Founder stories
Milestone achieved July 2025. Current revenue not tracked.
A macOS-native AI coding workflow tool for curating repository context, generating dense prompts, and applying AI-produced multi-file edits in a controlled way.
How Eric acquired customers
Tools used to build Repo Prompt
Eric Provencher built Repo Prompt as a free AI coding workflow tool, grew a power-user community, then monetized it into 5-figure MRR within a year of the first tester build.
Repo Prompt started with a very specific developer pain. Eric Provencher was building a hobby game for Apple Vision Pro and trying to use long-context AI models through web chat. The model could reason over large codebases, but the workflow around it was painful: collect the right files, paste them into the model, ask for changes, then manually apply edits back into the repo. When Claude Sonnet 3.5 made useful code generation more reliable, Eric prototyped a macOS Electron app over a weekend to make that loop less brittle.
The early product was not a generic AI code generator. Repo Prompt focused on context management: selecting the right files, building dense prompts, and letting professional developers review and apply model output through a structured edit format. Eric shipped the first TestFlight build to people who found him through a Reddit post about automating copy-pasting. That seed community became the product's real distribution engine. The Indie Hackers interview says thousands of passionate users shaped the product, and Eric's founder blog later described July 16, 2024 as the first build sent to testers.
For a while, Repo Prompt stayed free. Eric had made about $5,000 from donations, which proved people valued it but not enough to make the project sustainable. Around the paid launch, he wrestled with whether to raise money, sell lifetime licenses, or use monthly subscriptions. He eventually monetized while keeping a free tier, gave discounts to early testers and donors, and then doubled the free-tier limits after listening to user pushback. The community survived the transition because he treated the loudest users as signal, not enemies.
The result was a 5-figure MRR business within a year of the first tester build, strong enough that Eric left his full-time job to focus on it before later joining OpenAI's developer experience team. The durable lesson is that developer tools can charge after a free start when the free period creates deep workflow proof, a trusted community, and a clear boundary between useful access and power-user value.
A free developer tool can be a serious validation engine when it creates a passionate community around a repeated workflow.
Repo Prompt won by helping users control context and review edits, not by hiding everything behind a black-box code generator.
Donation revenue is useful signal, but sustainable pricing still needs a clear paid boundary and willingness to absorb user pushback.
Early users are more likely to accept monetization when the founder listens, preserves a free tier, and rewards the people who helped shape the product.
You have the story. Make it actionable: what worked, what to copy, what to avoid, and which channel to test first.
$10K MRR
Communities
Action checklist
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