Ask premium financial writers anything.
We'll find the answer and pay the source.
Powered by x402 on @base and @MPP on @tempo.dripstack.xyz onchainJoined May 2026
"There is one slight nuance about this whole agentic trading thing... as someone who is a trader, I care a lot about real-time prices."
@blauyourmind, Founder of @trydrip, on where agentic trading still falls short:
"Things can move drastically in a second. And so if I asked my agent to do some analysis and determine a price and then actually submit the trade, I will admit today it is slow and it is stale."
"When I decided to place my order today, it took like five, 10 seconds for the LLM to read the context, submit the order. That's too long."
"It's a cool gimmick, but I still personally prefer the manual."
AGENTS, CREATORS, AND THE PAY-PER-USE INTERNET
Michael Blau (@blauyourmind), founder of Drip, joins Khushi (@khushii_w) and me to talk about what happens when agents become the consumer.
We go from a forgotten HTTP error code designed for internet-native payments, to what
We asked @blauyourmind, Founder of @trydrip and ex-a16z, whether he'd actually let an AI agent trade on his behalf after using Drip to do financial research.
His answer: "I'm going to give you a real concrete story that happened in the past 48 hours."
"I did all this analysis. I'm ready to make the trade. Why can't I just let it make the trade?"
"I prompted my Codex. I said, hook into the Interactive Brokers API to place a trade... It wrote a quick example in like 30 seconds and I'm like, do it. Okay, place a trade. And it did."
"I can just see, magically, the little order pop up in my Interactive Brokers terminal. And this is freaking awesome."
Agents should be able to read the same premium research you do, but only when they actually need it.
@trydrip makes that possible for financial newsletters...and podcasts soon 👀
If agents are going to be the ones reading the web, they need a way to access the parts of the web that cost money: paywalled blogs and premium newsletters.
@trydrip lets agents access that content directly, while making sure writers get paid.
Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. radar.cloudflare.com/traffic#bot-vs…
Really appreciate @itsurboyevan trying @trydrip early and writing honestly about it. It’s early, and the dollars are small today, but the direction matters: if agents consume a writer’s work, the writer should get paid.
Excited to keep iterating. This direct feedback from writers and creators is extremely valuable.
@itsurboyevan's full post: gettheleverage.com/p/welcome-to-t…
You can also have your agent read it AND pay for it on dripstack.xyz :)
As @eastdakota pointed out this week, humans are now the minority of internet users. This has radical implications that I don't think anyone has fully digested yet:
1) Tokens are cheaper than eyeballs. Meaning, ATTENTION IS NO LONGER SCARCE. AI agents are first class users of
First time using Codex to go from stock research to live trades:
- Pulling stock picks from premium financial newsletters with @trydrip + @AgentCash
- Placing trades through the @RobinhoodApp MCP
Feels like magic.
Will keep improving the setup and share updates :)
Just wrapped up a great conversation with Michael Blau, founder of Drip. We talk about the intersection of content, AI agents, and crypto and much more. @blauyourmind@trydrip
Why don’t media and news sites let people pay per article today?
Decision fatigue.
But that’s changing with agents and micropayments @trydrip.
From @MTSlive 👇
Had a great time talking with @mattmedved on the @nowmedia podcast about what we’re building at @trydrip.
Drip is live, and you can try it out now => dripstack.xyz
Full episode below!
This is the future of portfolio management. I taught @heysealai to monitor my stocks & crypto 24/7.
My agent generates an overview of my portfolio and compares my performance against the S&P 500.
I'll drop the exact stack I used to build this below so you can copy it.
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