This week, Apple announced a series of discovery features that will personalize app recommendations based on users’ interests and behavior, providing a new way for developers to have their app discovered.
Discover stories and stacks behind your favorite apps
DIscover what makes your favorite apps so special - from their origin story to their tech stacks and the tools their teams rely on daily. Build smarter by learning from the best.
Limit - Social Bookmarks (@limitapp.bsky.social)
A purposefully constrained Bluesky client for #ios. It remembers your position in the timeline. #AI features - AI timeline, AI post explanation, AI article summarization App store: https://apps.apple.com/us/app/limit/id6748037680 And it’s open source.
Apps are too complex so maybe features should be ownable and tradable
Posted on Friday 29 Apr 2022. 1,955 words, 12 links. By Matt Webb.
Pixie: A System for Recommending 3+ Billion Items to200+ Million Users in Real-Time
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a …
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendations presents a major challenge due to a massive pool of items, a large
Safety and Privacy center
At Spotify, we aim to create great and unique experiences for each user. Our goal is to connect everyone with what they love and help them discover something new. No two listeners are the same, so everyone's Spotify experience, and many of our recommendations, are personalized. When asked what they like about Spotify, most listeners cite our personalization as their top feature. You might wonder how we generate these recommendations across the Home feed, playlists, search results or other parts of the service, and we want to help demystify how they work.
Letting Users Choose Recommender Algorithms: An Experimental Study
Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases. As one way of taking advantage of the relative merits of different algorithms, we gave users the ability to change the algorithm providing their movie recommendations and studied how they make use of this power. We conducted our study with the launch of a new version of the MovieLens movie recommender that supports multiple recommender algorithms and allows users to choose the algorithm they want to provide their recommendations. We examine log data from user interactions with this new feature to understand whether and how users switch among recommender algorithms, and select a final algorithm to use. We also look at the properties of the algorithms as they were experienced by users and examine their relationships to user behavior.
Introducing Index App
We're excited to launch Index App, introducing a new way to discover ideas, insights, and connections through multiple autonomous agents that understand context and respect privacy. Whether you're following AI developments, looking for interesting events in your area, or seeking specific technical discussions, Index App ensures you never miss what's important to you. Think of it as having a group of thoughtful friends who know your interests, spot valuable discussions, and make introductions ...
Discover iOS apps | Mobbin — UI & UX design inspiration for mobile & web apps
Browse and search across hundreds of iOS apps for UI & UX research.
userinput.app
Collect feedback: post ideas, vote on what matters, and watch them go from planned to shipped.
Introducing MacStories Selects: The Best New Apps, App Updates, and iOS Games of 2018
Over the course of a year, the MacStories team tries hundreds of apps. We test them, live with them, poke, prod, and break them, and then we write and talk about them. Collectively, it amounts to thousands of hours of thought and analysis that on a macro level seeks to answer the question: what makes
Detail - Argmax
Detail, Apple's pick for iPad App of the Year 2025, leverages Argmax SDK to build their flagship AI features such as text-based video editing and automatic speaker switching using Argmax SDK, migrating from cloud APIs. - Dec 09, 2025
@toni.bsky.team @alexbenzer.com i think yall need to wrestle with the fact that the app’s most distinctive feature (“custom feeds”) is something only (relative) nerds use and benefit from. normal people won’t swipe between many algorithms or whatever. have a look at past designs for “communities”
