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How A Prototype Built During A Missed Flight Became A New Gusto Product

Y CombinatorJuly 8, 202632m
In a Nutshell

Eddie Kim built a prototype of Gusto Co-founder during a five-hour airport layover using Claude Code, turning the experience of running a personal AI agent via Telegram into a product that automates small business workflows. The system uses a heartbeat cron model with LLM prompts to handle recurring tasks like payroll and time-off approvals, plus external automations such as weather-triggered customer emails, all accessible via SMS without logging into Gusto. A five-person team of AI builders shipped the product in ten weeks by eliminating traditional processes like specs, Figma, and meetings, relying instead on continuous Zoom collaboration and rapid code iteration.

AI-Generated Notes

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Eddie Kim is Gusto's co-founder and head of technology. Gusto participated in YC's winter 2012 batch, recently crossed a billion dollars in annual revenue, and serves over 500,000 small businesses in the US. One in five new businesses started today are Gusto customers.

Gusto Co-founder is a new product that uses AI to automate running a small business. It is designed for small businesses and automates most of the business processes that a small business has. Many of the processes are already handled on Gusto, but Gusto Co-founder can take those things and automate them fully. Examples include running payroll from start to finish, approving time off, reminding employees to submit time sheets, and handling tasks outside of Gusto such as texting a business owner if it is going to rain and then emailing customers to bring umbrellas for a tour guide business.

Small businesses are generally less technically sophisticated than typical YC or technology company customers. Most small businesses still use AI as a glorified search engine: they ask a question and receive a reply. More advanced users may have AI perform research, generate reports, summarize writing, or author content, but the interaction remains largely prompt-and-response. The promised agentic capabilities have not materialized for the vast majority of users. Only a small percentage of technically sophisticated people are creatively building automations across their lives, while 99.9% continue using AI as a search tool.

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