Inferable lets you create conversational AI agents out of your internal systems with a few lines of code. Chat with your functions, APIs, and databases on Slack, E-mail or programmatically via APIs.
👋 Hi Product Hunt, I'm Nadeesha - one half of the team behind Inferable.
We’re building a platform that makes it easy for developers to build internal tools that are exposed as conversational agents using LLMs. Think of an AI agent that understands your internal systems, and help you do things that you’ve had to write a script for / build an internal tool for.
We’re putting a lot of emphasis on the existing codebases acting as deterministic guardrails. As a second line of defense, we also provide a few primitives to easily implement human in the loop, custom authn and authz.
Appreciate any and all feedback, thank you! 🙏
This reminds me of GitHub Copilot, but for internal systems.
Have you considered adding support for analyzing logs/metrics while chatting? Would be great for quick debugging sessions.
This is such a clever idea! The thought of being able to chat directly with functions and APIs through Slack or email is honestly super intriguing. It feels like it could save so much time navigating between systems—plus, having everything integrated into tools I already use sounds incredibly convenient
It’s quite amazing what you’ve built here! I set-up an AI agent in 10 min that could speak to my Production PostgreSQL database via Slack! It’s insanely powerful to plugin an AI agent securely into your new/existing API or DB! Well done Nadeesha and John 🎉🎉
About Inferable.ai on Product Hunt
“Conversational AI agents to replace internal tools”
Inferable.ai launched on Product Hunt on January 23rd, 2025 and earned 125 upvotes and 3 comments, placing #12 on the daily leaderboard. Inferable lets you create conversational AI agents out of your internal systems with a few lines of code. Chat with your functions, APIs, and databases on Slack, E-mail or programmatically via APIs.
Inferable.ai was featured in Developer Tools (511.7k followers), Artificial Intelligence (467.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 176.5k products, making this a competitive space to launch in.
Who hunted Inferable.ai?
Inferable.ai was hunted by Nadeesha Cabral. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Nadeesha Cabral