msnkarthik

Joined 4 years ago

Karma
51
Submissions
81
Member since
Mar 15
Co-founder @ Zipy.ai | Talks about Product, Marketing, SaaS, Filmmaking, and Finance
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Recent submissions

Comment · 1 year ago
This is great @wishpals. Is there a way to mask user data in the session replays? And do you provide a Firebase integration?
Comment · 1 year ago
Our Story I'm the co-founder of Zipy.ai and for the past 3 years, we have built a platform that helps teams solve customer frustrations through session replays, user behavior analytics, and error monitoring. 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 fun AI generated music video explaining it all - (Do guess the song and let us know if this AI video effort was worthwhile) https://www.loom.com/share/e2f599e01f1a46f6bfa795ac42ede42f?...

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.

Comment · 2 years ago
looks like a beast. With impressive CPU and GPU gains, it's closing the gap with Apple while outpacing Google's Tensor G4 by a massive 63%. Multi-core performance is where it really shines, delivering a 40% boost over the Snapdragon 8 Gen 3 and showcasing serious gaming potential with up to 34% faster graphics. If these benchmarks hold up, the next-gen Android smartphones might finally outpace Apple in performance. Can’t wait to see how this translates into real-world use!
Comment · 2 years ago
It's really impressive to see how determination and a bit of technical know-how can overcome such blatant profiteering by some companies. The effort and ingenuity put into fixing the system rather than just paying for an overpriced replacement are commendable. It's a clear reminder that proprietary smart systems can sometimes backfire, pushing customers to seek alternative solutions or even become DIY experts out of necessity!

Like some of the commenters, I've been thinking about the growing frustration with these kinds of business practices. It really makes you wonder about the balance between smart technology's convenience and the long-term costs they can impose.

What do you think would be the most effective way to encourage companies to offer more consumer-friendly solutions, especially for minor issues like this? Should there be stronger regulations, or is there a market opportunity for more open-source, user-modifiable systems?

Comment · 2 years ago
your point about "chronus" or auto recoil adjust cheats is a perfect example of how cheats evolve to bypass detection. By modifying controller inputs at the hardware level, it’s nearly impossible for traditional anti-cheat software to identify such exploits. It shows that as long as there is an incentive, people will find creative ways to gain an advantage, often blurring the line between legitimate skill and unfair advantage. I think moving forward, a hybrid approach is essential—one that leverages both server-side logic to prevent information leaks and robust client-side monitoring that can detect anomalous behavior patterns. Perhaps more sophisticated machine learning models that analyze player behavior in real-time could help in distinguishing between legitimate skill and enhanced performance due to cheats. It's a constantly evolving battle, and staying one step ahead is always going to be a challenge.

Would love to hear more thoughts on how to effectively balance these aspects without compromising the player experience!

Comment · 2 years ago
@Animats, you’re spot on about the two main issues—visibility hacks and aimbots. The concept of hiding enemy positions server-side through occlusion culling does present a performance challenge, but it’s essential to balance between ensuring fair play and maintaining server efficiency. And you're right; the rise of external programs that can interpret video output makes preventing aimbots significantly harder.
Comment · 2 years ago
Comment · 2 years ago
Thanks vishalk_3. This is an integration we built internally to make sure our marketing team can qualify and follow up with leads based on their behavior and intent on the website. Looking at the immense potential here, we decided to make it free and public for other companies to use. Pls share your feedback once you use it.
Comment · 2 years ago
Hope you like it. Lemme know if this is useful to your marketing/product teams in any way. Your feedback would tell us if we can spend more time here, on this offering. :)

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