Home / Sectors / Workspace search and productivity

Workspace.

Workspace search and activity feeds that don't get slower as the workspace grows.
The buyer's problem

A Notion or Linear workspace at 100K documents takes a noticeable second to search. The search bar is the most-used surface in the product, and it's getting slower as customers succeed.

What Hadron replaces

The in-browser indexer and filter layer behind global search and @-mention pickers - same UX, fast at any workspace size.

What the buyer gets

Sub-100ms search at 100K documents, no server hit, and the same dispatch engine drives the activity-feed filter so mention-aware feeds stay instant.

Patents demonstrated: P3 P4 Reference customers: workspace collaboration and productivity platforms
How to tell Hadron is working

Hadron is not claiming the GPU is fastest. It picks the right backend for each operation. A two-character search prefix routes differently than a six-character one; an @-mention filter takes a different path again. Watch the Dispatch evidence panel beside each app: every keystroke prints which path was chosen, the score, and a one-line reason.

GPUHardware-accelerated - chosen when batch size, shape and precision all favour it.
WORKERBackground thread - chosen when GPU transfer cost would dominate.
CPUInline - chosen for small workloads where dispatch overhead would dominate.
REFUSEDGPU categorically refused (patent-protected) - e.g. very short prefixes, fuzzy queries.
UI heartbeat: 0 frames painted Longest frame gap (last 5s): 0 ms main thread responsive
How to read this page Two applications below: a global search across 100,000 synthetic workspace documents, and a live activity feed with mention-aware filtering. Try the search bar - the result count updates while you type.