Propane gives your product team and agents one connected, always-current view of your customers. Automatically collected from all your tools. Collaborate on a shared canvas. Commit straight to any coding or design agent. Secure, maintained, always on. You just build products people love.
@tehreem_fatima5 No, we take care of that, we are also planing to enable the agent to talk to the handover to get what i needs to do the job and use the spec to eval the job.
Congrats on the launch Dennis. Can Propane distinguish between strong customer signals and one-off noisy feedback from a loud account?
@rohanrecommends Thanks, a few people have ask this in a few ways; We have our company context that is vision, icp etc. then we have a clustering system as well that tried to balance this but user intern is also key so it a hard balance between 1 strong voice vs many small; all that is down to startegy or intern when you shape an new feature.
What the strongest use case has been so far: product discovery, roadmap decisions, or handoff into build/design workflows?
@nuseir_yassin1 Yeah i don't like my answer a bit of them all but the power is in the middel, the shaping as a team in the canvas; Also what we get the best feedback on
Question: Can Propane distinguish between strong customer signals and one-off noisy feedback from a loud account?
@ranjan_kumar45 Yes we do some clustering and weighting in our signals system but sometime a load voice can be impactfull feedback, so we have to design for the users/company's intern and vision.
Looks Great.. Context is really the bottleneck. How does it keeps the context fresh in case the data connected changes or gets out of date ?
@nischaydhiman we index data automaticly if there is a new support ticket then we intake it
I had the pleasure of giving Propane a spin with @atherkildsen and I have to say that I believe they're really onto solving "the real" headache for product managers and anyone else working with qualitative (plus quantitative) data collection. Distilling insights from phone calls, emails, usage patterns and shower-thoughts used to be an art form. Propane helps make the process transparent and solid from insight to deployment. Junior PMs get a nudge towards quality and senior PMs get speed and collaboration on the artefacts that matter.
Excited to see where the team will take this!
What are you looking at next @greenlieber ? I suppose with launch on product hunt there will be a lot of insights for you to capture now, and distill? ;)
@atherkildsen @stian_nm Take over the world haha... I want to enable all Product teams to build amazing products based on context, this values them and their customer, fighting AI slop products.
@atherkildsen @greenlieber amazing, looking forward to seeing where you'll go with this! ✨
@atherkildsen @stian_nm so do we :)
@greenlieber @stian_nm 💚 A lot happened since our chat (a month ago 🤪), so you should go check it out!
What does that handoff look like, generating a spec or directly creating tasks in a tracker?
@thamibenjelloun Its a spec with attachment to signals files etc, we have not focused on created tasks in tools like @Linear or @Jira if thats what you mean? How would you like that work out?
Work from context in Canvas -> Spec + context -> Tasks then agents work from that vs direct handover?