22 | Venture Partner Begin Capital | Leading AI for @Marshmello, @Usykaa, @RealChefRush, @MrFreeman0

London, England
your next 1,000 customers might already be sitting in one place you just don’t know where to look i’ve put together a list of the most underrated social networks where you can find thousands of your ICPs - @Alignable 11M members, ~25% of US business owners, 35K local communities - @Spiceworks IT admins and sysadmins discussing vendors, tools, and what they’re replacing - @Cara_HQ (by @zemotion) 650K+ professional artists, open explore feed - @ResearchGate (by @IjadMadisch) 25M+ researchers with publications, institutions, and contact buttons - @wantedly (by @acanocic) 4.5M users and 40K companies in Japan - @AREdotNA (by @broskoski, @dzucconi) high-signal community of artists, designers, and researchers you can find people here but not message them: - @doximity (by @JeffTangney) 3M+ US clinicians, 85%+ of physicians, with public profiles searchable by specialty and city - maimai / 脉脉 (by Lin Fan) China’s version, but you’ll need someone local to access it dead, and this is the best part: - @read_cv (by @_andychung) 100K+ designers and engineers, shut down after Perplexity acquired them - @Polywork (by @multiplay3r) raised $40M+, now offline
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1 month on X and already accepted into Original Content Rewards - 1.7M views - 15K bookmarks still doing VC and building full-time, so looking for a cool intern to help with content young, ambitious, creative, into VC if you know someone great, lmk
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want to know if someone is actually AI-native? ask them to share their screen and show how they used AI on their last few tasks you’ll know in 5 min
Today, we’re launching an ambitious new school called The Horowitz Andreessen Academy. Based in San Francisco, The Academy serves the most promising young high school graduates. We think this can be an elite institution that attracts top tier talent. One that prepares students for the future rather than remaining stuck in the past. The #1 goal is to help students learn to build, which is the most important skill in the AI era. They'll learn primarily by pursuing their own projects, either individually or in groups. There are classes and guest lectures, too, from some truly amazing people who have built modern-day Silicon Valley. The Academy is designed as a network, since that’s the reason students go to school in the first place. Core to that network are our 10 Founding Partners: Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit, and Stripe. The network includes over 50 hiring partners and over 200 speakers and mentors. To join as a hiring partner or faculty member, you can apply on our website. We raised $42M in funding led by @a16z. I'll be CEO and @pmarca and @eriktorenberg will join me on the board. Applications are open for our Founding Class Fellowship, which will be one year and tuition-free. Eventually, pending regulatory approval, we plan to offer a two-year program that charges tuition, similar in cost to an elite private university. We're looking for the most unusually ambitious young builders on the planet. Come join us in San Francisco: theacademysf.com/
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open-sourced the best skill for finding a job! instead of showing you how it works, here’s what it did for a real person: a software engineer with 6 years at Google was looking for his next opportunity he’d rebuilt the Google Shopping checkout, cutting load time from 4.1s to 1.3s and increasing completed checkouts by 6% we gave the skill his background it went through ~40 real companies looking for places where that exact experience could be worth serious money 30 minutes later, it found a collectibles marketplace doing $2B in annualized volume their checkout takes 1.8s to respond to a tap one of their competitors does it in 0.24s even a 1% improvement on $2B is $20M a year so instead of sending: “hey, saw you’re hiring” he can message the CEO with: “your checkout could be leaving ~$20M a year on the table. I’ve fixed this exact problem before” the skill found the company, spotted the problem, estimated what it could be worth, and wrote the message for him and here’s the best part: half the companies it found weren’t even publicly hiring you can run the exact same process on your own background send this to Claude Code, Codex, or any other agent with terminal access: run npx skills add paulklayvc/skills --skill high-leverage-job-hunt and set it up for this agent
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just read some VC’s Fund II investment thesis and didn’t agree with a single point is that normal?
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there are only 4 things you can compete on - skills and expertise. you have unique knowledge that’s hard to replicate, or insights that most people simply don’t have - money. you need a lot of it. basically unlimited capital. enough to make up for what you lack in expertise, resources, time, or anything else - resources. you already have access to something valuable. your network, a customer base from a previous startup, part of an existing business, distribution, or anything else that gives you leverage - effort. consistency and time. there’s a huge difference between someone who’s already successful and is building another startup that won’t really change their life, and someone who’s put everything on the line and will end up on the street if it doesn’t work. that’s an advantage. trust me, most people aren’t even close to using 100% of what they’re capable of
Once you watch Claude or some other LLM do a task that used to take you 3 hours in the span of just 3 minutes, all work starts to lose its purpose Have been hearing the same sentiment from many of my friends in middle management across tech, finance and other office jobs All the years of experience you culminated at your field suddenly seems useless You used to feel valued for your expertise in a niche domain, but that knowledge has now become commoditized You begin to wonder how many more months until upper management and executives realize that they don’t need to pay your salary anymore Maybe they can replace you fully. Maybe they can hire someone for 50% of the cost to do the same task with an AI It is the impending sense of doom and despair. The loss of purpose from your life’s work disappearing losing value in front of your eyes Truly an incredible time to be alive
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don’t be scared to double text people are busy. most of the time, no reply just means they forgot my follow-up playbook: 1. first message 2. friendly ping 48h later 3. final ping a week later this alone can 2-3x your reply rate still nothing after #3? move on
Possibly the best cold DM I’ve come across:
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here’s a list of people who are actively hiring:
if you are looking for a job, here are some really cool people actively hiring but read the article first! - @dylan522p (2 roles in Chicago at SemiAnalysis) - @rtwlz (4 interns at Core Automation to run real businesses with agents, applications close Oct 6) - @RuneKvist (just closed a $40M Series A at AIUC, hiring across pretty much every role in SF) - @CarinaLHong (20+ roles at Axiom, looking for people way smarter than her who will push her thinking) - @bharadwhat (looking for technical generalists under 25 at Social Capital) - @cupertinohoops (Watney closed $80M on Thursday, 25 roles open in SF) - @samuelxzhang (hiring across PM, design, SEO, community, and sales. “reply/dm w ur best work”)
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if you are looking for a job, here are some really cool people actively hiring but read the article first! - @dylan522p (2 roles in Chicago at SemiAnalysis) - @rtwlz (4 interns at Core Automation to run real businesses with agents, applications close Oct 6) - @RuneKvist (just closed a $40M Series A at AIUC, hiring across pretty much every role in SF) - @CarinaLHong (20+ roles at Axiom, looking for people way smarter than her who will push her thinking) - @bharadwhat (looking for technical generalists under 25 at Social Capital) - @cupertinohoops (Watney closed $80M on Thursday, 25 roles open in SF) - @samuelxzhang (hiring across PM, design, SEO, community, and sales. “reply/dm w ur best work”)
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hot take: stop idealizing rich people how much money someone has tells you almost nothing about them i’ve met plenty of rich guys who were stupid, mean, and had no idea how to build a company or just be a decent person i’ve also met insanely smart people who simply don’t care that much about making money. they have different priorities and want different things from life making money is a skill on its own it doesn’t automatically make you smart, interesting, or someone worth looking up to
Replying to @PaulKlayVC
well I was a multimillionaire at 20 only difference between me and you is that I didn't have to tell others my age feel free to go through my tweets before you try calling me a liar because it was all public
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hi! i’m Paul, a VC and founder at 22 ask me anything
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Paul Klay retweeted
running an early stage accelerator we get to see this first hand many if not most startups fail due to cofounder splits but co-founder relationships are also heavily strained by lack of success so the true cause of failure is hard to pinpoint
one of the biggest risks for investors is not even the company running out of money it is the cofounders falling apart that is why your history together matters so much. how long you have known each other, what you have already been through, and whether you have built anything together before make sure you mention this when pitching VCs
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one of the biggest risks for investors is not even the company running out of money it is the cofounders falling apart that is why your history together matters so much. how long you have known each other, what you have already been through, and whether you have built anything together before make sure you mention this when pitching VCs
One of the most important pushes a strong Board can make is helping you evaluate your team and organization. Boards can help you see people clearly because they aren't blinded by daily interaction, the need to be loved, respected, or feared, or by history or baggage. They can remind you how excited you were to hire XYZ person, and how that person didn't live up to expectations. They also remember the times you stuck your neck out for someone, and how right you were. As a management team member, you likely have loyalty and confirmation bias toward people you have grown up with over the years. One of the most important things each and every year is to evaluate whether someone will be up for the challenge of the coming year. Our bias is yes, but we should look for disconfirming information rather than confirming evidence. Your Board should help you assess this with your executive team, but it's also on you to do a similar exercise with your team down the ranks.
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in the venture market, growth matters more than profitability at almost every stage being profitable is great, but if that profit comes from a business that can’t scale, it doesn’t make it a great venture investment VCs are looking for companies that can turn additional capital into much more growth and eventually justify much larger outcomes so if you’ve found something that works, optimizing for profit too early can actually slow you down reinvest aggressively into growth, figure out what scales, and prove you can keep deploying more capital efficiently profits matter, but venture is a game of scale growth > profits
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AI can probably understand patterns in your life and business better than you do we make thousands of decisions and forget most of them. after a few years, it becomes almost impossible to objectively connect everything that happened and understand which patterns keep repeating that’s where AI is insanely good give it enough context and it can go through years of decisions, conversations, mistakes, wins, people you worked with, things that worked and things that didn’t, and find connections you probably never noticed yourself so try this: share your entire journey with AI. your company, decisions you made, things that worked, things that failed, people you hired, mistakes, wins, everything you can literally just talk to it and tell the whole story then ask it to find patterns, contradictions, strengths, weaknesses, and things you’re probably underestimating you’ll probably read some of the answers and think: “sure, i already know that, but…” good tell AI exactly why you disagree and ask it to challenge your explanation then respond again keep going until one of you runs out of arguments that’s where it gets really interesting tried this myself a couple of times and was genuinely surprised by the results. i don’t think any human could process that much context and keep challenging every assumption at the same level
I can use any harness I want and it's the same personality and full memory of my personal AGI
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there are two completely opposite signals i like in founders: - you’ve already had a successful exit and made your investors money. chances are, you can do it again - you’ve failed a few times but somehow keep raising. first, make sure you didn’t fake the metrics or lie to investors. if everything checks out, i actually like it. you’ve already burned a lot of money (not mine), made a ton of mistakes, and hopefully learned from all of them. at some point, it becomes a numbers game. every failure should make your odds of getting the next one right a little better
how to fundraise in 1356 words tl;dr don’t run out of money. and have relationships. and build a giant vision. and...ok there's kinda a lot. we'll get to all of it, but here's the shortest version I could write
Article

How to Raise Venture Capital Chapter 1: The Speed Run

Chapter 1. The Speed Run This chapter is the entire guide at tactical speed: the basic timeline of a raise, stripped of theory, with pointers into the chapters where each move is explained in depth.

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help AI destroy more jobs sounds terrible. and obviously destroying jobs shouldn’t be the goal but if AI can make a job dramatically easier, someone will eventually build it. the interesting question is where that creates real economic value look at boring old industries there are businesses where operating or maintaining old equipment still requires highly specialized people because the interfaces are terrible, documentation is fragmented, and decades of knowledge live inside a few employees’ heads you might need 5 experienced engineers to do something that, with the right AI interface, could eventually be handled by 2 engineers and people with much less specialized training the company saves money the experienced engineers spend less time on repetitive work new employees become productive faster and the barrier to doing the job gets lower yes, some roles will disappear. others will become less valuable. but you’ll also make scarce expertise available to far more people and potentially make entire industries more productive that’s the opportunity i’d look for go into boring old industries and find something where everyone accepts insane complexity simply because “that’s how it’s always been done” then ask: why does this require so much expertise? what knowledge is actually scarce? what could AI abstract away? figure that out and you might have a very interesting business you may also help AI destroy a few jobs along the way cheers
Mercor now spends 3X as much on LLM inference as we spend on employee salaries. Our inference spend creates so much ROI that it’s additive to headcount, not replacing it. It’s becoming increasingly clear how we get to ~10% GDP growth: 1. Within 5 years, as AI diffuses throughout the economy, companies will spend as much on inference as they spend compensating knowledge workers today. 2. Knowledge-worker compensation is roughly $40T/year, so this would eventually mean ~$40T/year of inference spend. 3. If wages remain roughly constant and companies profitably absorb that much inference the way AI-native companies are today, the economy needs on the order of $40T/year of additional final economic output to support it. 4. Producing ~$40T more annual GDP in year 5 than a ~3% growth baseline implies ~9% annual GDP growth on average over the next five years. Based on the ROI we’re already seeing from inference at Mercor, this feels reasonable. AI-native companies are a leading indicator for the global economy.
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