Samir K.

In vertical SaaS, the very best companies landed with a product solving a specific, burning pain point that horizontal solutions solved badly and then became broad product suites over time (ServiceTitan, Veeva Systems, Doximity, etc). My partner Gordon Ritter calls this “layering the cake”. In vertical AI, the landing wedges are much more brittle. While the painpoints they solve are very real (and often unaddressable by SaaS alone), they’re also much more likely to commodotize in the near term as the tech advances. 👀 Therefore, the need to layer the cake in vertical AI is much more urgent than in vertical SaaS. 👀 The best vertical AI CEOs not only recognize the dynamic, but talk about it openly. Helps those around them keep up the speed of innovation and their eyes on the bigger prize.

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Instacart is a market leader when it comes to leveraging AI tools to boost productivity at work. I had an amazing conversation with JJ Zhuang, Instacart’s Chief Architect, who has shepherded over 50 AI-driven initiatives to market across the org. We explored what catapulted Instacart to the forefront of AI integration, supporting radically diverse use cases across various functional areas. One striking insight (echoed by Ethan Mollick and others elsewhere) is that you often don't need specialized tools for specialized work. Frontier models like GPT-4 can seamlessly adapt to a wide range of functions and use cases. They're not just for engineers; they're incredibly versatile tools used by marketing, comms, and legal teams. From generating code to proofreading and ideation, GPT-4 empowers every department to leverage AI for enhanced productivity and innovation. By integrating LLM’s like GPT-4 into their workflows, teams can streamline processes, automate repetitive tasks, and unlock bandwidth for new creative possibilities. How can you harness the power of AI in your own work to boost productivity? Share your thoughts below 👇 Want to hear more insights from JJ? Check out the full podcast episode by clicking the link in the comments.

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As we explore a seed round of VC funding for Avnir, a mentor has driven into me to "interview them as much as they'll do their due diligence on you!" When I consider professional etiquette important to me (and probably every serious founder), I am reminded of what I've coached hundreds of executives on over the past two decades: "Your culture is a culmination of behaviors you're willing to tolerate!" So, here is a Top 10 List of Professional Etiquette crucial to long-term strategic relationships between VCs and founders: 1️⃣ Respect for Time—Punctuality, Efficient Communication, and Timely Feedforward are demonstrated and genuinely felt. We would both rather me invest time in building the business. 2️⃣ Transparency—Clear Expectations, Honest Feedforward, and Disclosures on conflicts of interest or resource limitations save everyone unnecessarily wasted cycles! 3️⃣ Professionalism—Politeness, Confidentiality, and Objective Evaluation allow courteous interactions, respect for proprietary information, and avoiding bias in evaluating the founder's meritocracy. 4️⃣ Empathy—Understanding the Journey and Constructive Dialogue acknowledge the uphill battle founders face while avoiding unnecessary criticism and providing supportive guidance, demonstrating a genuine interest in their vision. 5️⃣ Integrity—Fair Terms, Follow Through, and Avoiding Overpromising honor commitments during discussions, and create realistic expectations from the relationship. 6️⃣ Co-Creation—Value-adding Mindset and Team Player Attitude accelerate the founder's ability to gain traction and position the VC relationship as transformational vs. simply transactional. 7️⃣ Humility—Avoiding Arrogance, Condescension, and Open-Mindedness acknowledges that both parties have unique expertise to add and enhance the receptivity to unconventional ideas, approaches, and perspectives. 8️⃣ Listening Louder—Present, Engaged, and Clarity of Intent eliminates distractions, brings out what's not being said, and jointly crafts better questions to help uncover the unknown and the undiscovered. 9️⃣ Encouraging—Supportive Communication, Positive Reinforcement, and Inspiration help celebrate small wins and key milestone achievements. It's ideal to light a fire within the relationship rather than under anyone, which seldom lasts! 🔟 Playing the Long Game—Relationship Nurturing and Post-Investment Care establishes the runway for a lasting partnership rather than simply pitching a deck and closing a deal. After the investment decision, sustaining the relationship will determine the partnership's long-term perspective. Jason M. Lemkin, Peter Bell, Cassie Young, and Ed Sim - you exemplify world-class in the relationships you build with your founders. Did I miss anything? #VCFounderRelationship #AlignedExpectations #RelationshipsMatterMoreThanEver

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When I grow up, I want to be Satya Nadella! 🙇‍♂️ One of the best CEO interviews I have seen in a long time. Very open, clear thinking, mindset, long-term strategic thinking, short-term tactical decisions and so much more. It will take me days to summarize all the nuggets of wisdom he said. Listen to it (and listen to it again). https://lnkd.in/gPTygBA2

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ex Google CEO Eric Schmidt spoke at Stanford this week. Lots of nuggets here, but most interesting for the near term, Schmidt believes in the next year AI is set to make a big leap forward. He predicts AI will combine three important features: 1. Vast knowledge retention (1 million token models) 2. Text-to-action capability 3. Personal AI agent fleets While the full impact is unknown, everyone may soon command their own AI teams. Here's an example: Imagine you're developing new quantum computing algorithms. Your AI assistants could: - Continuously scan and synthesize global quantum research papers - Generate novel algorithm ideas based on this knowledge - Simulate and test these algorithms across various quantum architectures - Automatically document findings and prepare draft papers - Identify potential collaborators and draft outreach emails All initiated by a command like "Advance our quantum algorithm research." This could dramatically accelerate R&D cycles and scientific breakthroughs.. https://lnkd.in/eJbg6cnD #frontiertech #AI #futurefrontier

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Big announcement below! 👇 Let's talk about the current state of GP-LP affairs: 🤯Emerging VC managers have absolutely exploded over the past 5 years. 📈 At the same time, more and more data has surfaced that shows that emerging VC firms tend to outperform larger, established firms. 🤔 All of this has made it intriguing but tough for LPs to know where to direct their attention. 🛍 GPs frequently meet LPs at conferences who are window shopping but not committed to the asset class or emerging managers. 🧾 And both crews get overwhelmed by transactional convos. So Sydney Paige Thomas and I created Abundance. Abundance is a private, nomination-based retreat for active LPs and top emerging GPs to form new experiences together and build lasting relationships. Why Abundance? Abundance is knowing that there is more than enough for more than one to succeed. And a single win within a community is a win for the community itself. The journey of an emerging VC manager from 1st close to final close or Fund 1 to Fund 2 is (1) communal and (2) requires an abundant mindset. LPs look for structure and confidence to feel comfortable investing in early VC firms. Yet many of the feeds we scroll and conferences we attend reinforce inherent power dynamics and transactional thinking, which allows scarcity mindset to creep in for emerging GPs. Some of the best events I’ve attended have been intentionally non-transactional, e.g. Camp Hustle, Recast Summit, and other GPs’ AGMs. The fundraising success stories we see usually involve a community (usually of other GPs & LPs) coming together to support and open doors for the emerging GP. We designed Abundance to be an immersive gathering that fosters these connections. Starting tonight, ~100 GPs and LPs are descending upon Seattle for the inaugural Abundance retreat. This has been under wraps for months and I can’t wait to see it come to life! Thanks in advance to our awesome sponsors who were the earliest believers in this vision: Sydecar, Amazon Web Services (AWS), Gunderson Dettmer, & Zelda Ventures. And shoutout to my dad Ed Illig for logo design & Halle Kaplan-Allen being the first sponsor to say yes 🤩 Presented by The Council Capital & Symphonic Capital.

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Is double digit growth a sign of true product-market fit? Jason M. Lemkin at SaaStr does an excellent job at emphasizing the importance of metrics such as customer retention, engagement, and adoption rates in determining product market fit. Additionally, it discusses the significance of customer feedback, market demand validation, and the ability to solve a pressing problem for target customers. By focusing on these key indicators, startups can better assess and refine their product-market fit strategies for sustainable growth and success.

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What does bold leadership look like in 2024? In this latest Product Thinking episode, I sit down with Margaret (MJ) Jastrebski, the SVP of Product at Tegus. We dive into the key strategies for uniting teams, breaking down silos, and leading with transparency. Margaret knows the investor research space inside and out from her work at Tegus, a platform that consolidates key company intelligence to help investors make smarter bets. With experience spanning product, sales, and marketing at companies like Stylitics and TXI, Margaret brought a unique 360-degree view. We discussed: ►Uniting fragmented teams behind one vision ►Breaking down silos between product, marketing, sales, etc. ►Leading with transparency to build trust and alignment Margaret emphasized the need for product leaders to externalize their decision-making process. By communicating rationale openly, you empower teams to truly understand and even constructively challenge your calls. Whether you're an up-and-comer or a seasoned pro, you'll want to hear Margaret's insights on casting a clear vision, tearing down organizational barriers, and inspiring teams to achieve big outcomes. What strategies have you found effective for aligning teams and leading with transparency? Share your insights below! Listen Now: https://lnkd.in/gAdV7k56 #ProductLeadership #Alignment #Transparency #BusinessStrategy

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We are thrilled to announce that TurboDocx has successfully closed its Angel funding round, raising $75,000. This significant milestone marks a leap forward in our journey to revolutionize smart and modular document and slide deck creation, accelerated by AI. A heartfelt thank you goes out to our friends, family, early supporters and everyone that believes in our vision. Your support is not just appreciated-- but a strong vote of confidence in our mission to innovate and transform how business document creation is created. What does this mean for TurboDocx? We're reinvesting it into the business: - Focusing on Partner/Client Needs - Understanding and addressing the evolving needs of our users remains our top priority. We're here to build not just a product but a solution that truly makes a difference. - Enhanced Solutioning - We're more committed than ever to developing solutions that set new benchmarks for efficiency, re-usability, and innovation has never been stronger. - Innovation, Partner, and Channel Growth - Our investment team and advisors primarily consists of go-to-market (GTM) and implementation professionals that have already provided invaluable guidance on scaling our overall growth. Looking ahead: As we celebrate this achievement, we're mindful that fundraising is not the end goal but a milestone --a means to an end-- to build out a well oiled machine. We're excited to leverage this opportunity to further our mission, drive innovation, and exceed the expectations of our users and partners. With this said - If you'd like to be part of this exciting journey, please reach out! Stay tuned for updates, join our growing community, and let's reshape the future of document and slide deck creation together. -Nicolas https://lnkd.in/e4CGrUVB

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Today, GTMfund’s is excited to announce to launch of Operator, its first incubated company. Max Altschuler (founder of GTMfund) teamed up with co-founder Adam M. (design engineer and 0-1 builder) and co-founder Mark Kosoglow (Outreach employee #1 and former SVP of Global Sales) to create Operator.ai alongside an insanely talented team Pleasant Middelhof, Jeremy Jonas, Carl Gunderson. We've entered a period called “The Great Ignore”. Spam and irrelevant, poorly-automated outbound campaigns are running rampant.   Operator gives you an easy-to-use Growth Engineer that allows you to build and enrich lists with accurate data, and run experiments and queries using AI to generate highly targeted outreach.    Check out their website to get updates, early access, and see how they are taking the world back to 2 touches meant to attract buyers into conversations that convert, instead of 20 touches meant to make sure you hit your activity number: https://www.operator.ai/

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At Forum we look at thousands of deals each year across our Accelerator and Pre-Seed funds but only end up investing in a little over 1% of those startups.  As an early stage VC, I am in the business of saying no to nearly every startup I meet, and while there is nuanced rationale for many of the startups I pass on, a vast majority of businesses that don’t meet the qualification to get funded typically fall into one of two buckets. ▪ First time founders have a tendency to go out to market too early to raise pre-seed capital ▪   I’m sure most founders have heard some iteration of this from VCs that ultimately pass on their business.  In some cases it's a blanket excuse covering up for other pass reasons- perhaps a VC doesn’t believe in a team or isn’t bullish on the market opportunity - but in many cases founders simply haven't proven enough to the market to warrant an investment. I meet many teams with an articulate vision for the product that they want to build, but they either haven't performed enough customer discovery to prove demand for their initial wedge product, or need to raise pre-seed capital to build out an MVP.  In those cases, pre-seed investors are unwilling to underwrite those risks.  To be default fundable, teams need to be able to keep costs low, perform extensive customer discovery, and ship some version of an early product - pilots and early paid customers are key. A huge piece of this is having founding engineering talent on the team. ▪Not every startup is a venture opportunity ▪ By definition, a venture backed business is solving a problem within a market opportunity so massive and so desperately needed, that its growth rate is off the charts.   It spreads like a weed, absorbing almost unlimited amounts of capital to fulfill demand within its customer base.   Each year there are maybe 20 companies launched that ultimately have venture scale outcomes. The bar to reach this rarified air is unfathomably high and the reality is the vast majority of founders simply aren’t building for opportunities that have the potential to be one of these generational companies. Many startup founders view VC as the only viable option for capitalizing their business, but not every great business is a venture business, and most successful founders never take VC dollars.  In order to reach an IPO/acquisition large enough to generate venture returns, a startup needs a credible path to $100s of millions in revenue. This is the standard by which early stage opportunities are evaluated. The flip side to this, and I share this feedback often with founders I meet that are building interesting business in non venture markets, if you are able to scale to $10- $20M in revenue that can be a massively successful outcome for a founder.  There are investors who focus on these type outcomes, namely lower middle market PE shops, and the typical path to those deals is a bootstrapped business or a friends/family capital raise.

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As we stand on the brink of 2025, the world's technology, infrastructure, AI, Data, Cloud, Crypto, venture and everything else in tech are poised for a transformative year. I am excited to share my predictions for 2025 — insights that I believe will guide us through the next wave of innovations as important as the internet and smartphones. Together, let’s explore the trends that will not only guide and influence our thinking and investment strategies but also inspire us to create a better world through entrepreneurship. Here are a few predictions 💡💡💡: -  Imagine the creation of HealthGPT, BioGPT, NuclearGPT, LogisticsGPT, GovGPT and more - Establishment of a US Bitcoin Reserve by the end of 2025 - SpaceX, OpenAI, Stripe, SHEIN, Databricks, Canvas, Chime, Anduril, and Scale AI are anticipated to go public - 50% of the Department of Government Efficiency (DOGE) new hires are from Silicon Valley. #prediction #2025 #venture #funding #M&A #DOGE #bitcoin #AI #GPT #IPOs #exits #startups #venturecapital #USmarket #databricks #chime #anduril #scaleAI #OpenAI #stripe #spaceX #bytedance #canvas Read more on my Substack  👉 👉 👉

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If you're running a data or AI-focused startup, connect with Stephan Goupille and his team! When three of the industry's brightest data minds join forces to back your venture, you get more than just funding – you gain invaluable operator expertise. They understand the challenges and opportunities you face because they've been there themselves.

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What Really Happens To A Founder After They Fail -- I'll walk you through each stage and how to get past all of them in my new article for Inc. Magazine https://lnkd.in/e-ngs9PT #startup #entrepreneur #failure #work 

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PE - How to Use AI to Unlock Growth in Portfolio Companies All PE firms and portfolio companies should be thinking about unlocking GTM and growth via AI (i.e. not merely ChatGPT or other LLMs but actually implementing apps that are "AI Agents"). 1. What are "AI Agents"? - AI agents are autonomous systems powered by ML and natural language processing, designed to perform tasks with minimal human intervention - They can interpret data, determine the workflow & direction (i.e. make decisions), and execute actions across various functions, continuously improving through self-learning 2. Examples of using AI Agents in PE portfolio companies: - For Sales: AI agents handle lead qualification, respond to inquiries, book meetings, and provide personalized product recommendations, ensuring no opportunities are missed - For Marketing: Generate campaign briefs, segment audiences, create tailored content, and analyze performance to optimize outreach efforts - For Customer Success & Support: Provide 24/7 support, resolve customer issues autonomously, escalate complex cases to human agents with full context, and ensure consistent, brand-aligned responses 3. How PE portfolio companies benefit: - Efficiency: Automate repetitive tasks, enabling teams to focus on high-value activities - Scalability: Handle growing customer volumes without increasing headcount - Personalization: Deliver tailored experiences using real-time data insights - $ Cost Savings: Reduce operational costs by streamlining workflows 4. Business Impact for PE Portfolio Companies: - Accelerate GTM Execution: Faster lead conversion, better customer retention, and enhanced marketing ROI - Improve Metrics: Boost Customer NPS, CSAT, and efficiency - Enable Growth: Scale operations seamlessly while improving team productivity. 5. How PE Firms Must Think About Adoption - Define clear portfolio objectives to use AI agents (not just LLMs) - Ensure integration with existing CRM and data systems - Prioritize high-quality data and ongoing performance monitoring - Use AI agents to complement existing GTM teams, focusing them on automation ------------------ #pe #privateequity #investing #ai

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Join Us for an Exclusive Partnership Leaders Meetup in San Jose 🚀 Calling all partnership leaders! Let’s tackle two of the hottest topics on your mind: budgeting and headcount planning for 2025. This meetup is the perfect chance to: - Share strategies on securing budget approvals - Discuss headcount needs and justification in a lean economy - Connect with fellow leaders facing similar challenges See you tonight, bring a friend!

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In his latest piece, Paul Graham dives into a thought-provoking realization sparked by Brian Chesky's memorable talk at a recent YC event: **what if the conventional wisdom on scaling companies is fundamentally flawed for founders?** Graham dissects why advice that works for professional managers often fails founders, leading to disastrous results. He introduces the concept of "Founder Mode" — a distinct approach to running a company that clashes with traditional management practices. Graham argues that embracing this mode could be the key to unlocking greater success for startups, potentially revolutionizing how founders scale their companies. Made me think. https://lnkd.in/exHmEE5M

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"The best offsites create space for serendipity." ✨ That was our guiding principle for Clarify‎'s recent team gathering in Seattle. The result? A transformative experience that's already paying dividends in team cohesion and product innovation. 🙌 Our key ingredients for offsite success: 🤝 Prioritize unstructured bonding time  💼 Mix work (hello, hackathon!) with 🤿 play (who's up for a lake plunge?)  ❤️Create opportunities for vulnerability and deep connection   💸 Keep it budget-friendly without sacrificing impact But the real magic? Watching our team of 11 take all their energy and use it to ship 6 awesome customer projects in the week following our return. Austin Hay‎ packed all our insights, learnings, highlights, and even a few missteps into the latest Clarify blog. Whether you're planning your first offsite, looking to level up your team gatherings, or just want some recommendations for things to do in Seattle, we've got you covered. 🌆 Bonus: We're turned the Notion and Google Sheets project docs we used to plan everything into templates you can steal for your next offsite.  You can find the link to the full write up w/ our templates in the comments. 👇

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🚀 Landing a VP Role in AI/ML: Key Insights from Recent Executive Searches In my recent work with clients on executive roles, especially VP positions in AI/ML, I've observed clear differences between candidates who succeed and those who don't. Here are three simple yet critical insights: 1- Show Your Future Value and Potential: In AI, things change fast. Successful candidates don't just talk about past jobs; they demonstrate how they can be valuable in the future. Tip: Discuss projects where you've adopted new technologies with no prior experience, focusing on the challenges and your learning process. This approach has significantly helped candidates reach the offer stage. 2- Keep It Simple: Explaining complex AI ideas in easy-to-understand ways is essential. The most successful individuals can discuss their complex projects simply and engagingly, like telling a story that keeps everyone captivated. Tip: When describing complex projects, use straightforward comparisons or examples to make your points clear. 3- Impact Statements: I've often heard from hiring managers about candidates lacking impactful statements in their resumes and conversations. It’s crucial to know your impact and be able to quantify it. Tip: In your resume and interviews, focus on specific outcomes of your leadership, such as the adoption rate of a new system you implemented or the growth driven by an AI initiative you led. These insights are derived from feedback across multiple industries and from leaders we've supported. I've distilled them into three pivotal areas. Have you noticed trends or qualities that set apart successful executive candidates in AI/ML?

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