Zentrik turns sales calls, support tickets, research, and product data into a living Loop from signal to production. Insight to opportunity, study to idea, delivery to learning.
Teams can identify the best bet, test it before scope hardens, and carry customer intent into Jira hierarchies and AI builders. What ships returns as evidence for the next decision → so faster building creates customer value, not just more output.
This is the 2nd launch from Zentrik. View more
Zentrik Product Loops
Launching today
Zentrik connects sales calls, support tickets, research, and experiments with users to the decisions they inform. Those links form a living Loop from signal to production: insight to opportunity, study to idea, delivery to learning.
Teams choose the best bet, test it before scope hardens, and carry the customer reason into Linear, Jira, and AI builders. What ships and how customers respond become evidence for the next decision. They can build faster without mistaking output for customer value.
Free Options
Launch Team
Hey Product Hunt 👋 Jorge here, co-founder of Zentrik.
Product work starts and ends with people. Zentrik Loops came from realizing how easily those people disappear from the work between those two points.
Zentrik Loops come from a failure in our own workflow. Codex, Cursor, CC and a growing set of agents helped us turn a request into a prototype, or pull request in minutes. But our decision-making became the bottleneck, and the context we lost along the way diminished the value of every release.
A call became a summary, the summary became a backlog item, and the item became an agent prompt. The customer reason got thinner at each handoff. We heard the same pattern in customer conversations: by delivery, teams could not inspect why the bet existed or what would count as proof.
So, we built Zentrik Loops to manage our product context, and let that reason survive the roundtrip to production:
Learn → Decide → Build → Learn
Zentrik connects sales calls, support tickets, research, and experiments with users to the decisions they inform. Teams choose the best bet, test it before scope hardens, and carry the evidence and constraints into Linear, Jira, and AI builders.
What ships, and how customers respond, becomes evidence for the next decision.
AI can structure the evidence and prepare the work. People still make the product call.
For our Product Hunt launch, individuals can get up to 3 months of Zentrik Super PM free with code PRODUCTHUNT2026.
I’d genuinely value your experience and builder feedback: where does the customer reason get lost in your product workflow today? What is your bottleneck now that delivery is cheap?
Really excited to finally share Zentrik Loops with everyone here.
We’ve spent a lot of time thinking about how product teams can move faster without losing the customer context behind what they build. This launch is a big milestone for us, and we’d genuinely love to hear how others are dealing with that challenge in their own workflows.
Thanks for checking it out and for any feedback or support ❤️