We're an early-stage venture firm led by operators and investors from OpenAI, Twitter, IG & A16z. Our team: @elizabeth @stuartdsmith @kevinweil @christenobrien
Joined April 2020
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Scribble Ventures retweeted
Meet Mate! A specialized ecom agent built on a network of 200,000 merchant partnerships.
The agentic consumer era is barely 80 days old: We believe agent-driven commerce will become a trillion dollar market over the next decade.
But there's a fundamental problem with general purpose agents (Grok Bot, Instinct etc): They're built on top of the the commerce ecosystem, not embedded directly into it.
We've spent the last 3 years in stealth building that infrastructure: 200,000 merchant partnerships powering cashback, exclusive discounts, package tracking and personalized savings (as well as the ability to share links and get paid for them!)
The result is Mate. An agent built specifically for commerce, with a merchant network that general purpose agents can't replicate.
The next wave of agents will be specialized and built on the back of deep partnership moats.
Super proud of our team and all the merchants who joined our network to build this! Enjoy!
Scribble Ventures retweeted
introducing simulate.ai by @raindrop_ai
test your agent on every PR, against real scenarios, with one-click.
we handle all the set up: sandboxing, fixtures, real data, synthetic data, evals and more.
Scribble Ventures retweeted
today, we're excited to announce change reports.
@raindrop_ai watches every PR and sends you slack dm's on how your agent changes actually performed in production
Scribble Ventures retweeted
Today @dolapo and I are introducing Scuba, the shared context engine for teams and their agents.
Never lose a great idea. Capture anything, share what matters, and keep your people and agents aligned as you move faster together.
Everyone is moving faster on their own with AI. But so few teams feel they’re moving smarter together.
The models aren't intelligence bound anymore. They're context constrained.
Scuba is the shared memory your team has been missing. Put it to work in Slack, Claude, ChatGPT, Cursor, and any tool that supports MCP. We run our whole company on it, with under two hours of meetings a week.
We’re emerging out of stealth with $34M. We’re grateful to @accel for leading our pre-seed and co-leading our seed with @ivp, alongside @BoxGroup, @conviction, @homebrew, and @ScribbleVC. Our angels include the founders of Slack (@stewart @iamcal), Instagram (@mikeyk), Stripe (@patrickc), LinkedIn (@reidhoffman & Jeff Weiner), Salesforce (@parkerharris), Datadog (@oliveur), Vanta (@christinacaci), Harvey (@winstonweinberg), Dropbox (@drewhouston), Abridge (@ShivdevRao), Duolingo (@severinhacker), Granola (@cjpedregal), Warp (@zachlloydtweets), Zynga (@markpinc), Groupon (@andrewmason), Coda (@shishirmehrotra), Opendoor (@ericwu01), and Flatiron Health (@zachweinberg).
scuba.app
Scribble Ventures retweeted
Drug discovery is where frontier AI can matter the most.
Today we're announcing @Chaidiscovery’s collaboration with @GSK, following a successful wet-lab evaluation of our models. Using Chai-3, @GSK found binders to every target tested.
AI is entering its proof-point phase.
Scribble Ventures retweeted
FinalDose: We’re going to end cancer in the open
We plan to build FinalDose as public as we possibly can and write up as we go, including the parts that don’t survive! Please help spread the word:
@FinalDoseLFG
substack.com/@finaldose
Scribble Ventures retweeted
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/
Scribble Ventures retweeted
Today, we are announcing our Series A and a new product: @raindrop_ai Simulations.
We've now raised $50m from @CRV and @lightspeedvp to protect the world from agent failures, big and small.
Scribble Ventures retweeted
Our first ever tweet - and what better way to kick things off than with this:
Big news - AITAN is coming out of stealth!
We're excited to announce our $41M Series A, backed by @Deep33Ventures, @MichaelDell, @blingcapital, @gokulr, and @ScribbleVC - bringing total financing to $54M.
Our edge AI robotic weapon systems are combat proven: 500,000+ hours logged in the field, protecting the people who use them every day.
To the AITAN team: this milestone is yours. Every hour, every mission, every late night getting the tech right — that's your work.
This is just the beginning.
axios.com/2026/09/02/aitan-i…
Scribble Ventures retweeted
A few months ago, Google searches for the word "peptide" overtook "pickleball".
The tech community was early to the peptide wave, for good reason.
But what did Silicon Valley get wrong about peptides And what should everyone know about how they work best?
Sharing my @ScribbleVC "Call Notes" from a recent catchup with @Noho_Labs co-founders Dr. Tina Wu and @Mazzeo 👇.
youtube.com/watch?v=CdP3Qdr_…
Scribble Ventures retweeted
This is spot on. It would be a shame if we get AGI for enterprise productivity and miss on AGI for scientific acceleration. Can't let it happen.
I disagree with Dario on most things, but this is spot on: “At this point, saying that AI will cure cancer is more a cliché than it is inspiring, and most people think it is deceptive. The thing that will work is actually curing cancer.”
The thing that frustrates me is that some people often draw a straight line from smarter models → cures, without acknowledging how much infrastructure is missing in between. We’ve still got a lot of work to do, people.
The regulatory bottleneck gets a lot of attention. But the bigger bottleneck may be that in many places, we’re lacking the right biological data. AI can’t reason its way to cures if we haven’t generated the data required to understand the disease in the first place.
Ironically, that’s why I’m most bullish on AI making dramatic progress in cancer first: decades of investment have produced extraordinary datasets across genomics, pathology, imaging, clinical outcomes, and more.
For complex chronic diseases, much of that infrastructure simply doesn’t exist yet. The good news is that many companies (including @ChronicleBioAI) are racing to build it.
But model intelligence and biological infrastructure are going to have to scale together. I really do believe AI can cure all diseases but only if we build the infrastructure to translate intelligence into cures at the same pace that models improve (which is a high bar!). Otherwise, we risk having superintelligent AI with an incomplete picture of human biology, and delay that promise by years.
Scribble Ventures retweeted
Tune in to TBPN today to see @2112Power discuss our Series D and what we're doing next.
Happy Thursday. On today's show:
- @zoink (Figma)
- @nxthompson (The Atlantic)
- @2112Power (Hadrian)
- @adityaag (South Park Commons)
- @CMochen (Atlas Motion)
- Ariane Gorin (Expedia)
See you on the stream.
Scribble Ventures retweeted
Enjoyed this conversation with @ScribbleVC.
A little bit of medicine. A little bit of music. A little bit of skateboarding. Mostly, a conversation about building.
Thanks for having me.
youtu.be/9izBbAMaYok?is=91QC…
Scribble Ventures retweeted
Super excited to be joining the @stoke_space board! 🚀
I've known Andy since their seed round (thx @beller). Every month, like clockwork, he'd send an investor update with an impressive-looking bullet list of what they were going to get done that month. At the end of the month, the next update would show each of those bullets crossed out done—rarely they might miss one, and it would come with an ETA—and a list of what they'd get done the next month. Like clockwork, month after month after month. Andy, Tom, and the team are machines and it's been so impressive to watch them execute.
Space is critical to the future of humanity. I loved my time at @planet, I've watched @SpaceX in awe, and we should all be excited by how vibrant today's space ecosystem is.
We need far more access to space than we have today. We need full reusability, which Stoke has been single-mindedly focused on since the start. And much more beyond this. Can't wait to help accelerate the @stoke_space mission any way I can!
Scribble Ventures retweeted
IMO there's no greater part of this job than getting founders around a table to swap ideas + observations.
A tight founder community is a growth lever.
🙏 to our founders and to @CooleyLLP for co-hosting another epic @ScribbleVC dinner with us!
Scribble Ventures retweeted
We’re hiring in-house Memory Developers to shape how Memo perceives and interacts with the world.
The Role:
📍 On-site & flexible (3–5 days/week).
👟 Record high-quality task demos (e.g. folding t-shirts, arranging shoes, etc).
🧠 Beta-test new hardware and software.
📈 High growth potential into management.
Apply below if you’re detail-oriented, curious about AI, and interested in contributing to the future of autonomous home robotics.
Scribble Ventures retweeted
Today, we are announcing Proximal. Proximal is a research lab for data. Our core belief is that data which is complex enough to teach today’s frontier models is not bottlenecked by domain experts, but by great ideas and excellent software.
We are excited about a world in which coding agents can autonomously run for multiple weeks, solve the hardest technical problems and discover novel ideas that advance progress in various domains of science and engineering.
We believe that we are not far from this future, but that the biggest bottleneck preventing us from achieving it is training data.
Many companies work on data, but most of them are approaching it the wrong way. Historical capability breakthroughs are the result of creative engineers discovering scalable data collection methods, not thousands of contractors manually writing task demonstrations.
Inevitably, the potential impact of human data will become smaller and smaller as model capabilities increase: agents are already outperforming most humans in many domains - the number of experts that are capable of judging model outputs shrinks with every new model release.
Proximal is a new data company. We are not a recruiting firm or a talent marketplace, but a research and engineering organization that treats data as a problem which deserves the same level of rigor as work on training algorithms and model architectures.
We think that this is the most impactful work towards agents that can autonomously solve complex technical problems, and intend to share our research and progress in the open.
Scribble Ventures retweeted
OpenAI's @kevinweil says 24/7 robotic labs could automate scientific discovery using "reinforcement learning with a loop through the real world":
"There’s a lot of science that can be totally automated. There’s no reason at this point that you need to have grad students pipetting one thing into another thing."
"The idea is to have robotic labs that are online 24/7 and can scale in parallel. You have models reasoning for two days to find the most efficient experiments to run, once they get to a good point, they pass that to a robotic lab which can experiment in parallel at high volume."
"The results pass back into a model which reasons about the results and then goes out and runs a different set of experiments. You’re doing reinforcement learning with a loop through the real world."
Scribble Ventures retweeted
High school student uses AI to discover 1M+ objects humans missed in astronomical data. Head of NASA openly recruiting him through Twitter with a fighter jet ride included.
All my worlds colliding. I love everything about this.
