Hey Product Hunt 👋 I'm Mayank, the builder behind Highlyt. The frustrating moment that started this: I had 200-300 highlights spread across Readwise, Kindle, and PDFs, completely useless. Every tool I tried had solved capture beautifully. None had solved connection. When I tried to write or think deeply on a topic, I couldn't see how my reading from one book touched what I'd highlighted in a paper three months ago. The insight existed. I just couldn't find it. Highlyt's core thesis: capture without judgment is just noise. When you highlight something, you have a split second of clarity, you know what kind of idea this is. That judgment is what Highlyt forces you to record. What makes it different: — Semantic highlight types: core idea, disagreement, open question, action item — Typed cross-document links: supports, contradicts, expands, questions — AI auto-suggests connections between your highlights, you confirm or reject. Graph density grows without removing your judgment from the loop. — MCP server that plug your reading graph directly into Claude or ChatGPT Live on web, and Chrome extension. If you're a researcher, a heavy reader, or someone building with AI, I'd genuinely love to know where your current reading workflow breaks down. What's the moment the tool fails you?

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8h ago

How are you connecting ideas across books and papers today?

I've been deep in this problem for the past year. I'd highlight a paper, then months later highlight a book that directly contradicted it, and have zero way to surface that connection.

That's why I built Highlyt. But I'm curious: what does your reading-to-thinking workflow actually look like right now?

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Highlyt

You highlight. You forget. Highlyt connects the dots.

You highlight. You forget. Highlyt connects the dots.

Forum Threads

How are you connecting ideas across books and papers today?

Forum Threads

How are you connecting ideas across books and papers today?