From a $6.90 newsletter to $3M API: How a non-coder built Memelord | Jason Levin
Episode
51 min
Read time
2 min
Topics
Career Growth, Investing, Startups
AI-Generated Summary
Key Takeaways
- ✓No-code to API scaling: Memelord reached $100K ARR entirely on Bubble before hiring a single engineer, using 395 no-code workflows. Non-technical founders should validate and scale on no-code platforms first, then hire engineers only after product-market fit is confirmed — avoiding premature technical debt and expensive hires.
- ✓Agentic users as a product strategy: Design APIs with agents as the primary user, not humans. Agents eliminate UX friction entirely — they skip onboarding, go straight to tokens, and don't hesitate. Memelord's lead investor explicitly said he no longer wants to use software UI, signaling that "no UX is the best UX" is the near-term default.
- ✓Marketers must ship code directly: Requiring every marketer to vibe code in Cursor removes the lossy handoff chain from idea to engineer to product. Memelord's free tools page — built entirely by marketers — generated hundreds of thousands of email leads globally, including a viral moment in Turkey, with zero engineering team involvement.
- ✓Free tools outperform PDF lead magnets: Build micro-tools instead of downloadable content for lead generation. Memelord's free meme generators, filters, and portrait tools at memelord.com/tools collected hundreds of thousands of emails at near-zero marginal cost. Building a tool now takes less time than writing an ebook and converts at a higher rate.
- ✓Calendar-as-content pipeline via OpenClaude: Connect an LLM to Google Calendar to auto-generate a weekly review every Friday and a forward-looking brief every Sunday. The model identifies time allocation problems — like attending unnecessary engineering standups — and can flag meetings that could be emails, then suggest cancellations proactively.
What It Covers
Jason Levin, founder of Memelord, details how he scaled a $6.90/month meme newsletter into a $3M ARR API business without writing code — building first on Bubble with 395 workflows, then transitioning to Cursor, while mandating that every marketer on his team ships code via vibe coding.
Key Questions Answered
- •No-code to API scaling: Memelord reached $100K ARR entirely on Bubble before hiring a single engineer, using 395 no-code workflows. Non-technical founders should validate and scale on no-code platforms first, then hire engineers only after product-market fit is confirmed — avoiding premature technical debt and expensive hires.
- •Agentic users as a product strategy: Design APIs with agents as the primary user, not humans. Agents eliminate UX friction entirely — they skip onboarding, go straight to tokens, and don't hesitate. Memelord's lead investor explicitly said he no longer wants to use software UI, signaling that "no UX is the best UX" is the near-term default.
- •Marketers must ship code directly: Requiring every marketer to vibe code in Cursor removes the lossy handoff chain from idea to engineer to product. Memelord's free tools page — built entirely by marketers — generated hundreds of thousands of email leads globally, including a viral moment in Turkey, with zero engineering team involvement.
- •Free tools outperform PDF lead magnets: Build micro-tools instead of downloadable content for lead generation. Memelord's free meme generators, filters, and portrait tools at memelord.com/tools collected hundreds of thousands of emails at near-zero marginal cost. Building a tool now takes less time than writing an ebook and converts at a higher rate.
- •Calendar-as-content pipeline via OpenClaude: Connect an LLM to Google Calendar to auto-generate a weekly review every Friday and a forward-looking brief every Sunday. The model identifies time allocation problems — like attending unnecessary engineering standups — and can flag meetings that could be emails, then suggest cancellations proactively.
Notable Moment
Levin built a screenless Raspberry Pi keyboard for $10 that sits beside his bed, letting him type ideas in the dark without waking his wife. Pressing enter fires an API call to Zapier, which routes the note to Linear or email based on a keyword prefix he types.
Episode Transcript
Confession. I'm not a vibe coder. I'm way worse. So I started Memelord about four months before vibe coding started hitting. You are an example of a company and a product that's gonna get an inflection point because agents are gonna become your users. Because agents don't get in their mind about being funny or not funny. They don't overthink. They just go straight to the tokens and YOLO something out. I just built it on Bubble, and I grew it to a 100 k ARR on Bubble without hiring engineers, 395 workflows just on the editor. And I was able to grow this just out of pure obsession and the love of it. I can't code and never have and can publish a skill that other people can download and just plug into their sentient lobster that makes weird memes. What it unlocks, which you've shown us, give your marketers free reign on your marketing site to build the things that will drive demand. It's so lossy to take an idea and hand it off and hand it off and hand it off. And when you can just go straight to the code, you get better products. Let your marketers cook. You have no idea what they're capable of. AI. I'm Clervoe, product leader and AI obsessive here on a mission to help you build better with these new tools. Today's episode is probably the most unhinged episode of how AI we've done yet with Jason Levin, CEO and founder of Meme Lord, who's asking us all to take being funny a little bit more seriously. We don't cover three workflows. I think we cover 10, and there are ideas all over this episode about how you can use AI to market, how you can use AI to build, and how you can use AI to capture your good ideas without waking up your wife at night. Let's get to it. This episode is brought to you by WorkOS. AI has already changed how we work. Tools are helping teams write better code, analyze customer data, and even handle support tickets automatically. But there's a catch. These tools only work well when they have deep access to company systems. Your Copilot needs to see your entire code base. Your chatbot needs to search across internal docs. And for enterprise buyers, that raises serious security concerns. That's why these apps face intense IT scrutiny from day one. To pass, they need secure authentication, access controls, audit logs, the whole suite of enterprise features. Building all that from scratch, it's a massive lift. That's where WorkOS comes in. WorkOS gives you drop in APIs for enterprise features so your app can become enterprise ready and scale up market faster. Think of it like Stripe for enterprise features. OpenAI, Perplexity, and Cursor are already using Work OS to move faster and meet enterprise demands. Join them and hundreds of other industry leaders at workos.com. Start building today. Jason, welcome to How I …
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Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links. As an Amazon Associate, SignalCast earns from qualifying purchases.
Tools
“Memelord reached $100K ARR entirely on Bubble before hiring a single engineer, using 395 no-code workflows.”
“Pressing enter fires an API call to Zapier, which routes the note to Linear or email based on a keyword prefix he types.”
by Google
“Connect an LLM to Google Calendar to auto-generate a weekly review every Friday and a forward-looking brief every Sunday.”
“Pressing enter fires an API call to Zapier, which routes the note to Linear or email based on a keyword prefix he types.”
“Requiring every marketer to vibe code in Cursor removes the lossy handoff chain from idea to engineer to product.”
Gear
“Levin built a screenless Raspberry Pi keyboard for $10 that sits beside his bed, letting him type ideas in the dark without waking his wife.”
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