“We raised $22M — to reinvent the crypto trading frontend in the form of an agentic browser.”
A while back at the Silicon Valley 101 conference in San Jose, I shared our insights on agents and crypto trading, envisioning the next-gen agentic trading frontend. After the talk, the crowd was packed—I couldn't move:
"What are the pain points in crypto trading right now?"
"Why an agentic browser?"
"Why on-chain trading?"
Here are some of my thoughts:
(1/5)
For the last 6 months, we’ve prototyped Donut, with 100,000+ visionaries on the waitlist to co-create the interface for the financial internet.
Today, we're excited to announce that We raised $22M to build the world's first agentic crypto browser for trading.
Money doesn’t sleep. Keep it growing.
(1/15)
Crypto trading today feels more like an arena for institutions and pros. Retail traders are often at a disadvantage: info overload, delayed executions, emotional decisions, and orders getting front-run by market makers. Even staring at screens 18 hours a day doesn't cover 24/7.
To flip the script, we need to automate the "discovery → decision → execution" loop, with every step verifiable and traceable.
(2/5)
Many still stick to centralized exchanges, but on-chain opportunities aren't just real—they're exploding. Just look at the numbers: On-chain spot daily volume exceeds $20B, and on-chain perps have hit trillions this year, several times higher than at the start.
The on-chain world is more complex—more steps, strategies, and fragmented info—but that's exactly why AI can deliver outsized efficiency gains, directly impacting results.
(3/5)
That's why we're building an agentic browser. The browser is already your single entry point for info and orders; unifying research and execution turns "spotting opportunities" into seamless "matched trades."
LLM advancements make extracting signals from messy data feasible; automated code gen and quant modeling lower the bar for strategy dev and iteration. Breakthroughs in Donut for data scraping, unstructured understanding, and multi-dimensional analysis ensure stable signal outputs on the research side, then land them via strategy routing, risk control, and timing on execution.
(4/5)
Connected with top AI practitioners, scholars, and hedge funds in Silicon Valley. Turns out many traditional hedge funds are building internal trading agents too—they're just more closed-off.
Our approach: Bring this full stack on-chain, into the browser, making speed, discipline, and verifiability weapons every trader can wield.
(5/5)
The potential of AI has yet to be fully unleashed.
The intelligence behind large models has not yet been transformed into a capability that everyone can use in their daily lives.
Everyone deserves an AI quantitative analyst who truly understands them, always by their side.
Evolving from multiple fragmented, passive interfaces into a proactive, seamlessly connected, and truly understanding intelligent companion.
[Final]
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