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MongoDB director Hope Cochran sold 1,000 shares of common stock on 17 September 2026, according to an SEC Form 4 filing. The transaction was executed at a weighted average price of $375.92 through a Rule 10b5-1 trading plan. Following the sale, Cochran retains 28,326 shares in the company, representing approximately 0.0352% of MongoDB's total outstanding shares. The retained position is valued at approximately $11.14 million. MongoDB's stock closed at $407.30 on 21 September 2026, representing an 8% premium to the director's sale price. The company has a market capitalisation of $32.8 billion and reported trailing twelve-month revenue of $2.8 billion.

What $350M in growth taught Mayur Nagarsheth about startup success. How do you take a company from $8 million to over $350 million in revenue and then use that same playbook to help startups chart their own million-dollar journeys? Mayur Nagarsheth has spent nearly 20 years answering that question from inside some of tech's most iconic enterprises and fastest-scaling startups. A trusted advisor to emerging ventures and a strategic force behind MongoDB's explosive growth, Nagarsheth has seen the full arc of what it takes to build, scale, and sustain momentum. In this exclusive Q&A he shares what separates successful founders from the rest, how to stay focused in a noisy AI-driven world, and why the real magic happens when strategy meets empathy. Charente Carr: Mayur, for readers unfamiliar with your background, how would you introduce yourself? Mayur Nagarsheth: I'm a tech leader with nearly two decades of experience helping companies solve complex data and growth challenges. While at MongoDB, I worked closely with clients like Cisco, Apple, and Informatica to design solutions and navigate data strategy at scale. Internally, I helped drive MongoDB's revenue from $8 million to over $350 million. Today, I advise early-stage startups looking to follow a similar path: from zero to multi millions in ARR while scaling another AI company to multi billion valuation. Helping companies scale what matters is what motivates me most. Whether it's a Fortune 500 navigating complexity or a founder facing their first real inflection point, I love being part of that journey. The impact you can have, especially in the startup space, is what keeps me going. C: You've worked with both large enterprises and early-stage companies. What were some recurring challenges in enterprise environments? M: Each enterprise is different, but one universal challenge is that they often don't know what "good" looks like. Part of my job was helping them set a vision, so defining where they need to go and what success means for them. That requires deeply understanding their requirements and what's at stake if they don't solve their problems. Only then can Under30CEO map a path forward. There's no silver bullet. At MongoDB, its success came down to exceptional, smart, strategic hard work - year over year, quarter after quarter. Under30CEO built deep relationships with its customers. To me, it's like a marriage. You need to understand your customer's needs, background, and goals. Under30CEO used methodologies like MEDDIC to map out their current and future states and define the success metrics that matter. That clarity drove real results. C: What made you transition from enterprise execution to startup advisory? M: In a startup, you wear multiple hats. You can experiment, fail fast, and learn from it. Unlike in an enterprise, where you're just a drop in the ocean, in a startup you can move the whole ship. That kind of ownership and learning opportunity is incredibly rewarding. Funny enough, when I joined MongoDB in 2017, it was still operating like a startup, with small revenue, lean teams, and a regional focus. Scaling the West business from $8 million to over $350 million showed me I had a blueprint that worked. I realized I could help other startups do the same. Since then, I've advised tech companies like BitWage, GlibAI, Avocado Systems, and Matchbook AI. C: When advising startup founders, what do you look for before offering guidance? M: It's all about drive and willingness to learn. I don't care if you're a technical genius or an MIT grad. If a founder has a solid understanding of the tech industry and the hunger to build something meaningful, that's enough for me to step in and help with go-to-market and scaling strategies. It's easy to get distracted. Founders often chase whatever trend is hot. I always bring them back to two things: the people and the product. Believe in what you're building. Manifest the goal. Constantly remind yourself where you are, where you're going, and why. The path may change, but the end goal should stay fixed. C: The tech world is riding the AI wave right now. What's your take on it? M: This isn't a bubble. AI is fundamentally changing how Under30CEO work. It's making teams more efficient and opening doors to innovation Under30CEO haven't yet imagined. But I caution founders: don't build something just to make money. Ask yourself: is this a "multivitamin" or a "painkiller"? Multivitamins are nice-to-haves. Painkillers solve real, urgent problems. Go for the painkiller. To founders of AI initiatives, I would say network relentlessly. Talk to investors, potential customers, friends, even people who tell you your idea won't work. The naysayers are often your best allies. Their harsh feedback may sting, but it's what forces you to refine your approach and ultimately succeed. To follow Mayur Nagarsheth's insights or connect for advisory opportunities, visit his LinkedIn.

MongoDB's growth prospects under scrutiny. Sep 12, 2026 · dev MongoDB's Atlas dilemma: sustaining growth in a post-pandemic world. MongoDB's latest quarterly report has left analysts scrambling to assess the durability of Atlas demand, the company's cloud-based database service. The numbers look impressive: 30% revenue growth and a 91% increase in remaining performance obligations (RPO). However, concerns about the sustainability of this growth begin to emerge when examined closer. The disparity between Atlas and Enterprise Advanced revenue is striking. While Atlas expanded by 29%, Enterprise Advanced and other revenue grew at a rate of 36%. This raises questions about the underlying drivers of MongoDB's growth: Is it the company's ability to scale its infrastructure and research costs more slowly than revenue, or is there something more fundamental at play? MongoDB's total customers have increased by over 11,000 since last year, with Atlas customers reaching a staggering 69,300. Yet, what does this mean for the company's long-term prospects? Will the market continue to support this level of growth, or will the inevitable slowdown in enterprise spending take its toll? Historically, MongoDB has been at the forefront of the cloud-first movement in databases. Its Atlas platform has disrupted traditional database providers like Oracle and Microsoft, attracting a new generation of developers who value flexibility and scalability. However, as the market continues to evolve, MongoDB faces increasing competition from newer players like Snowflake and Cockroach Labs. A potential concern is that MongoDB's RPO growth may not necessarily translate to revenue growth in the same period. The company has raised its fiscal 2027 guidance to $2.99 billion to $3.03 billion, but there are no guarantees this will materialize. The market has been known to be unforgiving when it comes to overpromising and underdelivering. MongoDB's decision to expand search and vector-search capabilities across cloud, private-cloud, and self-managed environments takes on new significance in this context. By investing in these areas, the company is betting that its customers will continue to demand more from their database providers. However, whether this will be enough to sustain growth in a post-pandemic world, where enterprise spending is under increasing pressure, remains uncertain. The answer lies not just with MongoDB but with broader market trends shaping the industry. As companies like Snowflake and Cockroach Labs gain traction, it's clear that the database landscape is becoming increasingly complex. MongoDB must navigate this new reality while continuing to innovate and disrupt. Ultimately, the question of Atlas demand durability hangs in the balance. Will MongoDB be able to sustain its growth momentum, or will the market prove too unforgiving? Only time will tell, but one thing is certain: the company's future depends on it. The coming quarters will be crucial for MongoDB as it continues to navigate this new landscape. Its ability to deliver on promises and sustain growth momentum will be put to the test, and the stakes have never been higher for this once-promising cloud-first database provider. Reader views. * TS The Stack Desk · editorial The Atlas growth numbers are indeed impressive, but let's not get too caught up in the excitement just yet. A closer look at MongoDB's balance sheet reveals that the company is still heavily dependent on upfront payments from customers, which can create volatility in revenue recognition. This could be a concern if Atlas adoption starts to slow down or if the company faces increased competition in the market. It's time for investors to start digging deeper into the financials and separating hype from substance. * AK Asha K. · self-taught dev The elephant in the room is MongoDB's customer mix: 69,300 Atlas customers versus a paltry 11,000 Enterprise Advanced customers. Can this model sustain itself? The answer lies in how well MongoDB can upsell and cross-sell its Atlas users into more lucrative offerings. Its aggressive growth strategy may be built on shaky ground if it fails to close the gap between these two segments. * QS Quinn S. · senior engineer The Atlas dilemma is indeed a tricky one for MongoDB. While the numbers look great on paper, there's more to consider here than just revenue growth and customer count. The fact that Enterprise Advanced revenue outpaced Atlas by 7% raises questions about whether Atlas is truly driving this growth or if it's just a byproduct of the company's aggressive expansion into cloud services. As the market continues to evolve, MongoDB will need to show that its Atlas platform can not only keep pace but also continue to innovate and adapt to changing customer needs.