David Quiec

I'm bullish on the impact of the internet. Even more bullish on the impact of web-native, browser-native payments and the endless possibilities for builders around the world to build a true internet economy. Excited that x402 is now live on Stellar!

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AGI is the ability to figure things out. That's it - from blog post of Sequoia Capital by Pat Grady and Sonya Huang https://lnkd.in/gi7MXfHm

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There are plenty of AI note takers doing simple recaps, but if your commercial team is processing high call volumes weekly, transcripts sitting in folders don't help much. Claap just released a significant product update that lets you mine thousands of conversations in three clicks. They let you interrogate all your conversations through an intuitive interface, extracting patterns, insights, and actionable intelligence from what was previously an unwieldy archive. You can see how power users are already finding creative applications through the template library below. While most B2B apps are trying to build data walls around their applications, I'm excited to see Claap take the opposite approach. They organize your sales conversations and data to fuel intelligent workflows across your different applications and jobs, wherever commercial insights add value. Next week, they're launching their MCP integration to make these datasets actionable by any AI agent outside Claap's platform... More to come! Robin Bonduelle Pierre Touzeau Thomas Hernandez https://lnkd.in/dVrUwPUW

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Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs

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Had a great time joining Big Pixel’s Biz/Dev (Ep. 210) with David Baxter and Gary Voigt to talk about something I think a lot about: building AI companies in an era of AI noise. (Shoutout to Christie Pronto for making it happen!) We talked about: 👉 What “authentic” actually means when everyone is shipping AI 👉 Why the SaaS playbook is shifting under our feet 👉 Building with intent vs. chasing hype 👉 Taking full ownership when things get hard 👉 Starting from scratch without pretending you’ve got it all figured out At Scale Social AI, we’re obsessed with helping brands turn real customer moments into measurable growth, not with more AI slop. Appreciate the thoughtful questions and conversation. If you’re building (or thinking about building) in AI right now, I think you’ll enjoy this one. This is part One of Three. Link in comment below 👇

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The next wave of consumer products will revolve around one thing: taste. With vibe coding essentially leveling the playing field and greatly reducing the barrier to entry, what’s going to stand out at the end of the day is style. AI can now do a lot: read, summarize, speak, think, and it's just starting to take action through the agent layer. But one thing they can’t do is edit itself. You still need the human touch to discern good taste from bad. At the end of the day, the winners will be defined by who understands the consumer best and who knows how to make products fundamentally easier to use. Thanks for the great conversation Akash Pasricha | The Information

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