PathPilot

PathPilot

AI-First Customer Experience Platform

178 followers

PathPilot is an AI tool that transforms user session replays into “highlight reels,” helping you spot critical moments from thousands of hours of recordings. Save time, uncover insights, and take data-driven action to boost customer retention.
PathPilot (YC S24) gallery image
PathPilot (YC S24) gallery image
PathPilot (YC S24) gallery image
Free Options
Launch Team / Built With

What do you think? …

Vladimir Korshin
Howdy Product Hunters! Thanks @katmanalac! It's strange that nearly every software company stores session replays, and nobody watches them. It's just too time-consuming. But what if you could watch every moment of every user session? What would you learn? Which customers would you follow up with? What issues would you uncover? At PathPilot, we are building an AI that observes session replays like a business owner and then takes action on those observations, like a business owner. Our first product ingests collections of session replays and extracts a highlight reel of noteworthy events, allowing you to quickly keep tabs on your real user experience. We can help if you: + Have specific customers that you cannot lose + Want insights on where users get lost or confused + Care about minimizing bugs and UI issues + Want to understand how users interact with new features Our earliest customers use PostHog for session replays, but we can support most alternatives. If you book a demo we can get you started with sample reel of interesting highlights for free.
Max Savonin
@katmanalac @inactive_user_ PathPilot's approach of using AI to analyze session replays and extract key insights is a valuable tool for understanding user behavior. The ability to automatically identify noteworthy events can save time and provide actionable insights for businesses. Here are some questions for further exploration: - Can PathPilot be customized to focus on specific user actions or behaviors relevant to a particular business? - How does PathPilot ensure the privacy and security of user data captured in session replays? - Does PathPilot integrate with other analytics or customer relationship management (CRM) tools? As a developer with experience in AI and data analysis, I'm interested in how PathPilot works. Here are some potential areas for collaboration: - Contributing to the development and refinement of the AI algorithms used for analyzing session replays and extracting insights. - Exploring additional features like user segmentation, heatmaps, or predictive analytics. - Integrating PathPilot with popular analytics or CRM platforms for a more comprehensive view of user behavior. I'd love to learn more about PathPilot's technical architecture and explore opportunities to contribute to its development. Additionally, I'm interested in trying out PathPilot with a sample of our session replays to see the insights it can provide.
Kyrylo Silin
Hey Vladimir, How does PathPilot determine what constitutes a "noteworthy event" in a session? Can users customize the criteria for what gets included in the highlight reel? Congrats on the launch!
Vladimir Korshin
@kyrylosilin Good questions: Right now "noteworthy events" are not strictly defined. It is a mix of what the customer wants to see more of (e.g. users interacting with a new feature) and what is discovered organically (UI issues, interesting user behaviors, etc). We regularly adjust our highlights based on customer feedback. Highlight detection is currently semi-automated. It's a mix of humans and AI, moving increasingly towards automation (though much work remains).
Mehul Kaushik
@kyrylosilin I came to the comment section to ask the same question.
Orkhan Hajiyev
You guys fixing a huge problem. A lot of time savings due to these solutions will. Best of luck to the team.
Vladimir Korshin
@orkhanh Thank you, I'm interested to hear what you've been using session replays for. We've seen a lot of different use cases.
Orkhan Hajiyev
We've used it for several cases: - for detecting any bad UX (one time we found that the CTA button was hidden behind the chat overlay (when it was opened) - to find out any dead clicks - text to fit the UI frame of elements (especially when users have a different than English default browser language) - to identify where users think more before taking action - a lot of insights after watching the behavior of users in pricing pages (that helped optimize it) - and more
Vladimir Korshin
@orkhanh Nice, yeah. Those seem like great finds/use cases. It's a lot of digging to find the UX gold though right? I'll shoot you a message tomorrow to see if we can help. It's bedtime!