Samira Behrouzan

3.3K posts

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Samira Behrouzan

Samira Behrouzan

@SamiraBehrouzan

Partner @a16z building @speedrun I Prev. @100Thieves @riotgames @Zedd

Los Angeles, CA Katılım Temmuz 2016
1.5K Takip Edilen4.8K Takipçiler
Bella
Bella@nazzari·
Cracked is 2024 and 2025 but Legit is timeless.
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Ryan K. Rigney
Ryan K. Rigney@RKRigney·
@far33d making some phone calls to turn this into a real billboard
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Fareed Mosavat
Fareed Mosavat@far33d·
Agent-native products are coming. Every product on the internet was built for a human with eyes, a cursor, and a credit card. Agents have none of those things. Most companies are teaching agents to pretend to be humans. That's a hack. The real opportunity is products designed for agents from scratch. Everything inverts: • Discovery → protocol registries, not ads and billboards • Trust → machine-readable reputation, not brand • Onboarding → full capabilities upfront, not a narrow slice • Payments → spend authorization, not checkout flows • Retention → zero. Agents switch between API calls. 30 years of human product design. Day one of agent product design.
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Daniel Dhawan
Daniel Dhawan@daniel_dhawan·
My first 6 years as a startup founder: - Failed with 4+ startups - Ran out of money multiple times & had $15K credit card debt - Was rejected by Y Combinator 8 times - Got 200+ rejections from investors My last year as a startup founder: - Got into a16z @speedrun & raised $18M - Moved to SF & got O1 thanks to @tmhammer & @lighthousehq_ - Scaled Rork to #1 AI mobile app builder in the world The average journey to a $1B company takes 10 years. I’m on year 7. Keep building.
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Tom 🔨@tmhammer

30 of the 70 companies in our last @speedrun batch had founders born outside the US and if we keep doing our job – and we will – that number is only going up: * founders building products + teams internationally * builders stuck in an H-1B job ready to accelerate their slope * students here on F-1 who are ready to take a shot at their startup idea Speedrun Global Founders is our answer >> our end-to-end approach to guiding founders through visas, customs, housing, banking, and building local SF community, while enabling founders from all over the globe to participate in Speedrun we also have the coolest hat in venture - maybe thats a lame flex, but i honestly challenge you to show me better vc drip you might catch a few of our founders wearing them today. come through Global Founders and I’ll bring you one 🫡 -apply below my friends-

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Tom 🔨
Tom 🔨@tmhammer·
30 of the 70 companies in our last @speedrun batch had founders born outside the US and if we keep doing our job – and we will – that number is only going up: * founders building products + teams internationally * builders stuck in an H-1B job ready to accelerate their slope * students here on F-1 who are ready to take a shot at their startup idea Speedrun Global Founders is our answer >> our end-to-end approach to guiding founders through visas, customs, housing, banking, and building local SF community, while enabling founders from all over the globe to participate in Speedrun we also have the coolest hat in venture - maybe thats a lame flex, but i honestly challenge you to show me better vc drip you might catch a few of our founders wearing them today. come through Global Founders and I’ll bring you one 🫡 -apply below my friends-
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Jason Cui
Jason Cui@JasonSCui·
AI has transformed how video is created. We think the next wave is about understanding it. Over the past few years, we've seen remarkable advances in video generation, editing, avatars, and creative tooling. An increasingly important problem is teaching machines to search, analyze, reason over, and extract insight from video - across massive libraries and live streams alike. We're calling this video intelligence, and we're actively looking to back founders building here. We're most excited about companies pushing on the core capabilities: - Video-native models - multimodal embeddings, temporal reasoning, and retrieval built specifically for video rather than adapted from image or text - Real-time and large-scale pipelines - infrastructure for processing, indexing, and querying video at the speed and scale enterprises actually need - Agentic and reasoning layers - systems that don't just retrieve clips but answer questions, surface anomalies, and take action on what they see The models and infrastructure to make this real are appearing to be crossing a capability threshold right now. Multimodal foundation models are maturing, storage costs have collapsed, and enterprises are sitting on years of unstructured video with no way to use it. That infrastructure unlocks a wide range of applications including media and sports workflows, security and physical operations, enterprise knowledge management, advertising analytics, robotics, and consumer products, where video has historically been dark data. If you're building in video intelligence at the model layer, the platform layer, or in a vertical application, we'd love to talk!
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Troy Kirwin
Troy Kirwin@tkexpress11·
[New] from a16z @speedrun: Come for the Agent, Stay for the Network there's a quiet pattern hiding inside the most defensible vertical AI startups right now: the agent is the wedge the network is the moat. here's what I mean: an HVAC tech needs a part today. >>Traditionally: hours to investigate, 5 calls, emailing for quotes, waiting days, and comparing PDF catalogues by hand >>Now: an AI procurement agent identifies the exact SKU, autonomously contacts suppliers, negotiates price, and orders - in minutes but - the network forming is the real differentiator: when that agent is operating across thousands of buyers, the system starts seeing real transaction prices - not list prices > It can tell you you're paying 18% above market > It can bundle demand across forty facilities and negotiate bulk pricing = Suppliers start competing to be plugged into the agentic network these AI procurement agents can become networked, sticky platforms when an industry has some combo of: + Fragmented supply and demand + Offline suppliers + Opaque yet elastic pricing + Frequent purchases + Different SKUs; or + a commoditized product or services in the past, suppliers thrived off of the offline nature of these markets with an agentic platform, the demand side can be aggregated and the power balance flipped you can start to become the interface buyers default to, the channel suppliers need to be on, and the owner of the richest pricing dataset in the industry by unlocking an efficient marketplace, you can charge on a % of revenue basis vs token or seat basis. we’re seeing this trend emerge across several SR006 @speedrun companies including Heavi for truck repair shops and Vereda for farmers few examples of industries ripe for AI procurement agents include: -- Freight and logistics -- Agricultural inputs -- Field services -- Food service procurement -- Construction subcontracting -- Industrial MRO -- Healthcare staffing -- And more if this sounds like something you're interested in, apply to speedrun now
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Greg the Sorcerer
Greg the Sorcerer@gregthesorcerer·
We live in the ruins of a greater civilization
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Fareed Mosavat
Fareed Mosavat@far33d·
Who are all the Brown University unicorns? Figma MongoDB Workday OpenSea Casper Any others?
Olivia Moore@omooretweets

I built a startup incubator at Stanford in 2015 - all of this is absolutely true (and it gets crazier each year!) VCs are ever-present, and the coolest thing you can do is drop out to start a company. Raising money is (IMO) easier than at any other school - no investor wants to miss the next Snap or IG. That being said...I don't think anyone is getting hurt here! For student founders - Stanford makes it very easy to come back and complete your degree. And, you don't get "punished" if your startup doesn't work. Being an ex-founder makes you more attractive as an employee...and as a founder for company #2. Investors spend time at Stanford because it has produced by far the most unicorn founders. If/when Stanford is producing more noise than signal, investors will adjust and spend more time on other campuses (as they have increasingly done over the last ~5 years). It is a fairly efficient system in the long term, even though the lag between investment -> returns means there can be some short-term cycles that look like "bubbles".

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Bella
Bella@nazzari·
thank you to my friends who came to support @speedrun 🖤 (many not pictured but very much remembered). Speedrun is still so young and to many people not fully discovered, so it’s a pleasure to be able to share who we are on and off screen!
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Josh Lu
Josh Lu@JoshLu·
Time to take a break and touch grass because I have started to get so frustrated with Claude that I'm getting chippy in chat and it's bleeding into my communications with my actual co-workers
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andrew chen
andrew chen@andrewchen·
today's the final day a16z speedrun merch drop at speedrun cafe! last day -- come get some food, hang out with us. if you came through earlier in the week come through for one last hurrah
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Macy Mills
Macy Mills@_CallMeMacy·
Need more reasons to apply for @speedrun 007? How about access to enterprise buyers and hands-on sales training? Sound too good to be true? It's not.
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