Joined April 2007
277 Photos and videos
Peter Fenton retweeted
Next month marks 10 years of @ClickHouseDB as an open source project and we are thrilled to welcome our community at our annual user conference today in San Francisco. To everyone who contributed code, filed an issue, or ran ClickHouse in production from the beginning: thank you. Today, we’re proud to share that ClickHouse has over 4,000 customers, passed $250M in ARR, and is trusted by teams like @AnthropicAI, @OpenAI, @cursor_ai, @Lovable, @vercel and many more building the future of AI. In this post, I cover the milestone, what we’re shipping, and what comes next: clickhouse.com/blog/thank-yo…
9
30
127
1,305,106
Peter Fenton retweeted
Exa is what I trust for all my agents. We use it at YC. We use it in all my OpenClaw and Hermes Agents. There is no other option that is as fast, as reliable, and as complete. When your agents need to search the web, accept no substitutes.
May 20
We raised $250M in Series C funding at a $2.2B valuation, led by a16z. Exa is a search lab organizing the web's data for agents.
69
85
1,666
281,703
RT @bgurley: A new @bgurley blog post! I have been thinking about how sophisticated executives are using open source in super creative way…

85
Peter Fenton retweeted
I’m so fucking proud of this team. They took an extraordinarily difficult technical swing with wafer-scale and connected on the first try. Then they spent years grinding through packaging, cooling, compilers, frameworks, early customers, and everything else required to turn a technical breakthrough into a real company — swinging and missing and learning and trying again. Most importantly, they stayed clear-eyed about what they had (a technical marvel) and what they didn’t (enough advantage in training), saw the opportunity emerging in inference, and adapted. That kind of persistence — not to be confused with stubbornness — is incredibly hard to describe, but absolutely essential in the unstable substrate of AI. The requirements of AI today will not be the requirements of AI tomorrow. But this team will keep figuring it out. And I’m here for it.
74
26
592
90,426
Peter Fenton retweeted
Today marks the 4th board I’ve served on for 10 years — Confluent, Amplitude, Cerebras, and Contentful. 4 of my first 5. Venture is a loooong, non-linear game.
19
9
358
59,321
Peter Fenton retweeted
Series E - raising $950 million from new and existing investors, led by @Tiger_Global and @GVteam, at a valuation of over $15 billion. Sierra now has more than $1 billion to invest in becoming the global standard for companies transforming their customer experiences with AI. sierra.ai/blog/better-custom…
14
83
435
26,201,103
Peter Fenton retweeted
Just went to visit Legora. Most impressive startup I've been to visit in years. They're going to surpass Harvey in 2027. After that their only potential rivals will be the model companies. And if ever there was a territory you could defend against the model companies, law is it.
194
138
3,090
542,215
Peter Fenton retweeted
Replying to @davidu
So it turns out I just ran this experiment yesterday, providing the exact same prompt and presentation notes to Gamma, Genspark, HyperAgent, Manus, and Claude for PowerPoint. All on paid plans. HyperAgent was by far the best. Claude for PowerPoint did a nice job with the text but was horrific on imagery. Genspark and Gamma were fine but the presentations that were spun out were too literal to my text and maybe optimized for visual pow versus great “story” I also did subsequent iterations with each of them and found Hyper Agent was the easiest and best to iterate on, but Genspark and Gamma allowed fine-tuned presentation changing whereas with Hyper Agent I had it spit out a PowerPoint and made my last tunes in PowerPoint For what it's worth I also tried Gemini, where I could not figure out how to get it to generate a whole presentation instead of slide-by-slide, and ChatGPT where I could not figure out how to get it to generate a full presentation
8
3
65
9,830
I've only felt this a handful of times in a first meeting — TheFacebook (2005), Twitter (2007), Instagram (2010), SnapChat (2011). Meeting @paulscherer hit me the same way -- wow, then inevitability
I’m honored to share that @eigenhq has raised $15M from @Benchmark to build a mutual friend that’ll help us belong and grow, together.
12
26
538
197,492
Peter Fenton retweeted
Apr 4
Starting tomorrow at 11am PT, Ollama subscriptions usage will refresh to cover increased usage of third-party tools like OpenClaw. Our goal is to help you transition smoothly. All tools will work with Ollama's cloud just like before.
124
181
2,663
239,941
Peter Fenton retweeted
Thrilled to announce our investment in Starcloud. From our initial investment to a $1.1B valuation, this extraordinary engineering team continues to make remarkable breakthroughs in power, cooling, and manufacturing. Their technical rigor and ambition is truly exceptional!
I am super excited to share that @Starcloud_ has raised a $170M Series A at a $1.1bn valuation to fuel our development of data centers in space 🚀 The round comes after the successful deployment of our first satellite, Starcould-1, a few months ago, which had the first @NVIDIA H100 on board and was the first to train an LLM in space. The funds will be used to develop our third satellite, which aims to be cost-competitive with Earth-based data centers in terms of AI inference cost. The round was led by @Benchmark and @EQT Ventures, and we are excited to welcome Benchmark GP, @Chetanp Puttagunta, to our board. We are also excited to welcome other new investors, including the world's largest infrastructure fund, @Macquarie Capital, @SevenSevenSix 7️⃣7️⃣6️⃣, Manhattan West, Adjacent, Carya, GSBackers, and Harpoon. We are very grateful for the continued support of existing investors, including @NFX@NebularVC@YCombinator@FUSE_VC@Soma_Capital, 3Capital Partners, Wyld VC, Tiny VC, and Taurus Ventures. Onwards!
17
29
290
82,787
Q4 '22 divided the world into pre- and post-ChatGPT. Q4 '25 did the same for agentic AI. The best entrepreneurs sensed the gravity of this moment — @btaylor and the team at Sierra acted on it
Today, Sierra is releasing Ghostwriter, our agent for building agents. With Ghostwriter, you can create an AI agent for your customer experience — one that can chat, pick up the phone, speak dozens of languages, take action on your systems of record, and be protected with industry-leading guardrails — simply by having a conversation. No clicking, no forms, no menus. Codex and Claude Code have transformed how we build software, making it possible for software engineers to orchestrate and review the work rather than doing all the work themselves. We think the same transformation will happen for all software. Rather than every enterprise app having a web app for humans and an API for automation, every software platform’s UI will be an agent that can do the work on your behalf. I recorded a demo of my building and optimizing an agent with Ghostwriter so you can see how powerful and easy it is to use. It’s completely changed the way our early adopters build agents, and it’s changed the way I think about the software industry. Let me know what you think, and, if you’re interested in trying it out at your business, please reach out directly.
1
5
72
26,488
Peter Fenton retweeted
HeyGen made Fast Company's Most Innovative Companies list for 2026. We built it for introverts. For people who hate cameras. For people who had something to say but no easy way to say it. 31 million people signed up so far. Turns out there were a lot of us.
11
15
45
7,283
Peter Fenton retweeted
Traditional coding benchmarks do not reflect how software is actually built and maintained. That's why we built a new benchmark, APEX-SWE, in partnership with @cognition. It measures whether AI models can perform complex, real-world software engineering work to ship systems that work and debug them when they don't. @OpenAI GPT 5.3 Codex (High) tops the leaderboard at 41.5% on Pass@1.
130
138
798
207,570
Peter Fenton retweeted
Turner and I covered a wide range of topics including the history of software and why the AI application vs SaaS shift mirrors the SaaS vs On-Prem disruption. Plus: investing in AI applications, the dynamics in the AI application market, and more. Hope you will listen!
New @ThePeelPod with @chetanp We talk Manus, the history future of software, why incumbents should make big AI acquisitions, why investors are begging for AI companies to go public, and inside @Benchmark’s latest investing strategy. Thanks @Numeral and @FlexSuperApp for sponsoring this episode. 0:08 Inside the $2.5B Manus acquisition 6:24 Manus' three main use cases 11:08 Taking heat on Twitter 15:10 Starting to tweet about software in 2018 22:50 The history of application software 29:15 Benchmark’s 25x Fund 7 31:33 How incumbents got too dominant by 2020 31:48 Going all-in on AI software in 2022 39:31 Why Benchmark didn’t invest in the AI labs 40:48 How cloud companies beat on-prem incumbents 44:33 Why AI companies will beat legacy cloud incumbents 50:04 SaaS companies should make big AI acquisitions 57:35 Why incumbents have not bought more AI companies 1:04:43 Public markets are starving for AI companies 1:10:14 Inside Benchmark’s fund strategy 1:14:14 Benchmark’s history of non-traditional VC rounds 1:17:56 Is the 20% ownership model outdated? 1:19:20 Chetan’s rebirth as a consumer investor 1:22:39 What Benchmark looks for in founders 1:25:01 AI coding and AI software gross margins
6
9
37
18,151
Peter Fenton retweeted
If you haven't listened to this conversation between @btaylor and @jaltma yet, I couldn't recommend it more. If you are building in the AI space right now, consider this required listening. Truly exceptional content. 10/10.
This week, on Benchmark's new podcast Uncapped 😂, I sat down with @btaylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards
3
14
173
54,201
The same brilliance that made @airtable — giving millions of builders the power of a relational database — just did it again with AI. A bright, clarifying light in the complexity of agents, this makes it all so vivid and useful for builders
I've been personally burning through billions of tokens a week for the past few months as a builder. Today I'm excited to announce Hyperagent, by Airtable. An agents platform where every session gets its own isolated, full computing environment in the cloud — no Mac Mini required. Real browser, code execution, image/video generation, data warehouse access, hundreds of integrations, and the ability to learn any new API as a skill. Deep domain expertise through skill learning. Teach the agent how your firm evaluates startups or how your team runs due diligence — now anyone on the team gets output that reflects your actual methodology, not a generic template. One-click deployment into Slack as intelligent coworkers. These aren't bots that wait to be @mentioned — they follow conversations, understand context, and act when relevant. And a command center to oversee and continuously improve your entire fleet of agents at scale. We're onboarding early users now. hyperagent.com
3
9
184
80,403
Peter Fenton retweeted
The thing that becomes obvious when you hear Bret speak is how much of a business/tech historian he is and how valuable being steeped in those learnings from the past is when building a generational business for the future
This week, on Benchmark's new podcast Uncapped 😂, I sat down with @btaylor, founder of Sierra and Chairman of OpenAI. He's easily one of the most impressive people I’ve met in tech or in general. We talked about AI and the saaspocalypse, the unique considerations of building an AI native / agent company, whether young or experienced founders have the advantage right now, Codex and OpenAI ads, and much more. Learned a ton from Bret, hope you enjoy. (0:00) Intro (0:20) The Saaspocalypse and systems of record (12:34) Sierra's landscape (17:05) Outcome-based pricing (24:22) The rapid evolution of AI support technology (28:21) Young founders vs. experienced founders (34:12) What comes next beyond support (38:47) Codex and the future of software engineering (51:49) OpenAI and advertising (54:59) Working with investors and boards
7
5
114
20,912
Peter Fenton retweeted
Feb 17
Happy for my brother. An absolute triumph for Benchmark.
I’m really excited to share that I’m joining Benchmark. The past two years as a full time investor have been the most rewarding of my career. I really love venture capital, which is not something I ever imagined I’d say when I was kid, but here we are. I love new ideas and being part of a team with a mission. I love getting to be there for people who are struggling towards goals they really care about. I love learning from people who are better CEOs than I ever was. I love the texture of the work, the competition, and the way the job lets you invest in relationships. I love it so much that I’ve even turned into a little venture nerd with a podcast who goes around harassing great investors and founders, trying to learn as much as I can as fast as possible. I’ve certainly learned what I care most about, and what kind of investor I want to be. What I’ve realized is that I love investing at the Series A, when there’s enough going on that an investor can be useful but not so much that you can’t have an impact. I think there are many amazing ways to practice venture, it’s just the way that most speaks to me. And as I came to realize that, I started to think about how to best set myself up to do that craft as well as possible. It became clear to me there is nowhere better for this than Benchmark; the way they’re structured, their principles, their overall approach to investing, and their track record all create an environment that I believe will let me do my best work as an investor and help founders the most I possibly can. As I’ve gotten to know the team at Benchmark I’ve come to admire so much about each of them. Peter is truly playing his own game. A lot of what he says sounds like poetry at first, but as the ideas roll around in your head for a while you realize how much depth they have. I first heard about Eric many years ago from my friend Saji at Benchling while I was building Lattice, who described him as the most amazing board member and attributed him with a lot of the company’s success. That’s the kind of partner I want to be one day. Chetan is brilliant and truly thinks for himself; I’ve realized over time what a courageous guy he is. And then there’s my friend Ev, whose skills complement mine and who I just love to be around. I can’t wait to have him as a partner in crime. When given the chance to work with this group I just knew I had to go. One of my motivating north stars with Alt Capital was to build a firm and be a partner that I most would have wanted as an entrepreneur. Although I haven’t gotten everywhere I want to be yet, I’m proud of the work so far. And now I’m excited to build on that work at Benchmark, where I hope to increase my rate of learning and get armed with the power of a partnership so I can help founders reach their dreams even more. Thank you to the companies who’ve let me invest with them at Alt Cap. I’m keeping all my board seats and supporting everyone just the same as before. Thank you to the LPs who’ve backed me as well. I am so excited about the portfolio we have and am grateful I can stick with all those companies. And finally thank you to my teammates, Bala, Vivek, and Nate. Bala took a bet on me and started investing with me before it was remotely obvious, and we’ve been able to grow so much figuring it out together as investors. I credit Nate with helping Alt start feeling like a firm. He joined us from First Round over a year ago and made everything run smoothly. And while Vivek joined just a little while ago, even in the short time we’ve worked together he’s had a meaningful impact on how we think and invest. They’re all joining Benchmark with me. So pumped for this chapter.
689
104
3,892
1,152,572
Peter Fenton retweeted
We just launched the fastest search engine in the world. Why the AI ecosystem needs this: AI Agents now use multiple tool calls within their tasks. When the end-to-end task needs to be fast (like seconds), then any underlying web search tool calls need to be near instant. Exa Instant is on average ~180ms. It's faster than Google’s consumer search, and up to 15x faster than other search APIs. It’s being used in realtime chat products, coding agents, and voice apps. We always planned for Exa to get ludicrously fast. This required some major architectural changes to get here and optimizations at every layer of the stack (GPU kernels, TCP networking, etc). Our engineering/research teams moved mountains for this. And it's only the start. AI agents will continue to get faster each month. Web search needs to keep up. Excited to see what you (and your agents) build with instant access to the world's knowledge 🫡
Feb 12
Introducing Exa Instant: the first sub-200ms search engine. Faster than Google, it's custom built to power realtime AI products like chat and voice.
6
8
85
23,128