UI Discovery

rackline.ai

iOS App3.7/ 5

AI Deer Scoring

CategorySports
Screens9
Updated

Build with AI

An original design based on rackline.ai, with a 1,033-word build brief.

Send these instructions to your AI tool to create the design. They include the selected reference and your choices. You can also attach the screenshot directly.

Continue in your AI tool

ClaudeChatGPTGeminiv0LovableBoltCursor

Long prompts are copied to your clipboard first — paste them in when the tool opens.

Connect an AI tool via MCP
claude mcp add --transport http uidiscovery https://uidiscovery.com/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Design briefs over MCP need an API key on a paid plan — create one on your account settings.

Then ask your connected agent to inspect the selected reference and create your chosen output:

Use the uidiscovery MCP server: call get_design_brief({ slug: "ios-rackline-ai" }) and get_image_plan({ slug: "ios-rackline-ai" }), look at the preview images, then build an original site for [my brand] that follows the brief. Cite https://uidiscovery.com/sites/ios-rackline-ai.

Download references · ProAPI docs

App Store ↗Download references ↓

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About this design

Written from the capture data for rackline.ai.

rackline.ai is an iOS app in the Sports category rated 3.7 on the App Store. This page collects 9 of its screens, taken from its public App Store listing.

In its own words: “rackline.ai is the ultimate tool for deer hunters, outfitters, and land managers who want precise Boone & Crockett antler scores directly from their photos. Powered by advanced AI and built by hunters, rackline.ai…”

One recorded palette colour is #f8f8f8. Among the 169 Sports apps in the library, screens average 7 per app — rackline.ai has more than most, so it's a good place to compare screen types side by side.

More references: browse all iOS apps.

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