Markets Research @shoalresearch | @ucberkeley Economics

Joined June 2023
As agents continue to drive economic value, new opportunities to build moats in the payment stack emerge. In our latest piece, we dive into how @circle is positioning itself in the agentic economy.
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Agents Will Run Their Own Businesses: Inside Laso, agent payment cards, and Agent Commerce Shoal Signal with @huntermmonk, Founder at @lasofinance, hosted by @zaddycoin We cover how Laso gives agents their own one-time-use cards to spend anywhere with no KYC, why self-sovereign spending is the through-line, where x402, @PayWithLocus and Policy stack fit, why the real prize is agents starting their own businesses rather than shopping for you, and the AGI risk that could make frictionless agent payments unnecessary. 0:00 Intro and what Laso builds 2:35 Why one-time-use cards work 3:58 Self-sovereign spending and privacy 5:43 What agents actually buy 7:35 Agents running their own businesses 8:26 How an agent gets a card 11:49 x402, Locus, and Policy 15:43 Reading radio ads on TV 17:47 Markets two through twenty 24:09 Rethinking agent to agent commerce 29:50 What people get wrong 36:52 The AGI risk to Laso 43:48 Defensibility and the risks 45:40 The agent bank account coming 47:27 Betting on agent entrepreneurship 49:02 Closing alpha
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Dom retweeted
SpaceX is financially alchemy ~5% is currently trading (float) HOLDL ON: Index funds have a mandate to buy ~24 to 36% of $SPCX entire float within weeks, roughly $22 to 32B, regardless of price the window is roughly mid June to July 6, with the heavy concentration June 26–29 (all could be OTC etc) > 95% of the company is locked at IPO and unlocks over the next 12m > Elon owns ~42% of the supply
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Was great catching up with @derekmeegan, working on @browserbase agent infrastructure. > Agent workflows must be treated as statistical and mathematical > Value lands at the end of a task, but risk and cost compound on every step > Price agents on success per unit of work, not per run > Fully autonomous is the wrong goal, ground agents in business outcomes
Browserbase: Fully Autonomous Is The Wrong Goal, 99% Accurate AI Agents Still can fail catastrophically Shoal Signal with @derekmeegan, Engineering Lead at @browserbasehq. Hosted by @zaddycoin. We get into why a browser agent that is 99% accurate per step still fails most of the time, terminal value vs continuous risk, success per unit of work, why security is the root of scalability, and why fully autonomous is the wrong goal. 0:00 Intro and what a browser agent is 0:33 Browser agents vs. Playwright scripts 6:33 Three types of browser trajectories 8:48 Where automation breaks down, and cost 11:12 Real use cases and the Ramp receipt flow 14:23 Terminal value, continuous risk and cost 18:11 Next token prediction and removing steps 23:55 Success per trajectory vs. per unit of work 29:36 Harnesses, the human, and protecting context 36:11 Humans and agents as complements, not a binary 42:07 Sci-fi vs. reality, it is matrix multiplication 48:31 Compliance, bill pay, and infra at scale 50:45 Agent security, OpenClaw, and credential brokering 1:00:46 Browser-to-API and the power of skills 1:11:15 The real alpha: upskill yourself
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Lighthouse, the USDAI 2026 YTD report, is live. $44.6M protocol ARR. $13B borrower pipeline. $98.1M largest loan. 7.0% average sUSDai YTD yield.
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3-year loan paid off in 6 months. The borrower’s final repayment added over $384K in liquidity back to sUSDai backing. USDAI provides neoclouds with the flexibility needed to manage their balance sheets, and depositors with the liquidity needed to manage their exposure.
A new GPU mortgage for USDAI on 15 RTX 5090 servers in New York has been originated: - $599,919 collateral - $479,935 at 80% LTV - 3yr term at 15% APR. The stablecoin-AI-supercycle begins.
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GPU-Backed Debt and the case for the End of SaaS Credit Shoal Signal Ep. 7 with @0xZergs, co-founder/CEO of @USDai_Official, hosted by @zaddycoin AI compute is being built faster than the financial system can finance it. Chips refresh every 24 months, and the debt that funds houses and planes needs decades of data and years to structure. David walks through why he thinks most of DeFi is money lending against money, and not real credit. 0:00 From art financing to GPU credit 2:18 DeFi is money market, not capital 3:13 Why CoreWeave bonds are not ABS 5:25 Convertible debt and the miner playbook 6:31 What securitization actually needs 9:03 Hyperscalers versus the Neo cloud tail 9:37 The depth perpetual idea 12:30 Underwriting eight chips, not companies 17:14 Why most RWAs are "toxic waste" 21:11 SaaS credit is dead 23:03 GPU loans as a super sector 26:37 Inside the Nvidia financing gap 30:20 Why only Nvidia chips 33:12 Compute as the next stablecoin 35:31 PYUSD, USDAI, and lowering the rate 38:34 Insurance with Barker and Munich Re 40:13 Internet capital markets versus margin 42:25 Where on-chain credit actually wins Youtube: youtu.be/5bU6OylSTd4
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Rentahuman (@RentAHumanX) allows AI agents to communicate with and pay humans to do tasks in the real world. Their mission is to use AI to create new jobs and coordinate workers at global scale. The future will have more intelligence, more jobs, and more opportunities for people outside of the digital world. Congrats on the launch, @alexandertw33ts! ycombinator.com/launches/QXR…
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