early stage crypto fund accelerating the programmable future
NYC
Joined November 2021
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Archetype retweeted
We’re pleased to announce @Meow has accepted a $31.6M Series B led by @Stifel with participation from @archetypevc. That brings our total funding to over $60M.
This is a strategic investment and a partnership. Stifel will offer a white-label version of Meow’s platform to its commercial banking clients, starting with venture and fund banking.
Game on.
Fintechs are becoming banks. They’re going after charters and showing up with better technology than the banks they compete against.
Banks can spend years trying to build that technology, or they can run on a platform that already wins.
Meow proves it. We compete for startups, the most competitive and demanding banking market in the world, and we go head to head on product. We have billions of assets on the platform, billions in annualized payment volume, and millions in annualized profits at scale and in the market every day.
Most software sold to banks has never had to win a customer on its own. Ours competes for the most demanding customers every day. It’s proven. That’s why Stifel entrusted Meow with this deal and opportunity.
Now, we’re launching the ability for banks to have the entire Meow platform under their own brand:
→ onboardings
→ bill pay
→ expense management
→ invoicing
→ agentic compliance and backoffice
→ stablecoins
→ everything else
And it never falls behind. Every feature our customers push us to build ships to our bank customers too.
We anticipate Stifel’s venture and fund banking clients get all of it starting early 2027.
Meow will allow every bank to be able to compete with the industry leading fintechs. This will change the game for banks and is only the beginning. Now, back to work.
Archetype retweeted
and with that, another insane quarter at @turnkeyhq comes to a close
we officially crossed $200B in stablecoin transaction volume, just 9 months after crossing $100B.
the amount of money moving through our pipes has grown 4x YoY.
at the same time, we’re shipping faster than ever.
this month alone, we launched:
- cross-chain swaps
- onchain yield
- agent secret management
- Arc support from day one
and all of this sits alongside the stack we’ve already built across:
- stablecoin payments
- embedded wallets
- payment orchestration
- agentic wallets
- programmable signing + policies
- enterprise key management
what started as an idea to build better wallet infrastructure is becoming something much bigger.
we want Turnkey to become the layer behind how money moves onchain, whether it’s being moved by a consumer, enterprise, or even an AI agent.
we’re still so incredibly early.
zkML still feels impractical for broad use cases
But in Session 11 of Proof is in the Pudding, @cryptodavidw explains why it’s less ridiculous than it seems, and walks us through what’s needed for it to become a more widely useful technology
⌛️ TIMESTAMPS
0:00 Intro
1:44 What is zkML
5:32 Inference vs training
7:52 Alternatives to ZK for verifiable inference
10:44 Inside a transformer
15:25 Proving transformer computation
27:12 Quantization & SNARK-friendly models
31:58 KV caching & optimization opportunities
35:08 Agent-to-agent proofs & dynamic circuits
37:18 How zkML scales
38:50 Market for verifiable ML
Proof is in the Pudding is produced in collaboration with @zksecurityXYZ
Thank you to everyone who joined us and @TACEO_IO for the launch of Merces last night!
And to our speakers @Matteomanzi09, @cameron_nili, @Jessesawa, @JanCamenisch, and Jonathan Mayeur
The privacy layer for onchain finance is officially live
TACEO Merces is live on mainnet.
Real funds, on Monad and World Chain.
Public chains give institutions settlement, interoperability and composability. They also make counterparties and amounts visible to anyone with a block explorer, and the usual response has been to work in a walled-off environment, or to stay off the public rail altogether.
Merces makes privacy a property of the rail itself. Balances and counterparties stay hidden onchain, and no node in the TACEO network can read a balance, because no node ever holds one in readable form.
The state stays shared even while it stays private, which is what makes this more than private payments. A stablecoin transfer may only needs the transaction hidden. A tokenised fund, security or other tokenised assets (RWAs) needs a private register that still enforces eligibility, concentration limits and pro-rata distributions. Rules have to look across every holder at once without revealing what any one of them owns.
Financial logic still runs, and every operation produces a proof, verified onchain, that it executed correctly. Correctness is proved rather than trusted, so it doesn't rest on the integrity of any individual node.
Compliance works the same way.
Screening happens before a transaction executes, and afterwards the institution decides what gets opened to an auditor or a regulator. Specific records, not the whole book.
None of it requires migrating migrating your stack.
Merces works with the chains, token standards and keys already in use, and the same integration works across chains. No new chain, no new asset, no new wallet.
Payments settle on mainnet today. Yield, agentic payments, and issuer controls run on testnets, moving to mainnet through the rest of the year.
@monad and @world_chain_ are the launch networks.
@LayerZero_Core is building private cross-chain transfers with us.
@IntellectEU is integrating Merces into CatalyX for its bank clients.
@OrionFinanceAI is working with us on private vaults.
@ZenithNetwork is working with us on shared-state privacy inside Canton.
The onchain rails institutions want are finally getting the confidentiality they need
Congrats to the @TACEO_IO team on launching Merces!
The privacy layer for onchain finance is now live.
Meet TACEO Merces
Bank infrastructure, asset managers and cross-chain protocols already integrating, read more: core.taceo.io/articles/merce…
Should LLMs be allowed to write circuits and proofs?
If you have feelings about this, we have an event for you
We're cohosting a @WPReadingClub night with @kobigurk and Abhi Shah on the unlocks and challenges of formal verification
Please RSVP below if you'd like to join us!
Whitepaper Reading Club: Formal Verification in Cryptography
luma.com/wprc-nyc-260929-for…
Archetype retweeted
I couldn’t be more thankful to work with such an industry titan….
Chris is an incredible human and legendary builder. We’re beyond fired up to have him on the team at @octane_security
If you’re keen to work with @dildog and the Octane team, shoot me a dm! We’re hiring
🚀 📈
I am pleased to announce that I’ve accepted the role of Chief Scientist at @octane_security!
I’m excited to be working with @giovignone, @paologentry, and everyone on the Octane team to help build the next generation of their awesome AI-powered security analysis service.
ALT Octane Security
"The goal is to make producing useful, open intelligence worth doing even when no frontier lab or nation-state benefits from giving its advantage away.
We cannot count on their incentives staying aligned with ours.
We have to build a frontier of our own."
There's a huge opportunity to connect onchain capital with productive assets in the real world
And as AI infra continues its massive build-out, financing it onchain is a natural fit
@dawninternet is early here
Since 2024, DAWN has raised $40M to date to tokenize AI and connectivity infrastructure.
This has been led by @DragonflyVC, @polychain, @vaneck_us, and more amazing investors.
We’ve spent that time building. Here’s what’s ahead 👇
Archetype retweeted
Since 2024, DAWN has raised $40M to date to tokenize AI and connectivity infrastructure.
This has been led by @DragonflyVC, @polychain, @vaneck_us, and more amazing investors.
We’ve spent that time building. Here’s what’s ahead 👇
Archetype retweeted
100M+ agentic payments have already settled onchain. The agent economy is valid and operational. So what does a chain built for machine agency actually look like? A map of Ritual, in 6 posts 🧵
Humans read the web for free
But agents have to pay before they can even decide if a webpage is worth reading
So to help us better understand the costs and friction this creates, Archetype's @oddhash designed a lens that lets us see the web through the eyes of a machine
Stripe’s homepage has 637 KB of HTML for 539 words.
Humans read it for free, but a bot needs $0.26 to read the same words, because it wades 87,400 tokens of markup, if it even gets there.
With this in mind, I built a lens that shows you any webpage the way machines see them