Check the acquisition promise
Read the store headline, screenshots and description. What problem is the app promising to solve?
Study the storefront ↗Bruno Wernimont · 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 app could definitely help with more customization options, especially max token output
People don’t realize that ai Llm apps don’t expose rest api usually. This is a gem but it needs some fixes. I can confirm rest api actually works. It does need to allow custom models we can load ourselves, since stuck using their models. Can’t train these models unfortunately. The models didn’t work well but I gave 3 stars still because this app could be the one that everyone goes to for this.
Very easy to use sleek ui. I have it working with Pythonista apps. Does it have to remain open to work? O have problems with various clients connecting to it after pulling models. Otherwise it works looks good and can run nice size models
Create your own Local LLM Server app, designed to bring advanced language models directly to your iOS device. The server supports an Ollama-style AP...
| Name | Price | Type |
|---|---|---|
| Pro - Lifetime | $7.99 | One-time |