VQV Signal

AI AT WORK WATCH TECHNICAL

Developer rebuilds Things 3 for Windows using AI agents, Rust and GPUI

According to a post on X by @vodriian, the author wanted the Things 3 task manager on Windows, which it does not have, so they asked agents to build a version. The project uses Rust and GPUI, and builds on @evanpurkhiser's things3-cloud project and a plugin by @MariusGhizdavet for Omarchy. The post says the result works well and includes tags in the sidebar. The snippet does not give a release date or further details on the code.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-08T20:55:00+00:00 Detected 2026-11-09T02:24:40+00:00
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According to a post on X by @vodriian, the author wanted the Things 3 task manager on Windows, which it does not have, so they asked agents to build a version. The project uses Rust and GPUI, and builds on @evanpurkhiser's things3-cloud project and a plugin by @MariusGhizdavet for Omarchy. The post says the result works well and includes tags in the sidebar. The snippet does not give a release date or further details on the code.

AI-assisted summary based on the listed source.

@vodriian said he missed Things 3 on Windows, so he asked agents to create it, using Rust and GPUI on top of @evanpurkhiser's things3-cloud project and a @MariusGhizdavet plugin for Omarchy. He says it works well and even has tags in the sidebar. Why it matters: Developers are cloning favorite apps for platforms...

The post suggests developers are cloning favorite apps for platforms they lack, with agents doing most of the work. For Mac and Linux users of Things 3 and for teams that depend on a particular app, this points to a faster route to missing platform versions. It is still a single post, so watch whether the project is shared publicly and how well it holds up for other users.

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 78% Technical label WATCH Public Interest 27 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 20 Novelty Interest Score 70 Consequence Score 22 Curiosity Score 16 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).