Author: Nataraj Sindam

  • Shankar Somasundaram on Securing Healthcare & IoT Devices with Asimily

    The world is more connected than ever, but with increased connectivity comes increased risk. From life-saving medical equipment in hospitals to the traffic signals managing our city streets, the Internet of Things (IoT) has become the backbone of modern infrastructure. Yet, these devices are often the most vulnerable entry points for cyberattacks. In this episode, we sit down with Shankar Somasundaram, the founder of Asimily, to discuss how his company is tackling this monumental challenge. Shankar draws from his extensive experience at Symantec and his deep engineering background to explain the unique security threats facing healthcare, smart cities, and manufacturing. He breaks down the complexity of securing these heterogeneous environments, the evolution of customer needs from simple visibility to sophisticated vulnerability management, and his journey as a founder in a highly regulated and mission-critical industry. This conversation offers a crucial look into the future of IoT security.

    → Enjoy this conversation with Shankar Somasundaram, on Spotify or Apple.

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    Nataraj: On the podcast, we feature interesting companies solving big problems in different sectors. You’re in two intersecting sectors: security and the Internet of Things. It would be a useful session for our audience to talk about the problems you’re solving. To level-set for the audience, can you give an introduction to yourself and your career until now?

    Shankar Somasundaram: Thanks, Nataraj, for having me. I’m Shankar. I started Asimily a few years ago. Asimily is focused on helping provide visibility and security for medical, IoT, and OT devices. We work across verticals like healthcare, smart cities, universities, and manufacturing. Healthcare is our prime vertical where we started the company and have since expanded. Prior to Asimily, I ran the IoT business at Symantec for a few years, which is where I got exposed to IoT. Before I even started the business, I did a full strategy project for Symantec on how they should expand into the IoT vertical. My journey in IoT has been going on for 13 or 14 years now. It started as a strategy project, which led to a few other things, and then Symantec started a business and asked me to run that group. Eventually, I reached a point where I wanted to start Asimily. Before that, I had a product and engineering background. I built the iPhone 3G modem many years ago and some of the early chipsets and algorithms at Qualcomm. I’ve mostly been on the product and engineering side. I like the space I am in because there’s a lot of innovation possible, which aligns well with everything I have done so far.

    Nataraj: Going back a little, what was the idea when you were first thinking about starting Asimily? What was the forcing factor and the big problem you were trying to solve?

    Shankar Somasundaram: When I was at Symantec, I saw the opportunity in healthcare. The initial idea was focused there, and we did a lot of work for many years. The big problem then was that healthcare is a very complex, heterogeneous environment. I call it a system of systems because it’s not just what’s happening inside the organization; it’s the suppliers and vendors. It is the one environment that singularly contains all kinds of devices: medical, IoT, and OT. I don’t think any other environment has everything. In that kind of environment, how do you provide visibility, vulnerability management, detection, and all kinds of operational metrics? And you have to do it in an environment that is very constrained, fairly regulated, and where there are severe patient impacts if you get it wrong. It is the most challenging environment I know among all verticals. I saw a couple of players in the space taking a very IT-centric approach, but there had to be a completely different, bottoms-up approach to solve for these unique devices. I said, we’ll go solve this problem in healthcare, and we can do it better than anybody else. That’s how the company began. Symantec wasn’t as interested then in going after this problem, and I decided if they weren’t going to do it, I would.

    Nataraj: How does Asimily help its customers today? It’s a primarily security-based product, but healthcare is such an interesting space in terms of software. How do you connect the hardware monitoring to the existing software used in healthcare?

    Shankar Somasundaram: Our system’s principle is the same whether it’s healthcare, smart cities, universities, or manufacturing. In healthcare, we’ve done a ton of work. We put a hardware appliance inside the environment that connects to the network and collects and extracts device-related data. Because of HIPAA, GDPR, and other regulations, you cannot transmit patient information outside. So, we transmit only device-related information to our cloud, or we have an on-premise version. There, the data gets processed for more than just cybersecurity; we provide visibility, operational metrics, and we are adding new capabilities that go beyond cybersecurity. The data we collect then integrates with other systems. We have APIs with configuration management systems, CMDBs, asset management systems, vulnerability scanners, SIEMs, NACs, firewalls—you name it. Our system does a ton of work by itself, but we interoperate with other systems, creating an integrated view for the health system, city, or manufacturing plant. We provide a high level of data granularity, deep visibility, and robust capability around vulnerability management and incident response, which improves their overall posture and enriches other systems that lack the context of these devices.

    Nataraj: You mentioned Asimily has a hardware product that collects data from other devices. How are you interacting with those devices? Is it through the firmware on the other hardware?

    Shankar Somasundaram: To be clear, we are a software company. The hardware we use is just a commodity; we can also put our collector as a virtual machine in their environment. We are collecting purely network data. We have other non-network mechanisms, like collecting manufacturer documents, but the primary method is passive, where data is fed from the network into our box. We don’t have to interact with the hardware directly because we’re not interrogating these devices. For medical devices, it’s very risky to interrogate them. For certain kinds of IoT and OT devices, you can, but mostly you are getting data from these devices on the network. Based on that data, you act on them without directly interacting with the hardware’s firmware.

    Nataraj: Healthcare is notorious for security attacks and being prone to hacking. We often hear about healthcare organizations being hacked and held for ransom. Do you see that as a common pattern you’re helping to solve? What types of issues are you solving for customers?

    Shankar Somasundaram: Cybersecurity is a multifaceted problem with no single silver bullet. Our focus is on the IOMT, IoT, and OT devices in the environment. Ransomware attacks have become more common because health data is so much more valuable than credit card data—I think 100 or 1000 times more. So, this is here to stay. Securing all these other devices is one big step toward protecting against ransomware attacks. We are a big piece of the puzzle. A hospital might have a firewall for IT systems, DLP, and an email gateway, but what about the medical and IoT devices? There are two problems: what if they’re connecting externally, and how do I protect them against internal threats? You have to assume some threats will bypass your perimeter. When they get inside, you need to know what your devices are and where attacks can come from. We do a ton of work around attack analysis, identifying how vulnerabilities on these devices could be exploited and what lateral movement could happen. We also help collect data for forensic analysis. This in turn helps protect against ransomware because medical IoT devices are the core bread and butter of a hospital’s operation. Protecting the core of the system is what we are doing.

    Nataraj: You brought up smart cities. We’ve heard this phrase and passed the hype cycle. From your observation, what does it mean to be a smart city today, and where does Asimily fit in?

    Shankar Somasundaram: I’ll rephrase ‘smart cities’ because that term has been used so many times. I think the concept is simpler: more devices are getting connected. For example, wastewater plants, which come under the city’s purview, are fairly connected. What if your wastewater plant gets attacked or goes down? Imagine your sewage isn’t flowing anymore. That would be a nightmare. All the traffic signals in a city are connected to a central controller. What if some of them fail or get attacked? The concept of a smart city I’m talking about isn’t the futuristic one touted for 20 years. It’s simpler: all these devices, whether traffic lights, sensors, or wastewater plants, are connected. How do you understand what’s in that environment and protect it? The problems are similar: protection, visibility, and operational metrics. I think the difference between then and now is there’s a lot more focus on critical infrastructure, partly because connectivity has risen. When you reach a certain threshold, like 30-40% connectivity, it becomes important. The present reality is that devices are connected, and with that comes the need for visibility and cybersecurity management. That’s what we have solved.

    Nataraj: You mentioned catering to clients in healthcare and smart cities, both of which are highly regulated. You mentioned HIPAA, which I know from a past job can be complicated. What was the experience like dealing with two highly regulated sectors?

    Shankar Somasundaram: The good news is that we touch device data, not patient data. Regulations focus on patient data, PII in smart cities, or confidential information in manufacturing. We aren’t touching that, so it’s simpler. The architecture we built, where we only send certain kinds of device data to the cloud, helps. For very critical environments where customers won’t allow anything to be transmitted to the cloud, we also have an on-premise version. Because of these architectural capabilities and our focus, regulations don’t directly impact us. However, because these are more regulated environments, there is far more scrutiny on the technology and the product. You have to have an enterprise-grade product, which is something we have built. There are certain levels of quality and assurance you have to provide in these verticals, which we have been able to do.

    Nataraj: You mentioned you got started with Asimily because you were writing the strategy paper. When you decided to start this yourself, what were those initial days like? How did you bring together the founding team?

    Shankar Somasundaram: It was pretty challenging. When you leave a large company where you’re running a business and then suddenly you’re all by yourself, it’s tough. Initially, I was lucky to have built some core advisors and relationships. One of the ex-CEOs of Symantec, Mike Brown, is an advisor and investor. I call him our first co-founder. He was one of the first people I spoke to about it, said it was a good idea, and even gave me a check. One of our investors, Ashmeet from Engineering Capital, wrote our first check. He took a bet on me when I had nothing but some slides. I would almost call Mike Brown and Ashmeet our co-founders. I got the backing of people who believed in me through previous relationships. Then I was able to reach out into my network. I brought in Hitesh, whom I had studied with at Rutgers, and he’s still with us. Then we brought in some other people and expanded the network from there. We’ve since built a very strong leadership team, mostly from Symantec and other areas. It’s a struggle initially, but I was fortunate.

    Nataraj: How did you get your first customer? When you work in big companies, there’s a whole sales system working for you. As a product builder, your job ends at supplying information to marketing and sales.

    Shankar Somasundaram: Because I had been in the industry and doing IoT, I knew a few people. I was able to reach out to some partners and people in the industry to get feedback. When I got feedback, some people said it was a good idea and to come back when I had a product. It took us a little time to get there, but once we had something, I could go back and show them. It wasn’t easy at the beginning because healthcare has a very high bar; they don’t buy half-baked products. They want a more sophisticated product even in the first round. It took us a couple of iterations, but the product had and still has some very core differentiators. That allowed us to get some initial customers. Then we were able to improve the quality to an enterprise-grade level. Through the contacts I had built, the quality we had built, and the differentiators we created, we were able to land our initial customers.

    Nataraj: How does the sales process look today compared to then? What is your process for reaching customers?

    Shankar Somasundaram: The very first sale was just me. But now, we have a full-fledged sales team, a channel team, a marketing team, and solution engineers. We also have partners. It’s a very different motion now. Our partners refer us, and being the number one rated Gartner vendor helps, so people sometimes reach out. We are constantly getting customer feedback, and we have some very strong, loyal customers who refer us. Our sales process is now largely channel-first. A lot of our business comes through our channel, and we want to encourage that. At least in healthcare, a lot of people know us. In non-healthcare, we have a channel ecosystem in place. So, between our sales channel, our existing relationships, and the credibility we’ve built, that’s what’s driving many of the leads. It’s a more formal, defined sales momentum, whereas the very first sale was completely ad hoc.

    Nataraj: When you’re talking to prospective clients, who are the decision-makers, either in healthcare or smart cities? For example, with cloud products, it could be a top-down decision from a CIO or a bottom-up decision from developers.

    Shankar Somasundaram: It does depend, but I would say 80% of the time it’s the CISO, the Chief Information Security Officer, or someone in that area like the CIO who takes care of IT and cybersecurity. Beyond that, there is some dependency on the vertical. In healthcare, it could be the Chief Clinical Officer or Biomed. In smart cities, it could be someone who manages operations. In manufacturing, it could also be someone who manages operations. There is some nuance to every vertical, but the common thread across all of them is the CISO.

    Nataraj: I think of Asimily as a security company, but security is such a broad term. Can you give an idea of the layers in this industry, who’s capturing what value, and where you position Asimily?

    Shankar Somasundaram: We are focused on device-related security—IOMT, IoT, OT. Security has different layers like data security, network security, and email security. We are focused on the non-IT side. In the non-IT world, there is a different kind of value chain. There are part suppliers, full device suppliers (like someone who provides a traffic light or an ultrasound), and system integrators who put the entire network together. There are also people who manage and maintain these devices, which can run for 10 to 15 years. Then there’s an IT infrastructure, networking, and cybersecurity overlay. We come in after these systems have been connected. We fall into that IT, networking, cybersecurity, and even maintenance layer, because we provide some metrics that help with maintenance. A lot of what is done in these industries is manual. Our value proposition is to automate much of that and bring them to a similar state of capability as the IT side. That’s where Asimily fits in the value picture.

    Nataraj: You mentioned being number one in Gartner. How do you think about competition and differentiate Asimily from other companies doing similar things?

    Shankar Somasundaram: There are players in this space, but I feel there’s a lot more innovation to be done. We are launching two completely new modules now that are the first of their kind in the industry. I feel the industry is at 50-60% of where it needs to be. What eventually needs to happen is a much broader, wider set of capabilities. When I started Asimily, all people wanted was visibility. That’s still a big problem, but now people are asking for more. They’re asking for more and more with every passing year. They want to manage all their devices with similar parity to IT devices. So one level of differentiation is innovation. I think in a space like this, similar to AI, the winners will be decided over a 10-12 year timeframe as innovations play out and customers pick more capable, mature, and holistic platforms. The other place we differentiate is depth. Whether it’s inventory, vulnerability management, or incident response, we have some core differentiators. For example, everything is vulnerable, but which vulnerabilities can be taken advantage of by an attacker for that device in that specific environment? How do you mitigate it if there’s no patch? We have unique approaches to mitigation and remediation. So, depth of capabilities and continuous innovation are what will determine the winner.

    Nataraj: Security and the IoT space are huge. If you were to look at some white spaces for a new founder interested in security, is there any area you would suggest they look into?

    Shankar Somasundaram: It’s hard for me to say because I’m so focused on this. If there was a white space, I’d go to RSA and there would already be 10 companies attacking it. You could have said GenAI is a white space, but what if GenAI starts to misbehave? Now I see five companies doing GenAI security and compliance. This question is probably better suited for a VC who is looking at all spaces. But I do think a lot of things are happening in AI that open up a ton of opportunity in security. GenAI security is just one aspect. There’s an entire suite around data loss prevention and sandboxing around it. I think that will open up a ton of opportunities, and the companies I’ve seen are still scratching the surface. Then there will be something new that comes next year and that will open up another Pandora’s box.

    Nataraj: Speaking of GenAI, are you using it in any way to improve your own startup’s productivity, not just as a business offering?

    Shankar Somasundaram: Yes, we are using GenAI. We have some partnerships with some of the larger companies releasing GenAI tools. We are using it for our own internal productivity. We actually adopted a form of AI long ago for some of our research, building our own NLP algorithm to improve our research abilities. We have used GenAI more recently to improve our productivity, DevOps processes, and internal research. Beyond that, we have always been using AI in the product, even though we haven’t created a buzz around it. As GenAI comes in, it’s just an evolution for us. We’re introducing it into our engineering productivity and also have some uses in our product.

    Nataraj: Are there any specific products or companies you’re using that you can mention?

    Shankar Somasundaram: Right now, we are partnering with the big companies. We have a deep partnership with Google and we’re doing some work with Microsoft. We’re using those kinds of tools internally for our own productivity purposes. We never feed them any customer data; that’s a strict no. We use it for our own productivity, and as GenAI has evolved, we are continuing to evolve our own algorithms because there’s more scope to do so. But partnership-wise, we are leveraging some of the bigger, more established AI models to improve our productivity and go faster.

    Nataraj: And is the productivity gain meaningful? I’m asking because there’s so much hype in the news.

    Shankar Somasundaram: That’s a good question. If you ask me this in three to six months, I’ll have a more concrete answer. You’re right, there’s a lot of hype. We’ve asked ourselves internally if paying for these tools is really improving our productivity. Is it a 5% gain for all the work we are doing, or is it truly making us significantly better? We decided to try it out. We’ve been running this and we’ll see over the next two or three quarters and get an answer on how much better and faster we can move. I don’t have a real quantifiable answer right now, but it looks promising. We have to see whether it works for us or not.

    Nataraj: We’re almost at the end. I have a couple of quick questions I ask all my guests. First, what are you consuming these days? What are you reading or listening to?

    Shankar Somasundaram: I listen to some general podcasts like Masters of Scale and sometimes read Andreessen Horowitz’s content. As the company is growing, I’m trying to understand how to scale by talking to people in the industry who have grown bigger companies. My focus is on how the company scales—what happens when it grows bigger and larger. We’re operating internationally and growing every year. So I’m looking at that, and there are some podcasts and go-to-market books on that topic. But a lot of my thinking also comes from talking to mentors and people. That’s how I learn fastest—not necessarily reading or listening, but talking to people in the industry. I’m also part of some CEO forums, and our investors introduce us to other people.

    Nataraj: Who are your mentors that have shaped your career?

    Shankar Somasundaram: There are too many to name over my entire career. But specifically for Asimily, like I said, the company doesn’t exist without Mike Brown and Ashmeet Siddharth. Thanks to them. But over my career, many other people have gotten me here. I wouldn’t be a quarter of where we are without these mentors, and also the people you work with—your team members.

    Nataraj: One last question: what do you know now about starting a company that you wish you knew when you started Asimily?

    Shankar Somasundaram: That it’s going to be harder and take longer than you anticipated. You truly realize what that means when you run a company.

    Nataraj: That’s pretty much what every founder says. This was a really fun chat, Shankar. Thanks for coming on the show and sharing your story.

    Shankar Somasundaram: Thank you, Nataraj, for having me. Thank you so much.

    This conversation with Shankar reveals that securing our connected world isn’t just about technology but about a deep, contextual understanding of each unique environment. As industries from healthcare to smart cities continue to evolve, holistic security platforms like Asimily will be essential in protecting the critical infrastructure we all rely on.

    → If you enjoyed this conversation with Shankar Somasundaram, listen to the full episode here on Spotify or Apple.

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  • #77 Learn It All Mindset with CEO Damon Lemby

    Damon Lemby, CEO of Learn It, a company that has trained over 1.9 million individuals, shares his journey from professional baseball to the world of education, offering insights on leadership, learning, and the future of work.

    The Power of the “Learn It All” Mindset

    Lemby argues that the key to success in today’s dynamic world is not being a “know-it-all,” but embracing a “learn it all” mindset. This means being humble, curious, and constantly seeking new knowledge. He emphasizes that this approach is crucial for navigating the rapid changes in the business world, especially with the rise of AI.

    Overcoming Imposter Syndrome: A Practical Framework

    Recognizing that imposter syndrome is a common struggle, Lemby outlines a three-step framework for overcoming it:

    Identify the Source:  Clearly define what you’re worried about.

    Purposeful Awfulizing:  Imagine the worst-case scenario and determine if you can handle it.

    Work Hard, Focus, & Let Go:  Put in the effort, practice, and release the need for perfection.

    Navigating AI and the Future of Work

    Lemby believes that while AI will significantly impact the workforce, those who adapt and learn to leverage it will thrive. He advises companies to empower their employees with access to AI tools and encourage them to explore these technologies.

    Building Trust and Elite Teams

    Lemby emphasizes that a company is not a family, but a team that needs to be constantly evolving. He encourages leaders to build high-performing teams, recognizing that sometimes this may involve letting go of individuals who have reached their capacity within the organization. He also underscores the importance of giving people the benefit of the doubt, acknowledging that building trust is essential for long-term success.

    Invest in Your Growth:

    Lemby encourages listeners to invest in their own development, read biographies of successful individuals, and constantly seek new knowledge. He also shares his own investment philosophy, focusing on seed-stage companies and traditional businesses with a strong leadership team and a solid market fit.

    Key Takeaways:

    • Embrace a “learn it all” mindset for success in a dynamic world.
    • Conquer imposter syndrome with a practical framework.
    • Leverage AI for growth and prepare for the future of work.
    • Build elite teams and trust your employees.
    • Invest in your own development and seek out new knowledge.

    This conversation with Damon Lemby offers valuable insights for entrepreneurs, leaders, and anyone seeking to navigate the evolving business landscape.

    Send in a voice message: https://podcasters.spotify.com/pod/show/startupproject/message
    https://podcasters.spotify.com/pod/show/startupproject/episodes/77-Learn-It-All-Mindset-with-CEO-Damon-Lemby-e2kme2c

  • How Mighty Capital Defies the Odds of Technology Investing by Being Product-First

    In a world where venture capital success is often described as a game of chance, with a hit rate of one in 20 or even one in 30, Mighty Capital stands out. Founded by entrepreneur, product leader, & author SC Moatti, Mighty Capital has carved a unique path in the industry, focusing on a “product-first” approach and achieving a remarkable hit rate of one in five.

    On a recent episode of the Startup Project podcast, SC Moatti shared insights into her journey with host Nataraj SIndam, revealing the secrets behind her unconventional success.

    From Product Guru to VC Pioneer

    SC Moatti has a diverse background, ranging from a successful career in product management at companies like Meta and Nokia to founding her own companies and angel investing. Her passion for product excellence led her to establish “Products That Count,” a non-profit organization dedicated to fostering knowledge and best practices within the product management community. This platform has served as a valuable resource for Mighty Capital, providing valuable insights into emerging trends and identifying potential investments.

    The Product Mindset in Venture Capital

    Mighty Capital distinguishes itself by applying a product mindset to venture capital. This means looking beyond traditional metrics and focusing on the core elements of a successful product:

    • Team: They meticulously evaluate the team’s performance, board composition, and the CEO’s ability to be coached.
    • Traction: They seek companies with demonstrable revenue growth, analyzing revenue composition and customer references.
    • Market: They analyze the market, roadmap, and the company’s potential for growth.
    • Terms: They prioritize fair terms that foster a long-term partnership with entrepreneurs.

    This approach, combined with her deep understanding of the product landscape, and the unique network of Products That Count, has enabled Mighty Capital to invest in companies like Amplitude, Grok, Airbnb, and Digital Ocean, demonstrating a knack for identifying winners before they become mainstream.

    Beyond the Numbers: Building a Better Board

    SC Moatti also highlights the importance of board governance in early-stage companies. She teaches a course on the subject at Stanford’s Executive Program, emphasizing the critical role of board members in maximizing shareholder value through effective use of financial and human resources. She believes that effective board engagement transcends the traditional power dynamics, focusing instead on collaborative partnerships with founders.

    The Future of Product Management and AI

    SC Moatti believes that product management is a constantly evolving field, and emphasizes the need for ongoing learning and adaptation. She encourages aspiring product managers to engage with the product community through platforms like “Products That Count,” to keep up with the latest trends and challenges.

    When it comes to the future of AI, SC Moatti cautions against focusing solely on small, quick-win problems. She advocates for tackling larger, more complex issues, such as drug discovery, self-driving cars, and loneliness, areas where AI has the potential to revolutionize industries and improve lives.

    Key Takeaways for Startups

    SC Moatti’s insights offer valuable lessons for aspiring entrepreneurs:

    • Think big, start small: Focus on solving big problems but take a smaller, incremental approach to execution.
    • Invest in product excellence: Prioritize product quality and user experience as foundational elements of success.
    • Embrace lifelong learning: Continuously expand your knowledge and skills in the ever-evolving tech landscape.
    • Seek out mentors: Connect with peers and industry leaders who can offer guidance and support.

    Mighty Capital’s success serves as a testament to the power of applying a product mindset to the world of venture capital. By prioritizing a product-first approach and building strong relationships with entrepreneurs, they are defying the odds and shaping a new era of VC innovation.


    Nataraj is a Senior Product Manager at Microsoft Azure and the Author at Startup Project, featuring insights about building the next generation of enterprise technology products & businesses.


    Listen to the latest insights from leaders building the next generation products on Spotify, Apple, Substack and YouTube.

  • The Product-First VC: SC Moatti of Mighty Capital on Picking Winners

    What does it truly mean to be a ‘product-first’ venture capital firm? In a world saturated with startups, identifying companies with genuine, sustainable product-market fit is both an art and a science. We had the pleasure of sitting down with SC Moatti, the founder of Mighty Capital, a VC firm built on this very principle. With a rich and diverse background spanning academia, entrepreneurship, and now investing, SC brings a unique perspective to the table. In this episode, she delves into her decision-making framework, what distinguishes a great product from a great product manager, and the essential skills needed to succeed in today’s tech landscape. She also shares insights from her experience teaching at Stanford and serving on boards, offering invaluable advice for founders and aspiring investors alike.

    → Enjoy this conversation with SC Moatti, on Spotify or Apple.

    → Subscribe to our newsletter and never miss an update.


    Nataraj: You have a really interesting, diverse set of experiences. You have an overlap from academia, you did your own startup, and you’re also doing investing. Very few people have these interesting vantage points. I thought it would be great to have you talk about product development, venture capital, and your experiences. To get started, can you give a little background on what you have done in your career for our audience?

    Nataraj: Are all the companies that you mentioned investments from Mighty Capital, the fund that you’re running, or are they angel investments?

    Nataraj: Talk to me a little bit about how you are making decisions. Everyone has their own frame of decision-making, especially in the early stage. When you say “product-first” and identifying product-first companies, what does that mean in practice?

    Nataraj: How many investments does a fund make? Is it like a traditional venture fund where each fund is making 30 or 35 investments per fund?

    Nataraj: Does Mighty Capital operate like a traditional fund where you’re making 30 or 35 investments per fund, or are you operating in a different model?

    Nataraj: You’re also teaching at Stanford about startups. Can you talk a little bit about what you teach and what that experience has been like?

    Nataraj: What are some of the mistakes?

    Nataraj: What does it take to be an effective board member when you’re investing at a Series A stage?

    Nataraj: One of the things we keep hearing in terms of governance and startups is because of this dual-class shareholder system, there isn’t a lot of control on the board’s side. Is that how your experience has been? Is that a real trend or is that just people who don’t understand things talking about it?

    Nataraj: A common commentary around startups and boards has been that the boards don’t have full control because of dual-class shareholders and they can’t really have a real implication on what the founder is doing. Do you believe in that, do you see that changing, or is that just not the right way on how things actually happen?

    Nataraj: You also mentioned your students come with a lot of exposure to public investing. What is your take on how much focus there is on looking at data when you’re doing early-stage investments, given there isn’t much data available?

    Nataraj: To follow up on that, are there any specific things that you as an investor focus on more? For example, in my case, when I do pre-seed investing in SaaS, one important factor I focus on is whether one of the founders can really write great code or execute faster. That is one point I definitely want to have. After years of figuring out what a great pre-seed startup looks like, I’ve found that the only thing that really matters for me is this. Do you have certain criteria or things that you, through intuition or experience, focus on?

    Nataraj: It’s amazing. I’ve faced this when we are trying to get into a pre-seed round and some large investor comes and takes the round; that’s a very common scenario. I think 80% is pretty high, especially when you’re co-investing with such large brands. I want to get back to the notion of what makes a great product. I know you’ve written a book on it. I want to split this into two parts: what makes a great product, and what makes a great product manager?

    Nataraj: I definitely agree that one of the best ways to start a startup is to come with a big idea rather than a small one. Take a big idea, but create a smaller approach to that big idea. A lot of entrepreneurs misunderstand that and they pick a niche category thinking that it will blow up into a big category, but eventually, they realize that fundraising will become hard because there’s no bigger story to tell. If someone is starting out to become a product manager, what are the meta-skills that they should focus on to become a better product manager or product builder?

    Nataraj: We are almost at the end of our conversation. I wanted to ask a couple of questions that I ask all my guests. The first one is, who are the mentors that shaped your career or helped you progress?

    Nataraj: You can give names or books or partners you worked with that helped in your career.

    Nataraj: Do you have any favorite books that you go back to or are actively reading right now?

    Nataraj: If someone recently graduated and wants to get into product management or investing, what would be your advice for them?

    SC Moatti: There is going to be more to learn and more to do. But getting started on why you’re here on earth, what you are here to accomplish—you’re ready for that faster than you think.

    Nataraj: What is the best way for the audience to reach out to you?

    SC Moatti: I’m very easy to find on LinkedIn and on social. And if you want to drop me an email, it’s sc, just my initials, at mighty.capital, no dot com.


    This conversation with SC Moatti provides a clear and actionable framework for understanding what it takes to build a successful product and company. Her insights into the mindset of a product-first investor are essential for any founder seeking to navigate the venture capital landscape.

    → If you enjoyed this conversation with SC Moatti, listen to the full episode here on Spotify or Apple.

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  • How Scispot is redefining modern biotech’s data infrastructure

    Biotech is becoming one of the world’s single biggest generator of data, expected to reach 40 exabytes a year by 2025—outstripping even astronomy’s fabled data deluge. Yet as much as 80 percent of those bytes never make it into an analytics pipeline. Three bottlenecks explain the gap: (1) stubbornly paper-based processes, (2) binary or proprietary instrument file formats that general-purpose integration tools cannot parse, and (3) hand-offs between wet-lab scientists and dry-lab bioinformaticians that break data lineage.

    Verticalization 2.0: Solving for Domain-Specific Friction

    Enter Scispot, a Seattle-based start-up founded in 2021 by brothers Satya and Guru Singh, which positions itself not as an electronic lab notebook or a data warehouse, but as a middleware layer purpose-built for life-science R&D, quality and manufacturing. The strategic insight is subtle and powerful: horizontal cloud platforms already exist, but they optimize for structured, JSON-ready data. Biotech’s heterogeneity demands schema-on-read ingestion and ontology mapping that an AWS or Snowflake cannot supply out of the box.

    Scispot’s architecture borrows liberally from modern data stacks—an unstructured “lake-house” for raw instrument output, metadata extraction via embeddings, and API access to graph databases—but is wrapped in compliance scaffolding (SOC 2, HIPAA, FDA 21 CFR 11) that is prohibitively expensive for labs to build alone. The company is effectively productizing the cost of trust, a move that mirrors how Zipline built FDA-grade logistics in drones or how Databricks turned Apache Spark into audit-ready enterprise software.

    YC’s Real Dividend: Market Signal Discipline

    Although accepted to Y Combinator on the promise of a voice-activated lab assistant, Scispot pivoted within weeks when early interviews revealed that customers valued reliable data plumbing over conversational bells and whistles. This underscores a counter-intuitive lesson from YC alumni: the program’s most enduring value may not be its brand or cheque, but its insistence that founders divorce themselves from their first idea and marry themselves to user-observed pain.

    That discipline paid off. Scispot signed its first customer before writing a line of production code—a pattern consistent with what Harvard Business School’s Thomas Eisenmann calls “lean startup inside a vertical wedge.” By focusing on a tiny subset of users (labs already running AI-driven experiments) but solving 90 percent of their total workflow, the brothers accelerated to profitability in year one and maintained “default alive” status, insulating the firm from the 2024 venture slowdown.

    Why Profitability Matters More in Vertical SaaS

    Horizontal SaaS vendors can afford years of cash-burn while they chase winner-take-all network effects; vertical players rarely enjoy those economies of scale. Instead, their defensibility comes from domain expertise, proprietary integrations and regulatory moats. Profitability becomes a strategic asset: it signals staying power to conservative customers, funds the painstaking addition of each new instrument driver, and reduces dependence on boom-and-bust capital cycles.

    Scispot’s break-even footing has already shaped its product roadmap. Rather than racing to become an all-in-one “Microsoft for Bio” suite, the team is doubling down on an agent-based orchestration engine that lets instrument-specific agents talk to experiment-metadata agents under human supervision. The choice keeps R&D burn modest while reinforcing the middleware thesis: be everywhere, own little, connect all.

    Lessons for Operators and Investors

    1. Treat Unstructured Data as a Feature, Not a Bug. Companies that design for messiness—using vector search, ontologies and schema-on-read—capture value where horizontal rivals stall.
    2. Compliance Is a Product Line. SOC 2 and HIPAA are not check-box exercises; they are sources of price premium and switching cost when woven into the core architecture.
    3. Fundamentals Trump Funding. YC’s internal analysis, echoed by Sizeport’s trajectory, shows no linear correlation between dollars raised and long-term success. Default-alive vertical SaaS firms can wait for strategic rather than survival capital.
    4. Remote Trust-Building Is a Competency. Sizeport’s COVID-era cohort had to master virtual selling and onboarding. As biotech globalizes, that skill set scales better than another flight to Cambridge, MA.

    What Comes Next

    Sizeport’s stated near-term goal is to become the staging warehouse for every experimental data point a lab produces, integrating seamlessly with incumbent ELNs and LIMS. Over a five-year horizon, the company aims to enable customers to mint their own AI-ready knowledge graphs—effectively turning drug-discovery IP into a queryable asset class. If successful, the platform could evolve into the “Databricks of Biotech,” but without owning the data outright.


    Nataraj is a Senior Product Manager at Microsoft Azure and the Author at Startup Project, featuring insights about building the next generation of enterprise technology products & businesses.


    Listen to the latest insights from leaders building the next generation products on Spotify, Apple, Substack and YouTube.

  • #74 Sajid Rahman – Angel Investor Secrets – Lessons from 1000+ Startup Investments

    In this episode of Startup Project, host Nataraj sits down with Sajid Rahman, a prolific angel investor with over 1000+ investments under his belt. They delve into the evolving investment landscape, exploring the significant changes that have occurred since their last conversation a couple of years ago.

    • Guest: Sajid Rahman – Top Angel Investor – GP at My Asia VC
    • Host: Nataraj – Senior Product Manager, Investor at Incisive.vc & Startup Advisor

    From Bull Run to Downturns:

    Rahman notes a significant shift from the bull run of 20202021, where companies secured funding at sometimes unjustified valuations. Rising interest rates and global challenges have led to a market correction, with many startups facing down rounds or struggling to raise capital. However, this also presents opportunities for investors to enter laterstage deals at a discount.

    Secondary Market Dynamics:

    The conversation touches upon the impact of changing market conditions on secondary deals. Rahman suggests that many secondary deals from 2021 may not hold their value, citing examples like Robinhood and Stripe, which have seen significant valuation fluctuations. He also highlights the unique case of SpaceX and the potential spin-off of Starlink, which could offer earlier liquidity for investors.

    Demystifying Dry Powder:

    Rahman addresses the concept of dry powder  uninvested capital committed to VC funds. He clarifies misconceptions surrounding this term, explaining that LP commitments dont always translate to immediate deployment of capital. The decision to call capital depends on market conditions and the funds investment strategy. While the current dry powder might not reach the levels of 20202021, Rahman believes it will gradually return to the market as valuations stabilize and investor confidence grows.

    The Web3 Evolution:

    The discussion then shifts to the Web3 space, where Rahman actively invests in web infrastructure companies building on blockchain technology. He acknowledges the presence of scams and emphasizes the importance of thorough due diligence. Rahman outlines three key narratives driving the current Web3 boom: the intersection of AI and blockchain, realworld asset tokenization (RWA), and decentralized infrastructure development. He also observes a trend of Web3 companies opting for traditional equity models instead of tokenbased fundraising to avoid regulatory hurdles.

    Sajids Investment Approach and Portfolio:

    Nataraj and Rahman explore Sajids diverse investment portfolio, which spans angel investments, syndicates, and four different funds focusing on Web3, YC companies, general earlystage startups, and soon, AI. Rahman shares his insights on managing multiple funds and his strategy for sourcing deals, which involves both inbound inquiries and proactive outreach. He reveals that his personal investment portfolio is heavily skewed towards startups, reflecting his belief in their longterm potential.

    The AI Boom and Valuation Concerns:

    The conversation concludes with a deep dive into the AI space, where Rahman sees value creation in both foundational models and applicationlayer companies. While he acknowledges the hype surrounding AI startups and the potential for overvaluation, he believes the sector holds immense promise. Rahman is currently working on launching an AIfocused fund to capitalize on the opportunities within this rapidly evolving field.

    This episode offers valuable insights into the current state of the investment world and the trends shaping the future. Rahmans experience and perspectives provide valuable guidance for both aspiring and seasoned investors navigating the everchanging landscape.

    Additional Resources:

    #startup #investing #venturecapital #web3 #AI #angelinvesting #podcast #startupproject #secondarydeals #drypowder #blockchain #artificialintelligence #fundmanagement #YC #startupecosystem

  • #73 Brian Bell – From Product Manager to Full Time Investor

    Brian Bell is the Managing Partner at Team Ignite. Bell has experience in product development in AI at Microsoft, AWS, and startups.

    Full conversation includes:

    🔸Transition from Product Management to full time investing

    🔸Investing in YC

    🔸Operating an investing Syndicate

    🔸Growth hacks to grow your syndicate

    🔸Is AngelList loosing its advantage?

    🔸Red flags in pitch decks

    🔸If money was not an object, what would you be doing?

    & more.

    Listen now 👇

    Follow Brain on twitter here – https://twitter.com/brianrbell

    Follow Nataraj on twitter here – https://twitter.com/natarajsindam

    Follow 100 Days of AI here – https://thestartupproject.io/100-days-of-ai/

    Subscribe now 👇

    🔸Spotify – https://open.spotify.com/show/3Cx7Q5r9Ow9eikxQjsJjjq

    🔸YouTube – https://www.youtube.com/channel/UCs8lGcgpE7JC-alvUhMPk3g

    🔸Apple Podcasts – https://podcasts.apple.com/us/podcast/startup-project/id1551300319?uo=4

    #startups #angellist #investing

    Send in a voice message: https://podcasters.spotify.com/pod/show/startupproject/message
    https://podcasters.spotify.com/pod/show/startupproject/episodes/73-Brian-Bell—From-Product-Manager-to-Full-Time-Investor-e2ieh9s

  • #72 Todd Bishop GeekWire Co-founder, Business and tech journalist on big tech, AI and more!

    New episode with Todd Bishop, GeekWire’s co-founder.

    Todd is a longtime business and technology journalist who reports on subjects including AI, the cloud, startups, and health technology, plus Amazon and Microsoft, in addition to hosting GeekWire’s weekly podcast. This is Todd’s second appearance on the Startup Project podcast.

    In our conversation, we discuss:

    🔸 How is a tech business journalist using AI?

    🔸 Does AI live up to the hype?

    🔸 Covering Big tech’s AI strategy as Geekwire Editor

    🔸 Amazon’s ecommerce AI assistant

    🔸Why hasn’t Amazon integrated Alexa with an LLM?

    🔸Data privacy legislation in AI

    🔸Layoffs in tech

    🔸TikTok Ban, will it or will it not happen?

    🔸Much more

    Listen now 👇

    YouTube: https://www.youtube.com/channel/UCs8lGcgpE7JC-alvUhMPk3g

    Lister to Todd’s first appearance on the podcast here.

    Follow Todd on twitter here – https://twitter.com/intent/user?screen_name=toddbishop

    Follow Nataraj on twitter here – https://lnkd.in/gUJ_Gah

    Follow 100 Days of AI here – https://lnkd.in/g_8T8_rZ

    Send in a voice message: https://podcasters.spotify.com/pod/show/startupproject/message
    https://podcasters.spotify.com/pod/show/startupproject/episodes/72-Todd-Bishop-GeekWire-Co-founder–Business-and-tech-journalist-on-big-tech–AI-and-more-e2hrejp

  • #71 Peter Mueller Founding Partner Breakwater VC about Pre Seed Investing in Seattle Tech Startups

    In this episode Nataraj talked to Peter Mueller who is the founding partner of Breakwater ventures investing in early stage tech startups in Pacific Northwest and Wester Canadian Startups.

    The conversation includes:

    – how to think about angel investing & pre-seed investing?

    – Seattle pre-seed ecosystem

    – learnings from Seachange fund

    – thesis for breakwater

    – Whats making Western Canada an interesting place to invest?

    – investing in AI

    – long tail opportunity in AI

    & more.

    Follow peter on twitter here – https://twitter.com/pjsmueller

    Follow Nataraj on twitter here – https://twitter.com/natarajsindam

    Follow 100 Days of AI here – https://thestartupproject.io/100-days-of-ai/

    Send in a voice message: https://podcasters.spotify.com/pod/show/startupproject/message
    https://podcasters.spotify.com/pod/show/startupproject/episodes/71-Peter-Mueller-Founding-Partner-Breakwater-VC-about-Pre-Seed-Investing-in-Seattle-Tech-Startups-e2gt2b3

  • #70 Brendan Rogers From Founding WAG (NASDAQ: PET) to Investing in India

    In this episode Nataraj spoke to Brendan Rogers Ex Cofounder of Wag, a NASDAQ listed public company.

    Full conversation includes:

    • Origin story of WAG
    • Journey of investing in India
    • Why he is bullish on Indian startups?
    • Opinion on different sectors & more

    Listen to full conversation below:

    YouTube: https://youtu.be/DakyHNYpsQ4?si=ODH4G_8g65UEUPvx
    Spotify: https://open.spotify.com/episode/3ZAb7zfrzvGxVcEs4jGSOK?si=946c85e02bad4f85
    Other: https://podcasters.spotify.com/pod/show/startupproject

    To stay in loop for future conversations check out thestartupproject.io


    I write a newsletter called Above Average where I talk about the second order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, subscribe to it.

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