Zipy Chrome Plugin to Record Sessions, Replay, Autofix Issues with GPT

Hacker News

I’m super stoked to announce the launch of Zipy Plug & Play, the on-demand Chrome extension of Zipy. Let me paint you a picture: A customer calls in with an issue, and you can hear the frustration in their voice. You spend hours trying to reproduce the issue, but it never happens. You forward the issue to your product team, but they can't understand the user behavior. And when you finally get it to your developers, they're scratching their heads trying to fix the bugs. Sounds familiar? We've been there, and that's why we created Zipy. And now with Zipy Plug & Play, you can easily record bugs in live customer environments and send them to your developers. Plus, with our ChatGPT integration, Zipy AutoFix can even suggest code changes to resolve the bugs. It's like having a superhero on your team, always ready to swoop in and save the day! Don't believe me? Give Zipy Plug & Play a try and see for yourself how it can help you sleep better at night, knowing that your bugs are taken care of. Zipy Chrome Extension: https://chrome.google.com/webstore/detail/zipy-plug-play/pbd... Zipy Website: https://www.zipy.ai/chrome-extension/plug-and-play?utm_mediu... Benefits of Zipy Plug & Play: Support can record bugs in live customer environment. QA can record and report bugs while testing. ▶ Growth and Product teams can track and replay user experience issues. Developers can AutoFix bugs within Zipy using AI. Overall, it can help save revenue, customers, and sleepless nights for your engineering, support and growth teams. The plugin itself is free to use any number of times, but if you want to upgrade and store more than 1000 sessions a month, here’s a special discount coupon for the HN Community: Use ‘ZIPYHUNTERS25’ to avail 25% off on all our Startup and Growth Plans. The Zipy team as a whole is certain that you will enjoy using the extension we have created. Looking forward to your feedback and support. Helping you fix what matters, Karthik and Team Zipy.

Visit product View on Hacker NewsApr 26, 2023

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, chatgpt · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month, google, way · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, calls · Missing: platform, intuitive, reviews

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, growth · Missing: arr, mrr, profit

29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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