A one-time-purchase Mac tool that helps app developers research and localize App Store keywords with their own AI agents.
100+ licenses sold · $99 per license
“Followers mean almost nothing on X”; the launch worked when the offer, timing, and demonstration lined up.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Dan Kulkov launched Wow Keywords, a Mac app for app-store keyword research and optimization, and said it passed $9,000 in revenue after three days. The product helps developers find and evaluate keywords, then use AI coding agents through an MCP server to localize app names, subtitles and keyword sets. Customers can use their own AI subscriptions, so the product avoids bundling ongoing model usage costs. Kulkov says the launch sold more than 100 licenses, had one refund caused by onboarding, and priced licenses at $99 with the price rising by $10 after each block of 30 licenses. He attributed the launch to a timely one-time-purchase offer, a strong video, and cross-posting on X; he reported 100,000 views for the X video. The first days were spent fixing bugs and responding to customers. Planned additions include full listing and screenshot localization, Android and macOS store support, and Apple Search Ads optimization.
For a developer tool priced at $99 once, reach people at the exact moment they are already trying to improve store rankings. Make a short demonstration around one concrete job, such as localizing a keyword set across markets, and show the workflow from research to a changed listing.
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Data credibility: Dan Kulkov reports more than $9,000 revenue and over 100 licenses sold during the first three days, with one refund. The transcript includes no audited payment dashboard or third-party verification; figures are founder-reported launch results.
The first dollars arrived as license purchases, not monthly subscriptions: Kulkov says Wow Keywords passed $9,000 in revenue within three days and sold more than 100 licenses at a $99 price point. Treat that total as one-time launch cash, not a run rate: none of it repeats next month unless new buyers keep arriving.
The early loop is simple: a developer discovers the tool through a video or post, buys a license, tries keyword research on a real app, and reports friction or missing features.
A new paid utility can feel broken before it has enough users to reveal its real problems. Kulkov describes shipping with bugs and then spending the first days fixing edge cases reported by buyers.
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