock on Uniswap. JPMorgan on Base. The primitives are real — and the institutions that dismissed them are now using them as settlement infrastructure.

Sector Analysis Published

DAOs and Governance: Who Actually Governs Web3

Arbitrum DAO has deployed $700M+. Major proposals pass with under 5% participation. The reality is more functional — and more fragile — than either critics or advocates acknowledge.

Market Thesis Published

AI × Blockchain: When Agents Need Wallets

AI agents cannot open bank accounts. The convergence of AI and blockchain is structural: agents need wallets, AI needs compute, AI outputs need verification. Here is the honest case.

These documents are living work. They improve with scrutiny, disagreement, and use. If something here is wrong or missing, we want to know.