I’m not a 9 UTR but have been using AI for the same. My tennis game, especially serve mechanics and kinetic chain have drastically improved.
I grew up playing tennis competitively, and two years ago, before two kids, I was still pretty good (9 UTR). I’ve been getting back into it, but I wish I had a world-class coach telling me what to work on. But good coaches are expensive, selective, and hard to find, whereas models are cheap, available, and should be already good enough. So clearly, @nicochristie and I needed to explore what's possible.
We chained open-source models post-trained on tennis. This cut each broadcast down to live play, found and tracked the players, ball, court, and labeled every stroke with its type and a 65-joint skeleton. We then post-processed this data into 30+ biomechanical traits across serves, forehands and backhands, normalized for each player’s build and the camera.
This included the goat @DjokerNole, @carlosalcaraz, @DaniilMedwed, @FTiafoe, @AlexZverev, @BenShelton, @Taylor_Fritz97, @NickKyrgios, @AndreyRublev97, @janniksin, and @TommyPaul1.
Using the same pipeline, we then processed phone footage of myself and @phamrich_ (ex-D1, used to be >13 UTR) playing. Then we gave Claude all the measurements with a blank context.
What impressed me:
- Without being told, it found my weaker side (forehand) and Richard’s (backhand)
- It joined differences that looked separate into one root cause per stroke
- My own diagnosis of my forehand was wrong. Claude’s makes a lot more sense
What do you think? @bgtennisnation @paul_annacone @darren_cahill
Drop youtube links here if you want Coach Claude to give you tips
So this is @airchina business class. We waited in the dirtiest van I’ve seen in a long time with no aircon until the entire plane boarded. Then was tossed this as the inflight meal. This is why I take the fantastic trains in China whenever possible.
Doesn’t take much knowledge off AI to understand that unregulated RSI is a really bad idea. You don’t need magic, consciousness, or even “Super Intelligence” for uncontrolled really bad outcomes to occur. Anyone saying there’s no danger is lying or ignorant.
GrokBot is truly impressive. First Agent that can actually do things on the internet out-of-the-box without having to have some technical understanding.
Joshua Maddox retweeted
We've kicked off The Wallet Co, a mobile app that pairs the usability of modern fintech with self custody and blockchain native products. I'm excited to announce the initial team soon.
One role we still need to fill: operations and compliance. And this is not a typical ops/compliance hire.
First, why this is a big opportunity. The team behind The Wallet Co founded SoFi and Figure. We put the first consumer loans on blockchain, originated nearly $30 billion, launched the first SEC registered interest bearing stablecoin, and listed the first public equity on chain. The Wallet Co is the consumer layer on those rails: yielding cash you can spend, real world asset yield no bank can match, securities prediction markets, and an AI agent in every wallet. Money is moving on chain. The app that makes that usable for normal people, without giving up custody of your assets, is a generational product. That's what we're building.
Now the role. Ops and compliance scale linearly with volume. Double the customers, double the KYC reviews, the transaction alerts, the reconciliations, the support escalations, the headcount. Every fintech accepts this. I don't want to.
The mandate is to run both functions the traditional way on day one, and then systematically hand the repeatable work to AI. Alert triage, document review, reconciliation, regulatory change tracking, audit prep, vendor monitoring. Build the playbook by hand, teach agents to execute it, and reserve human judgment for the decisions that genuinely require it. Accountability always stays with a person. Leverage is the goal, not replacement.
What you need: real experience across both sides of the house. On compliance, KYC/AML, state licensing, and audit. On operations, payments and money movement, customer onboarding, reconciliation, and bank and vendor partner management. Enough scar tissue to know what can never be automated. And a builder's instinct, because the honest job description is to make your own job smaller every quarter. Most careers in this function reward growing a team. This one rewards shrinking the work.
If we get this right, ops and compliance cost scales like software while volume scales like a marketplace. That's a moat, and you'd own it from day one, with founding team equity.
DM me if this sounds like you, or tag someone I should reach out to.
Joshua Maddox retweeted
Announcing OpenWorker! An open-source agent that doesn't just chat with you, but delivers finished work -- like hand you a polished document, send a slack message, or update a calendar entry.
Ask it to prepare a customer brief, untangle your calendar, draft a report, or triage a Slack alert. It works across your files and everyday tools, produces the deliverable, and checks in before doing anything consequential.
OpenWorker runs on your Mac, with Windows support coming soon. It does not lock you into any one model. Bring your own API key and run it with GPT 5.6 Sol, Claude Fable, Gemini 3.6, an open weight model (like Kimi, GLM, DeepSeek, Inkling), or Ollama to keep your data local. Your data does not leave your machine except through an LLM provider and integrations that you choose.
@rohitcprasad and I are building OpenWorker because AI coworkers are an important way to get work done, and we want there to be an open, privacy-preserving, model-independent option. Check it out and let us know what you think!
Try it out: openworker.com (requires your own API key)
Source code: github.com/andrewyng/openwor…
The Claude Security plugin for Claude Code is now available in beta.
Scan your changes for vulnerabilities before you commit, or run a full scan across your codebase, all from your terminal on the Claude inference you already run.
So true. Don’t let other people’s perception of you block you from doing the thing you’re not doing.
Cloudflare Base
🤝
x402
We're opening the waitlist for our Monetization Gateway, which will allow you to charge for any web page, dataset, API, or MCP tool behind Cloudflare. The charges will settle in stablecoins over the x402 open protocol. cfl.re/4eUFdt6
The founder in their 40s with taste and discernment is the new gentleman unicorn founder
Because there can be 100x to 1000x of them working at their beck and call via agents and software factories all the time
The age of the 40-year-old founder is back.
Bryant Chou spent 12 years as CTO of Webflow, which now powers something like 1.5% of the entire internet. He's back in the current YC batch with Ploy, an AI marketing platform, and he describes himself as "a bit of a boomer, double the age of the YC founders." But over 13% of his batch is already using his product, within months of launch.
There is a side of the argument which destroyed one of the main edges young founders have, which was being faster and cheaper at building.... speed is everyones game.
If what's left is knowing what to build this is more likely to come from spending 15 years watching an industry up close, collecting the thousand small frustrations that tell you where the real problem is. Bryant can build an anti-slop website tool because he spent over a decade learning exactly why websites are slop.
So I'm updating. I don't think it's young vs. old. I think AI rewards whoever has the most domain knowledge to point it at, and only sometimes is this younger founders who are thinking outside of the box...
Don't let this slip under your radar.
Prepare your site for AI agent interaction with Lighthouse → goo.gle/3ReK3JD
If you want AI agents to actually navigate your site properly, the new experimental audit in Lighthouse lets you see:
☀️ Discoverability for AI agents
⚡ WebMCP integration
👀 AI accessibility
#GoogleIO
Joshua Maddox retweeted
Introducing Antigravity 2.0, a new standalone desktop application that delivers fully on that original glimpse of a truly agent-optimized experience.
Rebuilt from the ground up with multi-agent teams, scheduled tasks, native voice and one-click integration with other Google products.
Learn how to get started with Antigravity 2.0 👇
This is what's happening.
Joined a new AI-native company this week and it’s kind of wild how different it feels already.
The laptop arrived, I logged in, and an agent basically took over from there. It set up my dev env, pulled repos, fixed dependency issues, got permissions approved, pointed me at the backlog, linked the architecture docs, and surfaced the Slack debates I actually needed to read before touching production.
When I needed context on something, I asked the agent and it found the exact thread from months ago explaining why a decision was made, who owned it, the related Linear issues, and the PRs connected to it.
I’ve only been here 3 days but it honestly feels like I’ve worked here for a year because the usual friction and scavenger hunt for context just isn’t there anymore.
We should probably stop calling this “onboarding” and rename it to “mounting” because this feels a lot more like mounting a distributed filesystem called “institutional memory” than slowly getting drip-fed context over 6 months.

























