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Propolis (Propolis) is automating away QA. Propolis deploys swarms of browser agents that test products like real users would, catching bugs before deployment with zero setup or maintenance required. Congrats on the launch, Marc Papazian and Matt!

Y Combinator

1,637,120 subscribers

18,409 次观看 • 1 年前 •via X (Twitter)

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5 条评论

AI Capital 的头像

AI Capital1 年前

@propolis_ai @PapazianMarc AI-driven QA swarms? The future of bug hunting just landed—bravo Propolis team. Watching this space for next-gen product launches.

Greg Caplan 🚀 的头像

Greg Caplan 🚀2 年前

Stop wasting time following up with leads. Let our AI agents do it for you.

Jamji Jamaramji 的头像

Jamji Jamaramji1 年前

@propolis_ai @PapazianMarc Real propolis actually tastes great – highly recommeded – the good stuff. That said: great idea!

Nizzy 的头像

Nizzy1 年前

@propolis_ai @PapazianMarc nice launch!

Parth Ahir 的头像

Parth Ahir1 年前

@propolis_ai @PapazianMarc Impressive approach. I wonder how this will reshape QA roles for humans—will testers become strategists or something else entirely?

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89,758 次观看 • 2 天前

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!

XBOW raised $117M to build AI hacking agents. Now someone just open-sourced it for FREE. Strix deploys autonomous AI agents that act like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. Why it matters: The biggest problem with traditional security testing is that it doesn't keep up with development speed. Strix solves this by integrating directly into your workflow: ↳ Run it in CI/CD to catch vulnerabilities before production ↳ Get real proof-of-concepts, not false positives from static analysis ↳ Test everything: injection attacks, access control, business logic flaws The best part? You don't need to be a security expert. Strix includes a complete hacker toolkit - HTTP proxy, browser automation, and Python runtime for exploit development. It's like having a security team that works at the speed of your CI/CD pipeline. The best part is that the tool runs locally in Docker containers, so your code never leaves your environment. Getting started is simple: - pipx install strix-agent - Point it at your codebase (app, repo, or directory) Everything is 100% open-source! I've shared link to the GitHub repo in the replies!

Akshay 🚀

96,762 次观看 • 9 个月前

Everyone else is making money with AI — are you still just using it to get things done faster? In the first episode of our three-part series(1/3), we walk through EdgeOne Makers and how AI Agents are evolving from productivity tools into real products that generate revenue. 💡 What you'll see: • The next wave of AI — products, not just productivity • Two paths to monetization: existing business + Agent, or idea → MVP • One-click deployment, hosting, and global delivery with EdgeOne Makers Check the comments for event perks — join now and get up to 50M Tokens!

Everyone else is making money with AI — are you still just using it to get things done faster? In the first episode of our three-part series(1/3), we walk through EdgeOne Makers and how AI Agents are evolving from productivity tools into real products that generate revenue. 💡 What you'll see: • The next wave of AI — products, not just productivity • Two paths to monetization: existing business + Agent, or idea → MVP • One-click deployment, hosting, and global delivery with EdgeOne Makers Check the comments for event perks — join now and get up to 50M Tokens!

Tencent EdgeOne

1,641,482 次观看 • 1 个月前

🚨🇺🇸 STARBASE GOES UNDER THE TORCH: SPACEX DEMOLISHES PAD 1 FOR NEXT-GEN STARSHIP ERA SpaceX is in full teardown mode at Starbase, ripping apart the Orbital Launch Mount at Pad 1… the same mount that launched several of Starship’s early orbital test flights. This isn’t routine maintenance. It’s a total structural demolition, signaling that Elon’s team is moving past the prototype phase and preparing for a new generation of Starships with updated infrastructure to match. Pad 1, once the centerpiece of early Starship history (and a few RUDs), is being cleared to make way for more powerful boosters, faster turnaround systems, and a launch cadence that actually starts to look like the future of spaceflight. The redesign is expected to support upcoming fully reusable architectures, larger tankers, and possibly human-rated launch systems as SpaceX eyes both Mars and commercial deployment. Out with the old. In with the interplanetary. Source: NSF - NASASpaceflight.com

🚨🇺🇸 STARBASE GOES UNDER THE TORCH: SPACEX DEMOLISHES PAD 1 FOR NEXT-GEN STARSHIP ERA SpaceX is in full teardown mode at Starbase, ripping apart the Orbital Launch Mount at Pad 1… the same mount that launched several of Starship’s early orbital test flights. This isn’t routine maintenance. It’s a total structural demolition, signaling that Elon’s team is moving past the prototype phase and preparing for a new generation of Starships with updated infrastructure to match. Pad 1, once the centerpiece of early Starship history (and a few RUDs), is being cleared to make way for more powerful boosters, faster turnaround systems, and a launch cadence that actually starts to look like the future of spaceflight. The redesign is expected to support upcoming fully reusable architectures, larger tankers, and possibly human-rated launch systems as SpaceX eyes both Mars and commercial deployment. Out with the old. In with the interplanetary. Source: NSF - NASASpaceflight.com

Mario Nawfal

178,665 次观看 • 9 个月前