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Indading is relevant to the AI agent ecosystem because of its focus on Core ML and local execution within the Apple ecosystem. As AI agents move from chat interfaces to background-running utilities that interact with a user’s local context, the frameworks Indading uses (SwiftUI and Core ML) will be the primary conduits for these agents on Apple hardware.
By building native apps that already manage personal data like habits and timers locally, Indading is creating the precise kind of structured data environments that on-device agents will eventually orchestrate. Their work on visionOS further extends this to spatial agents, where the context is not just a user’s schedule, but their physical environment. They are positioned as a builder of the 'endpoint' applications that agents will need to interact with to perform meaningful tasks on a user's behalf.
Indading is a boutique software development studio focused on the Apple hardware stack. Founded by Ian Ding and operating as a small-scale independent shop, the company avoids the common industry trend of building cross-platform, web-based tools. Instead, they double down on native development using Swift and SwiftUI. This approach allows them to target the entire range of Apple devices, from the Apple Watch and iPhone to the newer Vision Pro. Their stated mission is to make the world more convenient, a goal they pursue through a series of productivity and utility applications designed to feel like natural extensions of the operating system.
Technically, Indading stands apart by utilizing Apple’s local processing frameworks rather than relying on external APIs for everything. Their stack includes Core ML, ARKit, and RealityKit, indicating a focus on on-device machine learning and spatial awareness. This native-first philosophy is a strategic bet on privacy and performance. By running models locally through Core ML, their applications can offer intelligence features without the latency or data privacy concerns associated with cloud-based AI services.
The company’s flagship product, HabitLog, is a tracker and timer that emphasizes a minimalist, calming aesthetic. While habit trackers are a crowded category on the App Store, Indading differentiates HabitLog through its UI simplicity and native performance. The app is designed for users who want to manage their daily routines without the friction of complex menus or heavy social features. It represents the broader Indading philosophy: technology should simplify the day, not add to the cognitive load.
Beyond basic iOS utilities, the company has early footprints in the spatial computing sector. By building with visionOS and RealityKit, Indading is among the early wave of developers attempting to define what personal productivity looks like in a post-screen environment. Their apps on visionOS aim to bridge the gap between digital content and physical space, using ARKit to anchor interfaces into the user's environment. This positioning is critical as the market shifts toward wearable computing, where native performance and spatial context are more valuable than simple cross-platform compatibility.
Indading operates in a competitive landscape filled with both solo indie developers and large platform incumbents. On one side, they compete with established productivity studios that have much larger teams. On the other, they must contend with Apple itself, which frequently "Sherlocks" successful indie utilities by incorporating their core features into the next version of iOS or macOS.
To survive this dynamic, Indading focuses on high-polish design and early adoption of new hardware features. While many developers wait for a platform to reach mass-market scale before building for it, Indading’s inclusion of visionOS and watchOS in its core roadmap suggests a strategy of early territory-marking. They are not building broad platforms; they are building specific, high-quality tools for a loyal segment of the Apple user base that values native integration above all else.
A habit tracking and timer application for iOS with a clean, calming interface.
Ian Ding's Emacs setup
Full Tango based colorscheme
The last piece of the Vim-terminal puzzle
Dash repo of user contributed docsets
An intuitive TODO list in Vim
The source code of my personal blog
Ian Ding's recommended emacs config
Ian's Website
CoqIDE in Vim
Solve LeetCode problems in Vim!
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