Sam Liang

This morning at @kleinerperkins, @johndoerr said:"I told my daughter to use Otter, she likes it", then said to people in the room:"Otter is a great product... Is everybody comfortable to Otterize this meeting? Ok, let's Otter it!" Great to have John as a big user/fan of @otter_ai

Otter is now available in @glean. Your meeting notes, summaries, and action items: finally part of the picture 📷 Learn more ➡️ bit.ly/4aSlmd2

Otter x @salesforce 🤝 Connect Salesforce to Otter to pull live CRM data during calls and push meeting insights back to the right account after. Learn more ▶️ bit.ly/4vEnwFB

@vkhosla Athletes have the safest jobs. People will always want to see humans play the World Cup , not robots.

We don’t as humans watch us race against cars or watch humans play chess against computers, competition will always be about humans against human performance. Authenticity of human performance and provenance will be in even more demand

@TimDraper @DraperVC Congrats @TimDraper! When most VCs thought our ideas were too crazy/weird, Tim saw huge potential, invested @otter_ai, now the biggest AI Meeting Assistant product and is now building the first Conversational Knowledge Engine. Thanks Tim for your support in the last 16 years!

I am so proud to announce the launch of DA8, another $300M we are putting to work into disruptive early-stage founders! 41 years in, and I love the job more every day. We relaunched @DraperVC 12 years ago. Since day one, we have continued to back founders who are willing to sound crazy. The ones who look at a broken industry, that hasn't been innovated on in 20+ years, and say, "I'm going to fix that, no matter what it takes." Over the history of Draper, we have been the first VC in companies like @Tesla, @SpaceX, Hotmail, @Twitch, @Skype, @Baidu_Inc., Bitcoin, @Coinbase, @Robinhood, @Oklo, @Polymarket, @XanaduAI, @iceye_global, @Colossal, and the list goes on. I remember the first time I met every one of those entrepreneurs, and the hundreds more we have funded over the years. At Draper, we look forward to funding more entrepreneurs who build unicorns and trinocorns (trillion dollar companies). What I've learned after four decades is simple. The greatest founders are those who feel that they have to do what they are doing. It was pre-ordained. Getting to help them and fund them early is the privilege of my work. To our new Limited Partners: we appreciate you for working with us on this important mission. We know it is only the boldest LP that sees the investment world as we do. To the founders coming to pitch us for DA8: we cannot wait to see the future you create. And to anyone building something the world isn't ready for yet, keep going. We are looking for you. Here's to DA8.

@levie Probably more than 80% of the context is generated in thousands of meetings in enterprises every day. Yet most of that context is lost or not shared with the people/agents who need it. That’s why we at @otter_ai is building a meeting context layer for enterprises.

The main variable in getting success with agents is whether you can get the agent the context it needs to do its work; and a major factor in that is if you can create a shared working area for that agent that a human can understand as well. This is one of the reasons why agents using file systems is such a big deal. It creates a unified system that both the person and the agent can work within to pass around data. “What they need is a working set: plans, notes, task lists, policies, drafts, summaries, logs, corrections, decisions, etc. For that layer, a filesystem-shaped interface tends to be more legible to both the model and the humans supervising it.” It turns out giving agents access to the systems we already know how to use, but in a way that is best optimized for them, is the perfect primitive for agents to work.

@a16z This is why we started @otter_ai and aimed to record everything in the world, and turn that into a Conversational Knowledge Engine that drives enterprise workflows. Not sure your chart is accurate -- Otter's app downloads and new user signups are way higher.

Most work conversations are now being recorded by default. You should probably assume that everything you say at work is getting recorded from here on out. What’s emerging is a new category of enterprise software, organized around voice instead of text. The system of record today is structured data: CRM entries, tickets, docs. But the highest-value context lives in conversation: the nuance on a customer call, the real argument in a product review, the offhand comment in a leadership meeting that quietly changes the roadmap. LLMs are uniquely good at taking that unstructured voice data and making it structured, searchable, and queryable. That’s a large enterprise opportunity, and we’re still early in understanding what the software layer looks like and who owns it. a16z GP David Haber on what AI recording means for the future of work: a16z.news/p/everything-i…

Happy #WorldOtterDay! To celebrate, we're partnering with @wildnetorg's Sea Otter Fund. Today through Friday: save 20% on Otter Pro Annual with code OTTERDAY and we'll donate 20% of the net value of your order to WCN's Sea Otter Fund, which works to protect wild sea otter populations along the Pacific Coast. Two ways to make today count: 🔵 Get Otter Pro → bit.ly/4dOhhqT 🦦 Learn about WCN's Sea Otter Fund → seaotterfund.org

@rohanpaul_ai "Recording all the meetings" , this is what what we have been advocating since 2016. It has been considered creepy and crazy. Glad @reidhoffman agrees with us now. That's what @otter_ai 's Conversational Knowledge Engine is for. See businesswire.com/news/home/2026…

Reid Hoffman, co founder of LinkedIn on AI-driven meeting analysis. "Basically every organization should be saying, we're recording all of our meetings, and we're running an AI on the recording of the meetings, not just for the transcript, but also to do all of the suggested follow-ups. It's like, hey, did you mentioned this, you should probably let Nikolai know and make sure that that's the case, or, you should make sure that you get approval from Satya on the following thing, or this other group is doing this. All of that kind of thing is already here the technology is there to go." --- From "Norges Bank Investment Management" YT Channel (link in comment)

We invented the AI meeting notetaker. Now we're creating the next category: The Conversational Knowledge Engine. Now, your ever-expanding meeting history gets brought to life in every AI tool you use. Think of it as a system of record for what your people in your organization actually say. Except it doesn’t just store it, it puts it to work across every AI tool you already use. Pull live data from Notion, Jira, Salesforce, or Gmail directly into Otter. Push summaries out the moment a call ends. And because Otter acts as an MCP server, Claude and ChatGPT can securely tap into your entire conversation history as live context. Your meetings don't stay locked in a notetaker anymore. They power every AI tool you use informing every decision your company makes. 🔗 to press release ➡️ bit.ly/4cPUkD3

I'm going to speak at @HumanXCo in San Francisco on Tuesday about AI and SaaS Pocalyse. Hope to you there!

Most people forget that most of the enterprise knowledge context is generated in meetings: sales, marketing, product management ... The biggest opportunity here is to let agents join all the meetings, get the context, and execute the tasks in real time. That's what we are enabling at @otter_ai

The big gap in most enterprises being able to automate work is being able to get right context to the agents. We experience a huge benefit in coding in tech because the problem is generally far simpler than other areas of knowledge work. The codebase contains a bunch of necessary context, access controls and permissions are generally not a major concern, the users are technical enough to supply the context, and the final output is generally quickly verifiable. Most knowledge work doesn’t look like this. The data is sitting in legacy silos that don’t easily connect to agents, the access controls are all out of whack (people have either too much or too little access), the information isn’t agent-ready, and more. This is the big context gap for any type of agentic workflows in most organizations right. The platforms that make solving this easy, and the companies that retool their workflows to enable this, will be the winners in a world of agents.

🎙️ We're thrilled to welcome Kenny Scannell as @otter_ai's new Chief Revenue Officer! Kenny brings over 20 years of experience scaling global revenue organizations - most recently tripling year-over-year growth at @RocketlaneHQ, and before that, leading Marketing Solutions at @Zoom. He joins at an exciting moment as voice becomes one of the most powerful interfaces for AI, and every conversation holds knowledge that organizations can capture, analyze, and act on. Welcome to the team, Kenny! 🚀 Read the full announcement: bit.ly/4lrxwgM

@Goopt @NYSE @GemmaAllenSays @johnfurrier @SiliconANGLE @theCUBE Full interview: youtube.com/watch?v=EnJ1If…

@otter_ai Co-founder and CEO @Goopt was on the @NYSE trading floor yesterday! 🏙️ 📈 Sam joined @GemmaAllenSays and @johnfurrier on @SiliconANGLE @theCUBE to discuss Otter's evolution into a meeting-centric enterprise knowledge base with voice AI and agentic workflows at the core. Thanks to @bjbaumann2014, Gemma, John, and the NYSE team for having us!

@briansolis @otter_ai Thank you Brian for writing this great book!

Love this, Sam (@Goopt)! 🤩 Thank you for sharing and thank you for building @otter_ai! 🙏

@lessin In addition, if an AI chatbot can skillfully ask the right questions interactively, like a good coach or a good therapist, it can help the speaker to best describe what she needs to get done.

@lessin Agreed. Everyone has writer's block. But everyone can start talking instantly. Talking is the easiest way to express an idea. Even though talking and speech are not as precise as writing, because it's so easy, people can iterate and fine tune their expression quickly.

Written AI prompts can't be the future... because most people are terrible writers

米議事録AIのオッター、日本語版を開始　「英語で95％」の精度生かす nikkei.com/article/DGXZQO…

Why @otter_ai is one of @JohnMBarrows' favorite tools in one minute 🕛 👏🏼

Building a startup is like running a marathon. I run marathons to build startups. Last week, we launched the @otter_ai Enterprise product suite. Then on Sunday, I ran the hashtag #ChicagoMarathon 2025, my 10th marathon. Despite the pain, it was an amazing feeling to run through the beautiful Chicago streets in front of nearly two million spectators cheering for you. Jensen Huang of @nvidia said that he searches for hard problems, solves them, then tries to forget how difficult it all was. “It must be the feeling that marathoners go through … the entertainment value of pain and suffering can’t be understated.” This is why we build startups. Otter will go the distance.