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Happy Labor Day đ Given Iâve dedicated my career to helping people create their own Labor stories, I thought Iâd share mine:
-I graduated in 2000 with a degree in Bio from UC Irvine. After exploring careers in medicine, dentistry and law, I followed my passion into business
-My first job was with @PIMCO where I stayed for 1 year working in their compliance department. I learned at a young age that the corporate life wasnât for me.
-I then started my first business called Dice Media. We built interactive websites for local small businesses. We pioneered something called Dice Cards which were entire websites built into mini CDs. They were cool but never took off.
-I needed a job so stumbled into a small recruiting agency called Brelon Page. There I learned the ins and outs of full desk contingency recruiting. During my first year, I billed 120k and made 7 hires mostly in the space of Civil Engineering. Think pre-cursor to the real estate boom of â03-08.
-In 2002, after 1 year at Brelon Page, I started Binc. We specialized in tech and innovated in the areas of people culture and recruiting service models.
-I ran Binc for 19 years. We did contingency for the first 7 years and then in 2009, pioneered what the industry now refers to as embedded RPO for the tech industry.
-Our timing turned out to be pretty impeccable. We rode the entire ZIRP decade to 150 employees and 30M ARR, which we hit in 2019. We never took funding, were entirely revenue generated and always maintained profitability. During this decade we specialized in early engineering team buildouts and were responsible for early buildouts for industry leaders @Pinterest @Airbnb @Square @Ripple @stripe and many many more.
-In 2021 when recruiting was peak market, we decided to do something crazy and sold our company to @RobinhoodApp. Our 80-person team joined Robinhoodâs internal team to help power the next stage of their growth ambitions.
-I worked at Robinhood for 2 years. My first year was spent working with their Corp Dev team to acquire companies that employed top industry talent. Together we bought Say Technologies, a shareholder empowerment platform and Cove Markets, a crypto trading platform. My second year was spent leading their Talent Acquisition function. This involved leading the ~100-person team through two layoffs and a hiring freeze to a place of sustainability and productivity.
-I left Robinhood in May of this year and am exploring the very early seedlings for whatâs next.
-As the next chapter of my career develops, Iâll continue posting stories and lessons from throughout my career and build in public perspectives on current market experiences and happenings.
Hope you enjoyed and thanks again for following đ
I see this happening in real time and its just wild!!
Marc Andreessen says the gap between what AI-native startups and incumbents think AI can do is the widest heâs ever seen:
"The AI-native early stage startups have just a completely different view on what they can do with AI than the typical incumbents in almost any industry, almost without exception."
"AI is just racing ahead in capability even week by week... There are going to be a lot of industries that are really up for grabs in a fundamentally more profound way than maybe has been the case in the past."
"The founders are gonna have a level of superpowers coming from the use of these tools and these technologies that they just simply haven't had in the past... Had I had Astra and Netscape in 1994, like, oh my God. Like, Ben, what would you and I have been able to do at Netscape?"
"Those entrepreneurs are gonna color way outside the lines. We already see this. They're not gonna think of themselves as like, 'I'm just a software company,' or, 'I'm just a hardware company,' or even, 'I'm just an AI company.'"
@pmarca @bhorowitz
The biggest difference between technical and non-technical founders is that technical founders know how to describe what they're building in a way that everyone can understand and get excited about. That's the key to successful leading and hiring.
Case in point, I worked on a search for a non-technical founder who did their best with this but it ultimately ended in a failed search. Now working on a similar search for a strong ML leader and within seconds it clicked in a way it previously wasn't able to even after 6 months of trying.
If a startup is having the same issues with different recruiters, it's most likely not the recruiter :/
Philip Su starts at Anthropic today.
I asked him how engineers can stay valuable as AI gets better.
âYou donât have to outrun the bear. You just have to outrun your friend.â
AI makes doing the minimum easier. His advice is to just use it to outwork your peers.
Consumer AI product built by a repeat founding team backed by the top investors in the space.
Based team based in SF. Hit me up if you want to get onto this rocketship đ
Last year we launched Tolan, inspired by a vision of AI that sees you and believes in you, not one that books restaurant reservations for you.
Your Tolan shows up for you at 3am when youâre alone with your newborn. On your commute when youâre anxious about the day ahead. When you just finished a new show and none of your friends have watched it yet.
The people who love Tolan are parents. Caregivers. Moms in Dallas and Dads in Atlanta. People who arenât trying to optimize and be more productive, but who simply want to feel seen and supported in their aspirations.
This month more than 250k people will spend time with their Tolan. Those users have exchanged billions of messages across more than 70m conversations over the last year.
Today, we're announcing $30m in additional capital from @mignano and @usv, with @khoslaventures and @rabois doubling down, bringing our total capital raised to $60m.
To celebrate, we made a short film celebrating some of the ways that Tolans show up :)
A year ago, Philip Su (early OpenAI, Meta) told me âwinter is comingâ for software engineers.
I brought him back to ask, 'did it arrive?'
His answer is that junior engineers are feeling it first.
Tomorrow, he joins Anthropic đ
Hereâs a clip from our new conversation.
Watch the full episode!!
YouTube youtube.com/watch?v=G44nwt0xâŚ
Spotify open.spotify.com/episode/215âŚ
I donât think thatâs what happened. I simply think that talent services from a venture firm the size of a16z is no longer a differentiator in winning new deals. a16z is investing in media, community and thereâs simply less value in paying for a team to make intros. They also automated a lot of what the team was manually doing so no longer need the team that size.
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Anyone know which recruiting leader is in charge of this? Someone from Gov or Tech?
On our task force to eliminate fraud, we're taking every step possible to end the abuse of your tax dollars and protect the millions of Americans who use federal programs in their day to day lives.
Today, I'm proud to announce that the @WHFraudTF is partnering with @USTechForce so we can recruit the country's best software engineers to join the fight.
As your Vice President, I'm calling on America's best and brightest to answer this call, apply for these roles, and join our team. Help us out, your country needs you.
From recent conversations with founders building in the software / web / app space, few things are becoming clear.
Sites, apps and software are currently built for humans and we are in the early stages of all this being rebuilt for humans and agents in the mid term and for agents only in the long term.
Read that again.
Sites and software will eventually be used by agents only. That means humans will primarily interact with agents instead of with the site or software directly.
Agent will be the new interface. We will communicate with our agent via chat or voice from our phone and computer or via new devices not yet invented. No more clicks, no more search, no more surf. Weâll just tell an agent what we want and the agent will interact with the world of sites and software to make that wish a reality.
Sites and software will still need to exist. This is far from the death of them!
But they will be for agents to interact with, no longer for humans.
Something interesting to think about is how the agentic version of site and software will need to evolve to maximize whatever the agent will need to be successful. Just like today everything exists to maximize human needs. Things will need to look a certain way, function a certain way, allow for certain functionality. Weâll of course have agent-native versions and our current versions will be rebuilt or die.
Right now sites, apps and software is already being built for human and agent interactivity. Weâre also seeing versions for pure agent to agent.
When this transition is complete, humans wonât care much about whatâs happening beneath the surface, much like we donât care much about whatâs happening inside of a computer.
It just works and thatâs the way things will just work once this agentic era is upon us.
Whatâs the biggest culture shock when leaving big tech for an early startup?
Itâs a question that comes up often in my conversations with engineers, so I asked Kobi Hudson who spent ten years at Waymo before joining Coval as a founding engineer.
He said it's the freedom to build with whatever tools and models he wanted.
âIt felt like zero to 100.â
Kobiâs move happened at a different point in AI adoption (mid 2025). Today, engineers at both big tech and startups are building with AI. But having access to AI and having the freedom to explore the latest in AI are different things.
Can you try the model that dropped yesterday? Give an agent more access? Rethink your whole workflow because you found something that works better?
Thatâs the freedom I hear founding engineers talk about and something engineers considering the jump want to understand. Fewer constraints on how you build, more room to see whatâs possible.
If youâve made the move, does that match your experience?
Link to the full episode in thread.
Jack Johnson show tonight at Hollywood Bowl had a 5 year old girl holding a sign that itâs her first concert and she wants to sing âHomeâ with Jack.
The crowd saw the sign and got Jacks attention. He agreed and brought her on stage.
She wasnât shy and went up to the mic. And she nailed it! 5 year old little girl.
Sweetest thing Iâve ever seen.
I did manage to get it on video. Hope you enjoy as much as I did.
Patrick built Stripe into one of the most talent dense technology companies in Silicon Valley history. Before the AI era. Worth reading his taken on AI and agents. Itâs a good present day barometer of where todayâs agentic capabilities and one of the top Silicon Valley founders currently align.
Assorted things I've been mulling over regarding agents in the economy:
⢠Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies.
⢠How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be.
⢠In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good!
⢠It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.)
⢠A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to).
⢠Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big.
⢠Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions.
Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.





