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Keepsake Project Management, Freelancers, DesignersAn AI knowledge hub that connects your team's tools and makes company knowledge instantly
Talk to Noumanhttps://knowwhyy.com/ or hello@knowwhyy.com
Reach out if you want to build it, build it together, or just ask what they had in mind.
01 The idea
Teams spread their knowledge across GitHub, Slack, Notion, and other tools. Finding a specific decision, understanding past discussions, tracking code changes, or figuring out who worked on something often means searching through multiple platforms and asking different people.
KnowWhyy is an AI-powered knowledge platform that brings this information together in one place.
Teams can connect their existing tools, ask questions in natural language, and get contextual answers based on their actual company knowledge.
For example:
What code changes were made in the last two weeks, and who made them?
What did the product manager say about this feature in the meeting?
Why was a particular technical decision made?
What discussions or updates happened around a specific task?
The goal is to give every team a single point of communication with its collective knowledge, reducing time spent searching, switching between tools, and repeatedly asking colleagues for information.
The hard part is reliably connecting fragmented data sources, understanding context across different platforms, and delivering accurate, relevant answers with minimal effort.
We're starting with GitHub, Slack, and Notion, with plans to expand integrations as the platform grows.
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Build an AI knowledge hub that connects your team's tools and makes company knowledge instantly. Context: Teams spread their knowledge across GitHub, Slack, Notion, and other tools. Finding a specific decision, understanding past discussions, tracking code changes, or figuring out who worked on something often means searching through multiple platforms and asking different people. KnowWhyy is an AI-powered knowledge platform that brings this information together in one place. Teams can connect their existing tools, ask questions in natural language, and get contextual answers based on their actual company knowledge. For example: What code changes were made in the last two weeks, and who made them? What did the product manager say about this feature in the meeting? Why was a particular technical decision made? What discussions or updates happened around a specific task? The goal is to give every team a single point of communication with its collective knowledge, reducing time spent searching, switching between tools, and repeatedly asking colleagues for information. The hard part is reliably connecting fragmented data sources, understanding context across different platforms, and delivering accurate, relevant answers with minimal effort. We're starting with GitHub, Slack, and Notion, with plans to expand integrations as the platform grows. Requirements: - Ship the smallest version that delivers the core value above, nothing more. - Pick a stack you can deploy in a day, and state the choice before writing code. - Handle the empty state, the error state and the offline case explicitly. - Pricing to build toward: Freemium model with paid subscription plans based on team size, connected integrations, and usage. Start by listing the screens, then build them one at a time.