Turns plain language into managed business automations, with high-ticket implementation work funding the product.
contractor automation quoted at $5K–$8K · BYU projects in the $5K range · nonprofit builds around $1K–$2K
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Jacob Zandell and Grant Hill started Instance AI after seeing nontechnical operators struggle with the complexity of n8n. Their product turns a plain language description into an automation workflow, shows which integrations need setup, and lets the user publish triggers from a visual editor. The founders built the product with Lovable, including its frontend, backend, and connectivity, and said they had begun the work only a couple of weeks before the interview. Their first customers came through relationships already in their networks: Grant contacted a university team he knew, and Jacob messaged an electrical contractor owner he had met through networking. Those engagements included HR automations for the contractor and licensing department workflows for Brigham Young University. They also had presales with nonprofits. The founders said they were on track to generate $10,000 that month, but described a mix of signed projects, ongoing management, and presales rather than a mature subscription base. Their sharper opportunity is using a reusable automation product to make high-value implementation work faster and easier to maintain.
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Join the Unicorn Club — $5/moCancel anytime, in one clickData credibility: Jacob Zandell and Grant Hill report that Instance AI was on track to generate $10,000 in revenue during the interview month. They describe signed contractor work, several university projects in the $5,000 range, and nonprofit presales. These are founder statements in a YouTube interview; the transcript provides no invoices, financial dashboard, or third-party verification, and the $10,000 is a target rather than confirmed month-end revenue.