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Kevin William David

Olvy 3.0 - Speed up customer feedback analysis 10x with AI

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Introducing Olvy 3.0! Now with AI Auto-Listener to capture genuine feedback and AI Autofills for smart tagging. Use our Google Meet integration to extract insights effortlessly. Stay close to your customers with Olvy AI. Inspiring empathy, empowering you.

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Zenda
Really cool!🀩 When GPT just came out last year, our company was discussing internally whether we could give tens of thousands of user messages to GPT to let the AI screen which ones are useful product feedback and whether the user feedback is positive or negative. But at that time, GPT didn't have the ability to make very accurate judgments. Congrats to Olvy for achieving it and realizing the product I imagined! Keep going, I really look forward to you guys!
Chetna Rana
Maker
@zenda1122 Thanks a lot πŸ™Œ Glad you liked it. Your support means a lot πŸ™Œ
Sai K
Congratulation @iamarnob6543 and the team on the successful launch of Olvy 3.0. Keep going and all the best!!
Arnob Mukherjee
Maker
@sai_k9 Thanks a lot for the support πŸ™
jigyasa kodnani
This is truly a game changer for product teams, great work Olvy team would love to see you guys reaching heights β€οΈπŸš€
Rupak Mishra
Maker
@jigyasa_kodnani1 Thanks for the immense support! πŸš€πŸ”₯
Mingjie Liu
Congratulations on the launch of Olvy 3.0 on Product Hunt! The AI Auto-Listener and AI Autofills for smart tagging are game-changers for customer feedback analysis. The Google Meet integration is a brilliant addition for extracting insights effortlessly. Kudos to the Olvy team for empowering users with such innovative features.
Chetna Rana
Maker
Thanks @russell_liu17 🌟 Would love you to give it a try πŸ™Œ
Ivan Ralic
Great stuff, already 3.0 πŸ˜„πŸ’ͺ
Rupak Mishra
Maker
@ralic πŸš€πŸ”₯ Thanks for the Support!
Yanjun Lin
Congrats on the launch, Arnob! How does Olvy 3.0 ensure the accuracy and relevance of feedback transcriptions, especially in diverse and noisy environments like Google Meet sessions?
Nishant Arora
Maker
@ddwarfie Hi Yanni, we use advanced context aware language models that can detect what is not noise and what is noise while transcribing. It can even detect and remove filler words and sounds wherever found. We also have support for speaker identification, so you get to choose who are the people we should actually listen to for feedback. Though don’t take my word for it, give it a shot yourself at https://app.olvy.co/signup
Sankeerth Julapally
For the Ask Olvy feature, what has been the most challenging type of feedback or query it has successfully resolved?
Viraj Gorasia
Maker
@sankeerth_julapally Hey Sankeerth, Ask Olvy generates a reply based on the feedback you add to your workspace and provides you with filtered data and a meaningful summary for you to take actions faster. You can experience this yourself in our Demo Space. Eager to hear back from you πŸ™Œ
Huge
congratulate！ Filtering for valid evaluations is an interesting idea.
Chetna Rana
Maker
@hugec Thanks a lot! Do give it a try once!
Adhil sha
woohoooo !!! Finally its here... πŸš€πŸš€ super excited for the feedback β™₯️
Arnob Mukherjee
Maker
@adhil_sha lessss goooo bro πŸ™Œ
Shrey Gupta
I have personally used the Ask Olvy feature. Seems like an amazing integration. Would recommend Ovly to people looking forward to creating/using a feedback management system.
Chetna Rana
Maker
Thanks a lot, @itsshrey, for vouching for us! Hope you've a great time using Olvy. In case you need any help, feel free to reach out πŸ™Œ
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