Customer knowledge isn't a collection of documents. It's a network of relationships. Poth builds a living model of your customers before answering questions, so Ask Poth can reason across all your company knows instead of summarizing isolated sources. That unlocks questions no single source can answer, from what's driving churn to why customers adopt or abandon features. Every conclusion is grounded in evidence. If the answer isn't there, Poth launches adaptive surveys to collect what's missing.
Hello Product Hunt! We started Poth because companies already know a lot about their customers—but that knowledge is scattered across calls, tickets, CRM records, analytics, surveys, and internal docs.
Questions like “What’s driving churn among our highest-value accounts?” rarely have an answer in one place. Teams have to manually connect what customers said, what they did, and what happened to the account.
Poth originally generated hypotheses and ran adaptive customer interviews and surveys. But to ask useful questions, it first had to understand everything a company already knew.
That led us to build a living model connecting customers, accounts, features, behaviors, and conversations across different systems. As teams began using that model to answer questions across their existing customer knowledge, we realized it needed to become a core part of Poth.
Today, Ask Poth reasons across your customer knowledge, grounds every conclusion in evidence, and shows what information is still missing. When the answer isn’t there, Poth can collect it through adaptive interviews and surveys.
We’d love to hear your feedback!
Churn in developer communities doesn't show up in the CRM first. It shows up in Discord going quiet, GitHub issues tapering off, forum activity slowing down weeks before anyone cancels or even thinks about it. Does Poth connect to sources like that, or is the knowledge graph limited to CRM and support integrations? That gap is the one I'd actually want closed.
Alex is pointing at the real hole. I would go one step further.
Staleness never throws an error because absence of data and absence of change look identical to any system built from ingested artifacts. No ticket, no call, no email. The graph reads that as a quiet, healthy account. It is usually the opposite.
We learned that expensively once, with a customer who was signed, warm in every conversation, and had not used the thing a single time. Every source we had said green. The only honest signal was usage, and nobody was looking at it.
So: does Poth model silence as evidence? Not "no data on this account" but "this account has gone quiet in a pattern that has preceded churn before."
And on Artem's question, when the CRM and the support tool disagree, does Poth pick one or surface the disagreement? The disagreement is usually the actual finding.
relationships rather than documents is the right framing. the hard bit is that a relationship goes stale without ever throwing an error, nobody files a ticket when a champion quietly leaves, so the graph keeps looking healthy right up until the renewal.
About Poth Labs on Product Hunt
“The customer brain for your company”
Poth Labs launched on Product Hunt on July 31st, 2026 and earned 184 upvotes and 5 comments, placing #4 on the daily leaderboard. Customer knowledge isn't a collection of documents. It's a network of relationships. Poth builds a living model of your customers before answering questions, so Ask Poth can reason across all your company knows instead of summarizing isolated sources. That unlocks questions no single source can answer, from what's driving churn to why customers adopt or abandon features. Every conclusion is grounded in evidence. If the answer isn't there, Poth launches adaptive surveys to collect what's missing.
Poth Labs was featured in Customer Success (6.2k followers), Analytics (173k followers) and SaaS (43.4k followers) on Product Hunt. Together, these topics include over 69.1k products, making this a competitive space to launch in.
Who hunted Poth Labs?
Poth Labs was hunted by Mojmir Horvath. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Poth Labs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mojmir Horvath