opensource Source: Hacker News Dev
📅 29 October 2026 at 06:30 PM UTC

Show HN: Universal Blindspot Detector (AI meta-analysis)

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⚡ Executive Takeaways & Intelligence Summary
This is a rough "blindspot detector" for AI conversations. Basically, the tool reframes conversations and tries to find the smallest moves the user COULD have made to have surfaced unknown assumptions for whatever problem they were solving. The goal is to show the value of using AI as a reflective surface to search for "unknown unknowns" or "things YOU didn't know you needed to know". ------------------------- The basic premise is this: For any given AI conversation, the quality of the output (for the specified goal) depends on the context from which decisions can be made. You can learn to surface assumptions (the AI's AND your own) and get better output from informed decisions. Best of all, when operating in this way, you have to actively engage the problem and strategy to accomplish this

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