Backdrop

AI Coworkers that run your projects and operations

Productivity

SaaS

Artificial Intelligence

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Everyone here is reacting from the "team with scattered Slack/Notion knowledge" angle, which makes sense since that's who you built for, but I'm curious where the line is for a one-person team. If it's just me, GitHub, and a task tracker, is there still enough fragmented context for Alex to be worth wiring up, or is the value fundamentally about reconciling multiple people's half-knowledge? Not knocking it, genuinely trying to figure out if this category applies below a certain team size.

The shared company context across Slack, GitHub, Linear and Notion is the piece I would test first — for a community or product team the risk is not capability, it is a coworker surfacing something from a private channel into the wrong doc. On setup, can I scope what each coworker reads — connect Slack but exclude specific private channels, or restrict a coworker to one Linear team — or is it all-or-nothing per integration? And when it synthesizes customer feedback into a spec, does it cite the source threads so I can trace a claim back before acting on it?

This really resonates! AI has made building faster, but deciding what to build and keeping everyone aligned on the context behind those decisions is still incredibly hard. The approach of bringing that scattered knowledge together and turning it into actual execution feels very timely.
Congrats on the launch!

that's a great breakdown, especially the point about reading data being maybe 20% of the work. the Google Workspace / Figma example makes sense too, since a PM and an engineer looking at the same file are basically doing 2 different jobs even though the underlying API call is identical. are you building the role-specific behavior as hardcoded rules per app, or is there a more general framework so a new integration doesn't mean starting from scratch each time?

Looking forward to this. It is going to help employees with task management and delegation to agents that get stuff done efficiently.

Cool!

Information silo is so detrimental to most teams. Pumped to see how this performs!

the "someone joins the team and suggests an idea already tried six months ago" scenario is such a specific and true pain point, that's the real cost of tribal knowledge living in people's heads instead of anywhere searchable. when Slack, Linear, and a doc genuinely disagree on the current state of something, does Backdrop surface the conflict to a human, or does it pick one source as authoritative and move on?

Really like the vision behind this Keeping context inside the company instead of losing it across chats feels incredibly valuable Congrats team

This is cool, all these shared context cos are building stuff for the user but for not the org and its hard to flow context (and importantly, source of truth) across the org. Also daisy chaining tool use is pretty unique in this context.

Is orchestrator multi model?

I like the idea of AI coworkers having a persistent understanding of company context instead of starting every task from scratch. Continuity is something most current AI workflows still struggle with.

this is so exiting. the shared context and information, along with actions to do tasks. will definitely cut down the time our team spends on working with AI agents rather than these agents for working for them. Are Alex and Sam purpose built? Or can they be used interchangeably?

the integration list is honestly impressive, basically covers every tool my team already lives in. love that the AI coworkers actually build shared context instead of just answering questions in a vacuum

love how you pulled together so many integrations into something that actually feels cohesive instead of bolted on. the shared company context piece is honestly the part most tools skip, so good to see it done right.

AI coworkers become useful when the handoffs are legible. For projects and operations, I would want every automated step to leave behind the why, the source, and the next human decision needed, so the team gains leverage without losing accountability.

This is neat. How does it decide which tasks to handle autonomously versus loop you back in?

Would love to see a quick weekly digest mode where the AI coworker summarizes what it touched across Slack, Linear, and Notion so the team can skim changes without digging thread by thread. That kind of cross-tool recap would save a lot of context switching for everyone.

honestly the shared company context idea is really compelling, one thing i'd love to see is a way to mark certain decisions as final or source of truth so the ai doesn't second guess them when pulling context for new projects, basically a confidence flag for historical calls