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Want to try profiling Atlas? 👀 We’re not an Agave fork so there’s probably a bunch of stuff that we do differently, some better some worse.

One consequence of hyper-financialization is that everything starts to look like a shitcoin. Something I think about a lot is crypto’s ability to both amplify speculative price discovery and facilitate better market mechanisms. Striking the balance is an unsolved problem.

I will be speaking at Solana Accelerate this morning! I will be talking about how Atlas scales the SVM. Our team’s edge is our ability to synthesize our knowledge of blockchain, technology, and markets. I’m excited to share some of our insights with the Solana community.

Crypto can enable capital formation for credible enterprises while minimizing friction, but today's mechanisms are extractive and broken. Enter Gavel : - Sniper-resistant auctions for sourcing capital - Day 1 price discovery without frontrunning Internet Capital Markets

Last year, we designed and implemented a new DEX that could protect users from atomic frontrunning. I was disappointed that the only thing we shipped was a blog post. Today, we finally shipped the world's first sandwich-resistant AMM to production! 🚫🥪

if this works as advertised, this is huge. huge alpha in the first high profile token launches that use this snipe-resistant AMM design.

I was helping one of the Ellipsis Labs engineers debug some code, but I couldn’t figure out how to use his keyboard. It turns out that he uses Vim bindings with a Dvorak layout. You’re not bullish enough on this team, anon.

We're very proud to have done the final audit on the Gavel sandwich-resistant AMM by Ellipsis Labs. If you're a Solana dev, we strongly recommend to take a look at this code. It's using just solana_program instead of anchor and unlike many other non-anchor programs its very

In the past year, Solana has had less downtime than the platform you’re reading this on

Both displayed (public) and hidden (private) liquidity play important roles in market structure. Displayed liquidity allows prices to converge. When market makers compete, a reasonable matching engine will ensure that users get filled at similar, fair prices. Public information

The next phase of Gavel's burn mechanism has begun ✅ Gavel's AMM is for transient liquidity—good for early price discovery, but outcompeted on efficiency by more mature on-chain liquidity like Phoenix 🔥🦅 or SolFi. So liquidity is withdrawn and used to buy-and-burn the

If you missed Jarry Xiao 🐦‍🔥🌐 at Accelerate last week, here he is explaining how we’re scaling verifiable finance. He breaks it into: Scaling reads—web2 vs crypto solutions Scaling writes—through opinionated sequencing Scaling replication—via real time state root calculation

TL;DW • The blockchain read layer should be a set of programmable read replicas. • Exclusive bandwidth ensures that spam won’t block important state updates. • A verifiable state hash makes it easy to ensure consistency across replicas.

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The Gavel smart contract has a simple premise: take the token distribution pie charts that teams blast online as marketing fuel and enforce them programmatically. There's no fancy financial engineering, it's just transparent accounting.

The CT conversation about designing infrastructure for orderbooks is eerily similar to the AMM discourse in 2021. These are complex systems with tons of emergent properties that are difficult to predict from first principles. Winners test in prod to tighten feedback loops and

One helpful mental model for almost all software is that a complex backend needs all of the following: - ConfigParser: Bespoke configuration for the system - Runtime: Control over compute resources (OS/green threads) - Channels: Message passing between components - Telemetry:

Designing a perp DEX requires the implementer to have a thorough understanding of (1): - Matching engine microstructure - On-chain programming semantics - Computational limitations - Leverage and risk (price risk, market design risk, oracle risk, administrative/operational risk,

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The biggest advantage of CLOBs is that they are easily interpretable. Every price level has a fixed supply: removing lots by crossing is similar to buying items from a vending machine. You can reasonably explain the mechanics to a sharp high school student. This simplicity is