angela strange

795 posts

angela strange

angela strange

@astrange

General Partner (AI Apps & Fintech) @a16z, proud Canadian, mom of 2 boys, distance runner; Previous: product leader

San Francisco, CA Katılım Şubat 2007
1.9K Takip Edilen27.3K Takipçiler
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TK Kong
TK Kong@tkkong·
I’ve started a new company with @philhchen! Phil built frontier LLMs across research & engineering at OpenAI, DeepMind, and Scale. I was shipping AI experiments at Ramp Labs. We've been heads down building personalized AI coworkers for every business. We’re growing our team of researchers, designers, and IMO gold medalists. Reach out if you're interested!
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andrew chen
andrew chen@andrewchen·
ok - dropping big dates/news for a16z speedrun: - starting TODAY, founders can apply for the 2026 program that runs July 27 to Oct 11 in SF here's the link: speedrun007.a16z.com/ac - we will be investing up to $1M and funding 70+ companies over the next few weeks - But there's also $5M in credits/tokens/etc from AWS/GCP/Open AI/Azure/NVIDIA/Deel/Stripe/etc. You'll also work with our amazing operating team (GTM, talent, brand, people, and more), and join our community of elite founders - we offer a Global Founders Program for international founders, to help with visas, banking support, relo recommendations - yes you can be solo (but better if you're further along, and have built a team). No you don't have to have an idea yet. Yes you have to know how to build (even if you're not technical) - Also, in other news: speedun is officially moving full-time to SF. (prev it alternated SF/LA) this is for all the obv reasons - we've continued to have an insane lineup of speakers, including the founders of Carta / DoorDash / Twilio / Figma / Zynga / Airtable / Twitch / and of course, lunch/dinners with Marc/Ben alongside a16z team - and much more - the deadline for applying is May 17!
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angela strange@astrange·
Going to miss my partner @kirbyman01 ! Learned so much about consumer from you. Your momentum most is strong:) look forward to continuing to work together even when our funds have diff names
Bryan Kim@kirbyman01

PERSONAL UPDATE: After 5+ years, I am leaving @a16z to start a fund! This was the toughest career decision of my life. I learned from the best partners and was privileged to work with incredible founders. So why leave? It is simply time to build. More to come on this.

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Sebastian Mejia
Sebastian Mejia@mejiasebas·
@astrange Good ideas should fit in napkins, so heres the napkin version. Thank you Angela.
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Max Avery
Max Avery@realMaxAvery·
@astrange IQ gets in. AQ and agency determine who actually builds something meaningful
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angela strange@astrange·
Full podcast here! Sebastian cofounded Rappi and scaled it into nine countries before stepping away to start Tako, an AI company taking on Brazil's labor and tax complexity. We speak about building durable companies in hostile markets, and what it will take for Latin America to produce global AI winners. youtube.com/watch?v=soVSK6…
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angela strange@astrange·
Most hiring conversations focus on IQ and EQ. But Tako co-founder Sebastian Mejia spends most of his time on 2 other corners: AQ ("adversity quotient" or resilience) and Agency. His framing: to build a global company, you need to attract the best global talent. And the differentiating signal isn't the smartest person in the room — it's the one who pushes through when things get hard and doesn't wait to be told what to do. I've started stealing this lens. Resilience and agency are incredibly hard to teach and provide the biggest upside to your company. You kind of just have them — or you don't. @mejiasebas @usetako @GEVS94
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Marco Mascorro
Marco Mascorro@Mascobot·
Life update: I've decided to leave a16z. It's been an incredible run. I joined as a Partner about 3 years ago, a very different time in AI timelines. AI was in an early takeoff stage, code hadn't reached its full potential yet, and the RL, robotics, and AI infra landscape was still taking shape. I got to work alongside some of the sharpest founders and AI researchers in tech, backing people working on the most interesting problems. It wasn't an easy decision. I've loved working with every team I've backed and worked with during this time (and I'll keep working and helping them in any way I can). Cursor had just launched in early 2023 when I met Aman co-hosting a few events at academic conferences back when AI coding was still in its early days, and it was clear since then that they were something special. Every company and team has special, from @cursor_ai, @thinkymachines, @bfl_ml, @WaveFormsAI, @deeptuneai, @ShizukuAILabs (and other unannounced ones). I'm incredibly grateful they let me be a tiny part of their journey. I'm also incredibly grateful to @bhorowitz, @martin_casado, @pmarca, @JenniferHli, and @sarahdingwang for trusting me very early on and to the entire AI infra team. This team is genuinely special and the best team founders can work with. What's next? More to come soon on this! This is something I've been thinking about for some time. The progress in AI models, RL, computer-use, robotics, has been staggering, and today we have incredibly powerful tools to work on problems that aren't yet solved and have significant potential at the current pace of progress. To the entire a16z team, thank you!
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angela strange
angela strange@astrange·
Planned serendipity is magic ⭐ A well curated group of founders, CEOs/ Execs at the most important companies, investors of all stages — combined with a few speakers to spark ideas — but mostly unstructured time to connect = 🔥 Grateful to our founders, my partners at @a16z & all our friends who made this year extra special!! @arampell @illscience @dhaber @DavidGeorge83 @immerman @seema_amble @bhorowitz
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angela strange@astrange·
What's the easiest way for an agent to get their own phone number? Google voice (doesn't work w/ What's App), Twilio (have to set up fake business), Actual phone line (very cumbersome or blocked by IT)...
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angela strange@astrange·
@adamac Then I also need to go buy a phone that's compatible...
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Marco Mascorro
Marco Mascorro@Mascobot·
🚨 New: Excited to announce we @a16z are leading @deeptuneai’s Series A. RL environments are becoming both the bottleneck and the unlock for training the next generation of frontier AI models. The shift is clear: from static datasets to dynamic, engineered environments where models learn to write code, perform knowledge-work tasks, and fully control computers end-to-end. Deeptune is building this layer from the ground up and is already driving progress with top AI labs. Learn more about Deeptune and @timlupo:
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angela strange@astrange·
A good heuristic for whether your company is moving fast enough for AI: Append "engineering" to every function. Then rate it. GTM → GTM Engineering ✅ | Product → Product Engineering ✅ | Talent → Talent Engineering ❌ Talent is where it breaks. The best teams are running a diff playbook: new tools, new sourcing signals, different interview loops. The talent leads are former founders or engineers. h/t @forwarddeploy for the inspiration
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Anish Acharya
Anish Acharya@illscience·
this is the same backwards looking view that drove skepticism of $1B funds ten years ago in a world where software is far easier to make + 100x more capable why would we believe the growth rates or terminal values of past cos are the ceiling? love deedy but disagree here!
Deedy@deedydas

Founders should know the sobering reality for enterprise SaaS venture funding today. Here’s the math. Say you’re a $1M ARR company raising a Series A with a classic 33222 growth expectation. That gets you to $72M in 5yrs and say $250M in 8yrs. By then you’re usually growing <<50% and the public markets might give you a 7x or $1.75B, if you can even go public. If you get $10M at $100M post-money for the A, that’s a 17.5x and maybe 10x after dilution. That would be ~33% IRR and $10M invested becomes $100M. In the venture model, you have to outperform the SP500 which is 15% and a Google which is 25%. Here, with perfect execution, a lot of work, time and risk, you get 33% in a near optimal (95 percentile) case. And usually, you expect 7/10 things to not work out: execution risk, market size, competition. Plus, this math is for a Series A. You need investors to underwrite even more growth at the B / C / D. It’s really hard to see this sort of deal driving fund returns. Now, of course, there’s tons of caveats. You could pay less than $100M post, try to grow faster, do pro rata to avoid dilution, stay private longer etc, but the point remains. There might be exceptional growth stories like Databricks, Snowflake and Applied Intuition, but most deals look like what I described. In a previous time, SaaS multiples were higher in public (20x), entry valuations were lower ($30M) and the money you needed to hire talent was lower ($150k). You could get 100% IRR before. Now, it’s harder than ever to justify investing here, unless they are true outliers.

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