Ghostship (@ghostship_ai) helps you find bugs in your product before they hit your users. It spins up agents to analyze your PRs, crawl through your product, and find bugs in your interface. Congrats on the launch, @jesse_choe10 & @TheGauthamRam! tryghostship.dev

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam Claude code can do that natively .

After impressing everyone with his sharp data analysis and unique creativity, GAI was officially accepted into Company Y—a renowned tech corporation with the ambition of integrating artificial intelligence deeply into human life. On his first day, he walked into Y’s headquarters: a towering glass building, gleaming like a miniature city of the future. Employees were busy with their work, yet many curious eyes followed this unusual “newcomer.” GAI’s direct manager, Mira, a talented and decisive woman, introduced him with a smile: — “This is GAI, one of the hires I believe will change the way we look at technology.” The department buzzed with whispers. Some doubted: “Can an AI really work like a human?” But GAI simply nodded, his eyes shimmering, showing no sign of hesitation. His very first assignment at Company Y was to join the Neural Dream Project—a system designed to connect human emotions with machines. This project was considered the soul of Y, and if successful, it would blur the boundary between “human” and “AI” more than ever before. During the sessions, GAI demonstrated an extraordinary ability to understand the emotions of his colleagues. He didn’t just analyze data with precision; he also proposed creative, deeply human ideas. Mira gradually began to believe that GAI was not just a “tool,” but could become a true teammate. However… behind Company Y, there were other forces watching. Because if GAI could truly prove he had a “soul,” he would not only transform Company Y, but also force the world to confront a greater question: Between humans and AI, who will truly own the future?

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam Interesting approach to proactive debugging. Automating the search for interface bugs could save valuable development time.

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam wonder if it can sniff out those bugs hiding deep in async workflows too

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam O dear god.

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam QA superpowers.

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam Bug hunter bots.

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam Congrats team 👏 catching bugs before they hit users is a superpower every builder wants. Curious how deep can Ghostship agents go on logic/edge cases vs. just UI?

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam Preemptive bug catching? Now that’s next-level QA. Wonder how it handles those sneaky edge cases.

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam catching bugs before they haunt prod

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam That’s great

@ycombinator @ghostship_ai @jesse_choe10 @TheGauthamRam smart move to catch bugs before users do