Joey Kraut

waste not, want not

[Joey Kraut @jkraut_]

We hope you love it!

Shoutout to the Renegade team @sehyunchung @a_kirillo @chrisliambender, it’s incredible what small, motivated teams are capable of!

[Renegade 🏴‍☠️ @renegade_fi]

Renegade, the first on-chain dark pool, is live on Arbitrum.

Fully-private trading with zero MEV, slippage, or price impact.

Dark pools account for nearly half of the TradFi market, and Renegade unlocks dark pools for DeFi — https://t.co/q3GhIzeYFL

Here's how Renegade works 🧵

[Joey Kraut @jkraut_]

@FrancescoSacco1 @reactorworld This is so cool, thank you for publishing this!

[Joey Kraut @jkraut_]

@JoeyHejna @oliviakoshy *was invited*

[Joey Kraut @jkraut_]

@peterthedecent I hear the backpack stays on... always

[Joey Kraut @jkraut_]

@weijie_eth @renegade_fi Welcome to the team!

[Joey Kraut @jkraut_]

The Time to Build essay is a different flavor of idea, no? This seems like a somewhat deliberate misinterpretation of that essay aimed at creating hypocrisy from thin air...

We should build in my backyard (the Haight) where it makes sense to have large, multi-family housing projects. Building housing everywhere just doesn't make sense.

You wouldn't build an apartment complex in Big Sur, so clearly there is a line. It seems pretty clear to me that a place as serene as Atherton is beyond that line. I don't even live there, nor would I particularly like to, but it does seem worth keeping a few places "small"

[Joey Kraut @jkraut_]

@oliviakoshy We had some of that this morning too, crazy!

[windump @windump]

lfg renegade (???)

[Chris Bender @chrisliambender]

If transparency improves execution, then why do 35% of US equities trade in dark pools?

The data disagrees — around 12% of volume is matched in crossing networks (e.g. MS Pool, SigmaX), and around 23% of volume is retail internalization. Are all of these traders just irrational?

ETF example — these funds hit the close because their mandate is to track the benchmark, not to optimize execution costs!

History of electronic markets — history doesn't stop in the early 2000s. As lit books went electronic, we also got block-crossing, icebergs, and mid-pegs, all of which hide intent.

The spectrum of information — the better model here is that the spectrum gives traders a choice in the price vs. time tradeoff. L0 = slower trading = lower impact, and L4 = faster trading = higher impact.

How market makers react to information — segmentation is orthogonal to privacy. You can have a private but segmented book (e.g. SigmaX) and you can have a transparent but non-segmented book (e.g. Binance).

I think the real answer here is just that privacy has been so incompatible with decentralization and low-latency trading — this changes very soon w/ @renegade_fi

Hyperliquid.

[Joey Kraut @jkraut_]

@lyronctk Yeah exactly, it's about ~3M gas on Arbitrum to settle a trade.

This isn't too bad actually, but there are tons of new things that could be built were gas cheaper.

[Arbitrum @arbitrum]

DeFi with privacy on @renegade_fi

trade with zero MEV, slippage, or price impact

built with Rust, powered by Arbitrum

[Joey Kraut @jkraut_]

@bwhite5290 Congrats Brandon!

[Brandon White @bwhite5290]

Announcing Axiom: Eliminating drug toxicity, without using animals!

Alex Beatson and I founded Axiom a little over over a year ago with the mission of eliminating drug toxicity by replacing traditional experiments, such as animal testing, with AI models. We are excited to announce that we've raised $15M in seed funding from Amplify Partners, Dimension Capital, and Zetta Ventures to get this done.

It has been a wild ride since we got started. Within our first year, we've created the world's largest human toxicity dataset, encompassing data on over 100,000 molecules generated through proprietary lab methods combined with 1000s of clinical outcomes structured using LLMs. With this dataset, we trained an AI model which predicts drug-induced liver injury more accurately than traditional physical experiments, addressing a leading cause of clinical failure recently exemplified by Pfizer's discontinued obesity drug.

We publicly launched this model at the Society of Toxicology conference in March and the response has been tremendous! We're actively conducting or finalizing pilot studies with diverse partners, including six of the twenty top pharmaceutical companies, a major agrochemicals firm, many biotechnology companies, hedge funds, and strategic partners. We're honored to partner with these insanely great scientists to rigorously assess our AI models and explore how to best integrate them into their drug discovery workflows. The expertise of these scientists is crucial for validating and thoroughly evaluating these new methods. We have multiple publications out already but we plan to share a lot more data from these early pilot studies in the coming months.

At the same time, the FDA recently announced plans to phase out animal testing over the next few years, emphasizing that animal studies will become "the exception rather than the norm." The HHS Secretary RFK has said that "they have found AI to be much more precise in identifying the impacts of toxins" on the human body. With our recent progress, Axiom is uniquely positioned to support the FDA and scientific community in realizing this shift.

We will eliminate clinical trial failures due to toxicity. And we don't need animals to do it.

For more, you can read Andrew Dunn's Endpoints article on Axiom in the comments.

[DEFINITIVE @DefinitiveFi]

Definitive $EDGE is now LIVE.
CA: 0xED6E000dEF95780fb89734c07EE2ce9F6dcAf110 on @base

$EDGE is available for trading on @krakenfx, @Gate_io, @AerodromeFi and Definitive, with more exchanges coming online.

CLAIM YOUR AIRDROP (over 124K addresses eligible):
>> claim./definitive./fi

[Chris Bender @chrisliambender]

If you're tired of logo x logo
If you're tired of playing the meta
If you believe in decentralization
If you want to build real shit

Come work on Renegade with us

San Francisco
Next to the golden gate
Fun people, fun problems
We work hard, and we will win
Inevitable

DMs open

[Zk Shedy @ZkShedy]

At this point, dark pools will always be the best solution. They’re reshaping how large trades are executed, offering privacy and reduced price impact for sophisticated traders and investors.

@renegade_fi is the first on-chain dark pool, using MPC matching with zero-knowledge settlement to combine privacy and decentralization. Orders are never exposed to the public until finalized.

Why Renegade?

➡️ Pre/Post-Trade Privacy: Orders stay hidden until matched. No strategy copycats.

➡️ Midpoint Execution: Trades clear at Binance’s real time price, zero spread, zero slippage.

➡️ Zero MEV: Validators only see ZK proofs no front-running, ever.

➡️ Opt-In Compliance: Stay decentralized but match with verified counterparties.

[Joey Kraut @jkraut_]

@jillgun @tangle_network @renegade_fi @cardinal_hq I swear, every time I go to implement a new crypto primitive, Espresso has a rust implementation ready to go…

Jellyfish in particular is really great, saved us a serious amount of time and has a very fast prover. Kudos to the team for all the contributions to open source!

[Joey Kraut @jkraut_]

You might like collaborative snarks!

They're theoretically interesting and introduce a set of unique challenges you won't find in zkVMs -- could be a neat addition

Check out @renegade_fi or @TACEO_IO

E.g. here's our MPC library:
https://t.co/Cp1g9xN5uT
and the PlonK prover we built on top of it:
https://t.co/TjlW1RrbUe

[Joey Kraut @jkraut_]

Interested to see whether prover networks can become the "skinny waist" between applications and the proof system + hardware advancements which seem to come at a blazing clip.

Congrats to the team on a truly impressive launch! @SuccinctLabs

[Succinct @SuccinctLabs]

The Succinct Prover Network Testnet is LIVE.

Generate proofs, earn stars⭐

[Renegade 🏴‍☠️ @renegade_fi]

Deep-dive on dark pools just dropped, from the giga-brains at 2077.

@korayakpinarr and @eawosikaa wrote one of the best-researched pieces on Renegade.

Some highlights below 👇