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Bengaluru, Karnataka, India
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Madhusudhan Rao reposted thisMadhusudhan Rao reposted thisIntroducing Swiggy Money on MCP. Until now, agents could help you discover, decide, and build an order. Now they can actually get things done. With Swiggy Money on all MCP - Instamart, Swiggy Dineout, Food, you can add money once and let your agent work on its own, without breaking flow every time there’s a payment step. That makes agentic commerce feel truly frictionless: discover decide order pay This is a small step in infra, but a big step in experience.
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Madhusudhan Rao reposted thisMadhusudhan Rao reposted thisMost companies say they support research—until "business priorities" take over and the budget quietly expires. In our Applied Science team, we’re flipping the script with a policy that actually forces innovation: 𝐃𝐞𝐝𝐢𝐜𝐚𝐭𝐞𝐝 𝐓𝐞𝐚𝐦 𝐁𝐮𝐝𝐠𝐞𝐭: A dedicated fund set aside specifically for publications, patents, and top-tier conference travel across the Applied Science team. 𝐏𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐄𝐧𝐜𝐨𝐮𝐫𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Even with product delivery as our top focus, managers actively encourage teams to tap into this fund whenever publication or conference opportunities arise. Getting this off the ground was no small feat. A massive shoutout to Pooja Jain Srinivas N Nishant Agrawal Madhusudhan Rao, who fought endlessly behind the scenes to secure this budget and build the policy. Thanks to their hard work, we now live in a world where your manager will actually ping you on Slack to make sure you're spending time on research! Because of their efforts, we've eliminated the classic friction between product deadlines and scientific output. Instead of viewing research as a distraction, managers are actively clearing roadblocks and protecting research time for the team. When you align incentives this clearly, pushing the boundaries of science becomes built into the operating system. How does your organization handle research and publication incentives?
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Madhusudhan Rao shared thisThis was a repeated ask from many users. UPI payments are now enabled for Swiggy MCP.Madhusudhan Rao shared thisIntroducing UPI Payments for Swiggy MCP this was one thing which every user asked for and finally I have an answer that its now in prod for both consumers using the swiggy on chatGPT/claude or other and for all the approved partners for Builders Club. agents can now complete the full loop. find what you want. build the order. pay. we're starting with UPI, more payment methods will follow. one more reason to automate your swiggy orders. back to building
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Madhusudhan Rao reposted thisMadhusudhan Rao reposted thismost apps/agents forget about you the moment you close them, SIA doesn't. Madhusudhan Rao demoed SIA, Swiggy's new AI assistant, at mumbai tech week rvery app interaction starts from zero. re-enter your preferences. Re-type your address. Re-explain your context. every. Single. time. SIA changes that. persistent memory: your past orders, preferences, and delivery details stay with you across every session so you dont have to start over. contextual nudges: if you drift or make a choice that goes against your own goals, SIA catches it and brings you back. skills and scheduling: built for the moments you always forget to plan for, not just the ones you ask about. the idea: an assistant that compounds. the more you use it, the more useful it gets. lunch is the simple example. But think about this across every surface of the app. Discovery, reordering, dietary goals, delivery preferences. SIA carries all of it. that's SIA, see it in action below coming soon to Swiggy App.
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Madhusudhan Rao reposted thisMadhusudhan Rao reposted thislooking for a dev rel at @Swiggy the role needs someone who has: - shipped code before (engineering background is a must) - built a developer or tech community from the ground up - handled external partnerships with labs, platforms, developers or companies! you’ll work at the intersection of commerce and developer ecosystems. bengaluru based send an email at builders@swiggy.in with subject “Hiring Dev Rel” with a simple assignment- way you would build and partner with communities and enterprises to scale this.
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Madhusudhan Rao shared thisMaking it even easier to build on our MCPs with our MCP Coding AgentMadhusudhan Rao shared thisYesterday, we shipped the docs, today, we shipped a AI teammate - Introducing Swiggy Coding Agent - a agent that already knows Swiggy MCP by heart - every tool, every parameter, every auth flow, every error code. Wire it into Claude Code, Cursor, Windsurf, or Codex, and your AI stops guessing. It reads authoritative Swiggy docs before it writes a single line. Just bring the idea. It picks the tools, wires the auth, scaffolds the project, and verifies against real schemas. You stay on what matters - the craft, the product, the thing only you can build. Long weekend's around the corner and you dont need access to start until you need to ship to prod! The hardest part of building on today is no longer reading the manual. It's deciding what to build. So decide, bring in your craft and customer obsession, and then go cook something with Swiggy Builders Club.
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Madhusudhan Rao shared thisOver the past few months, we’ve been opening up Swiggy’s commerce infrastructure to AI systems. Today, we’re taking the next step. With Builders Club, we’re giving developers and enterprises direct access to our AI commerce stack so they can build agents and applications that don’t just assist, but take real-world actions. Order food. Shop groceries. Book a table. This is a shift from APIs as endpoints to APIs as execution layers for AI. We’re building this on @AWS, with Amazon Bedrock and AgentCore, to ensure builders have enterprise-grade infrastructure from day one. We’re evolving from a platform to an ecosystem orchestrator - this is a fundamental shift towards powering the foundation for AI-native commerce. If you’re building in this space, we’d love to see what you create: mcp.swiggy.com/builders
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Madhusudhan Rao shared thisIncreasingly speech is becoming an important input medium. We’re thrilled to partner with India’s sovereign AI, Sarvam, to soon bring voice-led, multilingual ordering to Food Delivery, Instamart, and Dineout in Hindi, Kannada, Telugu, Tamil, Bengali, Marathi, and more. Payments handled end-to-end by Razorpay's agentic UPI infrastructure. We also rolled out MCP integrations recently. This is the layer that makes them truly inclusive because true accessibility means meeting users where they are, in the languages they speak. India is a voice-first nation. We're building a commerce platform that finally reflects that. Grateful to Pratyush Kumar and the Sarvam team, and to Harshil Mathur, Shashank Kumar, and Razorpay for making this come together.
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Madhusudhan Rao reposted thisMadhusudhan Rao reposted this🚀 We’re looking for an AI Architect(s) to shape the future of Swiggy and Instamart. You’ve probably used Swiggy to satisfy a midnight craving, or Instamart to get groceries delivered before you even finished brewing your coffee. You know the product, you love the convenience, and you understand the scale. Now, it’s time to move to the other side of the app. We are transitioning from being AI-assisted to AI-native, and we need visionary builders to lead the charge. We are looking for a highly technical, product-obsessed AI Architect(s) to join our team. The Mission You won't just be adding wrappers to APIs. You will be fundamentally reimagining how millions of Indians experience food delivery, quick commerce, and dining out. Working at the intersection of applied research and massive-scale engineering, you will help us build intelligent, agentic, and highly personalized systems that understand our users better than ever before. What You’ll Do Architect for Scale: Design and deploy robust AI architectures (LLMs, Context pipelines, Agentic workflows and Skills) that can handle Swiggy’s massive daily transaction volume. Bridge the Gap: Partner directly with Product Managers and core Engineering teams to translate cutting-edge AI capabilities into highly intuitive consumer products. Pioneer AI-Native UX: Move beyond traditional search bars and filters to create conversational, predictive, and autonomous consumer experiences across Swiggy and Instamart(Hint: Try and play around our recently released MCP). Drive the Vision: Stay ahead of the rapidly evolving AI landscape, identifying which foundational models and techniques will unlock the next big leap in convenience. Who You Are You are a builder who gets as excited about Context engineering as you do about user experience. You have deep intuition for how language models work, where they fail, and how to constrain them for reliable, consumer-facing production. You don't just want to train models; you want to ship products that millions of people will use tomorrow. How to Apply Forget the traditional cover letter. If you are ready to build the AI brain behind India's ultimate convenience platform, let's talk directly. Drop me a DM with: The most interesting, contrarian, or high-impact idea you have for how Swiggy/Instamart can use AI. A link to a recent project or GitHub repo. (And yes, we completely respect repos coded by Claude but architected and engineered by you!) Let’s build the future of convenience together. 🧡 Sidhant Panda Madhusudhan Rao Vipinkumar Tiwari Lazar Selvaras
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisMost companies say they support research—until "business priorities" take over and the budget quietly expires. In our Applied Science team, we’re flipping the script with a policy that actually forces innovation: 𝐃𝐞𝐝𝐢𝐜𝐚𝐭𝐞𝐝 𝐓𝐞𝐚𝐦 𝐁𝐮𝐝𝐠𝐞𝐭: A dedicated fund set aside specifically for publications, patents, and top-tier conference travel across the Applied Science team. 𝐏𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐄𝐧𝐜𝐨𝐮𝐫𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Even with product delivery as our top focus, managers actively encourage teams to tap into this fund whenever publication or conference opportunities arise. Getting this off the ground was no small feat. A massive shoutout to Pooja Jain Srinivas N Nishant Agrawal Madhusudhan Rao, who fought endlessly behind the scenes to secure this budget and build the policy. Thanks to their hard work, we now live in a world where your manager will actually ping you on Slack to make sure you're spending time on research! Because of their efforts, we've eliminated the classic friction between product deadlines and scientific output. Instead of viewing research as a distraction, managers are actively clearing roadblocks and protecting research time for the team. When you align incentives this clearly, pushing the boundaries of science becomes built into the operating system. How does your organization handle research and publication incentives?
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisSwiggy didn't send me an OTP last night. It sent me a link, then made me copy the OTP off a web page into the app myself. New phone, so I typed my number in and waited for six digits. Instead, an SMS with a link. I tapped it. "Are you trying to log in? We detected an unusual login attempt." Two buttons. Yes, it's me. No, it's not me. I tapped yes. That screen generated the OTP. I copied it out of Chrome and pasted it into the Swiggy app sitting on the same phone. My first thought was that somebody's sprint had gotten away from them. And it isn't a cost saving. The link came by SMS too, and OTP texts here run ₹120 to ₹200 per thousand ($1.26 to $2.09) either way. Then I sat with it, and the reason is good. With a normal OTP, a working code lands in your inbox before you've agreed to anything. Someone else triggers the login and the code exists anyway. Here, nothing exists until you tap yes. And that second button is the whole point. A normal OTP gives you no way to say no. This one lets you kill the login and hand Swiggy the attacker's device and IP while it's still happening. Most people here don't lose accounts to clever code. They lose them to a voice on a call saying "sir, just read me the OTP." Now the warning sits on the screen where you're deciding, not in an SMS footer nobody reads. So the link is defensible. I was wrong about that. But once I've tapped "Yes, it's me" from my own registered number, the login is already approved. Everything after that is theatre. Google solved this years ago. Tap yes on your phone. You're in. No digits. Swiggy built two thirds of that flow and left the last third to me. If you've shipped an auth flow: what's the security step your users hated most, and did you keep it or roll it back?
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisThe best engineering managers I've worked with had one thing in common: nobody on their team was invisible. Not the loudest engineer. Not the one who ships the flashiest feature. Everyone. I'm hiring an Engineering Manager at Swiggy. The team is 10+ people. Here's what I actually need: You can hold a team this size without losing the thread. Past 10, you can't be in every code review. You lead through clarity, delegation, and a few very good tech leads. If your instinct is to scale by working longer hours, this isn't the role. You can build a high-performance environment without leaving people behind. This is the hard one. Plenty of managers create intensity — few create intensity that people want to stay inside of. I think of it like a good sports team: a real bar for performance, real accountability, and a bench that gets developed instead of benched. Heart and standards are not a trade-off. If you've only ever done one, you're not done learning. You own the outcome. Not the sprint. Not the Jira board. The outcome. When it slips, you're the first to say so and the first with a plan. No handing the org a status update and calling it ownership. Swiggy is a good place to test all three. The scale is real, the pace is real, and the problems don't wait for a clean roadmap. If this sounds like the job you've been quietly doing already — or the one you're ready to grow into: send me a one-pager on why we should hire you. Not your CV. A page in your own words — the team you built, the call you got wrong, what you'd do in your first 90 days here.
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisFinally made it to Config26 in SF. I was lucky to be there as part of the Leadership Collective, and it was everything I'd hoped for. Incredible energy, thoughtful conversations, and the chance to reconnect with old friends and former coworkers since moving back to India. I absolutely loved meeting fellow design leaders from India and swapping stories about the very different (and often surprisingly similar) problems we're all trying to solve. Joy Banerjee Aizaz Rafiqi Aniruddh Jain Madhusudhan Rao Anmol Arora Shoaib Prasad Above everything else, the biggest thing I took away was something much simpler: I left feeling seen. It's easy to feel like you're constantly behind, especially right now with AI moving so fast. Spending a few days with so many smart people reminded me that almost everyone is still learning, experimenting, changing their minds, and figuring things out. Hearing about the journeys, pivots, and lessons were far more interesting than the optics of looking like you're ahead. Huge kudos to the Figma team for pulling off an event of this scale so seamlessly...and a special thanks to Meghna Kumar Meghna Seshadri Megha Nayak Dilip Sunil Punjabi Abitha Amruth And now I'm even more excited for Config India this October. If SF is anything to go by, we're in for something special 💛 Dylan Field Loredana Crisan Noah Levin
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisI ordered a cold coffee this weekend. A Classic Cold Coffee from Theobroma, ₹214 on Swiggy. What's so special about that? I never opened the Swiggy app. It was my first agentic commerce purchase. I connected Swiggy's Food Ordering MCP to Claude and asked for a cold coffee. Restaurant options, menu, cart, address, UPI request. I approved the payment, and the coffee was at my door in nine minutes. The setup was the easy part. Connect the MCP, give it access, ask for what you want. That is most of it. I usually spend a few minutes scrolling, comparing, changing my mind. This time I said what I wanted once, and the rest just happened.( of-course want to experiment) I did sit there smiling at my screen. Over a coffee. It is a small thing. One order, one coffee. But it is the first time I have bought something without ever seeing a shop/app, and I don't think it will be the last. Screenshots below. #learning
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Madhusudhan Rao liked thisMadhusudhan Rao liked thisTen years is a long time to do anything. I joined Swiggy in 2016. Four designers. A small room. An app that was just beginning to be the lifeline of many people who were hungry. I leave Swiggy after seeing an IPO, millions of users, and a product that became part of how India eats, shops, and lives every single day. In between, we built one of the celebrated consumer apps from India. We launched Instamart and redesigned it as its own product. We built the owner app that made restaurant partners feel seen. The delivery app that treated our delivery executives like the professionals they are. We went from few thousand orders a day to numbers that still feel unreal when I say them out loud. We imagined Swiggy Super, Swiggy One, Minis, Genie, Swiggy Daily, Crew and many more. Design was not merely a function; it was the foundation of our success. After twenty years of building, I am taking my first real pause - not because I am finished, but because I have the rare privilege to choose my next steps without urgency, a privilege I do not take lightly. Building the design team and the design culture at Swiggy, one that became revered in this country, that set the frameworks for how food delivery and quick commerce experiences are designed and thought about, is my biggest contribution. But most of all, an opportunity of a lifetime to work with the best people - That means everything to me. To Sriharsha M., Phani Kishan Addepalli, Nandan Reddy, and Girish Menon. You were my biggest supporters through all of it. The good years and the hard ones. It was a pleasure. Truly. To the entire leadership team and product, biz and engineering teams at Swiggy - thank you for the trust, the partnership, and for always showing up when it mattered. Madhusudhan Rao Anuj Rathi Anand Agrawal Himavant Srikrishna Kurnala It was a privilege to build alongside you. To all my designers and leaders at Swiggy design: Saptarshi Prakash Prasanna Venkatesh Divyanshu Bansal Soumya Jain Zulficar Muhamed Amrita Ganguly Abhisek Mishra Anjali Yadav Lalit Chaudhari Supreeth Samuk What we built together lives in every interaction, every decision, every person we designed for. You know what we built. You know what it took. Carry it well. Thank you Swiggy!
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Athil Krishna
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While much of the media is distracted by noise, India has quietly delivered a Bahubali-level AI breakthrough one that deserves national and global attention. Key highlights from Sarvam AI: • OCR accuracy: 84.3% (state-of-the-art) • Strong Indic language understanding & regional accents • Advanced voice AI capabilities • Outperforming ChatGPT and Google Gemini across key Indian benchmarks 🔥 Sarvam AI has unveiled indigenously built 30B and 105B parameter LLMs, trained entirely in India and optimized for real Indian contexts. Now comes the most symbolic moment. Two years ago, during his visit to India, Sam Altman stated that India could not build a large language model. Today, as the Indian AI Impact Summit concludes, Sam Altman himself is a chief guest at the event—while India stands having already built multiple large-scale, world-class LLMs. This isn’t coincidence. This is execution. Under the IndiaAI , the Government of India made bold, long-term investments. Today, India has access to 38,000 NVIDIA H200 GPUs, one of the strongest AI compute infrastructures globally. About a year ago, 4,000+ GPUs were allocated to Sarvam AI, enabling the creation of foundational models for the nation. Even before this summit, Sarvam broke advanced OCR benchmarks, outperforming GPT and Gemini. Now, with Sarvam Chat and large-scale LLMs live, India has entered the top tier of global AI builders. These models excel in: • Indic language understanding & generation • OCR and document intelligence • Speech, voice, and accent adaptability • Real-world Indian use cases—governance, enterprises, and citizens Built in India. Trained on Indian infrastructure. Designed for Indian realities. This is a proud moment we are not celebrating enough. Hats off to the builders. Hats off to Sarvam AI. Hats off to the Government of India. Hats off to the Indian AI Mission 🇮🇳 History will remember this moment @sarvam ai IndiaAI 🇮🇳 nasscom nasscom deeptech Pratyush Kumar @Vivek Raghavan
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Tanmay Singh Pundeer
DGLiger Consulting • 2K followers
India’s GCCs are no longer ‘back offices.’ They’ve become the ultimate disruptors, fundamentally reshaping the country’s software services industry. The shift is rapid, structural, and unavoidable. The real question is: 𝗜𝘀 𝘁𝗵𝗲 𝗜𝗻𝗱𝗶𝗮𝗻 𝗜𝗧 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘀𝗲𝗰𝘁𝗼𝗿 𝗿𝗲𝗮𝗱𝘆? The New GCC Mandate: Innovation, Not Cost The era of GCCs as simple cost-arbitrage hubs is over. They are now strategic engineering centers for Cloud, AI/ML, Cybersecurity, Data, and full-stack product development. ★ India is home to approximately 1,800 GCCs, projected to hit approximately 2,400 by 2030 (TeamLease). ★ New centers are focused on high-end work: Vanguard is targeting 2,300 professionals in Hyderabad by 2029. ★ 70+ new GCC announcements in the last 18 months, with BFSI, retail, and manufacturing leading demand. ★ The ANSR-GIFT City MoU is specifically accelerating "Next-Gen GCCs" in the IFSC zone, focused purely on tech and digital innovation. 𝗧𝗵𝗲 𝗚𝗿𝗲𝗮𝘁 𝗧𝗮𝗹𝗲𝗻𝘁 𝗪𝗮𝗿 - This evolution creates immense pressure on traditional IT service providers: 𝗖𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗲𝘀𝘀𝘂𝗿𝗲: GCC salaries are often higher than traditional IT/ITeS, leading to higher attrition and rising talent costs for service firms. 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗦𝗵𝗶𝗳𝘁: GCCs offer a strong product led culture and global project ownership, forcing service firms to rethink their career pathways and engineering roles. 𝗚𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝗶𝗰 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻: GCCs are expanding aggressively into Tier-2/3 cities for talent, requiring service firms to hire more aggressively outside traditional metro hubs. The Software Services Industry 𝗠𝗨𝗦𝗧 Reinvent With mid-level, routine work being internalized by GCCs, traditional volume-led models are under threat. The path to winning has shifted: ➤ 𝗣𝗶𝘃𝗼𝘁 𝘁𝗼 𝗛𝗶𝗴𝗵-𝗩𝗮𝗹𝘂𝗲, 𝗜𝗣 𝗟𝗲𝗱 𝗪𝗼𝗿𝗸: The focus must shift from manpower-driven delivery to outcome driven engineering excellence (Enterprise Architecture, AI/ML Strategy, Platform Engineering). ➤ 𝗖𝗼-𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝘀 𝗢𝘂𝘁𝘀𝗼𝘂𝗿𝗰𝗶𝗻𝗴: The future is collaborative, not transactional. Service providers must engage in joint innovation labs and co-engineering pods to deliver scale and execution maturity. ➤ 𝗡𝗲𝘄 𝗚𝗿𝗼𝘄𝘁𝗵 𝗘𝗻𝗴𝗶𝗻𝗲: "GCC-in-a-Box" Service providers can now build and scale the new GCCs for clients while offering everything from location strategy and talent ramp-up to governance and infrastructure setup. This turns a market threat into a multi-billion-dollar revenue opportunity. Final Thought - The winners in the Indian tech ecosystem won't be the ones focused on minimizing cost, but those that move fastest toward innovation-led, consulting-driven, high-complexity work. Is the "GCC-in-a-Box" model a sustainable new growth vector for traditional IT service companies? #GCC #IndiaTech #ITServices #DigitalTransformation #Innovation
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Akhil Suhag
CleverTap • 17K followers
There are so many posts and videos stating and showing how and why NIRMA "lost" the washing powder battle. Nirma's numbers tell a different story. FY 2023/24 they did above 10,000 cr in revenue and 1400cr in EBITDA. The founder Karsanbhai Patel is currently estimated to have a new worth of about 45000cr. Not the numbers of someone who lost. So what did happen. The FMCG detergent category became a capital-intensive advertising arms race- TV stars, huge budgets, razor-thin margins. Instead of burning cash to “stay visible,” Nirma shifted into industrials and chemicals- soda ash, LAB, cement assets, life sciences- where scale and engineering, not celebrity ads, determine profits. Most people judge businesses by billboard presence. But visibility ≠ value. Nirma didn’t disappear. It simply stopped competing in the noisiest arena and won quietly in some other profitable ones. You don't lose a battle you decide not to be a part of. I am not sure Nirma "Lost" anything.
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Ansh Vashistha
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Most people know Shruti Gandhi as “the solo GP behind Array Ventures” But that barely captures the scale of what she’s actually doing. Shruti starts as an engineer. Nearly a decade at IBM, building real products in middleware, collaboration, and emerging tech long before “AI infra” was a category. Then she layers on Columbia CS and a Chicago Booth MBA. Code and capital in the same brain. Before Array, she invests at Samsung Next and True Ventures. Early checks into teams that end up getting acquired by Apple, McGraw Hill, Samsung, and others. Learning how platforms, infra, and markets evolve from the inside. Then she does something most people only talk about. She starts her own fund. At Array Ventures, Shruti leads at company formation. First check into 80+ AI infra startups. Over 100 companies backed at the earliest stages, now worth billions. 15+ exits in a few years, all while keeping decision-making fast, technical, and founder-first. On top of that, she serves on the SFERS board, helping steward a $25B+ pension fund bringing the same discipline she uses with founders to the way cities invest for the long term. What I admire most is the through-line. Deeply technical. Radically early. Patient enough to let real infrastructure compound. If you want to study what it looks like to be both underestimated and unstoppable in venture, Shruti Gandhi is the blueprint.
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Sreekanth G S
M2P Fintech • 6K followers
When the world is moving towards decentralised governance and technology, to enforce resiliency and higher accountability, we are moving more and more centralized. We are creating institutions that are too big to fail. RBI wanted to address this with NUE, but we all know where that is today. Centralized Payments (UPI), Identity (Aadhaar), Health (ABHA), Data (Account Aggregation), Bill Payments (BBPS), FasTag, and now, we are centralising Net Banking Aggregation. Outage or failure of any one of these centralized systems can cripple our life. How much ever resiliency we add from a technology angle, they are all bound to fail one day. I’m vehemently putting my foot down to avoid fully being reliant on some of these, but how many would there by like me?
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Madan Pernati .
Sycamore Informatics Inc. • 2K followers
𝗜𝗳 𝗜𝘁 𝗪𝗼𝗿𝗸𝘀 𝗶𝗻 𝗜𝗻𝗱𝗶𝗮, 𝗜𝘁 𝗪𝗼𝗿𝗸𝘀 𝗔𝗻𝘆𝘄𝗵𝗲𝗿𝗲—𝗢𝗿 𝗗𝗼𝗲𝘀 𝗜𝘁? A founder pitched his SaaS Product. “India first, then global.” Investor: “Why India first?” “Indian customers are toughest. Enterprise quality at startup pricing. If we survive here, we win anywhere.” Investor nodded. Then: “Have you tried the US market?” Pause. “Not yet. We’re not ready.” — 𝗧𝘄𝗼 𝗩𝗲𝗿𝘀𝗶𝗼𝗻𝘀 𝗼𝗳 “𝗜𝗻𝗱𝗶𝗮-𝗙𝗶𝗿𝘀𝘁” One is strategic. One is avoidance disguised as strategy. ↳ Strategic: Building for extreme constraints creates innovation that scales ↳ Avoidance: Labeling difficult markets as “training” while dodging markets requiring different capabilities — 𝗧𝗿𝘂𝘁𝗵 #𝟭: Constraint-driven innovation works. Low bandwidth, price-sensitive customers, fragmented infrastructure—these force elegant solutions. WhatsApp succeeded globally solving for Indian internet. Zoom’s architecture came from emerging market connectivity. You can’t hide bloated features or mask poor UX. Legitimate strategy. 𝗧𝗿𝘂𝘁𝗵 #𝟮: Some founders confuse “hard to sell” with “makes us stronger.” What they’re avoiding: ↳ Enterprise credibility they haven’t built ↳ Regulatory expertise they don’t have ↳ Brand positioning beyond “cheaper alternative” ↳ Different buying experiences Western customers expect — 𝗧𝗵𝗲 𝗧𝗲𝘀𝘁 Your India strategy works if you’re: ↳ Building for constraints that create portable innovation ↳ Mastering unit economics that scale ($3 to $50 ARPU) ↳ Testing global markets early to learn what transfers It fails if you’re: ↳ Perfecting product before facing “sophisticated” buyers ↳ Avoiding markets requiring different sales approaches ↳ Assuming local credibility transfers globally — 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 Am I solving for constraints that create innovation, or avoiding markets that expose gaps? If I launched in the US tomorrow, what breaks—and am I building those capabilities now? That reveals whether “India-first” is strategy or stalling. — 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝘀𝗰𝗮𝗹𝗲𝘀. 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝘃𝗼𝗶𝗱𝗮𝗻𝗰𝗲 𝘀𝘁𝗮𝗹𝗹𝘀. #Leadership #Startups #ProductStrategy #GlobalExpansion #SaaS
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Aditya Arora
Faad Capital • 171K followers
Agilitas x Virat Kohli partnership is one of the masterstroke deals I have seen in recent times. Virat invests 40 CR in Agilitas for a 1.94% stake, putting Agilitas’s valuation around 2000 CR. 📈 In turn, Agilitas acquires one8world, making Virat a co-founder and shareholder. They now get two very important growth levers: ⬇️ 1. A powerful manufacturing (via Mochiko Shoes - a 600 CR+ footwear brand that Agilitas acquired in 2008 ), 2. India’s biggest athlete — exclusively aligned. Easily becomes a 4000 CR revenue brand in the next 5 years. Footwear + retail scale requires capital — but this partnership compresses customer acquisition, product cycles, and brand-building like few others. Even Virat said in his podcast with Abhishek Ganguly, the co-founder of Agilitas that, “I didn’t want a brand deal… I wanted to build something that outlives me.” And Abhishek said something even beautiful - “An ambition to build from India but be globally relevant.” This isn’t marketing. This is legacy building with shared skin in the game. And that is how startups work - shared ambition with one goal (to make the company big) and food (read stake) in the table for everyone! A company that can be built in the long term with culture, capital, and conviction aligned. This might be the first time in India, where an athlete joins hands with a sport company to re-imagine and build the sport ecosystem of India - truly revolutionalising the game with a clear vision. 🙌
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Sunny Narang
Center for Embodied Knowledge • 5K followers
#StartupMafia 3.0… and the Coming Startup Mafia 4.0 An interesting story in the The Economic Times today, by Disha Acharya & Puran Choudhary, highlights how companies like Razorpay, Cred, Meesho and PhonePe have become “founder factories,” spawning 200+ new startups. This phenomenon—often called the Startup Mafia effect—is actually a sign that an innovation ecosystem has matured. Silicon Valley saw it first with the PayPal Mafia. India is now seeing the same pattern. Startup Mafia 1.0 (2007–2016) The first wave came from pioneers like Flipkart and Paytm. This era built India’s consumer internet economy. Focus sectors included: • e-commerce • online marketplaces • payments • consumer apps This phase proved that large digital businesses could be built in India. Startup Mafia 2.0 (2014–2021) The second wave rode the mobile internet explosion after Jio. Companies like: • Ola • Oyo • Swiggy • Zomato trained a generation of founders who understood scaling operations, logistics and hypergrowth. India’s startup ecosystem moved from experimentation to unicorn-scale companies. Startup Mafia 3.0 (2018–Present) Today’s wave is driven by companies like: • Razorpay • Cred • Meesho • PhonePe The backbone of this phase is India’s digital public infrastructure: UPI Aadhaar cheap cloud infrastructure developer ecosystems Many new startups emerging from these companies focus on: • fintech infrastructure • AI-native software • cross-border payments • SaaS tools. Startup Mafia 4.0 (Emerging) But the next wave may look completely different. Instead of consumer apps, it will likely come from deep-tech ecosystems. Places like: • IIT Madras Research Park • semiconductor clusters in Bengaluru and Hyderabad • robotics and EV startups • industrial analytics companies. Here we see companies like: • Ather Energy • AgniKul Cosmos • Detect Technologies • Gyan Data training engineers who will eventually become founders themselves. The earlier waves digitised commerce and payments. The next wave may digitise machines and infrastructure. Instead of apps connecting people… we will see platforms connecting: • factories • vehicles • industrial machines • supply chains. This is where mechatronics + IoT + AI come together. If sensor data, embedded electronics and cloud analytics are layered onto these machines, they can become connected intelligent assets. Predictive maintenance, uptime guarantees and performance optimisation become possible—even for affordable machines. Industry 4.0 for the Real Economy Germany built Industry 4.0 for high-end factories. India may build Industry 4.0 for millions of machines used across the Global South. And that next generation of founders—Startup Mafia 4.0—may emerge not from consumer apps, but from mechatronics, IoT and industrial intelligence ecosystems. The next startup revolution may not just connect people. It may connect the machines that power the real economy.
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SAG Sagayanathan
Indifly • 4K followers
The Hidden Complexity Behind a Simple UPI Transaction. Most users see a UPI transaction as a simple three step process: Open App --> Enter UPI ID / Scan QR --> Enter PIN Money moves in seconds. What users don't see is the sophisticated ecosystem working behind the scenes to make that experience possible. A single UPI transaction typically involves: • The customer application (PSP App) • The remitter bank • The beneficiary bank • NPCI's UPI switch • Fraud and risk monitoring systems • Device binding and authentication services • Reconciliation and settlement systems • Dispute management frameworks Within a few seconds, multiple API calls are exchanged, validations are performed, fraud checks are executed, account balances are verified, and transaction statuses are synchronized across participating entities. What makes this even more challenging is the expectation of near perfect availability. Users expect payments to work instantly, whether they're paying ₹10 for tea or ₹1 lakh for a business transaction. Behind every successful UPI payment lies years of infrastructure investment, regulatory compliance, operational monitoring, and collaboration between banks, fintechs, and technology providers. As digital payments continue to grow in India, the focus is no longer just on enabling transactions but it's about delivering speed, reliability, security, and trust at scale. The next time you hear the familiar "Payment Successful" notification, remember that a complex network of systems worked together in milliseconds to make that happen. #UPI #DigitalPayments #FinTech #ProductManagement #Banking #Payments #NPCI #Technology #IndiaStack #ProductLeadership
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GAYALA KOUSHICK
Marwadi University • 196 followers
Excited to share my latest project, CartSaver AI, built for the Razorpay AI Buildathon 2026 (Track 3: AI Revenue Recovery)!! Every day, thousands of checkouts fail due to bank timeouts, card declines, or failed OTPs, leaving massive amounts of revenue on the table. While most recovery tools rely on generic, one-shot messaging, CartSaver AI is an autonomous multi-step agent that closes the loop end-to-end: score, prioritize, diagnose, escalate, stop, and log. *Key Architectural Highlights: ML Recovery & LTV Scoring: Predicts recovery likelihood via scikit-learn models and combines it with customer LTV scores so efforts target high-value customers first. *Google Gemini Diagnosis: Uses Gemini to analyze why a payment failed and dynamically draft context-specific recovery messages. *Deterministic Safety Boundary: A core philosophy of this build—AI Proposes, Deterministic Policy Decides, Bounded Simulator Executes. The LLM never decides when to stop contacting a customer; compliance-critical limits like maximum attempts and score thresholds are strictly hardcoded in plain Python. *Transparent Audit Trail: Every decision, reasoning path, and outcome is written to a full audit ledger viewable via an interactive operations dashboard. Across a 300-cart batch: ₹16.3L at risk → ₹5.36L recovered (27.33% recovery rate) — calibrated to real-world benchmarks, not an inflated demo number. Tech Stack: Python, FastAPI, Streamlit, scikit-learn, Google Gemini API, SQLite, and pytest. Explore the live project and code: 🚀 Live Streamlit Dashboard: https://lnkd.in/gCSZQSC6 🔌 Live Backend API: https://lnkd.in/gN7vYp2g 📂 GitHub Repository: https://lnkd.in/gU8PeerH Built with rigorous safety controls and a focus on measurable impact. I would love to hear your thoughts and feedback! #RazorpayAIBuildathon #AI #MachineLearning #FastAPI #Streamlit #GoogleGemini #RevenueRecovery #Python
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