Think inside your AI world.
Stripe + Linear through Unl
Two dashboards, one question they can’t answer apart: are we on track for the quarter, and if not, is it the building or the selling?
Stripe + Linear through Unl reads revenue and delivery in one pass, measured against the quarterly target you ratified, so the answer is “on track” or “short — and the gap is revenue, not delivery”. The binding target lives in Unl, not in either tool.
The criterion that binds them
You ratified the quarter’s target and why it’s shaped the way it is: the revenue line to hit, and the delivery milestones that were meant to drive it. That target is the thing both reads answer to.
The two naked reads
Stripe returns the revenue run-rate. Linear returns the cycle burndown. Each is right; neither knows the target, and neither can see the other, so “are we on track?” stays a manual cross-check in your head.
The one measured answer
Measured together against your target: delivery is on plan — the milestones that were supposed to drive the quarter shipped; revenue is 22% short of the line. The gap is revenue, not delivery. That sentence is only sayable because one target sat over both reads at once.
And back again
When you revise the quarter’s revenue line down and push a milestone, both changes are ratified in the same conversation — and the next joint read is measured against the plan you actually hold.
The answer comes back measured against what you already decided, and why.
A router can move Stripe data next to Linear data. It cannot say “the gap is revenue, not delivery,” because that verdict needs the target — and the target lives in neither Stripe nor Linear.
The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Read further
Questions people ask
Can AI compare my revenue and my delivery against a quarterly target?
Yes, through Unl. You ratify the quarter’s target — the revenue line and the milestones meant to drive it — and Stripe and Linear are read together against it, so the answer names whether you’re on track and which half is short.
Why can't Zapier or a router do this?
A router moves data from one tool to another; it holds no view of what you decided. The binding criterion here — the quarterly target and its reasoning — lives in Unl, so only a read measured against it can produce the verdict.
Does Unl change anything in Stripe or Linear?
Unl reads through Stripe and Linear, and can write back on your explicit gesture — it never acts as a side effect of a read.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.