Tammy Han
San Francisco, California, United States
6K followers
500+ connections
About
I build teams for early-stage startups.
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6K followers
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Tammy Han shared thisLooking for a Brie Bastidas 2.0 :)Tammy Han shared this🚀 ✨ Calling exceptional SF Heads of Talent / Technical Recruiting Leaders ✨🚀 I’m working with a company that I believe will define the next decade. This is the kind of opportunity that becomes a career-defining, hundred billion dollar outcome. They’re operating at a rare level of velocity and already pulling in some of the strongest engineers out there. The bar is exceptionally high, the pace is fast, and the ambition is genuinely massive. They’re looking for a founding talent leader to act as a true force multiplier. Not just running recruiting, but shaping the team that builds the company. This is for someone who: • Has scaled technical recruiting in a high-performance environment • Knows how to attract and close top 1% engineering talent • Thinks like a builder and operator • Wants to be in the arena, in-person, with a team moving fast If you’re looking for a role that compounds your career, this is one of those. I’m keeping details limited, but happy to share more 1:1. DM me if this is you, or if someone comes to mind!
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Tammy Han reposted thisTammy Han reposted thisIf you haven't used AI to build something for yourself, you are behind. I don't care if you code or not. I shared this at a company all hands last week. The CEO asked me what separates the companies winning right now from the ones falling behind. Velocity. And the companies with the highest velocity are the ones where almost everyone is building agents. Not reading about them. Not stressing about them. Building them. Case in point: Genspark. It's an AI productivity tool, kind of an everything app for AI. In the last 11 months, they've gone from $0 to $200M in annualized revenue. With 50 people. For context: Veeva hit $1B ARR in 12 years. Zoom did it in 8. But high velocity AI-native companies like Together.ai and Genspark are building at an almonst inconceivably faster pace. A big reason they move that fast? They all use their own tool constantly. The CEO gets a text with an idea and it's in the product the next day. Not queued for Q3. Shipped and tested. The other thing I told the room: if you're still selling a tool that helps someone do something, that's probably not good enough anymore. Your buyer might build it themselves. Or they might not have a job anymore. You have to move from selling tools to selling outcomes. But here's what I really wanted the team to hear. Everyone in tech feels some version of AI anxiety right now. It's real. I feel it too. And I gave them two pieces of advice for navigating it: 1. Find something that makes you feel embodied. Workout. Hike. Garden. Paint. This stuff is so abstract and non-physical that you need a counterbalance to stay grounded. 2. Run toward the tools, not away from them. I find doom scrolling about AI to be the most stressful thing. Actually building with these tools is the opposite. It takes AI from this abstract force that's happening to you and makes it concrete. You go from being passive to being in control. The shift from abstract to concrete is everything right now. For your product strategy. For your team's morale. For your own sanity.
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Tammy Han reposted thisTammy Han reposted thisWe're building building out our Finance organization at Bedrock. This will be an incredible role with end to end visibility across our company. Please reach out or apply if you are interested in helping us achieve our ambitious vision. https://lnkd.in/gadwyKBu
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Tammy Han reposted thisTammy Han reposted thisThe Emergence Capital partners have spent the past 3 years in the trenches with over a dozen founders building AI-Native Services. Now, we're sharing what actually works. AI-Native Services (AINS) flip the model: you don’t sell software, you own the outcome. They use AI with a human wrapper to deliver services better, faster, and/or cheaper than incumbents. And the best ones are doing it at 50%+ gross margins vs the 20% typical of legacy service providers. But building an AINS company isn't easy. Strong revenue growth and solid retention can make it look like you have PMF when you're actually just running a human-powered services firm financed with the wrong kind of capital. We've invested in the early pioneers of this category, mapped the market, and worked closely with founders inside and outside our portfolio to document what actually works. The Spring 2026 AINS Playbook is the culmination of that work. It covers 9 aspects of building a great AI-native service: team, product-market fit, delivery, product roadmap, GTM, pricing, defensibility, metrics, and M&A. A lot of the lessons look nothing like how you'd build a SaaS company, and many are counterintuitive. Like why the best AINS companies are deliberately turning down customers. Or why you still need a killer demo even though the customer never touches your product. We're putting the final touches on it before GA. For early access, comment PLAYBOOK and I'll send it your way.
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Tammy Han reposted thisTammy Han reposted thisCongratulations to Yazan "Yaz" El-Baba on being named to The Information's Venture Capital Rising Leaders list for 2026! Yaz is a rare combo of fiercely competitive and fiercely collaborative that allows him to go deep with the founders he works with. Sometimes deep enough to discover a shared love of jiu-jitsu. It’s an honor to work alongside Yaz every day, and we’re proud to celebrate his trajectory as a leading investor alongside so many other incredible names honored on this year’s list: https://lnkd.in/gTvmCPgA
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Tammy Han shared thisIt's exciting being on a team that is investing in interesting companies. It's more exciting when said team has meaningfully adopted AI into their core workflows and to see the gains in productivity, automation of manual tasks, and job satisfaction. Very grateful to have access to a suite of AI agents that our team has built internally at Emergence Capital and to hear various members of the team request more capacity from our Head of Technology (Joshua Kirkes) because they've already exceeded the weekly limit, vibe-coding their own apps to make a painful workflow better. And these aren't people with technical backgrounds ;) Pumped to share that we're now hiring an AI Engineer to take what we've been vibe coding and turn it into production-grade systems that will help us do venture better. Someone who is self-directed and is excited to build the tools that change how we identify, invest, and help support our portfolio companies. If you (or someone you know) is an AI-native builder who wants to work at the intersection of AI and venture in our SF office (and work with an awesome, friendly team), learn more here: https://lnkd.in/gkG2xhES
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Tammy Han reposted thisTammy Han reposted thisThe market for strong technical recruiters is quietly on fire. That’s because the best recruiters are concentrated in places where their impact is diluted. Big labs are stacked. Huge recruiting teams, elite brands, endless inbound. In that environment, recruiting becomes a game of optimization. You’re tuning a machine that already works. You can make it faster, cleaner, more efficient, but you’re rarely changing the outcome in a meaningful way. Early stage companies are the opposite. At seed and Series A, recruiting is still the choke point. One exceptional technical recruiter can set the hiring bar, shape the first real engineering team, and directly determine whether the company compounds or flatlines. There is no margin for “good enough.” This is where recruiting stops being a function and becomes a force multiplier. The recruiters who choose comfort right now will optimize. The ones who choose ownership will define companies. Don’t inherit a system, build one. That is where the next generation of exceptional recruiting leaders will be made. (kudos to Nolan for the post that sparked this)
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Tammy Han reposted thisTammy Han reposted thisI've gotten to spend time over the past year with some of the most forward-thinking investors in the world, learning where AI is meeting their needs and where it isn’t. All of these firms know they need to drive AI transformation on a fast timeline. But, as one put it bluntly: “All these AI tools are only as good as the data you feed them, and ours is a mess.” This may be true, but their data also represents decades spent building proprietary knowledge that codifies how they think, operate, and win. It just happens to be scattered and fragmented across many systems. The real challenge is scaling this edge to make faster, sharper decisions. There's no quick-win alpha. That's why we built Rowspace—launching today with $50M from Sequoia Capital, Emergence Capital, Stripe, Conviction, Basis Set, Twine Ventures, and many others. What we do: -Map firm data comprehensively—memos, decks, models, ledgers, positions, etc. from systems like Salesforce, DealCloud, Box, Egnyte, SharePoint, Everest, Dynamo, Snowflake, PowerBI, and more. We do this in our customers’ environments for maximum data security. -Model how they actually work—reconciling conflicts, deciding what to trust, what to prioritize, what to ignore. We extract meaning and make it available on demand. (It's one thing to recall an answer from a database. It's another to know which addbacks apply to an EBITDA calculation based on a specific credit covenant.) -Push that intelligence into the tools where decisions happen—chat, real-time dashboards, Excel, Teams, wherever you already work—with full traceability down to the calculation. We're already working with some of the most storied firms in the industry: a global growth pioneer with 50 years of history, a crossover fund invested in the most notable tech IPOs of the last decade, and one of the leading credit originators in the world. They chose Rowspace for the depth, nuance, and specificity we’re able to deliver. Try Rowspace if your firm wants to accelerate with AI in ways you can trust. Or come build with us if you want to build at this level of depth for customers shaping our economy.
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Tammy Han reposted thisFeels like we’ve been working together for five years but so excited it’s official! Jake Saper has always been one of the sharpest thought partners I've had (as evidenced by this post) and so grateful he and the Emergence Capital team co-led our A. https://lnkd.in/grJ6dpacTammy Han reposted thisI'm thrilled to announce Emergence Capital is co-leading Rowspace's Series A alongside Sequoia Capital, with $50M in total funding. For 5 years, Michael Manapat and I have been taking long walks around our neighborhood in Noe Valley, brainstorming problems worth solving. We kept coming back to one: the most valuable data in finance—decades of proprietary deal history, memos, models, and institutional judgment—is trapped in systems that were never built to talk to each other. And no amount of AI layered on top fixes that if the foundation is broken. Rowspace is building the solution. They do the hard work that everyone else skips. Before shipping AI agents, they unify and structure a firm's entire proprietary data history, both structured and unstructured, so AI can actually reason over it with the rigor finance demands. Firms managing hundreds of billions in assets are already using Rowspace because generic AI tools couldn't deliver the accuracy their decisions require. Previously, Michael was head of ML at Stripe and CTO/CPO of Notion. His co-founder Yibo Ling is a two-time CFO who's lived the exact data fragmentation problem they're solving. At Emergence, we back founders with lived experience tackling enterprise-scale problems. Michael and Yibo are the definition of that. Also: Michael loves cats. His wonderful wife Mollie Javerbaum is less of a fan, so I got him the next best thing. Welcome to the Emergence family, Michael, Yibo, the entire Rowspace team...and their robot cat. 😺
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Tammy Han liked thisTammy Han liked thisThe best engineers I know don't just want a job. They want to build something that matters, with people who push them. That's exactly what we have at Hanover Park I've been in talent for 17+ years. I rarely say this: the caliber of people here is different. Zero ego. Relentless owners. People who care about the details as much as the big picture. And we're looking for more of them. We're an AI-native ERP for fund administration - $15B in assets, Series A, backed by Emergence, Lux, and Susa. The product is real. The traction is real. The team is exceptional. If you're an engineer who's been waiting for the right moment to bet on yourself This is it. DMs open. Let's talk. #hiring #fintech #softwareengineering #teambuilding
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Tammy Han liked thisTammy Han liked thisJust got back from our Notion design off-site, and I keep thinking about one thing: Even though we spend most of our time embedded in our own product pods, it didn’t feel that way at all. It felt like reconnecting with a group of old friends—people who share the same challenges, values, and care deeply about the craft. What stood out most was the level of thoughtfulness across the team. Everyone approaches design with intention, kindness, and respect for each other’s perspectives. That combination—deep trust + high standards—is rare. And it’s what makes this team special.
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Tammy Han reacted on thisTammy Han reacted on thisWe're thrilled to welcome Attorney Nathan Kingery to Laurel Employment Law! Nathan Kingery represents employees in complex and high-stakes workplace disputes involving wrongful termination, discrimination, harassment, retaliation, and whistleblower claims. Nathan is known for his strategic, results-driven approach to employment litigation. He combines strong advocacy with disciplined case development to position matters for successful resolution, whether through negotiation, mediation, or litigation. Over the course of his career, he has helped recover substantial compensation for his clients, securing multiple eight figures in settlements across a wide range of employment matters. He has experience handling all phases of litigation, including discovery, depositions, trial, arbitration and settlement negotiations. While fully prepared to litigate aggressively when necessary, Nathan is also a skilled dealmaker who focuses on achieving meaningful, practical outcomes aligned with his clients’ goals. Before entering the practice of law, Nathan worked as a professional sports agent, representing athletes across North America, South America, Europe, and Asia. He negotiated contracts and opportunities for players competing at high levels, including the NBA Summer League and NBA G League. This experience in high-level negotiations and competitive environments continues to inform his approach to advocacy and dispute resolution. Clients value Nathan for his responsiveness, sound judgment, and ability to deliver clear, practical guidance throughout the legal process. Nathan earned his J.D. from California Western School of Law and his B.S. from Arizona State University. Nathan was selected to the Super Lawyers Rising Stars list in 2025 and 2026.
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Tammy Han liked thisTammy Han liked thisThe most consistent pattern I see across enterprise AI right now: the product gets bought, then it sits. It's because nobody in the customer's organization trusts it enough to actually change how they work. The demo convinced the buyer, but the deployment never convinced the user. Vinoo Ganesh and John McRaven at Kepler just published an essay that finally names why. The FDE was always the trust layer, the engineer in the room who could show you exactly why something failed and exactly what they changed. That transparency was the product as much as the software was. AI removes that transparency. Outputs fail in ways nobody can fully trace. The FDE is still there, still accountable but now they're explaining decisions the system can't articulate; which is an infrastructure problem. Mantis Venture Capital invested in Kepler because I think it's solvable. Teams that build real traceability into AI deployments will finally close the gap between "bought" and "adopted." Worth reading, link in comments 👇
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Tammy Han reacted on thisTammy Han reacted on thisGreylock Partners and Mantis Venture Capital are co-hosting "The New Threat Surface: What CISOs Actually Want Founders to Build" on May 20th in SF. Moderated by our very own Alex Pall! This is not your typical security panel. CISOs have become the most important buyers in enterprise AI, and most founders are still guessing at what they actually want. We're fixing that. On the panel: → Bruno Kurtic - CEO & Co-Founder, Bedrock Data → Nicole Jiang-Gibson - CEO & Co-Founder, Fable Security → David Tsao - CISO, Notion May 20 | 4:30–6:30 PM | San Francisco Very few seats left. If you're building in security or AI infrastructure, or a security leader figuring out what's actually worth buying right now, please DM me for the link.
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Tammy Han reacted on thisTammy Han reacted on thisAs we wrap up Q1, I wanted to thank the EPD team for a phenomenal quarter. We landed 60 projects this quarter, closed 372 on-call tickets (147 of them were code fixes), made 7 new hires, and paid down a long tail of technical debt. Across the platform in Q1 we saw: 6.14M emails sent, 2.57M sequence enrollments, 8.44M AI research runs, 24.8M web events ingested, and 54.4M play executions off the 7,521 plays created during the quarter. We strengthened the platform across the board. Sales reps' day-to-day got better since shipping role classification, notes, spintax, sequence upgrades, one-off tasks with due dates, phone management, and more. Automation got more powerful and better connected with our new Data API, webhook actions, sequence rulesets, and filters v2. Last but not least, foundations and ops got tighter with lots of improvements and optimizations across our infrastructure. Thank you to everyone in EPD and all the pods for bringing the fire and setting a strong trajectory for the year, I am stoked at what we have in store for Q2!
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Tammy Han liked thisTammy Han liked this✈️ From Boston to Colorado Springs. When Mitul Parmar first told me about Safeguard, he said it would be a conference with a lot of smart fraud practitioners. I said, “Sign me up.” Casap was proud to come on as the first sponsor. Now that I’m here, I’ve realized that being in such a beautiful place makes a difference. I woke up at 6:30 AM for a sound bath and actually felt more relaxed. People are energized. They are excited to talk about their craft. There’s something special about having those conversations with a view of the mountains. I came here to lead two sessions on Agentic AI in Disputes: Solving the $100B First-Party Fraud Problem. And I was proud to share new information about first-party fraud and how AI agents can solve some of the hardest parts of this work. But I’m leaving even more grateful for how much I learned about lending, specific fraud attacks, and what fraud practitioners at banks and fintechs are seeing every day. That learning helps us build smarter AI agents and do more for our clients. Other moments that stuck with me from this conference: ✨ Bumping into my friend from college and catching up on all things life and what it’s like to build product in risk. So great to see you Kunal Shalia! ✨ Catching up with some of the folks I talked to in the very first months of Casap to get their expert take on what we were building. Nicholas Oliphant, Tealee Hinger, Dan Himmelstein so nice to hang out. ✨ Leading conversations on what agentic AI can do for disputes with Jason Brown as a customer advocate and more importantly, my friend. ✨ Running into Flora here in Colorado Springs, less than a week after moderating a panel with her at New York Fintech Week. What a small world. I go to a lot of conferences, and the serendipity of those connections remains my favorite part. When you get to do that with a gorgeous view? It’s just that much better. A great first conference, can’t wait for many more Mitul, Matt Middleton, and team.
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Tammy Han reacted on thisPathAI has entered into a definitive merger agreement to be acquired by Roche, accelerating their leadership in digital pathology and AI-driven companion diagnostics. Congratulations Andrew Beck, Brandon Eldredge and PathAI team! Biospring Partners, Michelle Detwiler, Socrates Zacharias, Jordan Feyko, Matt McBryan, Sidhart NambiarTammy Han reacted on thisWe are excited to announce that Roche has entered into a definitive merger agreement to acquire PathAI, a pioneer in AI-powered digital pathology. This is more than a business milestone, it is a leap forward for #PersonalisedHealthcare. By adding PathAI’s best-in-class Image Management System (IMS) to our diagnostic portfolio upon closing, we will: • Increasing Efficiency: Streamlining workflows through AI-driven automation to deliver faster, more consistent results for patients. • Accelerating Discovery: Using advanced AI to find new biomarkers and develop novel diagnostic tools. • Empowering Physicians: Providing deeper insights to help doctors tailor cancer treatments to the individual patient. We look forward to bringing together our capabilities and experience to improve patient outcomes worldwide. Read the full announcement: https://spkl.io/6045A7u6l #Roche #DigitalPathology #Diagnostics
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Tammy Han liked thisTammy Han liked thisI am going to finally say it. Founder-led hiring alone won't scale, and holding onto it too long actually hurts your company. In our early days, hiring was 100% founder-run. Ishan and I personally handled every step first calls, case studies, final on-sites. We’d spend 6–8 hours per candidate, getting to know them deeply. At that stage, it was the right call. These were the first people on the team. We worked with them every day, and a single bad hire could derail everything. But as the company grew, this process quietly became a bottleneck. Over the last year, we made a deliberate shift away from fully founder-led interviews. We brought in our founding recruiter, Farron, to run initial screens, while functional interviews are now owned by team members in engineering and sales functions. Ishan and I usually only step in during the final round. This change allowed us to run dozens of final-round interviews every month without compromising quality. As more people got involved, we invested heavily in interview training, coaching, and aligning on what “the bar” actually means. Turning instinctive founder judgment into a shared standard took work across Juicebox. The lesson for us has been that founder involvement is critical early on, but scaling hiring means turning judgment into process that doesn't lower the bar.
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Education
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University of California, San Diego
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Activities and Societies: UCSD Speech & Debate, Warren Briefs college newspaper, WAVE (Warren Association of Volunteering Enthusiasts), Mock Trial, UCSD Lead Center, UCSD Civic Engagement Coordinator, UCSD Cares, College Republicans, COASt, VOICE forum, Sigma Kappa sorority
Double Major in Cognitive Science (HCI), Minor in Linguistics: Spanish. Studied abroad in Alcala de Henares, Madrid, Spain in an Intensive Language Program
Awarded UC San Diego's Provost's Honors Award for Academic Excellence, 2008 -
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Licenses & Certifications
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Chinese
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Spanish
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Hebrew
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8 people have recommended Tammy
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Refery
🔥 These are the hottest early-stage startups in #California that recently raised funding. And yes, they’re #hiring. If you’re looking to join breakout companies early, this list is for you. #startups 🤝 Findem AI-driven talent acquisition platform for identifying & engaging candidates 💰$36M 💳 Monnai Global consumer insight infrastructure for fintech 💰$12M 🧠 TrueFoundry Unified AI platform with enterprise-grade LLM, MCP & Agent Gateway 💰$19M 💻 Kilo Code Open-source AI coding assistant for generation, debugging & documentation 💰$8M ⚛️ General Matter Nuclear energy company producing enriched uranium fuel 💰$50M 📦 Coverbase AI-native procurement platform automating vendor intake & contracts 💰$16.5M 🤖 Simbe Automation solutions for shelf auditing & analytics 💰$50M 📊 Chalk AI inference data platform to operationalize machine learning 💰$50M 📈 Hyperbound AI sales coaching & role-play platform for revenue teams 💰$15M 🧑💼 Censia AI AI talent intelligence platform providing skills data & insights 💰$48M 🚀 Iterate.ai Enterprise AI platform for fast development & innovation 💰$6.4M 🌿 VERSES Cognitive computing company building nature-inspired intelligent systems 💰$2.65M CAD 🏭 Kargo Industrial AI optimizing warehouse logistics 💰$42M 🩺 Sully.ai Autonomous AI agent operating teams for health systems & platforms 💰$21.83M 📊 Larridin, Inc. Independent AI measurement platform for usage & impact 💰$17M 💻 Simple AI AI assistant development platform 💰$14M 🔐 Virtue AI AI security & compliance platform for applications 💰$30M 🛡️ AiStrike AI-powered automation for security investigation & response 💰$7M 🎬 Rembrand In-scene media & virtual product placement platform using AI 💰$37.5M 🤖 HappyRobot Operating system for managing AI workforce & business automation 💰$44M 🗄️ Firecrawl API service for designing structured data integration 💰$14.5M 📊 Nixtla Forecasting & anomaly detection platform for time series data 💰$16M 🔗 Arcade.dev MCP runtime connecting AI Agents securely to APIs & enterprise systems 💰$12M 🏥 Plenful No-code workflow automation & AI platform for healthcare 💰$50M 📄 PandaDoc Top-rated solution for document creation, management & eSigning 💰€5M 📣 Tofu Multichannel B2B marketing campaign generation platform 💰$12M 💡 Like & repost to help your network discover amazing opportunities. 🔍 At Refery.io, we connect these startups with 𝘃𝗲𝘁𝘁𝗲𝗱 𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗿𝘀 — 𝘁𝗼𝗽 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀, 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀, 𝗮𝗻𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 — who refer the best talent from their own networks. 🚀 Hiring? → Join Refery.io to access 𝘁𝗼𝗽 𝘁𝗮𝗹𝗲𝗻𝘁, 𝗳𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗮𝘁 𝟴𝟬%+ 𝗹𝗲𝘀𝘀 𝗰𝗼𝘀𝘁 than traditional hiring methods. #hiringalert #jobalert #hiringnow #engineeringjob
3 Comments -
Refery
🔥 These are the hottest early-stage startups in #California that recently raised funding. And yes, they’re #hiring. If you’re looking to join breakout companies early, this list is for you. #startups 🧠 ProRata.ai AI-powered search & advertising solutions prioritizing creator attribution 💰$40M 🌐 Gaia 🌱 Decentralized AI inferencing with a distributed GenAI Agent Network 💰$10M 🏢 Brix AI-based online recruiting platform 💰$10M ⚡ Derapi Enterprise-grade API for distributed energy resource devices 💰$7M 🧬 NOETIK AI-native biotech using machine learning on multimodal spatial omics datasets 💰$1M 🤖 Prime Intellect Full-stack agentic training infrastructure for frontier AI using LLMs 💰$49.94M 🛩️ Pyka Robotics company building autonomous aircraft 💰$40M 📜 Trust & Will Digital estate planning platform providing legally valid documents 💰$4.5M 🛡️ Arcjet Security platform with bot detection, rate limiting & attack protection 💰$8.5M 🚀 Morpheus Space Modular, scalable satellite propulsion 💰$15M 💼 Allocate Private markets platform for advisors & family offices 💰$30.5M 🏥 CareRev Healthcare staffing marketplace connecting systems & professionals 💰$5.25M 💬 interface.ai Intelligent Virtual Assistant (IVA) for banks & credit unions 💰$20M 📊 Selector AIOps platform for operational intelligence 💰$33M 🏭 Nexxa.ai Specialized AI solutions for heavy industries 💰$9M 💰 JustPaid AI-powered accounts receivable software 💰$1.9M 💻 Trio AI-optimized UEM/MDM platform for IT teams 💰$1M 🧪 Centivax Biotechnology developing vaccines & therapeutic antibodies 💰$26M 🧬 NeOnc Technologies Holdings Inc NTHI CNS-focused biotech developing therapies 💰$16M ✈️ BizTrip AI AI software to streamline business travel 💰$1.5M 🔧 Agrani Labs Stealth-mode semiconductor manufacturing company 💰$8M 🧠 Pathway Post-transformer frontier AI model solving memory problems 💰$1M 🐟 BlueNalu Cellular aquaculture producing healthy seafood products 💰$8M 🎨 Amaze Creator-focused platform for designing & selling products 💰$6.96M 🚚 Sotira Logistics services for suppliers & buyers 💰$2M 📊 micro1 AI platform converting human expertise into structured datasets & recruitment processes 💰$35M 💡 Like & repost to help your network discover amazing opportunities. 🔍 At Refery.io, we connect these startups with 𝘃𝗲𝘁𝘁𝗲𝗱 𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗿𝘀 — 𝘁𝗼𝗽 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀, 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀, 𝗮𝗻𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 — who refer the best talent from their own networks. 🚀 Hiring? → Join Refery.io to access 𝘁𝗼𝗽 𝘁𝗮𝗹𝗲𝗻𝘁, 𝗳𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗮𝘁 𝟴𝟬%+ 𝗹𝗲𝘀𝘀 𝗰𝗼𝘀𝘁 than traditional hiring methods. #hiringalert #jobalert #hiringnow #engineeringjob #softwaredeveloper
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Matt Rappaport
Don't Build a Better Wheat Farm" - Why Defensibility Stakes Are Higher in Deep Tech Just published a new piece on my "Ignore the Confusion" blog, building on thoughtful insights from Eric Ver Ploeg at Tunitas Ventures about startup defensibility. Eric's core thesis: Too many startups pitch like wheat farmers - "huge TAM, slow incumbents, growing market, domain expertise" - but fail to think through long-term defensibility until it's too late. From a deep tech perspective, the stakes are even higher: ** Unlike software, deep tech founders must commit to defensibility strategies from day one - their funding depends on it ** Patent vs. trade secret decisions are often difficult to reverse and shape your entire competitive strategy ** Even "picks and shovels" providers (the tools that make industries more efficient) become commodities without proper moats The key insight that resonates: Defensibility can't be retrofitted. Whether you're building software or deep tech, your moat must be architected into the business model from the start. Thanks to Eric Ver Ploeg for sharing these insights on startup strategy and letting me build on his framework from a deep tech lens. Read the full post: https://lnkd.in/dEj_iF-Q #DeepTech #StartupStrategy #Defensibility #VentureCapital #Innovation
2 Comments -
Lou Adler
AI, Performance-based Hiring and the Law This summary from the OFCCP Chair at Littler - David J. Goldstein - was part of the validation study for Performance-based Hiring - https://lnkd.in/g4em2777 - Bottomline - disparate impact lawsuits are unlikely using Performance-based Hiring. Any screening tool that uses unproven filters puts the employer and the HR tech vendor at risk. iCIMS Workday Littler #ofccp You can convert any job into a performance-based job description in two-minutes and prevent these types of problems - https://lnkd.in/g2wbHi7V You can now calculate the financial risk using AI with your current hiring processes - https://lnkd.in/gfyWpXbN Sarah White Sandra Lamartine Josh Bersin Kathi Enderes Kyle Forrest Dom Curtis Chris Hoyt Daniel Shapero SAP SuccessFactors SAP SHRM Johnny C. Taylor, Jr., SHRM-SCP Peter Cappelli Piyush Mathur Andrea Derler, Ph.D. Dave Ulrich Visier Inc. Daniel Chait - aka "Mr. Chait" - SmartRecruiters Greenhouse Software Kula Ashby Gem Steve Bartel Rippling
1 Comment -
Cindy Cremona, CPC
Q2 2025 brought an array of developments to the San Diego startup ecosystem, despite a notable global and local venture capital slowdown. Business San Diego's recent VC report highlights both the challenges and triumphs faced by our city's innovative companies. Here are some key takeaways: 🔹 Funding Landscape: - Q2 startup funding reached $500 million, a decline from $1 billion in Q2 2024. - Major investments in late-stage companies: RayThera ($110M), Biolinq ($100M), Linear ($82M), and more. 🔹 Top Deals: - Bio sector: RayThera ($110M), Actio Biosciences ($66M), HAYA Therapeutics ($65M) - Tech sector: Linear ($82M), Flock Freight ($60M), Clearspeed ($60M) - Seed stage: WeGive ($2M), EyePop AI ($3M), RetroRate ($2.6M) 🔹 Rankings and Transactions: - San Diego holds the 7th position in the US for venture capital activity. - Deal activity fell to 37 transactions, down from 48 in Q2 2024. 🔹 IPO and M&A Highlights: - Aardvark Therapeutics is the only company to have gone public this year. - Carlsbad-based Carlsmed filed for a $100M IPO, signaling growth in medtech. The resilience and innovation within San Diego's startup community continue to shine. #VentureCapital #SanDiegoStartups #Innovation
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Saywise
Tony Xu didn't build a food delivery company. He built a logistics empire. Pejman Nozad recalls the early pitch from DoorDash. The lesson? Your initial product is just the first step in a much larger roadmap. Great founders don't just fill a market gap, they create new markets entirely. Pear VC #DoorDash #BusinessStrategy #VentureCapital #MarketCreation
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Meg Henry
We kicked around a frustrating paradox in a meeting at Companyon Ventures this week: there's a flood of entry-level talent out there, yet founders are still having trouble hiring. While new grads are getting sidelined by AI that now handles starter tasks, early-stage companies are desperate for battle-tested operators who can actually navigate the grind of scaling. The irony is that while the market is saturated with candidates, the builder profile feels rarer than ever. Experienced people are understandably hesitant to leave established roles, creating a massive gap that a pile of entry-level resumes (no matter how many) just can’t fill. The traditional application process is basically dead; at this point, your network and your output are the only things that actually signal value. Hiring and firing are just mechanical skills, but recruiting and motivating? That’s an art. We’re finding ourselves looking for qualities that you just can't find on paper. We’re hunting for that internal drive to show up when things get messy, regardless of what a professional background says. The real challenge isn't a lack of people; it’s a lack of the specific, unteachable grit it takes to build something from zero. So I'll ask my network - if you’re a founder, hiring manager, or recruiter, how are you actually screening for this kind of intangible grit right now?
16 Comments -
Valeria Cornacchione
I’m excited to share that Mappa has closed an oversubscribed $3.4M seed round, led by Draper Associates with participation from Serac Ventures, Riverwalk Capital, Sher Ventures, Seagrass, Angel Squad (Hustle Fund), Grão VC, SoGal Ventures, The Pitch, and AngelHub México. ⚡️ At Mappa, we help organizations go beyond gut feel and résumé bias to truly understand compatibility, candidate’s cultural fit, communication style, and decision-making approach. In under 60 seconds, our platform analyzes more than 30 vocal biomarkers — such as speech rate, pause frequency, pitch variability, and word choice — to deliver predictive, real-time insights into how someone communicates intent, takes ownership, and performs under pressure, conflict, or ambiguity. Today, over 100 employers across the U.S. and LATAM rely on Mappa’s voice-based behavioral intelligence to make faster, smarter, and more inclusive hiring decisions. The results so far: ✅ $30,000+ saved per hire ✅ 300+ hours saved per role ✅ Less than one minute to full behavioral decoding and compatibility scoring With this new funding, we’re scaling our go-to-market team, deepening our R&D, and embedding behavioral intelligence directly into how enterprises make critical people decisions. A huge thank you to our investors, early customers, and advocates for making this possible. Onward! 🎉
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