Apoorva Pandhi

We're launching the inaugural edition of Beyond Benchmarks, a deep dive into the metrics and trends observed across the early-stage enterprise cloud market. This is the first look at some of the business data around GenAI in SaaS. Some initial observations: 1) 60% of SaaS companies have already integrated GenAI into their offerings (60% of these as part of their current product and 40% as a new product), and an additional 20% are planning to do so this year. Almost half aren't monetizing these features. Those that are are primarily experimenting with both usage-based and flat fee pricing models. 2) Most companies are utilizing OpenAI as their primary LLM, but many are experimenting with multiple models - and we are noticing an early trend towards intelligently routing GenAI inference requests to different models based on cost, performance, and security. 3) Though we are in the initial innings of GenAI, we are seeing some positive signals - companies that implemented GenAI had 7% higher NDR than those that did not. Still early days, but we'll be doing this benchmarking report regularly to track and share how things progress in this new era. Link to report in comments.

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During yesterday's LibreQoS APNIC webinar, I posed the question: won't more bandwidth solve these problems? As Herbert Wolverson said, yes, more bandwidth is good, but, still these problems remain if queueing is done incorrectly. Here's my take on why bandwidth alone is not as good as bandwidth + good queueing policies: Generally it was believed that 'data is important, so don't throw it away; hang on to it and send it later'. In practice, this has proven to be suboptimal as two issues may emerge: 1) latency increases for some flows due to heavy demand from other flows using the same bottleneck link, 2) even a single flow can have excessive latency due to aspects of typical TCP behavior (referred to bufferbloat) when the buffers grew large enough that the data being buffered was retransmitted anyway. It turns out that not all data is equally important. Active Queue Management is the art of deciding priorities, both in deciding what data to throw away, but also in allowing some later arriving data to be transmitted ahead of data in another connection that arrived before it. These problems have been studied, and good solutions have been found by using certain queueing policies in routers and switches, referred to as “fq_codel’ and “cake”. These track the different flows not by classifying the data, but by watching the behavior. Flows that send relatively little data (DNS lookups), or at a measured pace (video chat) have priority over flows that send a lot of data as quickly as possible (App and System updates, Video and ISO downloads).

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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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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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🔑 The Power of a Written Exercise in Interviewing Revenue Leaders 📝 Hiring the right revenue leader can make or break an organization. As we search for smart folks to drive our revenue growth at Vanta, one approach has consistently proven to be a game-changer: the written exercise. 🔍 Why a Written Exercise? Clarity of Thought: A well designed exercise reveals a candidate's ability to articulate complex ideas clearly and concisely. This skill is vital for revenue leaders who must communicate strategies across diverse teams and stakeholders. Strategic Insight: Through real-world scenarios, candidates demonstrate their strategic thinking and problem-solving abilities. This helps us gauge their approach to challenges and opportunities unique to our business. Analytical Prowess: Written exercises allow candidates to showcase their analytical skills. By dissecting data and presenting actionable insights, we can see how they drive decisions that lead to growth. Cultural Fit: How a candidate approaches a written task can also give us a glimpse into their work ethic, attention to detail, and alignment with our company values and culture. Elliot Goldwater has really nailed this practice, and it's incredible how much the exercise can swing a process towards or away from a candidate. 👥 Have you implemented written exercises in your hiring process? What has been your experience? #RevenueGrowth #Leadership #HiringTrends #Interviewing #TalentAcquisition #Strategy

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Thrilled to announce the launch of our inaugural edition of Beyond Benchmarks at Emergence Capital. This comprehensive report dives deep into the metrics and trends shaping the early-stage enterprise cloud market. A huge thank you to our VC partners and contributors for making this possible! Here's a sneak peek of our findings: --> 60% of companies have already integrated GenAI into their service offerings, with another 20% planning to do so this year. --> While most companies use OpenAI as their primary LLM, many are experimenting with multiple models. We’re seeing a trend toward intelligently routing GenAI inference requests based on cost, performance, and security. --> Companies that have implemented GenAI are showing promising results, with a 7% higher NDR compared to those that haven’t. Beyond Benchmarks goes further with more GenAI trends, insights on the current fundraising environment, and key performance metrics. Our goal is to provide founders and their teams with valuable benchmarks to help them make better-informed decisions. At Emergence Capital, we're committed to helping founders build iconic companies. Dive into the full report here: https://lnkd.in/g6bnvAZM

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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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I first met Mike Maples, Jr in 2010, when Founders Network was just an idea. Over the years, Mike and his team at Floodgate (special shoutout to Arjun Chopra) have been great mentors, sharing their insights and guiding our founders. Most recently, their advice played a pivotal role in helping us launch Founders Network Fund. Today, Mike shared the key ideas with FN'ers from his new book Pattern Breakers (https://a.co/d/buKBd5O ), which explores the insights he’s gained from backing companies like Twitter, Twitch, and Okta -- and which put him on the Forbes Midas List 8x. This is the most important book on startups in the last ten years, according to Steve Blank. My notes on the key concepts of his talk: 1) Inflections – "not a trend but a change event that represents a turning point in our ability to provide empowerment." e.g. The GPS chip in iPhone 4s 2) Insights – "a non-consensus and right insight about the future that's powerful and non obvious and leverages inflections." e.g. Lyft = GPS + strangers driving you 3) Founder future fit – "Living in the future before other people live in the future and then try to build what's missing in the future." If you're a founder, check out the book. Grateful for the impact Mike and Arjun continue to have on both me and the Founders Network community!

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How companies purchase software is rapidly evolving, with cloud marketplaces expected to reach $100B in 2026, up from $15B in 2023. Simply put, if you are building and selling cloud software today, it's imperative that you can sell through a cloud marketplace. The journey, however, can be a little confusing, and management can be even harder. With 3x growth last year and 3/4th of our business now flowing through a cloud marketplace, CloudZero switched to Clazar earlier this year to handle our rapid growth, and I couldn't be more thrilled. Trunal B. and Aayush Bahuguna have a big vision for how cloud marketplaces will evolve and how software will be bought and sold in the future. No matter where you are on your journey, learning from them what's coming next is worth your time.

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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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AI in Vertical SaaS ____ I've been learning from SaaStr content for over a decade now. I loved Jason M. Lemkin's recent interview with Mangomint's Founder / CEO, Daniel Lang, about the growth of vertical SaaS. The entire video resonated with my own vertical SaaS founder experience at CampusLogic as well as the high-growth vertical SaaS companies I have invested in at PHX Ventures (e.g., Virtuous, equipifi, Nurture Boss, Soraban, eVisit, Rivia Health, Botco.ai, Coursedog, etc.). This clip below captures why I am bullish on AI in a vertical SaaS context. I believe the next decade will be the biggest period of productivity gains in my lifetime in most industries. It's a great time to be building an AI-driven vertical SaaS company. ___ PS - I hope everyone has a great week at SaaStr Annual 2024. #b2b #saas #founders

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AI is reshaping how enterprise software delivers—and prices—value. Companies like Zendesk, Intercom, and Forethought are shifting to outcome-based pricing, charging only when AI autonomously resolves issues. I've been investing in AI for over a decade. The shift to outcome-based pricing in enterprise software is a seismic change. As I told Jon Victor at The Information, software companies now face a critical decision: Does a company decide to change business models at the expense of losing revenue? It's a necessary risk. With cheap access to LLMs, businesses can build their own enterprise apps. Adapt or die. Why this pricing shift matters: → Vendor success ties directly to customer outcomes → Short-term revenue risks enable long-term market expansion → Industry faces widespread pressure to demonstrate measurable value Pitching AI-powered automation software as a clear cost-reduction tool could ultimately lead to greater revenue for vendors. This is because customers may view AI solutions as fundamentally different from traditional enterprise apps, whose business value is often harder to quantify directly. It's a huge market expansion opportunity. Vendors that nail outcome-based pricing could see massive growth as AI transforms enterprise operations. Those that don't? 😬🫣 How do you see this impacting sectors beyond customer support? Leave a comment. And if you're building in this space, send me a message.

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PE - AI Momentum & Impact on PE Portfolio Companies "Bloomberg: Salesforce to Hire 1,000 People for AI Sales" (Source: https://buff.ly/48LV5uo) For PE funds and PE portfolio companies, Salesforce’s investment in AI highlights an urgency to adopt AI tools more rapidly to remain competitive. Here’s why portfolio companies may need to accelerate their AI strategy: - Sales & Customer Success: Use AI tools to automate support and personalize customer interactions for efficiency and growth - Data Utilization: Accelerate AI adoption to leverage data insights for sales and operational improvements - Operational Efficiency: Streamline tasks with AI to reduce costs and redirect focus on strategic growth - Investor Expectations: Early AI integration could enhance attractiveness for investors and exit readiness - Competitive Pressure: Rapid AI adoption is essential to stay relevant as competitors integrate similar tools ------------------ #pe #privateequity #ai #ceo #cro #saas #gtm #growth #middlemarket #boardofdirectors #board #revenue #revenuegrowth #investing #investment #finance #business

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If you enjoyed our first blog on the metrics that matter for Verticalized SaaS then don't miss on the Part II of the series where my colleagues Devraj Hom Roy and Matt Schaar discuss the strategic and operational choices to improve these operational indicators. https://lnkd.in/g5QkCrcH

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Worth reading: Situationsl Awareness by Leopold Aschenbrenner PDF : https://lnkd.in/gkxQ3yMD Web site: https://lnkd.in/gyJUCBhb Interesting perspective, time of course will tell.

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PE - Portfolio / Cost of Revenue is up 68% Key to success in PE: - Optimizing Revenue Growth in a capital-efficient and profitable way - Unique strategies that are profitable and drive disproportionate ROI are critical today in PE - Successful growth is both: ARR and EBITDA Great panel with Seth Brody at Apax Partners, Craig Greenseid at The Carlyle Group Rajveer (Raj) Kushwaha at Warburg Pincus Prerak Vohra at Goldman Sachs and Michael Hoffman at SBI at the Private Equity International NYC conference. --------- #pe #privateequity

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"Editors note: Welcome to issue #2 of Transcriptions. Today, we’d like to present a conversation between Qasar Younis of Applied Intuition, and Bilal Zuberi of Lux Capital. We discovered Qasar recently, and find his focus and clarity of thinking to be admirable. What follows is a lightly edited transcript of their talk, first held at the Paklaunch forum." Link to transcipt: https://lnkd.in/gH4uBmPE

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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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I am always amazed when someone discovers whitespace in B2B SaaS that is eligible for pre-seed funding. It's interesting to see that Chiratae Ventures led Pre-Seed round for Pepsales. Pepsales is trying to help B2B SaaS companies improve their sales by creating personalized product demos using AI and ML. The pain point they are trying to address is that most demos don't impress buyers because they tend to be generic and one-size-fits-all. Congrats Ajay Singh and Abhinandan Sahgal! Source: INC42, Entrackr, VCCircle #VentureCapital #B2BSaas

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