The fastest way to research keywords, draft localized App Store metadata, build marketing sites, and ship every asset — without leaving your Mac. Keyword research, App Store metadata localization, screenshot design, marketing site generation, and App Store Connect operations — all in one native app with on-device AI and no cloud dependency.
Hey Product Hunt! 👋 I'm Michael, the maker behind Dispatch.
I built this because I was tired of juggling a dozen different SaaS tools just to ship an app - one for ASO research, another for screenshots, manually copying competitor keywords, waiting on cloud translation APIs. After years of launching apps, I wanted everything in one place, fast, private, and actually affordable.
Dispatch is $19.99 one-time (not $79/month forever) and handles the entire loop: keyword research with on-device AI, localized App Store metadata across 30+ languages, screenshot studio with device frames, marketing site generator, Apple Search Ads planner, subscription MRR tracking, and direct App Store Connect operations - all native on macOS with zero servers involved.
The v1.2 release just shipped with subscriptions tracking, an ASO audit tool that grades your listing 0–100, in-app events end-to-end, and a guided coach that tells you exactly what to fix next.
7-day free trial, full app, no signup or card required. Happy to answer any questions about ASO, launching, or how I built this!
Solo founder about to launch an iOS app in the main English-speaking markets, and this looks like it consolidates 5-6 different tools I was about to start paying for. Will try it during the trial. Two quick questions:
On localization: my markets are all English-speaking but genuinely distinct in cultural references, idioms, price sensitivity, and search behavior. Most ASO tools treat these as one locale, or run translation when what's needed is cultural recasting. Does Dispatch treat English variants as genuinely distinct (different keyword stacks per region, different copy registers), or is the localization layer mainly oriented toward cross-language?
Where does the keyword data actually come from? Is it model estimation, screen-scraping or something else?
Congrats on the launch!
This looks useful for indie app makers. The annoying part is usually not one single task but jumping btw ASO research, screenshots, translations and AppStore updates. Having all of that in a one time price is a nice direction. How does the ASO audit decide what to prioritize first when a listing has several weak areas?
About Dispatch on Product Hunt
“Your app launch hub with ASO audit, keywords, and ads”
Dispatch launched on Product Hunt on June 3rd, 2026 and earned 78 upvotes and 5 comments, placing #24 on the daily leaderboard. The fastest way to research keywords, draft localized App Store metadata, build marketing sites, and ship every asset — without leaving your Mac. Keyword research, App Store metadata localization, screenshot design, marketing site generation, and App Store Connect operations — all in one native app with on-device AI and no cloud dependency.
Dispatch was featured in Design Tools (260.4k followers), Marketing (464.3k followers) and Developer Tools (513.4k followers) on Product Hunt. Together, these topics include over 181.8k products, making this a competitive space to launch in.
Who hunted Dispatch?
Dispatch was hunted by Michael Frankland. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Dispatch stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michael Frankland