Grunt is Open AI's GPT-4 trained on history from your selected Slack channels so that it can help assist in all sorts of tasks from #onboarding to remembering #sev timelines, being served for only 5 cents a message.
GPT-4 Slack bot trained on your Slack's public history
Grunt is Open AI's GPT-4 trained on history from your selected Slack channels so that it can help assist in all sorts of tasks from #onboarding to remembering #sev timelines, being served for only 5 cents a message.
👋 Hey Product Hunt! Today I’m excited to show you Grunt, a Slack bot that is powered by GPT-4. The reason I built Grunt is so employees can more easily use the tribal knowledge of a company that exists inside Slack. How many times have you had to search through pages of Slack data, trying to find out why your VPN wasn’t working? Or how many times have you known that something was spoken about but you can’t find it? Grunt is perfect for fielding questions like these. Grunt has context across
Grunt sounds like an incredibly useful tool for improving productivity within Slack. I can definitely relate to the struggle of sifting through tons of Slack data to find specific information. The fact that Grunt retains context across channels is a game-changer, ensuring that nothing slips through the cracks. I'm curious to know more about how Grunt leverages GPT-4. How does it handle the training process and ensure that it stays up to date with the latest information? Overall, I think Grunt ha
Congrats on the launch. Looks promising. ♥️🦄
Congratulation on the successful launch of Grunt on Product Hunt! I can't wait to try and provide you my feedback!
Looks incredible, congrats on the launch!
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.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
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.