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Jason Kelley shared thisWon an AI competition at MongoDB a few weeks ago in Austin. The prize was bragging rights. The real win is that I actually use what I built every single day. MableGTM started as a competition project. Paste a CSV of your target accounts and it generates point of views for selling into each one. Custom messaging for every account. An agent coach that walks you through next steps on every deal in your pipeline. Built it for myself first. Now any seller at MongoDB can use it. Then I forked the instance. One fork for our marketing team to run demand gen workflows. Another fork for corporate development to score talent density across teams. Three separate use cases from one codebase. 25 hours total to build and refine. A year ago, none of this was possible for someone like me. Now I'm shipping internal tools that my colleagues actually depend on. What's the last tool you built that surprised you with how useful it became?
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Jason Kelley shared thisSomewhere around the 5th hole at Golden Gate Park, Sky Yang stopped mid-swing and asked me something no founder brings up in a pitch meeting. "How do we actually execute a weekly forecast call?" Not ARR projections. Not TAM slides. The real question underneath was bigger: how do we add repeatability to our sales cycle? My answer was boring but honest. Start by defining your sales stages. Map the entry and exit criteria for each one. Do it with diligence. Do it with rigor. Every single week. It sounds simple but here's what happens when you do it consistently: you and your team start to actually understand your business. You see where deals stall. You learn why they close. You build the muscle memory of a real sales motion before you ever hire your first salesperson. That conversation would never happen in a boardroom. It happened because we were walking a fairway with zero agenda. ⛳️ We're building something fun out here. Founders, fairways, and zero agendas. DM me if you want in.
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Jason Kelley shared thisAbout a year ago I sat down to build something for a job interview. The ask was simple: sort 15 companies by their likelihood to be good MongoDB customers. Instead, I spent 20 hours building ScoreVC, a full Crunchbase Pro twin that scrapes Reddit, GitHub, and live internet through Perplexity to score any private company in the world. Live rankings. Daily updates. Relevant analysis for any company you search. I was supposed to make a spreadsheet. I built a platform. That was my first project on Lovable. And that feeling of looking up after 20 hours, realizing I'd built something real, something I couldn't have imagined building before? I hadn't felt energy like that in years. ScoreVC was project number one. 40 projects and over a million lines of code later, I still chase that feeling every time I sit down to build. When's the last time you completely lost track of time building something?
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Jason Kelley shared thisFounders Run Club with the best crew in town. Can't wait to see this kick off!Jason Kelley shared this8 months ago I hung up my Swoosh. At Nike, I lived and breathed running. I helped connect people to community and supported them as they chased big goals. And the science, gear, and feelings behind it were all tools in service of something bigger: helping people push past limits and unlock what they’re capable of. Then I jumped into tech venture. And despite the vast differences between the industries, the patterns felt familiar. Founders and runners share the same mindset: Keep moving. Trust the process. Show up on the hard days. That’s why I’m so pumped to share: Founders Running Club is happening and it's going to be a good one. MongoDB Ventures is sponsoring, alongside the incredible teams at HYBRD and Porter. This is community, movement, and momentum all in one. Whether you're a founder, investor, operator, or just someone who wants to run and connect with people building the future, come out. 📍March 7th, 9:30am - Details + RSVP: https://lnkd.in/g6bRciRB
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Jason Kelley shared thisJason Kelley shared thisWe are launching our product: the multi-member team content for B2B companies! Most companies try LinkedIn GTM with one founder posting alone. It works, but it's slow. One voice. One network. Limited reach. What actually moves the needle is coordinated team effort. Multiple executives posting aligned content, amplifying each other, creating a ripple effect across the org. That's what we built at Imagine AI (YC F25). How it works: We go through your transcripts, interviews, posts, and conversations. From that, we build a 100+ page Persona Report for each person on your team. It captures how you actually think and talk. That's why the content sounds like you wrote it. Not a polished version of you. You. One calendar for your whole team. Your CEO posts the vision, your VP of Sales posts the proof, your Head of Marketing posts the framework. Same theme, different angles, coordinated cadence. Every client gets a dedicated Content Engineer who owns your strategy and has an AI platform behind them. Results across 40+ B2B companies: -> $31M in revenue generated -> 431 qualified inbounds in 1 month for one client -> $53K inbound revenue in 1.5 weeks for another -> 12M total impressions -> 10,400 hours saved We built this because our customers kept asking for it. They wanted their whole team posting, but couldn't justify the time investment for each person. Now they can. We put together a breakdown of the exact content framework we use with our clients to hit Content Market Fit. Comment "CMF" and I'll send it to you. imagineai.me
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Jason Kelley shared thisHardened stack from day 0. This is the future of vibe coding.Jason Kelley shared thisAs promised, we're live on Hackernews (https://lnkd.in/gGsXHYH6) with the launch of the Modelence App Builder - the AI agent that creates full-stack applications with built-in authentication, database and monitoring, and runs them for you on Modelence Cloud. It's powered by TypeScript / Node.js, MongoDB, Anthropic and Amazon Web Services (AWS). Many app builders start with the tool itself, and then add frameworks & cloud behind it. We started from the platform itself - framework and a cloud, designed for production applications, now adding the app builder as one facade for it, while the platform is the core. For more details, check out the demo video in the original post from the link above.
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Jason Kelley shared thisDim sum diplomacy: A guide to the real SF Chinatown breakfast spots I was standing in Pagoda Place, a narrow slice of an alleyway that smells faintly of damp concrete and toasted sesame, when I realized that most people visit Chinatown the wrong way… https://lnkd.in/geb2hwvK
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Jason Kelley shared thisWhile watching a bugs life 🐛 with my daughter this morning, shipped a new personal site using Lovable x Resend x Perplexity. 👍👎? jsnklly.comJason Kelley — Full-Stack Builder | MongoDB VenturesJason Kelley — Full-Stack Builder | MongoDB Ventures
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Jason Kelley reposted thisJason Kelley reposted thisI won a robot fight at the biggest AGI party hosted by MongoDB. Here's how we got there. A few months ago, MongoDB sponsored our Y Combinator yacht party. We helped promote their .local conference and 403 party. Relationships are two-way. 2 weeks ago, they invited us to present at MongoDB.local. We had a booth in the startup section. Got to meet Chirantan "CJ" Desai, their CEO. Then came the 403 party. They asked if I wanted to pilot one of the fighting robots. I said yes. Then I destroyed the competition. Here's what I've noticed about momentum: it shows up everywhere. The same intensity we bring to customer calls, we bring to robot fights. The same energy that closes deals is the same energy that wins in the arena. When you're building something real, you don't turn it off. You compete at everything. Even when it's "just for fun." Shoutout to MongoDB for the partnership. From yacht sponsor to robot arena. This is how you build in SF. Real shoutout to Patrick Steyn, Jason Kelley, Jade Furubayashi , Anaiya R., Toni Bird for being the GOAT on making this happen.
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Jason Kelley reacted on thisJason Kelley reacted on thisIf you're a startup founder right now and competitors are raising more money, getting more headlines, and investors are questioning your strategy... Good. That means you're doing the job right. Bill Walsh has this quote. "How do you know if you're doing the job? If you're up at 3 am talking into a tape recorder and writing notes on paper, have a knot in your stomach, rash on your skin, losing sleep and losing touch with wife and kids, have no appetite or sense of humor and feel everything might turn out wrong, you're probably doing the job". The nature of building companies is that non-consensus views are the only things that lead to real outcomes. If everyone already agrees with you, the opportunity is already priced in. Your job is to come to your own independent assessment of the path to success. Not what the headlines say. Not what VCs think. Your own first-principles view. And if you do that correctly, no one is going to agree with you. By definition. You're going to face pushback. You're going to have knots in your stomach at 3am wondering if you got it wrong. That's not a bug. That's the job. Albert and I have been here before. We didn't go to college in 2010 when that was not a popular decision with our parents. We went remote in 2017-2018, not consensus. We chose usage-based pricing when we launched Bolt. The worst thing you can do when you believe the market is wrong is succumb to pressure and run a strategy you don't actually believe in. That's not going to lead anywhere good. If you're right, reality catches up. Your competitors taking on capital to be wrong means they're digging a hole. Your job as a founder is to be right.
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Jason Kelley liked thisJason Kelley liked thisWe just raised $12M. We have 50+ customers. And we're still under 10 people. Now we're hiring for two roles: Applied AI and Growth. Applied AI: You'll work directly on the intelligence layer that powers Eragon. Custom models trained on customer data. Agents that reason across entire tech stacks. Production systems that handle thousands of requests in seconds. If you want to build AI that actually runs businesses, not demos, this is the role. Growth: We went from 0 to 50+ customers in under 6 months. A huge chunk of that came from showing up, going office to office across SF, sitting with founders, and onboarding teams in person. We need someone who can take that motion and scale it. Events, community, partnerships, content, distribution. All of it. Small team. Massive leverage. No layers. If you want to build at the speed this moment demands, reach out. josh@eragon.ai
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Jason Kelley liked thisExcited to be joining the Resend team! Resend delivers one of the best developer experiences in all of devtools right now and so naturally I was curious about the opportunity to join on the GTM side. But once I met the team, I was convinced. Zeno Rocha and Jonni Lundy have hired a collection of some of the most talented and wonderful human beings. The email world is also near and dear to my RevOps heart (but email has also kept me up at night several times in my RevOps past 😂😭) so I’m grateful to be able to be a part of building a better experience in this space.Jason Kelley liked thisToday, we're excited to share that Trey Knowles is joining the team as a Founding Account Executive. He has a decade of experience in GTM roles at devtools companies like Vercel, Auth0, Neo4j, and Laravel. Fun fact: Trey is a lifelong Utah Jazz fan, faithfully cheering for them since he was 4 years old! Read more about Trey 👇 https://lnkd.in/dA6YWqcB
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Jason Kelley liked thisJason Kelley liked thisSF rent is insane. Good listings disappear within hours. Kenzie, my friend, built something that wakes up before her and does the hunting on Craigslist. It took her just one command. Here's how. → [ npx @browserbasehq/sdk-functions init ] sets up the project, drop in your API keys and specify your housing requirements. → Schedule with a GitHub Actions cron. That's the entire infrastructure. Most of the internet will never have an API. Craigslist. Government portals. Legacy forms. That's where most of the valuable information lives. Give your agent the same tool you use to navigate the web, a browser. AI has gotten to a point where one person can ship something like this in an afternoon. That's what Kenzie built with Browserbase Functions. Github repo is in the comments.
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Jason Kelley liked thisBacked Starcloud early because it forced a different perspective. Everyone’s fighting over power, cooling, and infrastructure on Earth… Meanwhile the long-term answer might be off-planet. Unlimited solar. Natural cooling. No constraints. Feels crazy — until it doesn’t. Huge moment for the team. Proud to be on the journey. 🚀Jason Kelley liked thisHuge milestone for the Plug and Play Tech Center and Play ecosystem. Starcloud just became our newest unicorn. 🚀 Congratulations to Philip Johnston and the team for raising $170M and crossing a $1B+ valuation by building data centres… in space. At first glance, it feels like science fiction. But when you zoom out, it's the logical answer to a very real problem: AI compute demand is exploding exponentially, energy grids are hitting physical constraints, and cooling costs are skyrocketing. Space offers something Earth can't: virtually unlimited solar power, natural cooling, and scale without the infrastructure battles. The technology is extraordinary, and the opportunity in space infrastructure, AI, and exploration is massive. But what excites me most is the perspective it forces. 𝐅𝐫𝐨𝐦 𝐬𝐩𝐚𝐜𝐞, 𝐭𝐡𝐞𝐫𝐞 𝐚𝐫𝐞 𝐧𝐨 𝐛𝐨𝐫𝐝𝐞𝐫𝐬. 𝐍𝐨 𝐜𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬. 𝐍𝐨 𝐩𝐨𝐥𝐢𝐭𝐢𝐜𝐬. 𝐍𝐨 𝐫𝐞𝐥𝐢𝐠𝐢𝐨𝐧𝐬. 𝐉𝐮𝐬𝐭 𝐨𝐧𝐞 𝐩𝐥𝐚𝐧𝐞𝐭. As humanity pushes further into space, it forces us all to zoom out and see that we have much more in common than what divides us. It’s still early. And we all have a lot of growing up to do. As an industry and as a species. Proud to be part of a platform that supports founders building what once felt impossible. Congratulations to Janis Skriveris, Stefan Faistenauer, Kishor Veerashekar, and the entire Plug and Play team that backed this vision.
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Jason Kelley liked thisJason Kelley liked thisA 20-year-old went to law school for one day… then dropped out to sell cake. Five months later, he's at $120K per month. Meet William Lindholm from Norway. He first thought of the idea at a conference. There was a contest to see who could book the most meetings. He tried sending cakes instead of cold outreach. He booked 17 meetings that day. Including KPMG. "Holy shit, people really want cake." So he opened up Lovable and built Daymaker. Two use cases: - HR teams use it to automate employee birthday cakes - Sales teams use it to book meetings (cake converts at 40%) He built the entire backend on Lovable. Tables. HR integrations. Accounting systems. Everything that made the cakes flow. They've sold 200+ cakes on the platform. The numbers since: - Hit $120K/month in 5 months - $100K raised at a $3M valuation - Bakery partnerships live in SF, Florida, and Vegas "The funny thing is that something we just made in Lovable has become VC-backable." His mentor, a deep tech founder, saw the platform one month in. He was shocked it was even possible to build. The cake is the Trojan horse. Once a company trusts you to deliver something small and consistent, you expand. Gifts. Events. Employee perks. Eventually, a full HR layer. Most founders wait for a technical co-founder. Or funding. Or the perfect moment. William just opened Lovable and started sending. He's 20. He wants to be the biggest cake provider in the US. And he's building it one cake at a time. Comment LOVABLE and I'll send you 20% off your first month of their Pro 1 plan. #LovablePartner
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Jason Kelley reacted on thisJason Kelley reacted on this"When did you know it was time to migrate?" I've been asking founders this a lot lately...and the answers? Surprisingly predictable. They started on a relational database, it worked great at first, and then AI workloads kicked in and everything got painful. The breaking points? 🌟 Real-time, nested, unstructured data constantly fighting rigid schemas. 💫 Scaling bottlenecks that genuinely did not exist at prototype stage. ✨ Gluing together separate tools for vectors, embeddings, metadata, and search. The integration overhead alone is eating engineering time. That last one is the one I hear the most. When your vector store, embedding pipeline, and search layer are all different products from different vendors, you're not building your product. You're building infrastructure to hold your infrastructure together. Why are we spending time on that? The right database for AI workloads handles this natively. Your data lives the way your app actually uses it, and when your AI tooling and embeddings live in the same place, the glue code just disappears. ✨ What's the biggest infrastructure headache in your AI stack right now? [Photo sneak peek from Sana Peswani's latest interview...you saw it here first!]
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Jason Kelley reacted on thisJason Kelley reacted on thisMet Andrew Yang at an event this week. Former presidential candidate. Still trying to give every American $1,000 a month. I couldn't stop doing napkin math while he was talking. $1,000 x 330M people x 12 months = ~$3.96T per year. US federal budget is ~$6.7T. That's a 59% increase in government spending. On paper, the numbers don't work. But the problem he's describing is real if you model it. AI adoption is an exponential curve. Human retraining is a linear curve. The integral of the gap between those two curves is total economic damage. Whether UBI is the answer, I have no idea. But the gap is real. Working in AI, you see the exponential side up close. Models going from barely functional to replacing entire workflows in months. Nobody's accelerating the linear side. Retraining humans doesn't scale the way retraining models does. I'm on the exponential side of this equation. That part I think about a lot.
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Jason Kelley reacted on thisJason Kelley reacted on thisThe best investors don't write founders off after one bad idea. I know someone who pitched a terrible idea in 2011. Truly awful. The kind of pitch that makes you wonder if they understand their own market. But here's what separated the great investors from the rest: instead of writing this founder off completely, they stayed connected. They watched. They waited. That founder went on to pivot, iterate, and eventually build a unicorn company. The investors who maintained the relationship? They got access to the next round. The ones who dismissed them entirely? They missed out on one of the biggest returns of the decade. Building great companies takes time. The best founders aren't always the ones who get it right immediately - they're the ones who keep going when everyone else would quit. As an investor, your job isn't just to spot the perfect pitch. It's to spot the founders who will figure it out, even when their current idea isn't quite there yet. The founder who pitched that terrible idea in 2011? They're now running a billion-dollar company. Sometimes the worst pitches come from the best founders. They just haven't found their moment yet.
Experience & Education
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MongoDB
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Volunteer Experience
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Fundraiser
Best Buddies International
- Present 11 years 9 months
Education
Annual contributor, fundraiser, and participant in the Best Buddies Challenge, a 100 mile bicycle ride from Carmel to Hearst Castle
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Volunteer
Glide Memorial Church
- Present 11 years 5 months
Poverty Alleviation
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Projects
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Womp
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Honors & Awards
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#1 CSM 2016
David Satterwhite
Added more monthly logos than others.
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Passion for Innovation Q1 2015
PubNub
Languages
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English
Native or bilingual proficiency
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French
Elementary proficiency
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