A running journal of what we are shipping, learning and shipping next — from app releases to R&D breakthroughs and community programmes.
Highlights from the last twelve months — selected by the team for the impact they had on our users and partners.
After eighteen months of iteration we shipped the first stable release of our offline multitrack audio editor, with a fully procedural mix-bus, native AUv3 plug-in support and an end-to-end encrypted local project vault.
We renewed our residency at the Sheffield Technology Park and welcomed two senior engineers to the studio — one focused on programmatic graphics and one on privacy research. Our office footprint now hosts a dedicated hardware QA lab.
Internal initiative to remove every unnecessary notification, modal and tracker from our existing apps. Over the quarter we cut average session interruptions by 62% and received a 4.8★ average across our App Store portfolio.
Our internal motion-system specification — covering easing curves, spring physics and accessibility-aware duration budgets — was published under a permissive licence so other indie studios can build on it.
We added two new applications to the App Store: the Personal Goal Decomposer (productivity) and the Jewellery & Heirloom Inventory (collections). Both followed our strict local-first privacy baseline and reached top-100 in their categories within eight weeks.
An independent third-party privacy review was completed across our entire product line. The full report is available to partners on request and our privacy policy has been updated to reflect the regional regulations applicable in the EU, UK, California, Mainland China and the United States.
dlwenyuan.com formally established its independent studio at the Sheffield Technology Park, United Kingdom. From a founding team of three engineers and a designer, the studio set out to build minimalist, privacy-respecting applications for users worldwide.
A glimpse at the systems we are prototyping right now — subject to the usual discipline of waiting until something is worth shipping.
An offline companion app that procedurally composes ambient soundscapes from environmental cues captured on-device. Designed to help users relax, focus or sleep without ever uploading audio.
A privacy-first plant care tracker with offline species recognition powered by an on-device ML model. Records watering cycles, light conditions and growth notes — entirely local.
The next iteration of our motion design system, adding spatial-aware easing curves and developer-friendly code-generation tools. Targeted for public release later in the year.
We publish longer-form updates and technical write-ups a few times a year. Subscribe by sending a short note to our team email.
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