Propolis unleashes AI swarms that eliminate manual QA by testing like real users. Our autonomous browser agents explore all your product flows, find bugs, and adapt instantly to changes. Ship faster with confidence.
Hey Product Hunt! Marc and Matt here, co-founders of Propolis.
Propolis was born from a series of frustrating moments: watching the smartest engineers on our teams waste time writing tests or getting Operator (failed miserably) to test for them, only to watch them break with every UI change. At Palantir, Airtable, and various startups - we'd seen this pattern too many times.
Our "aha" moment: what if AI agents could test products like humans do, by building an independent understanding of how to use the product? That's Propolis.
Our autonomous browser agents:
- Learn how to use your application
- Test every possible user flow
- Adapt instantly when your product changes
- Deliver detailed bug reports with reproduction steps
While the first practical application is QA, we know this can go so much further. Simulating synthetic users that can launch before putting a new feature out into the world, providing feedback on what pieces to optimize.
We're also recreational beekeepers (hence the name Propolis—the protective resin bees use to shield their hives, just as our swarm protects your product from bugs).
As a special PH launch offer, the first 10 companies who sign on to use Propolis get some of our recently harvested honey! 🍯
Marc & Matt
Report
Propolis sounds like a real breakthrough in QA! Autonomous AI agents that test like real users and adapt to UI changes could save teams so much time and frustration.
How do these agents handle complex workflows or edge cases that might require domain-specific knowledge?
Also, the idea of using synthetic users for pre-launch feedback sounds promising. Any plans to expand into that space soon?
Report
Propolis is revolutionizing QA testing! 🐜🔥 AI swarms that mimic real user behavior and auto-adapt to changes? This is next-level test automation - catching bugs before they happen while accelerating release cycles 🚀
Report
Will this also work on mobile apps?
Report
this sounds awesome, excited to have the team try it!
Report
Propolis takes a novel approach to QA—AI swarms that behave like real users, uncovering bugs across product flows with zero manual effort.
Report
Propolis revolutionizes QA with AI swarms that mimic real user behavior to detect bugs and adapt to product changes. Its autonomous testing approach helps teams ship faster with greater confidence and less manual effort.
Propolis
Propolis sounds like a real breakthrough in QA! Autonomous AI agents that test like real users and adapt to UI changes could save teams so much time and frustration.
How do these agents handle complex workflows or edge cases that might require domain-specific knowledge?
Also, the idea of using synthetic users for pre-launch feedback sounds promising. Any plans to expand into that space soon?
Propolis is revolutionizing QA testing! 🐜🔥 AI swarms that mimic real user behavior and auto-adapt to changes? This is next-level test automation - catching bugs before they happen while accelerating release cycles 🚀
Will this also work on mobile apps?
this sounds awesome, excited to have the team try it!
Propolis takes a novel approach to QA—AI swarms that behave like real users, uncovering bugs across product flows with zero manual effort.
Propolis revolutionizes QA with AI swarms that mimic real user behavior to detect bugs and adapt to product changes. Its autonomous testing approach helps teams ship faster with greater confidence and less manual effort.