Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Emanuele Delirio · iOS
Explore the ad evidence, study the storefront, and build your next acquisition hypothesis.
01 / Creative research
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Explore apps with direct store-link matches. Compare their hooks and formats without assuming the same approach works here.
Browse observed advertisers ↗Store rankings and revenue estimates describe market context. They do not establish ad spend, conversions or ROAS.
Review the market context ↗02 / Storefront & product
Study the product story and store experience behind the acquisition funnel.
03 / Market context
Keep revenue, downloads and store rankings separate from advertising performance.
This is classed with Locally Ai and Pocket Pal and is packed with best on device LLM functionality plus you can import your own gguf models, use voice, use image and use docs. Shortcuts integration is buggy but the app is still 9/10
I am a full stack developer and recently started working with offline models using OLLAMA and open WebUI, I wanted similar functionality on an iOS device, I must say I am impressed with this gem of an app, you have to play around with it , but once you figure out the RAG part (most important), it ROCKSSS!!!, great app for offline work.. BUY IT 😂😂
This app loads faster and smoother than other local LLM’s. It does almost everything a cloud based AI can do and the developer is open to improvements. This is the only on device AI (at this time) that uses RAG with easy implementation and works 100%. Keep the updates coming and thank you for this local AI gem.
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