Looking for a Spoke.ai alternative?
Spoke.ai read across your chat and turned it into actionable insight — then it was acquired and folded into Slack. SignalOps is the independent, multi-source successor: it reads your conversation and your trackers, joins them, and produces typed signals and analytics that are not locked to a single platform.
Slack, Teams, Discord, Linear, Jira, Asana, ClickUp — not tied to one vendor.
One evidence base, from two kinds of source
This is what makes SignalOps different. The AI you already pay for is stuck in one room: Slack AI only sees Slack, your tracker only sees tickets. SignalOps reads both your conversation and your work tracker, and — crucially — joins them. The decision argued out in a Slack thread and the Linear issue it concerns become one connected story, not two disconnected fragments.
Joined, not just collected
Deduplicated across sources
The same issue raised in a Slack thread and filed in Jira collapses into one signal — you see the problem once, with both sources attached, not twice.
Message linked to ticket
SignalOps knows that this conversation is about that Linear issue, and links them deterministically. The context and the work item travel together.
Correlated into groups
Related signals across channels and projects are correlated and grouped, so a problem that shows up in three places reads as one thing, not three.
Real delivery metrics
Connect a tracker and the delivery lens uses actual cycle-time — how long work really took — instead of a guess.
Four things get pulled out of every conversation
SignalOps reads what your team already wrote and turns loose discussion into structured, typed records you can act on. No tagging, no slash commands, no bot in your calls.
Decisions
What the team actually settled — with a link straight back to the message where it happened. The decision that lived in four messages and then disappeared under the next thousand is now a record you can find in six months.
Action items
Who agreed to do what, by when. Owner hints and due dates are lifted from how people really phrased it ("I'll take this by Friday"), not from a form nobody fills in.
Risks
The concern someone raised in passing and everyone moved past. SignalOps keeps it, so a risk mentioned once in a thread does not have to become an incident before anyone looks at it again.
Open questions
Things asked and never answered — the cheapest problems to fix while they are still just questions. Unanswered blockers are surfaced instead of quietly aging.
How it works
- 1
Connect your sources
Slack, Microsoft Teams or Discord for the conversation; Linear, Jira, Asana or ClickUp for the work itself. Pick the channels and projects worth watching. Two minutes.
- 2
It runs on your schedule
Daily, weekly, or whenever you ask. Nobody writes a status update. Nobody tags a message. The analysis simply runs over what your team already wrote.
- 3
You review an inbox, not a firehose
Signals land in one place, filterable by type, owner, status or channel. Pick a lens, read the report, act on what is yours.
FAQ
Is SignalOps the same as Spoke.ai?
No — it is an independent product with a similar goal: read across your team's sources and surface what matters. It is not affiliated with Spoke.ai or its acquirer.
Is it locked to one chat platform?
No. It reads Slack, Microsoft Teams and Discord, and joins them with Linear, Jira, Asana and ClickUp. Multi-source is the point.
Independent, multi-source, still here
Connect your chat and trackers and get the joined picture Spoke.ai used to give you.