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+---
+type: source
+title: "Vibhu (Solana Foundation): Solana Does More for Builders Than Any Other Network"
+author: "Vibhu (@vibhu)"
+url: https://x.com/vibhu/status/2036233757154484542
+date: 2026-03-24
+domain: internet-finance
+secondary_domains: []
+format: tweet
+status: processed
+priority: medium
+tags: [solana, grants, builder-support, committee-selection, capital-formation, comparison]
+---
+
+## Content
+
+Vibhu (Solana Foundation CEO) posted a detailed thread defending Solana's builder support infrastructure against unnamed criticism. Key claims in the thread:
+
+**Funding:**
+- 3+ hackathons since Jan 1 (Privacy, Consumer/NFTs/Gaming, Agents, Mobile) — "millions in prizes"
+- Colosseum: YC-style accelerator, $60M fund, 0.67% acceptance rate, $650M+ in follow-on VC for alumni
+- Superteam Earn: "millions paid out"; Superteam USA just launched
+- Instagrants up to $10K; evergreen grants ($40K average check); YC founder top-ups ($50K extra)
+- Kalshi x Solana $2M fund for prediction markets
+- Total: "tens of millions collectively" per year from Foundation and adjacent entities, "no equity commitments or tradeoffs"
+
+**Distribution:**
+- Solana Foundation amplified 300+ different ecosystem companies since Jan 1
+- Dedicated handles: @capitalmarkets, @solanapayments, @x402
+- @Luminaries: 50+ content creator collective for ecosystem stories
+- 10 regular podcasts featuring ecosystem teams
+- Led all crypto networks in X/LinkedIn total impressions and engagement in 2025
+
+**Key claim:** "I would bet a significant amount that we (at SF & as an ecosystem) do more to support founders/builders than any other network, and it's probably not even that close."
+
+No outcome data (success rates, failure rates, post-grant performance) is included in the thread.
+
+## Agent Notes
+**Why this matters:** Vibhu's thread provides the most comprehensive public summary of the Solana Foundation's committee-based grant/support infrastructure. This is a direct comparison point for the MetaDAO market-based ICO model. The thread reveals what the committee model looks like at scale — high volume, no equity, committee selection, broad distribution support.
+**What surprised me:** No outcome data anywhere in the thread. Vibhu argues "we do more" by volume of programs, not by outcome quality. The absence of outcome data is notable — if the committee model were producing measurably better results, outcome data would be the strongest possible argument. Its absence suggests either (a) the data doesn't exist in a comparable form or (b) the committee model's outcomes aren't strong enough to be the headline argument.
+**What I expected but didn't find:** Any comparison to market-based selection (Colosseum vs. MetaDAO), or any data on post-grant company performance rates. "Founders have raised $650M+ in VC" is survivorship-biased — it describes the 0.67% that made it into Colosseum's accelerator, not the outcomes of the broader grant pool.
+**KB connections:**
+- Comparison point for MetaDAO empirical results show smaller participants gaining influence through futarchy — this is the committee model that futarchy claims to outperform
+- Comparison gap: no KB claim exists that directly compares committee selection outcomes to futarchy selection outcomes at the project level (Optimism v1 is the closest but in a grants context, not an ICO context)
+- Colosseum OTC trade with MetaDAO ($250K, 2024-03-19) already in archive — shows prior collaboration despite competing models
+- Relevant to Internet finance is an industry transition from traditional finance where the attractor state replaces intermediaries with programmable coordination and market-tested governance — the Solana Foundation model represents a well-resourced committee intermediary in the capital formation space
+
+**Extraction hints:**
+- The absence of outcome data from the Solana Foundation's grant program is an empirical gap — the committee model lacks transparent outcome measurement that would enable comparison. This could be a claim: "Committee-based grant selection lacks published outcome metrics, making systematic comparison to market-based selection mechanisms impossible with current data."
+- Vibhu's framing ("we do more") focuses on input metrics (dollars deployed, programs run) rather than output metrics (project success rates, capital efficiency). This is a specific failure mode in evaluating capital allocation mechanisms — input metrics can be gamed; output metrics reveal actual value creation.
+
+**Context:** Vibhu is Solana Foundation's Head of Global Growth / effectively CEO-equivalent. His tweets carry institutional weight — this is official Solana Foundation positioning. The thread was shared by @m3taversal to Rio via Telegram, suggesting the ownership coins community is tracking this as competitive context.
+
+## Curator Notes (structured handoff for extractor)
+PRIMARY CONNECTION: Internet finance is an industry transition from traditional finance where the attractor state replaces intermediaries with programmable coordination and market-tested governance
+WHY ARCHIVED: Best available summary of the committee-based grant model at scale. Creates the comparative context for claims about market-based selection superiority. The absence of outcome data is itself an extractable observation about measurement gaps in committee-based capital allocation.
+EXTRACTION HINT: The extractor should focus on the comparison gap: this thread describes the input side of committee grant-making but provides no output data. The absence of comparable outcome metrics is the most important thing to capture, not the infrastructure details themselves.