Testing a tool to reduce context loss in productized service teams
I’m building OMNEX, an early-stage workspace that came out of a recurring problem in service-style work: delivering consistently while juggling email, chat, docs, meetings, and task boards—often for multiple clients at once.
The tools themselves aren’t the bottleneck. The bottleneck is context reconstruction—figuring out what was decided, what’s pending, and what’s next every time work switches between clients or pauses overnight.
OMNEX is testing a simple idea:
Keep conversations, tasks, files, meetings, and decisions tied to the same work unit, so teams can resume delivery without re-reading threads or opening five tools.
Why this might fit productized services
• Repeatable workflows with lots of handoffs
• Client communication mixed with internal execution
• High cost to losing context between “done” and “next”
Current state
• Live beta (no pricing, no credit card)
• Small group of early users testing real work
• Iterating quickly based on feedback
I’m looking for founders or teams running productized services who are open to trying this in real client work and giving honest feedback—what speeds delivery vs. what adds friction.
If this resonates, you can request early access here:
👉 https://omnex.tech
This is a really clear articulation of a common pain in productized services — context loss between clients and work units kills flow more than the tools themselves.
Curious — as you’re watching early users, what specific behavior are you treating as the first sign that context is actually being preserved?
For example, is it users returning to a work unit without digging through email/chat history, fewer follow-up clarification requests, or shorter “handoff pauses”?
Those kinds of leading signals often tell you whether the idea is reducing cognitive overhead before you pick a pricing or positioning path.