GigaBrain is a good tool for finding relevant discussions on sites like Reddit. It uses large language models to digest billions of comments and offer human feedback without bots. You can ask questions, get answers with references, and even post questions to relevant subreddits. It's a fast way to get opinions and insights, and it's a good way to get a sense of what's real and what's not.
Another powerful option is ChainFuse, which is designed to harvest and analyze user feedback from a variety of sources like Discord, Discourse and Slack. It categorizes feedback into requests for features, bugs and other comments, and offers a view of what's most important so you can focus your work on what's most important to users. Its AI-based harvesting, tagging and trend visualization abilities mean you can make decisions based on a broad view of user sentiment.
If you want a centralized tool for customer feedback, Enterpret could be a good choice. It aggregates feedback from social media, sales calls, support requests and community forums through adaptive AI models. Features like a unified feedback taxonomy, semantic search and easy-to-use analytics mean businesses can get a better understanding of what's going on and streamline their customer feedback process. It's geared for product development teams and customer experience teams.
And Olvy offers a simple interface for harvesting and analyzing feedback from multiple sources like Slack, Discord and Twitter. It offers AI-generated summaries, thematic analysis and sentiment analysis to help you understand what customers are saying. Integrations with tools like ClickUp and Jira mean product teams can make data-driven decisions and build customer-centric products.