We’re excited to roll out our first update to Olvy since joining the Amoeboids family! 🥳 While this is just the beginning, we’re committed to making Olvy even better for you.

🔧 Bug Fix: API Key User Role Assignment

Previously, when creating an API key, the system wouldn’t assign a role to the newly created user (agent), limiting access to only fetch-type GraphQL APIs. We’ve fixed this! ✅ Now, API key users will be automatically assigned the “Builder” role, ensuring they have the right access fro

We built Olvy to be the next-generation AI-powered feedback and changelog management platform for Product Teams. Along the way, it has been incredible to grow alongside our users, helping teams worldwide streamline feedback, act on insights, and communicate changes effortlessly.

We’re excited to announce that Olvy has been acquired by Amoeboids, a leading developer of Atlassian Marketplace apps focused on enhancing workflows and productivity. From our first conversation with Anand, Amoeboids’ Fou

At Olvy, we believe in problem-solving and aim to help product builders keep creating magic.

Every day, we take a step towards building something that helps builders stay closer to their customers and after months of working on your valuable feedback, we are finally ready to reintroduce ourselves and prepare Olvy for the next generation of builders.

We are super excited to introduce Olvy 3.0 — is a game-changer designed to bring you closer to your customers, and speed up your feedback analysis pro

Managing large volumes of user feedback can become difficult and locating the right feedback when you need it can be daunting, but we are here to ensure that no user goes unheard!

In addition to unifying your user feedback and providing insights with Olvy AI Copilot, we are thrilled to share a feature announcement and enhancements to Olvy’s Feedback Feed.

Introducing, ✨ Ask Olvy — Search or ask Olvy a question about what your users think about your product areas, and it will highlight relevant fee

With Olvy AI Copilot, finding patterns in feedback relied on keyword extraction, feedback type, and other widgets, but these weren't enough to clearly identify patterns and lacked a broader picture.

Today, we have something massive to announce!

After successfully launching our brand new AI Copilot, we have introduced a new widget in it — Themes ✨

Themes in Olvy AI Copilot

Themes offer a comprehensive understanding of the diverse topics users discuss in their feedback. It intelligently groups sim

Ever find yourself drowning in a sea of feedback, struggling to navigate through the chaos and organize it for different teams or categorizing feedback based on your product's segments?

Imagine a world where all your customer feedback magically falls into the perfect categories, tailored to your company's context. Well, stop imagining because with Olvy AI, that magic is now a reality!

🚀 Introducing AI Autofills ✨ – a smart, flexible solution to create AI-powered Custom Properties for your

A couple of months back, we launched Generate Summary feature in our Olvy AI Copilot to help you summarize tons of user feedback in just one click so you don't have to go through each of them manually to make sense out of it.

As Olvy's summaries used to give you only the top 5 things your users request, you might miss out on a lot more things if you have thousands of feedback as the top 5 may not cover all the things you need to improve. So, to solve this problem and help you get more pre

Some questions require you to dig deeper into your user feedback - maybe you want to discover the sentiment about a feature in a particular timeframe. Getting to this data was difficult because of limitations in the types of filters we allowed you to add, we're changing that.

We're introducing the modern way of feedback filtration with Olvy's Conditional Filters ✨ that bring endless flexibility in filtering feedback along with customizability, letting you effortlessly navigate through

As businesses scale to enterprise levels, they often find themselves flooded with a huge volume of user feedback, making it really difficult to manage all the feedback, let alone real-time analysis and comprehension. All these enterprise companies need a way to convert that unstructured, mammoth level of qualitative data into well-enriched, meaningful, structured data.

Keeping that in mind, we introduced Olvy AI Copilot a few months back to help you analyze high volumes of feedback in real-time a

Capturing the true essence of user concerns with every issue is hard and with an increase in the number of feedback, we often miss out on crucial details and product teams often miss out on what users actually said

With Olvy, we helped you to attach relevant feedback to the issue but writing the issue description still remains an unsolved problem, you still had to write them on your own.

From today you can skip getting into "writing mode" every time (feel free to also close the ChatGPT tab