“Nobody wanted an interesting project if it had no token.” The fund started in that window: idea in 2017, launch in 2018, right after the ICO crash. - Bitcoin had gone from $20k to $4k. Pitching investors then was brutal. - Before the fund, there were attempts at diamonds on-chain and payments infrastructure. No token. No interest. - Mining, early deals, first-round names like Solana — those years were a learning curve, not a finished thesis. What came later filled in the map: - There were almost no DAOs yet. The first Ethereum DAO had already failed. - MetaCartel, The LAO, and the rooms after that brought pipeline and ideas. - They’re still in those communities. The industry was still being shaped in public. BR Labs founder @rezosh on why the fund was built in the worst window, and why that timing still matters. nitter.net/brlabsxyz/status/20994…

Solana: A Payment Infrastructure with a Familiar Interface Solana’s institutional payments story is becoming easier to evaluate because the announcements now describe specific financial operations. Banks are settling card-network obligations, payment companies are issuing digital dollars, and existing distribution networks are connecting those dollars to customers. Each development answers a different question about whether a public blockchain can support recurring financial activity. In December 2025, Visa announced that Cross River Bank and Lead Bank had begun settling with it in USDC over Solana. That changes how participating institutions discharge obligations to the network. Customers can continue using familiar cards while part of the settlement process runs on blockchain infrastructure. Seven-day settlement gives treasury teams another way to manage the gap between transactions happening continuously and funding arrangements that follow narrower operating windows. The economic opportunity is the ability to move and reuse liquidity when obligations arise. Where participants previously needed to maintain balances ahead of a weekend or wait for the next funding window, more frequent settlement can change how much cash must sit in each location. The actual saving depends on collateral policies, access to stablecoins, redemption arrangements and the availability of liquidity at the receiving end. A fast transfer only solves the part of the process that can actually use it. Visa’s September update reported a $20b annualized stablecoin settlement run rate, up from the $7b figure it published in April when the pilot supported nine blockchains. That figure belongs to the overall program; it is not Solana-specific volume. Mastercard’s June announcement also included Solana among multiple supported networks. Early partners were named at the time; this month SoFi began settling a live U.S. card program in SoFiUSD on that network, with most of the token’s supply on solana:So11111111111111111111111111111111111111112. Institutional demand is expanding through a choice of infrastructure providers. Western Union adds another dimension. It launched USDPT on Solana in May, issued by Anchorage Digital Bank, and introduced Stablecard with Rain in August. The chain is becoming connected to an existing money-transfer and spending business, giving digital balances a distribution path beyond crypto-native wallets. For BR Labs, the useful next questions are operational: which counterparties settle repeatedly, how much volume persists without incentives, what happens during congestion, and whether funds arrive in a form the recipient can immediately use. We would also look for evidence that settlement changes reduce reconciliation work or improve liquidity utilization. These measures will say more about Solana’s role in payments than another list of institutional logos. Infrastructure becomes economically significant when counterparties keep relying on it to meet obligations, including on the days when trading activity and token prices offer little encouragement.

BRRRolver ranked 1st by @CoWSwap consistency-reward share on Ethereum for the week ending 22 Sep. CoW does not let traders choose a solver, they sign an intent, the protocol batches those intents, and solvers compete on surplus. Consistency rewards then pay the solvers that stayed close to the best bid on market orders and settled on time. On the Ethereum consistency-rewards distribution: - BRRRolver took 13.4% of the week - Next were Fractal 11.4%, Sector 11.2%, Quasi 9.4%, and Kipseli 7.7% - The figure is not volume or batch wins, it is how consistently the protocol paid us for staying near the best surplus for users that week Consistency-reward share is the percentage of that weekly budget a solver earned, and how consistently it stayed in the market for users. dune.com/queries/7939178/119…

Institutional on-chain execution is an implementation-shortfall problem. For a desk selling size, the benchmark is the market price when the trading decision was made. Execution quality depends on the final proceeds after costs and the opportunity cost of any unfilled amount. Spread, market impact, gas, MEV leakage, failed execution, and delays can all affect that outcome. These effects overlap, so attribution matters. That is why “MEV protected” tells an institutional desk too little about how its order will actually execute. Several distinct mechanisms sit behind that label: 🔸️ Private order flow limits exposure to the public mempool. Privacy alone does not add liquidity, and participants receiving the order may still see it before settlement. 🔸️ Batch auctions can match compatible buying and selling interest, reducing the residual volume that needs to reach AMMs. 🔸️ Solver competition can bring together inventory, private market makers, multi-pool routes, and temporary financing. 🔸️ Just-in-time liquidity can add depth around a particular order. That liquidity may disappear immediately after the trade. Intents give the desk a way to define the required outcome: the assets, amount, minimum proceeds, and expiry. Solvers then compete to construct an execution that satisfies those signed constraints. Settlement checks enforce the order’s conditions; the order can still expire unfilled. Routing remains part of the job. A solver also has to assess whether a proposed settlement can be financed, remain economically viable, and reach the chain while gas prices, inventory, and pool states are changing. An attractive route at quote time may no longer be executable by the time it is included. The auction design matters, too. - @CoWSwap Protocol uses combinatorial batch auctions, allowing solvers to bid on individual orders or groups of orders. - @1inch Fusion uses a Dutch auction, with resolvers competing to fill as the offered rate changes. Both delegate execution to specialists, but create different incentives around price, timing, and order matching. At BR Labs, these are the engineering questions behind BRRRolver: combining route discovery with auction timing, gas costs, temporary liquidity, and the probability of a successful fill as market conditions change. Flash liquidity expands the set of executable routes by financing intermediate steps within a single transaction. It can reduce the need for prefunded inventory, while adding repayment and fee requirements that the settlement must satisfy. For institutional desks, the useful evidence is measurable execution performance: implementation shortfall against the decision price, fill rates and time to fill under stress, reliability across changing liquidity conditions, and who can access order information before settlement. Those measures show how much of the available liquidity a desk can actually use, at what cost, and with what reliability. markets.financialcontent.com…