Olvy

Congrats Team for such an incredible work and effort !🚀🔥

@mshra_ji 🚀♥️

@iamarnob6543 Congratulations on the launch!

@iamarnob6543 Hi Arnob and the Olvy Team, Just saw Olvy 3.0 on Product Hunt and the focus on AI-powered customer feedback analysis is very interesting! The new features like AI Auto Listener and Ask Olvy sound like valuable tools for product teams to gain deeper insights from user feedback. A couple of questions sparked my curiosity: - Does Olvy 3.0 offer customization options for AI Autofills and Ask Olvy to tailor them to specific product areas or user feedback types? Are there plans to integrate with additional feedback platforms beyond Google Meet? - Does Olvy 3.0 offer any features for advanced analytics or reporting beyond theme discovery? For example, sentiment analysis or user segmentation based on feedback. My background in AI development might be valuable for Olvy's development in areas like: - Exploring ways to further refine AI Autofills, Ask Olvy responses, and theme discovery for even more accurate and insightful customer feedback analysis. - Developing functionalities for users to customize AI features and integrate Olvy with a wider range of feedback platforms. - Implementing features for in-depth feedback analysis, such as sentiment analysis, user segmentation, and customizable dashboards for visualizing key insights. I'd love to learn more about Olvy's roadmap and explore how my skills can contribute to making it the go-to platform for AI-powered customer feedback analysis. Thanks for launching such a cool tool! Best regards, Max

@iamarnob6543 this is great, thank you for working on this! Everything I see listed here is something that is beneficial to all startups, and companies, especially its operators. I really hope people see this for what it is, an amazing tool, to help speed up the customer feedback loop, so that you can iterate and ship faster! Very well done!

@memphys_sk Hey Stefans, after your meeting gets added to Olvy via the google meet integration, Olvy AI generates a transcript from the added video call and once you share your user details from the meeting, Olvy AI start to analysis the transcript and extract relevant feedback out of the call in just a few seconds! You can also manually collect feedback from the call if you feel so. Olvy makes this process very effortless saving you hours of manual analysis. Do give it a try, eager to hear back from you 🙌

Hey @anastasiia_stepko, thanks for your comment about the Auto Listener. We have a model that understands what constitutes feedback and what does not. Using this model, Olvy will transcribe your call from the video, and from that transcription, we will identify the feedback shared by the user. This way, you won't have to manually sift through the call feedback!

@iamarnob6543 Got it!

@anastasiia_stepko Do try us out, it's completely free to get started 🙌

@iamarnob6543 Yeah, that makes sense! It's just there are so many products I want to try, it gets difficult to try all of them.

@virajux woah, that's cool. Thank you so much for your insights. I will try that out for sure!

@sgroiga Olvy has various integrations that you can setup to pull feedback from different sources like slack , intercom, discord etc. We also do on demand native integrations for enterprise customers . Olvy is present wherever your customers want to leave feedback for you ! If you specifically want to give us feedback related to Olvy , you can use the chat option on olvy.co and we will get right back to you

@abhay_jani Thanks for the support and kind words🚀

@abhay_jani Thank you so much Abhay 🙌

@abhay_jani Thanks Abhay for the support.

@saurabh_khante 🔥 Thanks for the support🚀

@saurabh_khante Thanks man for the support