Kerns – A Continuous Research Workspace
Most research tools help you collect links. Kerns is built for ongoing research. You define topics and sources once. Kerns continuously tracks them over time, surfaces what changes, and structures the material so understanding compounds instead of resetting each session. The key difference is the interface layer. Beyond feeds and summaries, Kerns organizes research into reasoning-ready views—maps, structured summaries, and synthesized perspectives—so you can actually think through complex areas rather than just store information. We built this for people doing deep, long-running research…
What it does
In the maker’s words, at launch
Most research tools help you collect links. Kerns is built for ongoing research. You define topics and sources once. Kerns continuously tracks them over time, surfaces what changes, and structures the material so understanding compounds instead of resetting each session. The key difference is the interface layer. Beyond feeds and summaries, Kerns organizes research into reasoning-ready views—maps, structured summaries, and synthesized perspectives—so you can actually think through complex areas rather than just store information. We built this for people doing deep, long-running research (researchers, analysts, investors, founders, autodidacts) where the hard part isn’t finding sources, but keeping a coherent mental model as the space evolves. Would love feedback, especially from people who’ve tried to maintain research across weeks or months.
Does the same job
all alternatives →- KAKerns, an AI interface to understand anything, better than NotebookLMNov 2025 · kerns.ai · ▲7
I'm building out Kerns, as an AI environment for research. You can seed a space with a topic and multiple source documents, and complete your research completely in one space. There's interactive mindmaps for exploration, podcast mode, powerful source readers with original plus chapter level summaries that let you zoom into source on demand, a powerful chat agent that lets you control context and cite refs, and AI assisted note taking. My goal is to have one place to do research on any topic which minimizes manual context engineering, and jumping around between chat/notes/readers.…
Continuous Research Trends Report2022 · ▲130Discover data and insights from 600+ product professionals
More commerce this month
the category →
Compare your startup equity grant for free.
Commerce · 26d ago · equitybee.com
Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com
Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
