Uptime and heartbeats
Know whether the release held with availability checks.
Follow the signal from customer feedback to the evidence that proves what happened next.
Know whether it held.
Know whether the release held with availability checks.
Keep incident response and customer-facing status context together.
Review Lighthouse report evidence against configured targets.
Investigate test outcomes and flakiness evidence across runs.
One workspace
Signals in, evidence out.
From the first customer signal to the audit trail, every part of the loop links to the next. Jump into any piece.
Feedback
Capture and triage feedback with structured context and AI insight.
Feature flags
Typed flags, targeting, and deterministic rollouts.
Uptime
Monitors, SLA windows, and incident response.
Deployments
Services, environments, rollbacks, and the four DORA metrics from your real deploys.
AI usage
Usage evidence and estimated cost, with privacy controls.
Audit logs
A transactional trail across the workspace.
One change, connected
Follow an illustrative signal as its context travels through the supported loop.
Feedback
An illustrative customer signal enters the shared feedback workspace.
The question to answer
How does every supported signal connect across the product development loop?
Keep customer feedback, delivery, release health, quality, reliability, and cost context connected.
In focus: bd · discovery · feedback · product · engineering · release · reliability · evidence
Build and verify the change.
Build and verify the change with supported GitHub context.
Inspect delivery workflow activity in the connected release workspace.
Investigate test outcomes and flakiness evidence across runs.
Keep supported API contracts inspectable alongside release evidence.
Compare public cloud compute pricing as planning evidence.
01
Source control
Connect repositories, commits, pull requests, and CI context to release evidence.
02
Communication
Send supported operational notifications to the channels where teams coordinate.
03
Communication
Route supported operational notifications into Microsoft Teams.
04
Communication
Route supported operational notifications into Google Chat spaces.
05
Automation
Connect supported events to the internal tools and workflows your team already uses.
06
Source control
Bring merge requests, pipelines, and CI context into the delivery loop.
07
Source control
Connect Bitbucket pull requests and pipeline runs to release evidence.
08
Communication
Route supported operational notifications into Discord channels.
09
Automation
Fan supported delivery events out to thousands of downstream apps.
010
Project management
Tie issues and cycles to the changes that resolve them.
011
Project management
Connect Jira issues to delivery and release evidence.
012
Observability
Correlate deploys with metrics, monitors, and incident signals.
013
Observability
Link error and regression signals back to the release that shipped them.
014
Observability
Bring incident timelines next to the delivery record that triggered them.
015
Deployment
Connect Vercel deployments and preview URLs to release history.
Great without AI. Superhuman with it.
lube has to earn its place with AI switched off. Then AI makes the person using it faster, on your provider, with your data, and every estimate labeled as an estimate.
“I stopped pinging three people to find out whether a release actually went out.”
“Feedback finally sits next to the work that answers it. No more re-explaining the same request.”
“Deploy, the flag behind it, and the uptime dip are in one place. Incident reviews got a lot shorter.”
“I can see delivery flow without turning my team into a leaderboard. That mattered to me.”
“I stopped pinging three people to find out whether a release actually went out.”
“Feedback finally sits next to the work that answers it. No more re-explaining the same request.”
“Deploy, the flag behind it, and the uptime dip are in one place. Incident reviews got a lot shorter.”
“I can see delivery flow without turning my team into a leaderboard. That mattered to me.”
“No more begging for a seat in a tool I only need to read from. I just have the context.”
“The flaky test that wasted our week finally showed up as a pattern instead of a mystery.”
“One workspace from the customer signal to the audit trail. Our tool sprawl actually went down.”
“AI spend and adoption are finally reviewable without a spreadsheet nobody trusts.”
“No more begging for a seat in a tool I only need to read from. I just have the context.”
“The flaky test that wasted our week finally showed up as a pattern instead of a mystery.”
“One workspace from the customer signal to the audit trail. Our tool sprawl actually went down.”
“AI spend and adoption are finally reviewable without a spreadsheet nobody trusts.”
Preview pricing
Amounts are provisional launch previews and may change before general availability.
$0
Preview / provisionalper user per month, billed annually
Start with the core workspace and evaluate a supported workflow.
$15
per user per month, billed annually
Connect product and engineering evidence for a growing team.
$30
per user per month, billed annually
Give several teams shared visibility, permissions, and auditability.
lube is built by developers and product people who spent years switching between a dozen tools just to answer one question. What did the customer ask for? What shipped? Is it holding up?
The context we needed was always one login away. Sometimes you had access, sometimes you did not. You could not see feedback yourself, so you waited on someone to forward it, and the delay quietly cost you. The company would not pay for another seat, so the people told to keep up with users never actually could.
It was a mess that slowed everything down. So we started building the workspace we always wanted: one place where the signal, the delivery, and the evidence live together, and where access is not a gate between you and your own work.
Built out of the pain we lived, for the teams still living it.
Begin with a self-serve workspace, then bring the rest of your supported product development loop into view.