Panorama analyzes your workplace data to recommend hidden structures and AI workflows your team can run together. Nobody has time to sit down, look at everything their team does, and figure out which parts a computer could handle. Panorama does that for you. It watches how your team works, finds the parts that are always the same, and says “I’ll do that from now on.”
Hey Product Hunt! I’m Jackie, co-founder of Panorama.
As a scientist and first employee at Lila Sciences I witnessed something strange — along our trajectory from 1 employee to 100 there was always the same problem. Instead of spending 100% of time doing the work that propels the company forward, more and more time was spent constructing glue between teams, preparing for meetings, filling in forms.
At twitter, Lyft, CashApp, and Google, my co-founder Jingwei saw the same thing even on the best teams.
Panorama is built to free humans from this burden, by leveraging work data, surfacing hidden structures, and recommending personalized, collaborative flows.
It sees you fill out the same notion document every Friday, and offers to provide a draft.
It notices your team planning doc gets turned into linear tickets, and steps in to do it automatically.
It notices subtle things you’ve been looking for answers to but don’t have time for — counting how many times the team is distracted, noticing who is burnt out and who can take on more.
And if the workflow is complex, can your AI handle it? For example: open a website, copy specific information from a page into Excel, connect to email, write an email using a specific template, etc. This requires integrations with different systems and using programs on a computer.
Coming from a PM background where I spent years mapping processes at larger orgs, the hardest part is always the difference between a real workflow and a workaround that people have been running manually because the official system is broken or missing something.
Automating a workaround just makes the underlying gap invisible and faster. How does Panorama handle that distinction? Does it flag cases where a repeated pattern might be a symptom of a product or tooling gap rather than a good automation candidate?
This is what I imagined when hearing about AI agents and automated workflows. I see how the value prop is clear, but I'm curious how you handle the tension between insight and surveillance. I
How do you think about the line between 'helpful visibility for managers' and 'employees feeling monitored'? Has that come up in beta?"
really like the idea of discovering workflows you didn't even know you had — that's the hard part most automation tools skip. curious about the data access though, connecting slack + notion + linear means panorama sees a lot. how are you handling data privacy and what's the retention policy? also wondering how it deals with teams that have messy, inconsistent processes
What are common patterns you've seen in terms of workflows teams find themselves getting stuck in that are able to be automated? What do the ideal solutions generally look like?
This sounds very helpful! Curious how this works for companies with strict privacy regulations. Does Panorama store the workflow data it collects for training, or is it processed and discarded?
Cool launch!
I like the idea of outsourcing the analysis part. When Panorama suggests an AI workflow, is there a human approval step before it "takes over" the task?
Been following Panorama's journey since the early days! So pumped to see it launch and helping every team automate the right things. Huge congrats to Jingwei and the team!!
discovery is the easy part - who prioritizes which workflows to actually run? curious if there's a scoring layer or if that's left to the team.
Most automation tools assume you already know what needs automating, which is half the problem. We're a small team using Slack, Notion, Google Workspace, and a bunch of other tools, and I'm sure there are workflows we repeat every week without realizing they could be automated. Having AI analyze the actual patterns and recommend automations instead of building them from scratch is a much better starting point. How much data does it need before the recommendations become useful? Like does it need weeks of history or can it find patterns pretty quickly?
Congrats on the launch! What sort of features have you planned on the roadmap @jingweihao & @jaclyn_lunger ?
Coolest launch of the day fs! What surprised you the most when observing how teams actually work vs how they think they work?
Hey Jackie, that trajectory from 1 to 100 employees and watching more and more time get eaten by glue work instead of real work is such a common pattern. Was there a specific week where you looked at your calendar or your to-do list and realized you’d spent most of it just preparing for things instead of actually doing them?
Here’s me being amused by Panorama telling me I only review code when feeling extra guilty
Hey Product Hunt! I’m Jackie, co-founder of Panorama.
As a scientist and first employee at Lila Sciences I witnessed something strange — along our trajectory from 1 employee to 100 there was always the same problem. Instead of spending 100% of time doing the work that propels the company forward, more and more time was spent constructing glue between teams, preparing for meetings, filling in forms.
At twitter, Lyft, CashApp, and Google, my co-founder Jingwei saw the same thing even on the best teams.
Panorama is built to free humans from this burden, by leveraging work data, surfacing hidden structures, and recommending personalized, collaborative flows.
It sees you fill out the same notion document every Friday, and offers to provide a draft.
It notices your team planning doc gets turned into linear tickets, and steps in to do it automatically.
It notices subtle things you’ve been looking for answers to but don’t have time for — counting how many times the team is distracted, noticing who is burnt out and who can take on more.
Try compose.withpanorama.com for free, and start running automations recommended just for you!