co-founder https://xitter.cf/t.co/vUtp1JC9cr

San Francisco, CA
Joined April 2023
Cameron Witkowski retweeted
You have to move through life knowing you are somebody extraordinary, while also remembering that you are a nobody who knows nothing. The highest levels of consciousness can hold both truths simultaneously.
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I didn’t think this was real. But it’s real
SITUATION DETECTED: Warhound launched from stealth today with a $200M seed at a $1.2B valuation. Ben Lamm and Palmer Luckey are cloning gene-edited bio-enhanced dogs and equipping them with custom Anduril vests, goggles, and sensors for the military and law enforcement.
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There's really only one way to control what AI says about you: get your tokens into its context when it's generating answers. Two ways to do that: 1. owned content—blogs, substack, and other content you can immediately control. 2. third party content—earned media, press, roundup websites, socials, review sites, etc. This involves pitching to editors, users, and other site owners for acceptance in some way. One pitfall is blocking crawlers from scraping your content, thus preventing it from entering the LLM indexes. Cloudflare has blocked some of them by default on new domains since 2025, and plenty of sites added a blanket robots.txt block. If you don't know whether you're doing this, you might be!
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Replying to @witkowski_cam
openlens be like
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“Software is dead because of AI” Uhh. But.. I just— isn’t AI software?
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Six months ago nobody had heard of OpenLens, and AI assistants never mentioned us. Today we show up in 5-7% of commercial queries in our category. This week we passed a 3y/o competitor that was acquired in June for a reported $225M. AI is now our largest source of new signups (self-reported at signup). Most people assume ChatGPT and Claude only recommend established brands. That’s just not true, and most categories are still far behind. A simple way to start: make a free account on openlens.com, run the prompts your customers ask, see which sources and articles AI pulls its answers from, and copy the patterns that get cited. Comment your company URL and I’ll DM you a personalized one-pager with steps you can take today. I’ll be sharing more tips and tricks on here, so click follow to stay in the loop!
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I’ll go ahead and say it… Profound is not the best GEO tool. It is “all marketing”
I’ll go ahead and say it… this idea that “the agent will just pick the best product” is extremely stupid and shows a major misunderstanding of how marketing works (which makes sense as it is predominantly engineers in the chat right now). There is no such thing as a “best product”… it is ALL marketing. And even if there were such thing as a “best” running sneaker for Brendan - why is it best? Why don’t we just buy the same sneakers? Everything is marketing. In an age of abundance, all that will matter is marketing. Marketing to agents will be the most important skill every business will need to learn. Code is code. My definition of “good code” is the same as yours. Marketing is different for every single business. The marketing Ramp defines as “great”, would not work for JPMC etc. Every business will need their own definition of what great marketing looks like (a sovereign benchmark) - this will be very important. Lock in, anon
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Even if you’re talking to a human I bet Claude is helping them find alternatives and negotiate
Will AI agents disintermediate every market, so that consumer agents will find suppliers and negotiate sales directly?
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Pretty much
.com and showing up #1 in ai prompts
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I'm optimistic too, but this doesn't just happen. It gets made to happen ask yourself: how do people actually use AI today—not in SF, but broadly? what information do these systems actually consume and view as authoritative? and where are the incentives pointing for marketers, consumers, and labs?
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.
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Cameron Witkowski retweeted
thinking about how the returns to speed are not linear at all. specifically that it's not rlly about getting something done in less time but unlocking completely different outcomes - fast texters get better, less filtered information - faster part delivery begets more creative prototypes - faster timelines force prioritization
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Magic words 🧙
It is literally crazy that every VC is part of the Twitter timeline and one viral tweet can kick off a multi million fundraise Just think about that for a second A couple of words on a lil app moves millions of dollars
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Agents write application code, but you still get paged at 2am when it breaks. We wanted to know whether AI could handle that part of the job too. Introducing Incident Arena: a benchmark that puts coding agents on call! Check out our paper & full dataset release below!
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Picture advanced aliens watching Earth right now and taking stock. Our inventions showed us our negligence, our zero days, our nakedness. Now we're afraid, hiding from what we've done. But we don't hold stolen fire. We ate the fruit of knowledge, and now we can fashion clothes. We're weaker than we thought if we faced any real adversary.
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Cameron Witkowski retweeted
Replying to @witkowski_cam
I don’t even know how to respond to this I’m floored Just remember who’s the real bartender here
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Cameron Witkowski retweeted
Replying to @witkowski_cam
Sounds weird
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Caramel Blanc 3oz Pinot Grigio 2oz soda water 0.5oz lime juice 0.5oz caramel syrup 1 tsp sugar 1 pinch salt
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Cameron Witkowski retweeted
back home on the east coast after three and a half months working in sf. the thing that kills ambition here isn’t hardship. it’s boredom. no one expects you to do much beyond your immediate responsibilities, and those aren’t much to begin with. when nobody around you is pushing themselves, three hours of work feels like a full day. it feels like enough. it feels like you’re doing well. sf made something obvious: progress is easier when stagnation has a cost. sometimes the only thing that changes a person is being placed in a situation where they have to prove they can survive, grow, and keep going. outside of places like sf, expectations are treated like offenses. how dare you expect me to do more than i need to do to survive? but survival is a low bar. everyone needs expectations.
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Is chili a soup or a salad? (Settling a debate)
89%Soup
0%Salad
0%Technically it’s a dip
11%Can’t be categorized
9 votes • Final results
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Cameron Witkowski retweeted
We spent a day visiting @agentmail customers in San Francisco. Here's how it went:
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