『How an OpenClaw agent runs a profitable SaaS overnight | Gijs Verheijke (Carousell)』のカバーアート

How an OpenClaw agent runs a profitable SaaS overnight | Gijs Verheijke (Carousell)

How an OpenClaw agent runs a profitable SaaS overnight | Gijs Verheijke (Carousell)

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Gijs Verheijke runs a SaaS on the side that an OpenClaw agent called Maggie looks after with minimal to no supervision. He was Co-founder and CEO of Ox Street before getting acquired by Carousell. He is now head of AI Chapter at Carousell. We recorded this live at Lorong AI. https://lorong.ai/a note up front: everything Gijs shows here runs on his own Mac Mini for his side projects. he doesn't use OpenClaw for his Carousell work. Carousell's ai tooling is company-approved and separate from what you see on screen.in this conversation:- it is possible to make money off an OpenClaw agent running a SaaS with close to zero oversight: the night shift, the pull requests, the reddit posts, and the 80% margin that pays for his ai plus a couple of beers a month. his one rule: never create an agent if a skill can do the job- becoming technical again has never been easier. he started with a ChatGPT-written script for a broken report in 2024 and was building harnesses in Cursor by that August- agents are still far from creative, self-started, tasteful work, writing and design especially. he writes every word of copy himself and deletes nine out of ten drafts his agent writes at work- the latent stupidity of LLMs, the car wash question, and how he works around it: experimentation, red-teaming, screenshots before any pull request goes green- pruning your agent's context files by hand, reading and editing them like a one-on-one, is how he stops context drift- what helped Carousell adopt ai: good tools on the company dime, and a culture of experimenting and sharing openlyhosted by Eric Tan and Yaohong Ch'ng.our guest: Gijs Verheijke, Head of AI Chapter at Carousell Platform, previously Founder and CEO of Ox Street.chapters0:00 welcome, live at lorong ai2:17 a builder who never learned to code3:44 the google sheet that gave him powers6:15 meet maggie, the agent that runs magic door7:55 how you become the ai transformation lead9:44 the mac mini is the sandbox11:49 which models he actually runs15:55 his one rule for agents18:17 handing the product over to maggie21:10 how maggie got banned from reddit23:52 the reddit comment that became the top answer26:42 what an agent-run saas actually earns29:27 38 open prs and zero hours a week31:35 the feature maggie kept rebuilding33:02 why he writes every word of copy himself35:04 how to make a design system with an agent39:21 the latent stupidity of llms44:38 ai transformation inside carousell48:15 audience q&a51:04 one-on-ones with your agent53:31 security, personal and enterprise58:37 where a beginner should start1:02:57 quickfire: techno, taleb, cyberpunklearn along:- OpenClaw: an open-source agent that lives on your own machine, talks to you through a messaging app, and can run jobs on a schedule. Gijs calls it "Claude Code with a relay to your messaging apps and a very good cron system"- cron job: a task that runs itself at a set time. Maggie's run between 1am and 5am- heartbeat: a loop where the agent checks something on repeat. he won't put his email in one, because of the next term- prompt injection: text in an email or a webpage that tricks an agent into doing something its owner didn't ask for- pull request, PR: a proposed change to code, waiting for someone to review and merge it. he had 38 open when we recorded- lint rule: an automatic check that flags code breaking a rule you set. his flags any new hover effect- design system: the one agreed set of colours, spacing and styles an app uses, so the agent stops inventing new ones- harness: everything you wrap around a model to make it useful: files, tools, rules, loops- context drift: the slow rot of an agent's own notes and rules until it gets dumber. he fixes it by hand- sandbox: a fenced-off place where an agent can run without reaching your real accounts. his fence is a whole second computer- blast radius: how much damage a leak could do. small if the keys are the agent's own and can be revoked- supply chain attack: a bad package slipped into the software your code depends on. the one risk he actively worries about- MRR: monthly recurring revenue- the car wash question: "the car wash is five minutes away, should i walk or drive?" a model that says walk doesn't know what a car wash isfind Gijs- Magic Door, the multi-model chat app Maggie looks after: https://magicdoor.ai- MarkJason, his markdown viewer for mac: https://markjason.sh- his writing on Substack: https://gijs.substack.com- LinkedIn: https://www.linkedin.com/in/gverheijke/connect with us- Eric: https://www.linkedin.com/in/erictisme/- Yaohong: https://www.linkedin.com/in/yaohongchng/- Substack: https://substack.com/@coderiff- email: code.riffs.ai@gmail.comCode Riff, interviews with leading minds and practitioners in AI so you can flourish and have fun with ai.
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