77 Interest Score
30 Discussions
0.39 Engagement
Nov 2025 Launched

Refinder turns chat into action. Ask in Google Chat (Slack coming soon) and it checks calendars, books meetings, updates Jira tasks, and organizes data in Sheets in seconds through simple conversation. After a quick login-level setup, Refinder runs smoothly without complex settings. Just talk and it executes your workflow, from scheduling and reporting to summarizing data, while keeping everything in sync. It’s the fastest way to turn everyday chat into real work.

What the Community Said

👋 Hi Product Hunt, I’m from the Refinder team. Automation and AI agents are everywhere, but most of them are still hard to use in real workflows. Teams face security rules, integration barriers, and endless setup steps just to make automation work. Even with all these tools, connecting them and keeping them running smoothly often takes more effort than it saves. We built Refinder Agent to solve this problem with a 𝗰𝗵𝗮𝘁-𝗯𝗮𝘀𝗲𝗱 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝘁 𝘁𝗿𝘂𝗹𝘆 𝗳𝗶𝘁𝘀 𝗶𝗻𝘁𝗼 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘄𝗼𝗿𝗸. Refinder automates dai

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Super useful. This could solve so much context switching. Does it support custom commands too?

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I’ve tried Refinder AI Agent and it works surprisingly well! Which tools does it currently integrate with, and are more integrations planned?

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Love this direction. Automation tools often overcomplicate what should be simple. A chat-based agent that actually fits into existing workflows sounds like the right balance between power and usability. Excited to see how Refinder streamlines real work for teams!

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Congrats on the launch! It’s definitely something I’ve been looking for will try it out!

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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