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Jacqueline Wibowo reposted thisJacqueline Wibowo reposted thisToday we're introducing Flint AI Ads Agents: we optimize your Google Ads spend for you. The agent finds what's costing you conversions, executes the fix, and learns from the results. BoomPop 10x'd conversions in 14 days. Most Google Ads accounts have the same three problems: You're missing keywords. You can't ship landing pages fast enough. You're bleeding money on bad negative keywords. Wiring Claude up to fix this yourself gets you banned by Google. Here's how Flint AI works: 1/ It pulls rich data sources and your account history. 2/ It recommends new landing pages, flags negative keywords draining spend, and more. 3/ It executes directly in your account and learns from what happens. The results so far: BoomPop ran Flint on their highest-spend campaign. It rewrote the landing page to match search intent. 5.29% conversion vs 0.53% on the original, at 18% lower cost. At Forus, it caught negative keywords quietly draining spend. At 11x, it caught competitor campaigns routing search volume to generic pages. Then it built an ad group and a bespoke page for each competitor. Flint is the trusted way to run Google Ads with agents. We worked with Google to confirm compliance with their terms. Flint Ads Agent is live today for every Google Ads account. Free for the next 7 days. Connect and optimize your spend at flint[dot]com/product/agents
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Jacqueline Wibowo shared thisSapienne first got to host Julia Chou last year as a dinner guest speaker at Octavia, where she was once a culinary extern. Loved getting to spend more time with her in our first Sapienne podcast episode with the lovely Sarah Zeng. Thanks also to my dear friends/podcast experts Pierce Freeman Richard Diehl Martinez for the help with this episode!Jacqueline Wibowo shared thisIntroducing the Sapienne Podcast: conversations with women leading the most consequential AI companies of our time. We want to go beyond the LinkedIn version of someone’s career and get to know the whole person — how they’ve made decisions, the risks they’ve taken, and the family and life experiences that have shaped them. Our first guest is Julia Chou, COO of Abridge one of the leading companies in healthcare AI. Julia joined Abridge as its first commercial hire and has grown with the company all the way to COO. Abridge’s mission has always gone beyond transcription: using clinical conversations to help reconnect a fragmented healthcare system, reduce administrative burden, and give clinicians more time with patients. We discuss: • The bold email Julia sent Shiv (Shivdev) Rao pitching herself into Abridge before there was a formal role • What helped Abridge maintain conviction through years of product development before the market opened up • How Abridge has evolved from an early startup into a 500+ person company • What she learned from Michelin-star kitchens about excellence, creativity, and one of Abridge’s values, “taste good things” • Motherhood, ambition, and raising kids in an AI-native world Watch the full conversation at the link in the comments 👇
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Jacqueline Wibowo shared thisCongrats to Rron Rexha and the Arca team on announcing their seed and Series A! Wealth management was actually my first internship ever in finance. I loved the investment recommendation side of the work, but what was truly special was the personalized experience we could give each client. Excited for Arca to bring that level of personalized service to great advisors at scale. Congrats to the team!Jacqueline Wibowo shared thisThis morning, I am thrilled to announce that Arca has officially emerged from stealth with $64 million in funding across our seed and Series A from General Catalyst, Index Ventures, and Venrock. I started Arca because of a simple contradiction: the best wealth management is deeply personal, yet the industry becomes less personal as it scales. We know great financial advisors don't just manage portfolios – they help clients navigate life's biggest, most emotional decisions. But most advisors are buried in administrative work, fragmented systems, and inefficient manual workflows, preventing them from doing their best work for their clients. We believe more people deserve personalized, proactive and efficient wealth management. And advisors deserve to focus on what they do best: delivering great financial advice to their clients. That's why Arca was born. Arca is an AI-native wealth management company that is redefining how financial advice is delivered by pairing great financial advisors with a fully integrated, agentic platform. We’re building agents from scratch across every part of the business, creating an evolving and compounding system that learns from and operates itself, and pushing the boundaries of what’s possible in one of the largest industries in the world. We're empowering advisors to do what only humans can do: cultivate trust and relationships, understand the full complexity of someone’s financial life, and make every client feel deeply seen and heard. Thank you to our fantastic team for joining this journey; we would not be here without your efforts. We're building one of the most talent dense teams in NYC, and we're hiring across the board. To our investors and board/advisors, I'm grateful for your belief and support in Arca and our vision of working tirelessly to enable better financial outcomes for people: Nat Levy-Westhead Alex Tran Nick Beim Jahanvi Sardana Shardul Shah Bill McNabb Jason Wenk Morgan Housel Peter Crawford and many more. Learn more about Arca’s story in our WSJ exclusive: https://lnkd.in/e7JwUvx7Exclusive | Startup Arca Raises Fresh $48.5 Million to Disrupt the Wealth Advisory BusinessExclusive | Startup Arca Raises Fresh $48.5 Million to Disrupt the Wealth Advisory Business
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Jacqueline Wibowo shared thisExcited to share Sapienne's first-of-its-kind compensation benchmark for AI startups. I loved working on this with my peers Amy Danoff and Aditi Poduval. We are living through an extraordinary moment to build in AI. It's our hope that transparency helps people advocate for themselves, make more informed career decisions, and participate more fully in the value they are creating. These are our early findings. If you work at an AI startup, please consider contributing anonymously to the benchmark to make this as helpful as possible for more people!Jacqueline Wibowo shared thisToday we're sharing early findings from our first ever Sapienne AI Startup Compensation Survey, based on 110+ responses across top venture-backed AI startups. Respondents who negotiated reported median bumps of: +$25K cash 🤑 +4 bps in equity ownership 📈 +$118K in equity value 🤝 We created this survey because compensation transparency in AI is still limited, and better market context helps employees make better career decisions If you work at an AI-native startup, contribute your anonymized data to help strengthen the benchmark and get the full report. And subscribe to Sapienne's newsletter for future insights like these 👇
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Jacqueline Wibowo reposted thisJacqueline Wibowo reposted thisToday we raised a $120M Series C at a $1.2B valuation, led by Menlo Ventures. We now have over $220M to become the standard for how healthcare providers transform the patient journey with AI. As a medical student at UCSF, I watched patients fall through the cracks for reasons that had nothing to do with medicine. Healthcare has spent decades improving clinical outcomes, yet patients were still repeating their story, navigating disconnected systems, and too often giving up before they got the care they needed. I couldn't accept that patients spent more time on hold than with their doctors. It felt like one of the biggest unsolved problems in healthcare. So I left to build Assort Health. Our first chapter was learning how complex each practice's care protocols really are. It took us months to build a single agent. That's why we built Synapse, our agentic model. It gets sharper with every edge case it sees, and with 190M+ patient interactions behind it, no one's model has seen more. That's what lets non-technical people build agents in weeks, even for the most complex workflows, with industry-leading automation rates. This is how we grew revenue 20x in 15 months, as leading providers chose the one platform proven to handle the complexity of healthcare workflows at scale. But this was always meant to be just the first chapter. The first interaction isn't only where care begins. It's where patient context is created. Get that right, and every step after becomes easier. Today we're a platform for the whole journey. Our AI agents answer calls, schedule appointments, manage referrals, complete intake, refill medications, reach patients proactively, and collect payments, all personalized to each patient. Grateful to Jean-Paul (J.P.) Sanday, Matt Murphy and the team at Menlo Ventures for leading, and to Lightspeed, Felicis, First Round Capital, Chemistry, Quiet Capital, and Joe Montana for backing us again. To the Assort team and my co-founder Jeffery L.: none of this happens without your relentless focus and care. Fired up to build Healthcare that Remembers alongside you. Still Day One.
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Jacqueline Wibowo reposted thisJacqueline Wibowo reposted thisToday we're announcing a $120 million Series C led by Menlo Ventures , bringing Assort Health's total funding to $222 million and our valuation to $1.2 billion. The number is a milestone. But it was never the point. Growing up, I was a patient transport volunteer. I helped people physically get to appointments and navigate a healthcare system that often didn't make sense to them. For some, simply having someone there to help made all the difference. Helping one patient get the care they needed was rewarding. But it was one person at a time. That experience has stayed with me. It's why Assort exists: to make exceptional healthcare accessible anytime, anywhere, for anyone, and to reach as many patients as possible. This funding is fuel for that mission. Every call, text, referral, form, appointment, and outreach creates context. Without Assort, context gets lost. Patients repeat themselves. Staff become the glue between systems that don't talk. Follow-ups slip. People fall through the cracks. Care gets delayed. Not because healthcare lacks information. Because it lacks continuity. What started as an AI agent answering phone calls has grown into a platform that schedules appointments, manages referrals, completes intake, proactively reaches patients, and helps healthcare organizations run the operational work for every visit. The part that matters most is that every interaction builds on the last. We call this Patient Journey Memory: turning disconnected touchpoints into one continuous conversation, so patients don't have to start over every step. Our brand film says it simply: Healthcare That Remembers. With this funding, we'll reach far more patients, serve many more healthcare organizations, keep building the product, and bring exceptional people onto the team. One full-circle detail: in the cofounder-dating questionnaire Jon Wang and I filled out before starting Assort, I wrote that building a company worth $100 million would be an incredible outcome. We've now passed that by more than 10x. It's a surreal milestone, and a reminder that the problem and opportunity are far bigger than we thought. None of this is ours alone. To the customers and partners who trusted us early, challenged our thinking, and shaped Assort: thank you. You took a chance on a young company, held us to a very high standard, and made us better than we could have become on our own. To Jean-Paul (J.P.) Sanday and Matt Murphy from Menlo Ventures and all new and returning investors: thank you for believing in our team and our mission. And to the Assort team: building AI systems in healthcare is hard. Building them in a way that patients trust and healthcare organizations rely on every day is even harder. Thank you for how much you care, how hard you push, and the standard you continue to set. We're still early. There are more patients to reach and a lot to build. That's why we're excited. Come help make healthcare remember every patient. We're hiring.
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Jacqueline Wibowo reposted thisJacqueline Wibowo reposted thisMost important metric of an event: % of conversations that result in laughter and joy ✨ This week's event at Diptyque in SF with Michaela Lalanne Albrecht, Annie Fu, & Jen Flores from Colliers scored very highly 💥 Thank you Adel Wu for capturing the moments 💜
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Jacqueline Wibowo reposted thisJacqueline Wibowo reposted thisLaw is AI's next trillion dollar frontier. Today's models can remember legal facts, but they lack judgment. They'll read a statute or summarize a case, but can't tell you whether a clause is too aggressive or a risk is worth taking. The senior partner's taste, style, and ability to blend facts with circumstances is exactly what you pay them for. And why it's so hard to measure and teach. So today, we're launching Crosby Intelligence, to push the frontier of legal AI forward. We’re announcing 3 things: 1. RedlineBench with micro1: a benchmark for how frontier models handle complex, real world contract negotiations* 2. The Crosby Intelligence Research Fellowship: funding two Fellows pursuing frontier research with support from OpenAI - $25K & $12.5K Codex credits each 3. Hosting the most interesting conversations in applied AI at our SoHo office, featuring Parag Agrawal, Rahul Sengottuvelu, Peter Henderson, Neel Guha, Peyton Walters and more So how close are frontier models to being able to do real commercial legal work? We benchmarked frontier models on realistic contract negotiations (built externally with zero client data). Rather than individual edits, we focused on the full sequence of judgment calls a lawyer makes across a deal. No model is close, and there are no standout winners yet. The most interesting result from the benchmark is that every model is weakest on the opening move. You can read the full benchmark at the link in the comments.
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Jacqueline Wibowo shared thisCongrats Thais Castello Branco and team!!Jacqueline Wibowo shared thisWe’re excited to introduce Taste Labs. Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste. And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by Amplify Partners and CRV. AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design. There’s two sides to cracking this: the foundation model layer and the agent layer: - We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments. - We’ve also been working with app layer companies to build the context and verification tools for agents to produce better, more on brand, more creative outputs. We want a future where AI feels right. Not one where it’s just ‘technically correct’. If you’re as passionate about this mission as we are, join us! ------ We’ve also been lucky to partner with other amazing folks on our funding, including BoxGroup, Banter Capital, Latitud, Gokul Rajaram, Sabrina Hahn, Logan Kilpatrick, Cristóbal Valenzuela, Barry McCardel, Linda Tong, Akshay Kothari, Nicole Ripka, Kyber Knight Capital, Tim Shi and many more incredible angels!
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Jacqueline Wibowo liked thisJacqueline Wibowo liked thisSonic-3.6 is now generally available. In January we made a bet: stop tuning the existing paradigm, rebuild from the architecture up. How we topped our own best model in two months → https://lnkd.in/gDeqGu4d
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Jacqueline Wibowo liked thisJacqueline Wibowo liked thisTwo years ago, I joined a venture firm with zero dollars raised and no CRM, it was mostly a paper napkin idea. But I instantly knew I wanted in. Fast forward to today, and we are announcing $200M in our Fund II after our initial $150M Fund I. There's something clarifying about building from scratch alongside people who've operated at scale. Mike Gamson and Jason Duboe have seen what building GTM looks like from the ground up and planted the flag for Permanent Capital Ventures around a specific bet: that technical founders deserve a boutique partner who takes the transition from founder led sales to scaled GTM seriously. Not as an afterthought. As the whole game. Because we believe that distribution will define enduring companies in an AI-native world. None of this happens without the entrepreneurs who trusted us early. Vishal Sankhla, Anshu Jain, Diane Yu, Ganesh Ramakrishna, and the teams at Outmarket AI, Tidalwave, and Lyric -- you took a bet on us before anyone could recognize our name. And thank you Joseph Floyd for making the introduction. Grateful to everyone in our orbit supporting us to get this fund launched. 🚀
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Jacqueline Wibowo liked thisJacqueline Wibowo liked thisWe've spent the last two months cooking. Keep your sound on tomorrow ↓
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Jacqueline Wibowo liked thisExcited to pull back the curtain on what powers all our post-training and inference engagements today. Post-training shouldn't be a bespoke research project every time - it should be a repeatable, engineered process.Jacqueline Wibowo liked thisToday, we're introducing AC2, the Applied Compute Agent Cloud, to enable every team to train, serve, and improve their own frontier models. AC2 turns post-training into a repeatable, engineered process. Use your own harness to train up to multi-trillion-parameter models with all the latest research techniques. Ari, our research agent, monitors training, reads traces to find failure modes, analyzes results, and turns insights into better data, graders, and experiments. When you have the right checkpoint, deploy it to production with AC2 inference: dedicated, low latency, and 99.9% uptime all while preserving the configuration used during training. The most useful data comes from real user interactions, feedback and traces. With self-distillation, your model can learn from production traces even when the original environment can’t be replayed. Over the last six months, AC2 has powered our Applied AI team’s work for Microsoft, NVIDIA, Cognition, Harvey, DoorDash, and others. Now, we’re excited to empower every AI team with their own model factory.
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Jacqueline Wibowo liked thisNvidia and Apple both taught me to love efficiency! But at Sail, we like to be frugal with machines and generous with our people :) see sailresearch.com/careers for what life is like here! Thanks Patrick for a wonderful conversation! It was a delight to talk through the full intelligence stack, from power to agents. You and the ILTB team run a tight ship!Jacqueline Wibowo liked thisAfter 2008, Nvidia cut back on perks. They got rid of free lunch and even free milk. If you wanted milk in your coffee, you had to pay $1 a month to join the “milk club,” which stocked the fridge with Costco milk. Neil Movva remembers it as one small example of the frugality that permeated Nvidia when he worked there on GPUs and kernels. Neil has an unusually deep understanding of inference, from software to chips to power. We spend a lot of time on each of those layers, how they connect, and where the important tradeoffs are. What makes this conversation special is how detailed it is (like a 401-level class), yet Neil makes it remarkably clear and easy to follow. Today he runs Sail Research, a company building infrastructure for agents to make tokens as cheap as possible. We discuss latency versus throughput, why there are no bad chips only bad pricing, buying chips and power nobody else wants, Nvidia, open source, and the economics of the frontier labs. I learned a ton. Enjoy! https://lnkd.in/gp4gZvDnEx-NVIDIA Engineer: Why AI Is About to Get 1000x CheaperEx-NVIDIA Engineer: Why AI Is About to Get 1000x Cheaper
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Jacqueline Wibowo liked thisJacqueline Wibowo liked thisWe're growing the bizops team at Cogent! If you're excited about: > Getting a first hand look at what it takes to build a company from scratch > Being constantly challenged to solve chaotic problems > Learning to build with all the newest technologies > Working with people who are somehow smart AND kind You should come talk to me. Victoria Lin Vineet Edupuganti Geng Sng Thanos Baskous
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Matt Logan
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