saasboomi on LinkedIn

A final-year engineering student building his own AI startup asked me something between sets yesterday. 𝗜𝗳 𝗔𝗜 𝗶𝘀 𝗺𝗮𝗸𝗶𝗻𝗴 𝗶𝘁 𝗿𝗶𝗱𝗶𝗰𝘂𝗹𝗼𝘂𝘀𝗹𝘆 𝗲𝗮𝘀𝘆 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀, 𝘄𝗵𝘆 𝗱𝗼 𝘄𝗲 𝗲𝘃𝗲𝗻 𝗻𝗲𝗲𝗱 𝗮𝗻 𝗔𝗜 𝗳𝗼𝘂𝗻𝗱𝗲𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆? It was a fair question, and my first instinct was to draw a parallel to the gym we were standing in. Today, almost anyone can learn how to train. YouTube has every workout imaginable. AI can build a personalized workout plan, calculate your calories, optimize your macros, and explain progressive overload better than most trainers. Yet gyms are fuller than ever. Because knowledge doesn't build muscle. Showing up does. Consistency, being surrounded by people who push you harder, and having someone correct your form before it turns into an injury. They all count too. I think building companies is beginning to look a lot like that. AI has dramatically lowered the barrier to building products. The distance between an idea and a working prototype has never been shorter. Soon, we'll all have access to the same models, the same tools, and the same ability to ship software at incredible speed. But building a product was never the finish line. Building a company is. That's why communities still matter. Not because they teach us how to build, but because they help us answer the questions AI can't. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝘁𝗵 𝘀𝗼𝗹𝘃𝗶𝗻𝗴?  𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗲𝗮𝗿𝗻 𝘆𝗼𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗯𝗲𝗹𝗶𝗲𝘃𝗲𝗿𝘀?  𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗳𝗶𝗻𝗱 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻?  𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗺𝗮𝗸𝗲 𝗵𝗮𝗿𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗶𝗻𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻? No prompt can replace the judgment that comes from people who've walked the path before you. AI will continue to commoditize building. The best communities, I believe, will make belonging impossible to commoditize. That's something we've consciously embraced at AIBoomi (formerly SaaSBoomi). It's a lens we keep coming back to every time we design an event, launch an initiative, or create a new experience for founders. The question no longer stops at, 𝙒𝙝𝙖𝙩 𝙘𝙖𝙣 𝙛𝙤𝙪𝙣𝙙𝙚𝙧𝙨 𝙡𝙚𝙖𝙧𝙣 𝙝𝙚𝙧𝙚? It moves to, 𝙒𝙝𝙖𝙩 𝙖𝙙𝙫𝙖𝙣𝙩𝙖𝙜𝙚 𝙘𝙖𝙣 𝙩𝙝𝙚𝙮 𝙡𝙚𝙖𝙫𝙚 𝙬𝙞𝙩𝙝 𝙩𝙝𝙖𝙩 𝘼𝙄 𝙘𝙤𝙪𝙡𝙙 𝙣𝙚𝙫𝙚𝙧 𝙜𝙞𝙫𝙚 𝙩𝙝𝙚𝙢? In hindsight, maybe that's what we've been building all along. :)

Submitted my product to OpenAI hackathon hosted by Devpost. Not to win or something. Just that I like the product I created, it gave me a platform to learn AI. Used the $100 OpenAI Credits given by AIBoomi (formerly SaaSBoomi) (thanks to Avinash Raghava for hosting such Hackathons in Bengaluru ).. With this OpenAI Hackathon, I have realised that I had CodEx access all this time with my ChatGPT plus subscription. Never used it, was always on Claude, Cursor, Antigravity, Kiro etc. CodEx is very similar to Claude Code... Their new model - GPT 5.6 is as good as Claude Sonnet. Please see my submission here & try my product (https://bidmyhobby.com) & share your feedback for improvements. P.S. : Not edited by AI :) Submission Link : https://lnkd.in/dugcRdFP

Day 0 of #DotDev started with a bang. We kicked things off at the Shopify App Show Live, hosted by Anggy Isaza from The Support Heroes and Martin Cox from Native App Co. It was great to see Yash Chavan there, and the panel was packed with honest, practical insights. Gavin McKew from Shero Commerce especially stood out with his candid advice and refreshingly direct perspective. Then came the Zapiet Epic Party, which was absolutely insane, as always. A big thank you to Emili M Horncastle and Andrew Cargill from Zapiet for inviting us. It was great catching up with so many old friends from the Shopify community. Also, the StarApps Studio outfits definitely deserve a special mention. Great seeing you, Shashank Agrawal, Santosh Panda and Anees v! Another highlight was hearing that Appmaker has been acquired by StarApps. I have known the Appmaker team since we first met at SaaSBOOMi almost five years ago, so this news felt especially exciting. Very happy for everyone involved. I also finally got to meet Maurice Kherlakian from Hookdeck. We have been using Hookdeck at BotSpace for over five years, so it was great to finally meet someone from the team in person. Also had a fun time catching up with Taylor Page from ShopDev Alliance and Trudy MacNabb We ended Day 0 of DotDev on a high. Now, onto the main event! 🚀

For the last six months, something has been quietly finetuning in the background at AIBoomi. Today it goes live: https://lnkd.in/gTPfVAuC AIRadar is a living map of India's AI startup ecosystem. Till this week 114 startups profiled, 240+ founders, five new stories every week. Not a one-time list that goes stale, but an always-on radar of the founders and companies reshaping how software gets built. What I love most is who it points to. Many of these founders aren't dominating feeds or speaking at every conference. They are heads-down, shipping. AIRadar exists to make them visible before the market catches on, and to document this ecosystem while it is still being written. Everything is in one place now. Searchable by sector, by founder, even by the problem a company is solving. Open and free, the way community infrastructure should be. None of this happens by accident. My thanks to Jay Ingle, who curates and operates AIRadar for our ecosystem, showing up every single day with the same quiet consistency as the builders we feature. Building something worth the radar? Write to us at airadar(at)aiboomi.org. The radar stays on. #AIRadarDaily #Startups #AI #ProductNation | AIBoomi (formerly SaaSBoomi)

🚀 We're hiring our Founding AI-Native Tech Lead in Bangalore. At Spenza, we're building the "Stripe of Telecom." Our platform enables enterprises, resellers, and brands to launch and operate mobile connectivity businesses through simple APIs. We've built a strong foundation: Multi-million revenue pipeline, profitable, 10+ operator partnerships, repeatable growth through inbound and outbound marketing. Graduated from AIBoomi SGX 2025 (1 of 6, from 200+ applicants). Now we're building the next layer: AI agents that automate telecom operations, from planning and provisioning to support and billing. We're looking for someone who: ✔ Is a strong engineer from a Tier-1 institute ✔ Has 4–6+ years of startup engineering experience ✔ Has built production AI systems or agentic workflows ✔ Is comfortable across ML, backend, data, and product engineering ✔ Open to working closely with founder in Bangalore office This is a founding engineer role with significant ownership, competitive compensation, and equity. What's in it for you? Rare, compounding expertise in production agentic AI + deep telecom domain knowledge. A founding engineer-level seat in tech startup where you own the AI direction and build the human & agentic team under you. Market competitive comp + founding engineer equity. If you're excited about building production AI for one of the world's largest industries, email us at hr@spenza.com or DM me directly 📩  Please find the job description link in the comments. Know someone who'd be a great fit? I'd appreciate a share. #Hiring #FoundingEngineer #AI #AgenticAI #GenAI #LLM #StartupJobs #Bangalore #Telecom

#115: #AIRadarDaily — Circle Health We all want to care for our elders with deep compassion, but the reality of the modern healthcare system often reduces that care to an exhausting administrative math problem. To keep seniors healthy and out of the hospital, Medicare encourages continuous care coordination — checking in on chronic conditions, monitoring vitals remotely, and adjusting care plans. But the sheer volume of manual documentation required to execute this across thousands of patients turns clinical teams into data-entry clerks. We have inadvertently built a system that rewards billing minutes rather than actually improving patient outcomes, leaving our most vulnerable populations with fragmented care. It takes a rare blend of clinical empathy and relentless operational execution to look at this systemic friction and build a platform that completely rewires it. That is exactly what Chaitanya Shravanth, Prerna Raman, Harshvardhan Samvatsar, and Krishna Gurram are doing with Circle Health. Founded in 2022, the team is building a deeply intelligent, AI-native care coordination platform purpose-built from the ground up for the US senior care ecosystem. The engineering under the hood is beautiful in its pragmatism. Instead of simply generating notes, Circle Health deploys an AI stack built specifically for care execution. The platform autonomously assists with proactive care gap analysis, remote patient monitoring, and complex care summaries. But crucially, they don't just hand over the software and walk away — they pair this AI workflow automation with their own expert clinical workforce who review and validate the outputs. The true moat here is their unyielding focus on outcomes and execution muscle. Circle Health shifts the paradigm from tracking the number of minutes logged to measuring what actually happens to the patient. By abstracting away the soul-crushing busywork that drains nurses and doctors, they actively reduce avoidable hospitalizations and allow care facilities to deliver proactive. The market? Physician groups, skilled nursing facilities, and healthcare providers across the US who desperately need to manage complex senior care populations effectively without burning out their clinical staff. Harshvardhan and the Circle Health team were part of the inaugural AIBoomi (formerly SaaSBoomi) Vertical Velocity cohort. They know what it takes to escape the gravity of building from a distance — arriving in the US market not just with a theory, but with the operational data and execution muscle to cross $1M ARR in under a year. Every founder dreams of reaching orbit. Sometimes, all it takes is the right launch window. If you are building an AI-first healthcare startup and looking to experience the US market firsthand, applications for Vertical Velocity Cohort 2 are now live: https://lnkd.in/gnBbkA7g Let's celebrate the builders. w/ Jay Ingle #HealthTech #ProductNation

🚀 Weekend AI Sprint: Reimagining BidMyHobby for OpenAI Build Week This weekend (18–19 July), while keeping an eye on the World Cup finals after predicting Argentina would make it all the way 😄, I’m spending my time reimagining BidMyHobby with GPT-5.6, Codex, and the OpenAI API. What’s changing? ✨ Forms ➜ AI Conversation ✨ Email --> WhatsApp OTP ✨ Marketplace focused purely on Hobby Items ✨ AWS ➜ OCI AI isn't just helping me write code faster—it's helping me rethink how products are built. A special thank you to AIBoomi for the $100 OpenAI credits from an earlier hackathon. It's great to see those credits powering my next build. 🙏 If you've been waiting to experiment with Codex, there's still time to join OpenAI Build Week. 👉 https://openai.devpost.com 🌐 https://bidmyhobby.com #OpenAI #BuildWeek #Codex #AI #BuildingInPublic #AIBoomi #BidMyHobby

#114: #AIRadarDaily — Pype AI Every hospital is drowning in the exact same quiet crisis. Behind the life-saving procedures and cutting-edge medicine, the actual system of patient access is breaking under its own weight. Missed calls, endless hold times, and patients who simply fall through the cracks after discharge because clinical staff are too bogged down with administrative busywork to make follow-up calls. We have built incredible hospitals, but we are asking care teams to act as human switchboards instead of focusing on critical patients. It takes deep operational empathy and a structural understanding of how to build resilient systems at scale to solve this. That is exactly what Dhruv Mehra and Ashish Tripathy are doing with Pype AI. With Pype, Dhruv and Ashish are building deeply intelligent, omnichannel AI agents purpose-built for healthcare — effectively giving every hospital its own tireless AI care coordinator. The engineering under the hood is transformative. Pype deploys specialized voice and text agents that seamlessly integrate directly into major EMR systems like Epic and Cerner. These agents don't just route calls; they actively automate appointment scheduling, manage medication reminders, and conduct empathetic post-discharge check-ins in over 20 languages. The true moat here is clinical trust and context. Pype’s agents are trained on specific care pathways, meaning they know exactly how to handle routine interactions with warmth, and precisely when to instantly escalate an urgent, critical case to a human doctor or nurse. It replaces the anxiety of a ringing phone with a system that drops no-shows by 60% and ensures that when a patient actually needs a human being, the line is open. The market? Health systems, specialty hospitals, and clinics globally that desperately need to scale their patient access and chronic care monitoring without linearly scaling their administrative headcount. Pype gives care teams their momentum back, unlocking a model of proactive, continuous care that simply wasn't feasible before. Dhruv and the Pype team were part of the inaugural AIBoomi (formerly SaaSBoomi) Vertical Velocity cohort. They know what it takes to escape the gravity of building from a distance, and seeing them quietly rewrite the playbook for patient access is profoundly inspiring. Every founder dreams of reaching orbit. Sometimes, all it takes is the right launch window. If you are building an AI-first healthcare startup and looking to experience the US market firsthand, applications for Vertical Velocity Cohort 2 are now live: https://lnkd.in/gtQV6yKK Let's celebrate the builders. w/ Jay Ingle #HealthTech #VoiceAI #ProductNation

For the last many months, I have been building something quietly, on nights and weekends, in the gaps between running a company and addressing my family down-trends. Today I am ready to say it out loud. I have spent years watching small tech teams in India do incredible work while drowning in the boring parts: six different tools, six logins, six bills, and never a clear answer to a simple question, "where did our time and money actually go?" So we built the tool I always wished we had. It is called Kuvi. One workspace to run a whole tech company, with one feature no one else offers: it shows you exactly how much of your team went into client service versus building your own product. I am not sharing this as a pitch. I am sharing it because it is the most honest thing I have made, and because I genuinely believe a world-class product for tech teams can be built from India, not just used here. The full story is on the Kuvi page. I would be grateful if you gave it a read, followed the page, and told me honestly what you think. Your words will shape what we build next. Made in India, with everything I had. 🇮🇳 👉 https://lnkd.in/gm6NXZpT #SaaSBoomi #StartupIndia #StartupTN #MadeInIndia #BuildInPublic #IndianSaaS #TechStartup #FoundersJourney Udaya Sankar AIBoomi (formerly SaaSBoomi) YourStory Media

#112: #AIRadarDaily — Aarogram There is a quiet, exhausting reality behind every medical practice. After the diagnosis is made and the care is delivered, a completely different battle begins — the fight simply to get paid. We ask brilliant clinicians to heal people, but trap their practices in a labyrinth of fragmented insurance claims, cryptic denial codes, and massive administrative bloat. The financial lifeblood of a clinic often depends on small armies of billing staff wrestling with outdated portals. It is a system seemingly designed for friction. It takes a deep, structural understanding of this pain and a quiet, resilient courage to build an operating system that elegantly cuts through it. That is exactly what Kashyap Purani and his team are doing with Aarogram. With Aarogram, Kashyap is building a deeply intelligent, AI-native financial backbone for modern healthcare providers. The engineering under the hood is beautiful in its pragmatism. Instead of relying on manual data entry and reactive troubleshooting, Aarogram deploys intelligent workflows that ingest complex billing data, autonomously navigate intricate insurance rules, and predict claim denials before they happen. It doesn’t just report on the revenue cycle; it actively untangles it. The true moat here is proactive precision. Aarogram transforms medical billing from a defensive, error-prone chore into a highly intelligent, self-healing operation. It ensures that claims are clean the very first time, drastically shrinking the time it takes for a practice to realize its revenue. It completely abstracts away the soul-crushing busywork that drains billing teams, shifting the paradigm from chasing payments to predictable financial health. The market? Fast-growing clinics, medical practices, and billing organizations that desperately need to scale their care without their margins being eaten alive by administrative overhead. By giving healthcare operators their financial momentum back, Aarogram allows them to focus entirely on patient outcomes. Kashyap and his team were part of the inaugural AIBoomi (formerly SaaSBoomi) Vertical Velocity cohort. They know what it takes to escape the gravity of building from a distance, and seeing them quietly rewrite the playbook for healthcare revenue operations is profoundly inspiring. Every founder dreams of reaching orbit. Sometimes, all it takes is the right launch window. If you are building an AI-first healthcare startup and looking to experience the US market firsthand, applications for Vertical Velocity Cohort 2 are now live: https://lnkd.in/gtQV6yKK Let's celebrate the builders. w/ Jay Ingle #HealthTech #RCM #ProductNation

What is this “something new” called MeshDefend? We could have introduced it ourselves. But sometimes, it feels better when one of your design partner sees what you are building and tells the story in their own words. So, here we go... countdown to introducing MeshDefend begins. Thank you, saptatunasid for the early belief and for introducing MeshDefend to your community. #IntroducingMeshDefend MeshDefend Ravi Chitloor Sampath P Andrea Sureja Arianto F. Felix Kusuma Wijaya #Defenders AIBoomi (formerly SaaSBoomi) nasscom

A little late to share this… but some experiences need a little time before you can put them into words. Last week, I was at the AI Boomi Bootcamp in Hyderabad (AIBoomi (formerly SaaSBoomi), surrounded by 60–70 founders building in AI, each solving problems in their own way. Honestly, the best part? No one was performing. It wasn't a room of people trying to sound smart. Everyone was just focused on real problems and how to actually solve them. That shift, from looking impressive to being useful, is what got me. A few things I keep thinking about: -Sudheer Koneru from Zenoti talked about moving closer to the US market. Not to sell better. To understand the customers better.That wasn't really a story about expansion. It was about proximity. The closer you are to the problem, the more honestly you can build for it. -Listening to Vishal Virani from Rocket felt oddly familiar. The way he broke down decisions made me rethink how I approach my own. Two lines I came back with:  "Building is no longer the differentiator. What you choose to build is." AI made building fast. Choosing well is the hard part now. "Retention is the product. Everything else is marketing." Someone choosing you the second time means more than a hundred people choosing you the first. There was also a lot of talk about moats, GTM that actually works, and where AI agents fit into daily operations. What I appreciated most, though, was how openly people talked about the parts they were still getting wrong and still working to fix. What I'm leaving with: Don't build something people will use. Build something they actually need.

Recently AIBoomi (formerly SaaSBoomi) Bootcamp in Hyderabad. Sudheer Koneru founder of Zenoti had one slide that summarised everything happening today "AI won't replace your employees. But a founder who treats it as a supervised super-employee will replace the founder who treats it as magic." That framing hit hard. Because I see this pattern constantly in retail. Brands that are waiting for AI to "just work" are losing ground to brands that are actively directing it, giving it context, checking its outputs, and deploying it with intent. And the same principle applies brands that treat AI commerce as something to manage and optimize will win. Brands waiting for the magic will wonder where their traffic went. Thank you Sudheer for the clarity. The best frameworks are the ones that stay with you on the flight home.

#110: #AIRadarDaily — VoxyHealth There is a quiet crisis happening at the front desk of almost every clinic and hospital. We ask healthcare professionals to deliver deeply empathetic, life-saving care, yet we force them to spend hours acting as human switchboards — wrestling with ringing phones, checking eligibility, and rescheduling appointments. Meanwhile, patients who are often at their most vulnerable are left anxiously listening to hold music. We have built an incredible medical system, but the access layer is fundamentally broken, leaving staff burned out and patients frustrated. It takes founders with deep operational empathy and a mastery of true workflow automation to look at this overwhelming friction and build a system that actually absorbs it. That is exactly what Vengat Krishnaraj is doing with VoxyHealth. With VoxyHealth, the team isn't just launching another frustrating IVR menu or rigid chatbot. They are building a deeply intelligent, 24/7 AI voice platform designed specifically for the complex realities of healthcare. The architecture here is beautifully intentional. Voxy operates as a fleet of specialized conversational agents that sound remarkably human. When a patient calls, the system answers instantly — in over 20 languages. It doesn't just route the call; it autonomously handles the heavy lifting. It can book appointments directly into the EHR, process prescription refills, answer billing queries, and even run proactive outbound campaigns to close critical care gaps. The true moat is its ability to blend semantic intelligence with clinical safety. Voxy understands context, scores the urgency of the patient's request, and knows exactly when to seamlessly escalate a critical issue to a human nurse or administrator. It replaces the cold, robotic "press 1 for scheduling" experience with a warm, conversational interaction that makes patients feel instantly heard, completely eliminating wait times. The market? Fast-growing specialty clinics, health systems, and payer organizations that desperately need to scale their patient access without linearly scaling their administrative headcount. By answering every single call on the first ring, VoxyHealth gives healthcare workers their momentum back, allowing them to focus entirely on the human beings sitting right in front of them. Vengat and his team were part of the inaugural AIBoomi (formerly SaaSBoomi) Vertical Velocity cohort. They know what it takes to escape the gravity of building from a distance, and seeing them quietly rewrite the playbook for patient access is profoundly inspiring. Every founder dreams of reaching orbit. Sometimes, all it takes is the right launch window. If you are building an AI-first healthcare startup and looking to experience the US market firsthand, applications for Vertical Velocity Cohort 2 are now live: https://lnkd.in/gtQV6yKK Let's celebrate the builders. w/ Jay Ingle #HealthTech #VoiceAI #ProductNation

Something nobody talks about enough in engineering teams: Your developers are doing great work. Your client has absolutely no idea. Every Friday, someone, usually a project manager or a team lead, sits down and writes a status update email. They pull numbers from Jira. Cross-check with Slack. Ask two developers what they shipped this week. Piece it together. Format it. Send it. Two hours. Every week. For an email the client reads in 45 seconds. And even then, by the time it lands in the client's inbox, half of it is already outdated. I've sat in client calls where the first 15 minutes were just re-establishing what was done last week. Both sides going in blind. Both sides frustrated. Nobody's fault really, just a broken system nobody stopped to fix. The client doesn't need more emails. They need a window. A live view of what's in progress, what's done, what's stuck, without having to ask. Without your team having to stop and explain. That's one of the things we built into #QuikTrack from day one. Client viewer access. Real-time. No login friction. No information overload. Just the right visibility for the right person. Because your team's work deserves to be seen. If you're running a dev shop or an IT services team and this Friday ritual sounds familiar, drop a comment. Would love to know how you're handling client visibility right now. Check it out here: https://lnkd.in/d8t8ZTdT #EngineeringTeams #ClientManagement #ProjectManagement #QuikTrack #ITServices #DevShop #BuildingInPublic #IndianSaaS #SoftwareDevelopment Tarun Kanti Bhattacharjee Mehul Nahar AIBoomi (formerly SaaSBoomi)

Sorry for the late update 😄 Really happy to share that I finished as Runner-Up at the AIBoomi (formerly SaaSBoomi) Hackathon. A big thank you to Sehar Dabur and the entire organizing team for putting together such an amazing event. Everything, from the management to the experience, was genuinely well organized. This is also where Tejas was born. We built an AI-powered predictive intelligence platform for data centers, and I'll be sharing more about it very soon. Excited for what's next. #AIBoomi #Hackathon #RunnerUp #AI #DeepTech #Tejas

The Vertical Velocity program last year was a huge part of our startup journey at Needletail AI. AIBoomi (formerly SaaSBoomi) has announced the second edition of Vertical Velocity. If you are an Indian founder building for the US market, this would be a wonderful opportunity. Apply now! https://lnkd.in/g6HXyrgc Avinash Raghava Vivek Khandelwal Vengat Krishnaraj Dhruv Mehra

Sorry for the late update 😄 Happy to share that I finished as Runner-Up at the AIBoomi (formerly SaaSBoomi) Hackathon. A big thank you to Sehar Dabur and the entire organizing team for putting together such an amazing event. Everything, from the management to the experience, was genuinely well organized. This is also where Tejas was born. We built an AI-powered predictive intelligence platform for data centers, and I'll be sharing more about it very soon. #AIBoomi #Hackathon #RunnerUp #AI #DeepTech #Tejas

Reliance (the biggest company in India) is a SalesRobot customer. They didn't come from our website. They didn't come from LinkedIn. They didn't come from a referral. They came from a three-line email I sent after scraping an event's attendee list. SaaSBoomi is an annual conference in India for B2B SaaS founders (now called AIboomi tho) I didn't have a booth. I didn't give a talk. I just showed up, networked, and left. But before the event, I scraped the attendee list. And after the event, I sent every attendee a simple email: "Hey, I didn't get a chance to connect at the event. Would love to share what we do." Nothing fancy. No personalization beyond the event reference. No link. No CTA beyond "let me know." Reliance replied. We got on a call. They were looking for LinkedIn automation at scale for their SaaS sales team. We happened to be the right fit at the right time. Closed. The deal itself isn't the point. But you learn something from it. Every conference I attend, I do the same thing. Go to the event. Network genuinely. Scrape the list. Send the follow-up. SaaStr SF: $4K total for travel, stay, and tickets. SaaSOpen NYC: similar. SaaSBoomi India: minimal cost. Total annual spend on events: ~$4K. The ROI from Reliance alone justified years of event spend. Here’s the irony: I run a LinkedIn outreach tool. And my best enterprise deal came from an email. Use every channel. Never assume you know where the next deal comes from.

If you're building AI for US healthcare from India, this one's for you. Vertical Velocity is AIBoomi (formerly SaaSBoomi) program that puts Indian healthcare AI founders in the Bay Area for a week. Not for a conference. For actual sit-downs with the operators, investors, and buyers who run US healthcare, the kind of meetings that normally take months of cold emails to land. Pype AI was part of the cohort last year, and the results spoke for themselves. Some of our peer startups tripled their revenue since then. One startup crossed 7 million users. Another went from pre-revenue to raising $900K from US investors. Cohort 2 applications are open now. Apply here: https://lnkd.in/dTPZBkw2 Or DM Avinash for more details