Ender's Game for Autonomous Systems. @exialabsai. Visiting Fellow @HooverInst. Ex-Meta, Amazon, Riot Games. U.S. Army veteran đŸ‡ș🇾

Bellevue, WA
Joined October 2011
Jonathan Pan retweeted
optimism wins
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Andrej Karpathy
@karpathyOct 2
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
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Jonathan Pan retweeted
We've unlocked a product milestone in Blue: the ability to integrate drones directly into missions (simulation then orchestration). ✅ Exposed an interface that allows Army/DoW platforms to ingest our data, query our feeds, and task our assets programmatically. ✅ Identify NAIs based on environmental and operational data. ✅ Simulate drone COA before execution. ✅ Confirmed tasking of our asset to recon an NAI in California from a user in Europe.
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Jonathan Pan retweeted
We're excited to continue our partnership with @LockheedMartin and work with old friends like 4C Strategies to deliver next-generation modeling and simulation technologies for @NATO.
Replying to @LockheedMartin
@LockheedMartin has advanced to the second sprint of the @NATO Next Generation Modelling and Simulation competition alongside industry partners @4C_Strategies, @ExiaLabsAI and RB Advisory. The ACES software suite is the foundation of the solution.
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Jonathan Pan retweeted
Introducing Argus, our unmanned ground vehicle designed to execute a wide range of critical missions – from logistics resupply and casualty evacuation to terrain mapping. Learn more: blog.exialabs.com/p/introduc

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Jonathan Pan retweeted
AMERICAN HERO: CW5 Eric Slover receives the Medal of Honor from @POTUS during tonight’s State of the Union Address.
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Jonathan Pan retweeted
Introducing Keystone: AI-enabled Blue Force Assurance Effective decision making across defense missions depends on fast, reliable access to integrated data from diverse systems and sources. Today, tracking and managing friendly and allied assets relies on manual processes and disparate systems, leading to potential delays, inaccuracies, and reduced system interoperability. Keystone is an AI-enabled Blue Force Assurance product that ingests reports about friendly units from across echelons and allies, resolves inconsistencies and duplicates, and generates distinct unit entities with assigned confidence levels. Keystone updates these entities in real time, creating a single, trusted object-based data layer for mission command systems.
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DHS and ICE are torching public trust with awful comms - telling people not to believe what they’re seeing on video. Americans don’t take well to being told to reject the evidence of their eyes and ears - Sec Noem, who abolished needing a permit for concealed carry in South Dakota, claiming that carrying a gun is equivalent to a violent assault. That argument could perhaps be made, but not by her - refusing to stray from talking points even when new information emerges, giving the sense that truth is subordinated to political messaging - all this after a string of tasteless and unserious tweets from official gov accounts that seem like TRT-fueled recruitment calls for gleeful curbstompers, including a now-deleted tweet last year about how it’s ICE’s job to stop illegal “ideas” from crossing the border Obviously the problems go deeper than one department’s PR, but it’s crazy that their communication is bad enough to alienate even the Fox News crowd, including people who support mass deportations I’m a longtime supporter of border security and upholding immigration law, which is only fair to citizens and law-abiding immigrants who followed the rules in pursuit of the American dream Defending America’s sovereignty and security is an important, honorable mission Incompetent comms undermine it
Bill Melugin
@BillMelugin_Jan 25
NEW: Since yesterday's deadly shooting in MN, I've talked to more than half a dozen federal sources involved immigration enforcement, including several in senior positions, who all tell me they have grown increasingly uneasy & frustrated w/ some of the claims & narratives DHS pushed in the aftermath of the shooting. Specifically, I'm told there is extreme frustration with DHS officials going on TV and putting out statements claiming that Alex Pretti was intending to conduct a "massacre" of federal agents or wanted to carry out "maximum damage", even after numerous videos appeared to show those claims were inaccurate. While they say it was a terrible decision to show up with a gun and inject himself into a federal law enforcement operation, there is no indication Pretti was there to murder law enforcement, as videos appear to show he never drew his holstered firearm. These sources say this messaging from DHS officials has been catastrophic from a PR and morale perspective, as it is eroding trust and credibility - comparing it to when Democrats falsely claimed the border was closed or that Haitians were being whipped at the border. Some of these sources have described DHS’ response to the shooting as “a case study on how not to do crisis PR”, one said they are so “fed up” that they wish they could retire, another said “DHS is making the situation worse”, and another added that “DHS is wrong” and “we are losing this war, we are losing the base and the narrative." These sources all believe this is going to end up being what they call a “bad shoot”, a “shitty” situation that happened in seconds where agents likely heard “gun!”, then the disarmed firearm may have had an accidental discharge that spooked the agents, and they shot. The agents do not have the luxury of multiple slow motion angles - and had to make split second decisions. All of the sources support the mass deportation agenda, but have serious hesitations about the way it is being carried out and the messaging that comes with it. Many of the sources have expressed frustration that ICE is routinely blamed for the actions of Border Patrol, a completely separate agency. I reached out to DHS for comment on concerns that their rhetoric and comments have damaged their credibility. DHS provided the following statement to @FoxNews: “We have seen a highly coordinated campaign of violence against our law enforcement. This individual committed a federal crime while armed as he obstructed an active law enforcement operation. As with any situation that is evolving, we work to give swift, accurate information to the American people as more information becomes available."
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Jonathan Pan retweeted
Exia Labs was selected as one of four companies to integrate with an unclass NATO MSS environment and demo our products at NATO HQ last week.
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The Government’s Back — and So Are We! New Legislative Segment demo live, exclusive in-person playtest announced, and Early Access window revealed: blog.mrpresidentgame.com/p/t

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Jonathan Pan retweeted
When I moved to the Bay Area in 2007, everyone wanted to go viral. Growth was the dream. Marketing was decoration. People believed great products sold themselves. That idea wasn’t new. HP’s founders said the same in the 1950s. They thought marketing was what you did when your product wasn’t good enough. Edwin Land repeated it decades later. The names change, but the belief survives: that engineering and truth alone will win. Eighteen years later, the tools are different, but the blindness is the same. Algorithms can locate attention, but only humans can earn it. Almost half of all startups fail because they build something no one needs or understands. “No market need” is still the number one cause of failure. “Poor marketing” is not far behind. Most products don’t die from bad code. Great code can’t save a story no one understands. When growth stalls, founders chase new channels. When users don’t convert, they redesign the landing page. The pattern hasn’t changed in twenty years. I’ve seen the same scene play out a hundred times. A founder with a good product, confused by silence. They talk faster, add more features, post more updates. What they never do is stop to ask whether anyone understood them in the first place. You can’t fix direction with efficiency. Engineers describe what the product does. Customers only care what it means. Marketing is the translation between the two. That translation rarely happens because of how tech thinks. Engineers are trained to explain with precision, not empathy. They call that being logical. Rob Enderle once said that marketing runs on psychology, not thermodynamics. That still irritates engineers and still explains why so many product pages read like instruction manuals. Real marketing begins before the first feature is built. It starts with knowing who it’s for, what problem it solves, and why the story will matter in a crowded world. In 2007, marketing was the paint job. Today, it’s the growth hack. Both miss the point. Marketing tells you what to build in the first place. The pattern repeats in every generation. Dropbox, Slack, and Atlassian all started believing their products would sell themselves. They grew fast, plateaued, then hired CMOs and built brands. Tech keeps relearning the same lesson. The market won’t understand you until you learn to speak its language. The irony is that marketing knowledge has never been easier to find. Claude Hopkins tested headlines a century ago. David Ogilvy proved clarity beats cleverness. Philip Kotler turned empathy into a management discipline. Every principle we now call “growth” was documented long before the internet. The only thing that changes is the vocabulary. We upgraded the tools and downgraded the patience. Startups treat metrics as meaning. They chase click-through rates and call it progress. Goodhart’s Law describes it perfectly. When a measure becomes the target, it stops meaning anything. Dashboards light up while trust quietly erodes. The companies that get it right don’t separate product and marketing. Ecommerce teams test ideas the way engineers test code. They iterate until the message works. Most of tech still treats marketing as theater. One big launch, one bold ad, then silence. Marketing doesn’t end in applause. It ends in understanding. It’s how a company learns whether its message is landing or getting lost. The best teams listen at scale. The rest shout louder into the void. Consider Quibi. Two billion dollars spent and most people thought it was a food delivery app. Or Google Wave, where users couldn’t tell if it was chat or email. Innovation dies when no one can explain it. Slack entered later with a single sentence, “A messaging app for teams that kills email,” and built a billion-dollar category on clarity alone. Insight fades. Habits compound. Listen. Translate. Test. Every hour spent clarifying saves weeks of rework. Clarity saves more time than speed ever will. Marketing is how a company learns to speak truthfully about what it builds. It lives beyond taglines and tactics. It’s the bridge between what a team believes and what a customer understands. Apple sells creativity. Airbnb sells belonging. Canva sells confidence. Each of them built a product that worked and a language people could feel. Before great marketers write, they try to feel what the user feels. They ask what pain is real, what outcome feels valuable, and what words will make someone care. They move ideas from internal logic to human language. Every lasting product story follows the same path. It begins with pain, not potential. It builds trust before persuasion. It teaches before it sells. When done well, it makes the product feel inevitable. Positioning is empathy turned into direction. Messaging is clarity earned through focus. Distribution is trust built over time. These ideas existed long before algorithms. Tools help you move faster. People help you get it right. Trust is the only channel that compounds. Communities carry the message farther than campaigns. They remember how you made them feel long after they forget what you built. When you know your customer deeply, everything compounds. Feedback loops tighten. Decisions get faster. Honesty scales further than any ad spend. HubSpot proved it by teaching before selling. Airbnb’s “Belong Anywhere” added billions in valuation beyond its peers. Apple spends billions on marketing and earns it back in margin. Nike turned the three words “Just Do It” into a cultural reflex and tenfold revenue growth. The companies that endure build meaning into motion. Most founders never get there. They hire agencies, copy competitors, and test their way into noise. They want growth without grounding. Until a company understands its customer better than anyone else, marketing stays a set of experiments instead of a system of meaning. Understanding is the work. Everything else is amplification. Speed only matters when it moves in the right direction. The fastest way to waste time is to build something people don’t understand. The companies that last slow down long enough to listen. They treat marketing like product. They test language before features. They study how customers describe their problems and build from there. Tech still spends half as much on marketing as consumer goods firms. Ten cents of every dollar versus thirty. Yet startups that hire marketers early reach a million in revenue thirty percent faster. The math supports the craft. There’s nothing flashy about doing it right. It’s questions, rewrites, and uncomfortable truths. But it’s what separates teams that create momentum from those that only chase it. Peter Drucker said it simply. Business has two functions, innovation and marketing. Everything else is cost. If you want to learn faster, learn to explain better. Marketing is how you earn that clarity. It’s how the world learns to believe you.
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Jonathan Pan retweeted
THE ANTI-PITCH: One-liner rebuttals that kill startup ideas The optimist has the Pitch, and the skeptic has the Anti-Pitch. The Pitch — and sometimes we call it the elevator pitch — is sacred inside the tech industry. We pithily describe a new idea, how it works, and why it’ll work. It should only take 30 seconds. Our technology industry is built on the elevator pitch, because it’s the beginning of trying something new. The skeptic (boo!) has something else: The Anti-Pitch. It’s the quick one-liner that’s meant to shut you down. It latches onto one thing that you say in the pitch, quickly puts you down. And if you’re not careful, it works. (and btw, this post is about pitches, because i'm seeing a lot of them right now. Why? well, a16z speedrun is kicking off its 2026 program, where we invest up to $1M in new startups. Last week, we started to accept applications from new startups. apply here: speedrun006.a16z.com/x) Here’s how it appears in a conversation: - New productivity idea? “Ugh these things always take 4 years to build, it’ll take so much funding. You don’t have the enterprise skills to sell this to big customers” - New AI idea: “Isn’t this space too busy? I think I just saw this exact idea last week. Isn’t this just a GPT wrapper and Open AI will add this in a few months?” - New non-AI idea: “Have you thought about adding AI?” - New social app? “The network effects for Instagram/YT/whatever are too strong. Invite channels are dead. If you get traction they’ll just add a tab in their app to copy you. It’s so hard to monetize with ads these days
” - New dating app idea? “Dating apps are so hard. Churn constantly happens as people pair off. Best case, Match Group buys you for a small amount
” - New consumer hardware idea? “The holiday cycle is awful. You’ll either build too much inventory and bankrupt the company, or you won’t sell enough and you’ll miss your shot. If you win, China will rip you off
” - New Cursor for X competitor? “We’ve just seen 10 of these in the past few months. It’s such a busy space, it’ll be really hard to break out. We’ve already seen one in XYZ category fail, it’s not as easy as it looks” - New VR idea: “Apple Vision isn’t doing well. Do people want to wear goggles on their face? I’ve seen the stat that millions of people have bought VR, but do they use them?” - New online edtech idea: “There’s too much free content already, isn’t YouTube your biggest competitor? Isn’t AI going to disrupt education completely?” - New subscription idea: “Another subscription? Doesn’t everyone just cancel anyway? Won’t this just be part of Prime/whatever” Or, a few funny pairs: - Really brand new idea: “Seems like a lot of market risk? Have you done customer validation?” - Existing idea with a new innovation: “Really, yet another XYZ app?” I could go on and on :) And you could too, you’ve certainly heard these. It’s truly the skeptic’s favorite tool. We can also admit that occasionally, we are the ones to think (though hopefully not say) these things. THE ANTI PITCH IS LAZY Of course, the anti-pitch is the lazy way to think. After all, new things are very hard and are often bound to fail, and if you work in the tech world, you know that perhaps 10,000s of startups are funded each year and maybe 1-2% end up being anything. So 99% of the time, the skeptic would be right. And yet we wouldn’t have new things if we all thought this way. Thank god the world has amazing new startup founders that still persist even when confronted with the difficulties. Plus, you often read about people being skeptical of the internet or Uber or whatever, trashing it with an anti-pitch, and years later it sounds real dumb. So what's an optimistic founder to do? THE CHOICES When confronted with the Anti-Pitch, an optimist has a few choices: - Ignore (eh, who cares what they think?) - Accept, but then address the criticism - Deny deny deny These are all fine reactions in many cases, but they serve different purposes: - Ignore. Now, if the criticism is coming from your ideal customer, a candidate you're trying to recruit, or an investor, that's one thing. But often, the skepticism comes from someone whose opinion just doesn't matter. For example, it could just be some rando you met at a dinner party who's closed-minded and working in a dinosaur industry. You don't need to convince them, and there's very little upside or downside in going either way. Just ignore them. Maybe worse yet, there are some people in the world whose job *is* to criticize. Some of these people are called mainstream journalists. In the past decade, a whole industry has formed around trashing new technology products. And whether they're right or wrong, they're able to get clicks and traffic and create advertising revenue. So you should definitely ignore those people. Sometimes the anti-pitch comes from someone whose opinion actually matters, like your ideal customers. If they don't get it, that's a really good question. On one hand, they simply might not know what they want. The often-quoted Henry Ford quip about faster horses makes exactly that point. This is especially true for new ideas with a creative or aesthetic component. It's tough to argue that you’re building, say, an email app that is just super well-designed and that you’ll win based on better design. It's hard to imagine the emotions and feelings a product will evoke. It's like describing the plot of a movie—you don't really know if it's good or bad until you actually watch it. Criticism really stings when it comes from an ideal customer who gets what you're trying to do but just doesn't like it. In that case, they might just be a later adopter than you thought. Or maybe they care a lot about the problem you're solving, which is good, but they don't like *how* you're solving it. There might be a grain of truth in there, so listen. - Accept, then address the criticism. One of the really hard things about the Anti-Pitch is that it's often meme-like in its simplicity. It just ties onto one thing that you've said and tries to deposition every aspect of your idea. You might then decide to accept that. You might say, "Yes, this *is* the 10th investor-backed AI app for dog trainers, but..." But then you better have something interesting or clever to say after that. This strategy works best when you're bringing something genuinely new to the table. Timing and innovation become critical. That's why, in this era of AI, it's easier to get a "yes." You can say, "We might be the tenth product in this category, but we're the first AI-native version. Here are three things we can do that no one else can." The problem, of course, is that you need to have an innovation or an insight. If someone's criticizing your consumer hardware, and then you go off on some new tangent about why your new gadget is so innovative, but you don't ultimately address the underlying concerns about the holiday sales cycle, it just sounds like you don't know what you're talking about. The real danger is accepting the anti-pitch framing of your new product. By accepting their framing, you're already putting yourself in a hole, and you have to dig yourself out. Unfortunately, that is very hard. - Deny. Sometimes you end up in arguments where, if you describe an amazing new AI-powered product for finding restaurants, the "anti-pitch" becomes, "Well, here's why Yelp's business is so hard." You might want to deny that association by saying, "We're nothing like Yelp." The problem is that by saying you're *not* like something, you still connect yourself to that concept. It's the kind of conundrum a politician might face. An interviewer might ask a politician, "Do you think it's a criminal act to do XYZ?" If the politician angrily replies, "I am not a criminal!" then everyone in the audience is just going to think, "Hey, that guy's a criminal." Pepsi also used this very cleverly to position themselves as the "un-Coke." Of course, by saying they aren't Coca-Cola, they're implicitly saying they *are* like Coca-Cola, just different. They're in the same category. In fact, it might be more clever to reply by saying “Yelp isn't the right comparison. The right comparison is how we're very different than [Booking or ChatGPT, or some other more successful thing you want to be compared to].” Again, contrast creates similarity. Thus, I think “deny” is an option but the right move is to judo into a whole different direction. THE BEST ANTI-ANTI PITCH IS A GOOD PITCH What a founder quickly finds is that if their new pitch invites the same criticisms, you can use a little game theory and work backwards. Maybe come up with a better way to describe what you're doing that leads to a different and more positive outcome. For example, a new startup might begin by calling themselves a gambling app, inviting a bunch of criticism about regulatory risk. It might then make sense to iterate to a new version of the pitch that starts with the idea that this is a new predictive markets product. That at least gets you going in a different direction. You might get a different kind of criticism, but it may be that you have better answers. In this way, you're navigating a maze of potential pitches, and as you hit dead ends, you find new, different ways to pitch your idea. I'm going to call this the "Pitch Maze" and copyright it lol. To go further, almost every new product idea can be pitched in five or ten different ways. You might have one pitch that's really focused on the team and the people. Another might be focused on a customer need. If you have a dozen different features in your product, you might have different pitches that emphasize each of those. The point is that your ability to pick a pitch out of all the different permutations gives you a lot of leeway to go in whatever direction you want. Each direction might lead to a different universe of responses, criticisms, and doubts, but you can pick the right path that gives you the most advantageous options for responses. LEARNING BY PITCHING I don’t want to lose the cold, hard fact that there’s a shred or reality in the anti-pitch. For example, it's true that a VR idea might be hard right now because the VR platforms aren't doing well. If you completely ignore that type of consensus statement and try to work around it, you might win the rhetorical battle but lose some real data. This is especially true if that data point comes from someone in the industry or a customer who knows what they're talking about. So I encourage you to listen to the Anti-Pitch. Not just pitch pitch pitch. A long time ago, someone taught me the phrase “show up and throw up” as a typical way that a junior sales person might act on a customer call. They show up, talk endlessly without listening, then leave, without understanding what the customer needs. Sometimes there’s truth in the Anti-Pitch, and founders need to hear it. I say this, yet I root for the optimists. The world certainly needs more of them. So for the skeptics, you guys listen more too :)
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[New] from a16z @speedrun: The Outsider founders are winning the AI B2B race we used to say founder x market fit was everything but in this AI wave, Outsider founders who are AI native are outmaneuvering their industry veteran competitors just look at @TennrOfficial (healthcare), @hebbia (finance), @happyrobot (logistics), @evelegalai (legal) & @DecagonAI (customer support)..... these are all Outsider founders w/ no prior experience in the verticals they now sell into so why is this? #1 - right now, AI technical excellency trumps industry expertise --> These founders combine AI fluency w/ exceptional problem solving skills to quickly map the inner workings of a vertical from an Outsiders perspective and how AI can automate that work --> many will bring on a "board of Insider advisors" early to help validate their approaches and leverage their rolodex #2 - new verticals w/out a scaled SaaS player are now in play --> Agentic AI products don’t just help workers become more efficient, they can take action and complete work autonomously --> Therefore companies can spend way more for these products as they don't just tap into IT budgets, they actually displace labor spend --> That means that offline verticals w/ historically small IT budgets and no vertical SaaS winners are now ripe for a venture scaled vertical AI disruptor = from food distribution to car dealerships to home services to agriculture, it will be Outsiders who will come in and automate the backoffice functions for these verticals #3 - the barriers for Outsiders to sell into the enterprise have dropped dramatically --> most companies have a tops-down mandate and dedicated budget to explore AI initiatives. They’re actively pulling new solutions into their organizations and open to experimenting with pilot partners --> for some products, where PLG and bottoms-up adoption makes sense, Outsiders can let their product and marketing strategies be their ticket into their buyer so, today, founder - market fit should be based on required skillsets to win in a space, not simply on tenure & domain expertise in a vertical here at @speedrun we’ve invested in teams of exceptional Outsiders such as @ArtifactOffcial (accounting), Anchr (food distribution), Bead (SOX compliance) + many more if you’re a team of Outsiders primed to disrupt a boring business, head to sr [dot] a16z [dot] com to apply for speedrun
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A16Z SPEEDRUN 2026 UPDATE: I think most people secretly know if they’re founders or not. Some of you can never be happy working inside a giant company, writing docs, in endless meetings. Deep down, you know you’re supposed to build. we're opening up a16z speedrun today! We are accepting applications for our 006 class, where we'll invest up to $1M. It's based in SF, kicking off Jan 2026 but you need to apply now in september. here's how to apply: speedrun006.a16z.com/x And yes, we are investing up to $100M in the next 30 days -- it's all happening in september. Quit whatever it is that you're doing, and in 2026 come to SF and work with us out of Andreessen Horowitz's office in SOMA, alongside over a hundred other founders, building the startup you've always wanted to build. We will help you -- both myself and the a16z speedrun team. the details: - up to $1M of investment - hosted at a16z HQ in San Francisco - 12 week program, with an IRL kickoff, luminary speakers, community events - live events with the founders of Carta, Zynga, DoorDash, Behance, Airtable, Twilio, Figma, and more - private dinners/Q&A with Marc and Ben of a16z - apply now, and the deadline will be Sep 28 2025 for SR6 At a16z speedrun, you get access to programs from our operating team and work with experts in marketing, BD, talent, people and capital—more below MARKETING Our team of expert marketers is here to help you win. Whether refining your brand, launching, or building a thriving community, our marketing operators have powered dozens of startups with: - Brand Development -End-To-End Marketing Strategy -PR & Media Coverage -Go-To-Market Execution -Creators & Content TALENT Find and attract the talent you need to build and scale your company. Our curated network connects you with world-class technical talent, executives, advisors, and specialists who can help accelerate your success. Here’s how the program works: - You tell us what you’re looking for. - We use a16z speedrun's brand and referral networks to magnetize talent. - We take hundreds of calls each week to curate a list that we only send to speedrun founders. - You request introductions and we put you in touch. PEOPLE We help you quickly stand up the tools and practices needed to hire, manage, and lead highly performant teams. Our goal is to help you anticipate challenges and navigate some of the most foundational decisions you'll make as you build a world-class company. While a16z speedrun takes place in the US, we welcome founders and companies from around the world. Our Global Founders Program provides specialized guidance for navigating visas and relocation, plus dedicated access to our expert immigration attorney network, so you can focus your energy on building your company. BUSINESS DEVELOPMENT We unlock unparalleled access to networks, expertise, and tools that help startups scale faster. - $5M+ in free credits in our speedrun Marketplace from AWS, GCP, OpenAI, Anthropic, Microsoft, NVIDIA, Stripe, Deel, and many more. - Dedicated advisors & experts to guide you through every partnership, sales, and GTM motion, including crafting your business model and pricing. - Level up your sales with real live demo experience across various events to executives and operators in your target market. - Access to a16z’s network of executives & decision-makers at 2,000+ companies. CAPITAL One of the most important things a founder can do is raise money. Our fundraising program sets the stage for your raise through an in-person Demo Day and an online platform reaching 1,000+ top early-stage investors. We help you prepare with practice sessions, stress tests, and materials review. When you’re in high-stakes negotiations, we coach you, share insider knowledge, and leverage alumni intel on the investor across the table. More details: The a16z speedrun program is a fast‐paced, 12-week startup program that guides founders through every critical stage of their growth. It kicks off with an orientation to introduce the cohort, then dives into rapid product development—helping founders think through MVP while addressing key topics like customer acquisition and design partnerships. Throughout the program, startups benefit from expert-led sessions and interactive office hours that cover: - Brand Building & Go-to-Market Strategy: Crafting your story, marketing, and driving product-led growth. - Customer Acquisition & Launch: Securing early users and executing effective launch plans. - Fundraising & Strategic Partnerships: Pitching, navigating investment, and building lasting relationships. - Team Building & Operational Scaling: Developing high-performing teams and refining internal processes for sustained growth. - Community & Enterprise Sales: Building communities, forming strategic partnerships, and landing your first enterprise customers. - Product-Market Fit & Demo Day Prep: Assessing market traction which culminates in a Demo Day to showcase progress. The a16z speedrun program is IRL and runs for 12 intensive weeks in which our team of expert investors and operators guide your startup from idea to market launch. The program moves through sequential modules—each dedicated to key aspects such as rapid product development, go-to-market strategy, fundraising, team building, and operational scaling. Expect regular check-ins, one-on-one office hours, and interactive sessions, culminating in a Demo Day where you present your progress to potential investors.
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Recorded in ICT’s MxR Lab, Dr. Keith Brawner spoke with @ExiaLabsAI CEO Jonathan Pan (@notvert) for "Decision Advantage"—spotlighting ICT’s #AI research and its impact on the future of military readiness. ict.usc.edu/news/dr-keith-br
 @DEVCOM_SC @USArmy #USCResearch
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Replying to @LauraLoomer
@LauraLoomer Oh boy
 Thirteen years ago today is my Alive Day, the day I nearly lost my life, and four of my brothers, including three Army leaders, never came home. I’ve served under presidents from both parties and will always honor my oath to this country. Yes, I spoke for 60 seconds at the DNC when asked about service and sacrifice, not politics. For me, 8/8 isn’t about parties. It’s about the lives we lost.
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Jonathan Pan retweeted
Awesome to see what @ExiaLabsAI built during their time in the Palantir Startup Fellowship đŸ’Ș
Introducing Recon Today, we’re launching a Closed Beta of Recon: a cloud-based Intelligence Preparation of the Operational Environment (IPOE) AI agent that creates decision support products like the Modified Combined Obstacle Overlay (MCOO), identifies tactical areas like Position Areas for Artillery (PAA), and generates maneuver and logistics routes based on specific formations (e.g. Stryker Battalion, Mobile Infantry Company, Armor Brigade). Recon is available to all soldiers within the XVIII Airborne Corps and Washington Army National Guard for testing and feedback. Get your free account here: recon.exialabs.com/
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Jonathan Pan retweeted
Introducing Recon Today, we’re launching a Closed Beta of Recon: a cloud-based Intelligence Preparation of the Operational Environment (IPOE) AI agent that creates decision support products like the Modified Combined Obstacle Overlay (MCOO), identifies tactical areas like Position Areas for Artillery (PAA), and generates maneuver and logistics routes based on specific formations (e.g. Stryker Battalion, Mobile Infantry Company, Armor Brigade). Recon is available to all soldiers within the XVIII Airborne Corps and Washington Army National Guard for testing and feedback. Get your free account here: recon.exialabs.com/
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We’re thrilled (and a little nervous) to announce that the demo for Mr. President is now available as part of Steam Next Fest! We plan for this demo to be live only during Steam Next Fest, which runs from June 9th to June 16th. Play now! store.steampowered.com/app/3

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i OnLy UsE yOu To DoWnLoAd ChRoMe
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