Investor at @GeneralCatalyst. @MenloVentures, @Salesforce APM and @StanfordEng alum. Probably coding or doing the @NYTimes crossword.

San Francisco
Joined May 2022
Katie Keller retweeted
Introducing Voyager: the open harness for S-tier video, graphics and games. The Codex for creative work. Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek. It comes with free graphics, music and video editing tools - or, it can drive Blender, Resolve, After Effects, Ableton and 100+ others. Everything in this thread was made with Voyager. A few of our favorites:
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“The digital world lacks physical information. The physical world lacks dense digital information. Games perfectly merge these two together, and we believe that’s just the next phase of pretraining.” Every few weeks @gen_intuition ships new emergent capabilities that are orthogonal to anything you see in the LLM world. Watch GC’s @max_rimpel in conversation with @PimDeWitte. Chapters 00:00 — Introduction 00:10 — The World's Biggest Private RuneScape Server 03:09 — From RuneScape to Ebola 07:41 — Mapping the Unmappable 09:47 — Why LLMs Can't See the World 13:45 — The Accidental Foundation of General Intuition 19:10 — Turning Down a Life-Changing Acquisition Offer 21:12 — One Foot in Front of the Other 24:04 — Atoms to Atoms 27:33 — The Talent Flywheel 30:20 — Protecting the Last Weird Corner of the Internet
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It's not writing -- it's AI slop.
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the power of claude compels you
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Katie Keller retweeted
not all of us were made to cook. some of us were made to have conversations with the person cooking.
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Katie Keller retweeted
We don't manually test features anymore. You can now run continuous QA features in Claude using “Feature Review” by Ranger. Feature Review is an always-on AI QA that runs in the background, fixing features while providing you and your team with full visibility. Never ask Claude to fix errors again.
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Katie Keller retweeted
We just built a browser agent that outperforms OpenAI, Anthropic, Perplexity, and Manus on real-world tasks that knowledge workers actually do And it ranks #1 on every single major web benchmark
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Katie Keller retweeted
This piece nails something subtle but critical: the future of robotics isn’t unlocked by shiny demos or breakthroughs, but by relentless iteration in messy reality. An absolute must-read for anyone thinking seriously about where robotics actually compounds. Well done @packyM and @evanbeard at @standardbots 🤖🦾
Investors are betting billions of dollars that robotics will experience a Giant Leap. Meaning: robots are not useful today, but throw enough GPUs, models, data, and PhDs at the problem, and you’ll cross some threshold on the other side of which you will meet robots that can walk into any room and do whatever they’re told. The Giant Leap view is sexy. It holds the promise of a totally unbounded market – labor today is a ~$25 trillion market, constrained by the cost and unreliability of humans; if robots become cheap, general, and autonomous, the argument goes that you get Jevons Paradox for labor - available to whichever team of geniuses in a garage produces the big breakthrough first. This is the type of innovation that Silicon Valley loves. Brilliant minds love opportunities where success is just a brilliant idea away. My friend @evanbeard is betting that progress will happen by climbing the gradient of variability. That robotics will progress towards general usefulness in small steps. The logic is clear: - Robotics is bottlenecked on data. - The best data is the data your robots collect actually doing things. - The best strategy, then, even if it's not the sexiest, is to get paid to collect that data, learn, and iterate. This is where the vast majority of value lies, and the real path to our abundant robotic future. For the first co-written essay in not boring world, Evan and I write about the robots.
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🎨@Tempo_Labs just launched v2 of their visual editor for React, powered by AI. Tempo feels like a design tool but works like an IDE. It enables designers & devs to collaborate on code and helps teams ship production-grade software 10X faster. ycombinator.com/launches/N19…
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Very excited about what the Mooncake team is up to. This infrastructure will enable a new class of applications that is far more intelligent than anything we have seen so far. Well done
New way of doing analytics in Postgres: github.com/Mooncake-Labs/pg_… You now can simply create a columnstore table inside Postgres, load data and query it using Postgres syntax. And it's FAST. Duckdb level fast. Actually it uses duckdb underneath. Give it a go on @neondatabase
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Working late 4th of July week. We're back.
This isn’t true. Last week, a seed stage company had 10+ lead term sheets. This week, talking to companies with 5+ lead term sheets each. For the right deal, they will Zoom in from Italy and have the people on the ground chase you.
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AI will pose both a cybersecurity threat and an opportunity for cyber automation. Excited for this nuanced take by the Menlo security team!
Every enterprise shares a common concern: SECURITY. This week, Menlo’s cybersecurity investors share a two-part series on the topic. The first post–published today–will explore how businesses must think about security in the new era of AI. The second post, slated for Thursday, will explore how AI will inform cybersecurity solutions. Read part one here: mnlo.vc/Security_for_AI Authored by @venkyganesan, @vcrama, @FHaskaraman, and @samanthasborja
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The future of the modern AI stack is being decided now. There are a few things we know for sure: 1. Enterprises spend more on inference than training. 2. We live in a multi-model world. 3. RAG is the dominant architectural approach. 4. All developers are now AI developers. But, if 2023 was the year of AI experimentation, 2024 will be ll invests and the trends shaping the future of the AI stack read @MenloVentures’ Modern AI Stack Report mnlo.vc/modern_AI_stack If you have comments or questions, please reach out to the investors who authored this report: @mmurph, @timt, @gracewenge, @ktempestkeller, and @derekgxiao
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1/ Stoked to announce my first games investment at @MenloVentures, leading the seed round of @BarnyardGG, founded by @JB_BGI, @MisterArmstrong, Mark Cieslar, and Chris Sturr, veterans of AAA gaming. The team is taking their talents to Epic Games’ #UEFN , leveraging its 70M+ active player base to create next gen social games 🎮 More from @deantak 👇 venturebeat.com/games/barnya…
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We've been working with a ton of AI companies at @useOrb, so I was very excited to chat with an incredible group of AI leaders yesterday including folks at @Cloudflare, @fal_ai_data, @figma, @Meta, @databricks, @prodvana, @AdeptAILabs, and more! My takeaways below 👇🏽
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check out this demo, you will not regret it. the future is built at Menlo 🧡
1/ Today I am thrilled to announce @SquintAI’s $13M Series A, led by @sequoia, with participation from @MenloVentures (and Menlo Labs)
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3 features in @useOrb's developer experience, designed to make your integration faster and safer.
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Katie Keller retweeted
Vector database pioneer before it was fashionable! 👏👏 @EdoLiberty
Congratulations to @pinecone and @EdoLiberty on making the @FortuneMagazine 50 AI Innovators, we’re proud to partner with you!
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Trust and safety has never been more core to the conversation. Love seeing @AnthropicAI on this list. Cheers to @dario_amodei, @NeeravKingsland, @sandybanerj and all our friends at Anthropic. (Hopefully you can celebrate over a restful long weekend after a wild week!)
Congratulations to @AnthropicAI and @Dario_Amodei + @DanielaAmodei on making the @FortuneMagazine 50 AI Innovators, we’re excited for your future success!
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My favorite thing about working on @useOrb is getting to support amazing organizations like @Replit advance their mission just a bit faster. Every incremental second spent on <not billing> is leverage.
We're excited to share our case study with @Replit
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