Subscribe
Sign in
Oopsie — Debug Flutter & React Native apps with AI & Session Replays
Oopsie by Zipy is the only AI-powered mobile debugging tool you need, offering ▶️ session replays, 🤖 error monitoring, 💡AI-summaries, and 🔥 Firebase Crashlytics integration. Debug smarter and resolve Flutter and React Native issues faster with Zipy.
253
Replies
@kevin @vishalini_paliwal1 congrats on launching Oopsie! 🎉 Is it like posthog for mobile, with AI session replays, error monitoring, and Firebase integration?
@tonyabracadabra thanks a lot. Yes absolutely, a one stop shop for mobile engineering, product and support teams.
@vishalini_paliwal1 great this is promising, I’m a web developer if I were developing a mobile app now I’ll def try it
@tonyabracadabra we also have the web version. Please feel free to try it out and share your feedback. Here is the link for our website - https://www.zipy.ai/
@kevin @vishalini_paliwal1 🎉 Congratulations on launching Oopsie, Vishalini! How does Oopsie handle tracking bugs or crashes that occur in the background or during rare edge cases? Are there any features to identify and prioritize those elusive, hard-to-reproduce errors that might not be caught during typical user sessions?
Flutter ecosystem required these kind of tools. Doc's look clean and exciting, waiting for community review before using this.
@piyush_jaiswal3 absolutely, we do need such tools. You could try out the free version for yourself and would love to get your feedback.
@piyush_jaiswal3 Lovely hearing this from you. A lot of devs we spoke to complained that simply using tools like Firebase to catch crashes and ANRs isnt sufficient in this day and age. A lot of time is wasted to figure out what users do when they face issues on apps. Hence this new exciting offering from Zipy. Pls try it out and let us know your opinion.
@piyush_jaiswal3 Totally agree, with more and more apps being launched and these frameworks easing out the development effort, it is important to have more insights, user impact and details at the lower level on failures to help with debugging.
@sentry_co thats a great question and extremely important for us to take care of the user's PII data. We do handle it very proactively for both mobile and web. Here is how we do it on mobile - https://docs.zipy.ai/zipy-for-re... and here is how we do it on web - https://docs.zipy.ai/getting-sta.... We do some default masking and we also allow our customers to mask any additional data they don't want Zipy to read.
@vishalini_paliwal1 Awesome. I would highlight that as one of the core features. As a potential customer. I have to know that im not doing anything illegal with user data which could have serious legal consequences down the line. Security is nr1 feature when it comes to tracking / error / crash observability IMO.
@sentry_co Absolutely agree and yes we should highlight this as core. We do take utmost care of security and performance both for our customers. We also have extensive documentation around how we deal with security and we are SOC2 Type 2 compliant.
@sentry_co We have masking enabled Andre. Would love to discuss more about this on a call with you. Or as Vishalini mentioned, you can checkout our documentation which covers all this info.
@vishalini_paliwal1 @sentry_co Yes Andre. We are SOC2 and GDPR compliant too.
Congrats on the launch @kevin @msnkarthik @vishalini_paliwal1 @anchal_r.
How does AI figure out which errors are most impactful for users? Does it learn from patterns or user feedbacks?
Love the teaser video, btw.
@kevin @vishalini_paliwal1 @anchal_r @ashitvora Thank you so much Ashit. Glad you like the video. Our AI engine can watch user sessions and finds out error scenarios or usability issues users are facing in their sessions. It then highlights these as 'Oopsie Bugs' and also provides session summaries, repro steps and AI fix recommendations in code.
@ashitvora , we have build our own AI Agent to detect this user impact. It works on multiple data points that we capture to conclude which parts of the user experience was hit by a real user impacting error and which errors didn't cause any disruption in the UI. This is not based on user feedback, we have implemented the whole algorithm in house and is based on some opensource AI models.
Amazing to see a product solve this painful point for Flutter apps, with a Firebase integration! Will give this a spin!
@thesaaspm thanks. We too believe Firebase integration will be a game changer. Please do share your feedback.
Hey Vishalini and Karthik, I just checked out 'Oopsie' and it looks incredibly promising! The concept is really interesting, and I'm definitely looking forward to using it in the future. Great work, guys!
@deepak_meena Thank you so much! We would love to hear your thoughts about your experience with Zipy!
Solving troubleshooting and bug fixing smartly. I really like it! Is Oopsie for other apps or stuff on the horizon? Or do you have similar things under a different name there already?
@michacassola - We do support all web based javascript applications, PHP, and mobile iOS and Android on ReactNative and Flutter - soon coming up with Kotlin as well.
@michacassola thanks. This is a new AI powered mobile SDK launch. We have a web SDK which is also AI powered and you can capture sessions, errors, performance issues, product analytics and more for any JS stack ( angular, vuejs, react, svelte etc). Please feel free to check out all our features here - https://www.zipy.ai/
Looks very interesting. As a long time customer of Zipy can’t wait to get our hands on this and try it out.
@vengat_klenty thanks a lot for being a constant support and our valued design partner. Looking forward for your team to try this out and share the feedback.
@vengat_klenty Thank you so much for your kind words and for supporting us from the beginning! Would love to get your feedback on this one as well!
@vengat_klenty Thank you Vengat. You have been an early adopter and your support means a lot.
Hey Vishalini! It sounds really cool, cause detecting bugs can be a huge challenge for many founders who try to ship fast in order to validate some idea. Happy to see you helping on that and wish you all the best!
I've always admired the work of the Zipy team and their past accomplishments. I have no doubt that they will replicate and even surpass their previous success with their new app, Oopsie. Debugging mobile apps can be a significant challenge, but Oopsie will provide product and development teams with critical insights into their apps, making the process much more manageable.
@br_doma Thank you so much for such encouraging words and for always supporting us. It has been wonderful working with you and your team and with constant feedback, we are glad that we are able to add value. The intent is always to ease out the processes and help tech teams solve for issues faster, even with this launch.
@br_doma Wonderful to hear these words from you Burak. You have been a great early adopter of Zipy and have shaped the product in a way. Would love to see your team use the mobile SDK too in your future releases and share feedback with us. :) Thanks for such a great review.
Congrats on the product launch. A mature debugging tool for mobile apps was really need of an hour. Kudos to Zipy team!
@pratik_patwari1 thank you. Please do try and give us feedback on how to improve the product.
It’s going to save hours in debugging time for sure. Would love to know a couple of things.
1) How does data retention work?
2) How long does it take for a session to reflect on the dashboard?
3) Is there any guide around integration?
@amey_sadar please find my answers below
1) Default data retention is 15 days but one case buy an Add On data retention
2) Its a matter of second, almost real time for a session to show up in dashboard
3) Yes there is a dedicated resource page in Zipy around integration - https://docs.zipy.ai/integration/
Please let us know if you ar elooking for any specific integrations,
@amey_sadar Yes Amey.. for sure.
1) The data retention period is customizable based on plans. We give 15 day data retention in the free plan and 1 month on basic paid plans, which can be extended.
2) Sessions reflect within a minute of capture. So it's almost realtime.
3) You can find the integrations here: https://docs.zipy.ai/zipy-for-fl...
@amey_sadar Thank you! Yes, this should definitely save a lot of dev time spent on debugging and solving issues. Hope you have got required answers from @vishalini_paliwal1 and @msnkarthik. Please do try it out and provide us feedback.
Oopsie is a great product for devs who wants to be ahead on quality and responsiveness.
Many congratulations team! Really good product! Have been using Zipy for more than 2 weeks and its been a life saver. Our FE dev is fully hooked on to Zipy and there's no going back!
@connect_mani Thank you so much for being an early adopter for the product. It's been great to work with you and your team.
@connect_mani thanks a lot, great to hear that you dev team loves Zipy :)
🙌 Our OOPSIE journey has just begun! Huge thanks to @kevin for hunting OOPSIE, @rohanrecommends for guiding us, @msnkarthik , @anchal_r, Zipy Team, PH community, startup founders, engineers, and everyone who supported us on PH and shared their valuable comments and feedback. It has been one adventurous day for team Zipy after months of efforts of building AI Mobile Debugging. We are very excited to start on a high note 🚀.
Feel free to Book a Demo - https://calendly.com/d/cqnr-9yh-...
OR
Dive straight into OOPSIE with a FREE Signup - https://www.zipy.ai/for-mobile?u...
As a founder, would love to get constant feedback from the product community on what we have built and continuously improve it.
Cheers!
Hey Product Hunters! 👋
First off, a huge thanks to @kevin for hunting us, @rohanrecommends for guidance, PH community and PH team who make this platform amazing. 🎯 Do checkout the fun product explainer we made above.
👤 Our Story
2.5 years ago, when we launched the first version of Zipy, you showed us immense love and made it the #1 Product of the day. Back then we were a web debugging tool helping developers solve customer problems with session replay.
Today, I'm proud to announce the launch of our mobile support for Flutter and React Native, both on iOS and Android. Java/Kotlin is soon to follow.
💡 The Problem
In this journey over the last few years, we have interacted with hundreds of mobile developers and many mobile founders, who were solely depending on Firebase to catch their crashes, but there was one unsolved problem - they weren't able to understand the user side of the story which caused these crashes, ANRs or freezes. The major ask each of them had was the ability to magically replay user actions on their mobile app.
With this launch, you'd not only be able to do that, but also catch and prioritize their problems with our AI-powered "Oopsie bugs".
🚀 The Solution
Debug mobile app issues instantly with AI bug detection. Supercharge your Flutter and React Native debugging with AI-powered mobile session replays: https://www.zipy.ai/for-mobile
▶️ Replay mobile user sessions in real-time
🤖 Detect UI errors with "Oopsie Bugs"
💡 AI-generated summaries & repro steps
📲 Catch ANRs, crashes with logs & traces
🔥 Firebase Crashlytics Integration
🎯 Product Walkthrough
Here's a detailed walkthrough of the offerings: https://www.youtube.com/playlist...
Let me know what you think in the comments! 💬 Looking forward to your feedback and support.
Fix what matters,
Karthik and Team Zipy.
P.S: We are offering a 1 month full feature free access + a special 20% discount post that for PH Community with the code 'OOPSIEPH20' - Contact our support to set this up for you.
@kevin @rohanrecommends @msnkarthik @vishalini_paliwal1 great product & video. Congrats on the launch, best wishes 🙌🏻
@kevin @rohanrecommends @msnkarthik Congrats on the launch Karthik. This is lovely. What do you offer as part of the Firebase integration?
@kevin @rohanrecommends @parth_depura Thanks Parth. As part of Firebase Integration, you would be able to send Zipy user session links into Crashlytics. So for every crash there, you will be able to directly replay Zipy sessions and check user actions.
Zipy