Most AI tools help you consume content faster. Gistr is where that knowledge actually lives

At this point, most people have a version of the same workflow. You come across something worth reading or watching, you drop it into an AI tool, get a quick summary, maybe ask a few questions — and move on.

It works. Until you need to go back.

Because two weeks later, when that information becomes relevant to something you're working on, it's gone. Not from your memory — from your workflow. The summary dissolved the moment you closed the tab. There's nothing saved, nothing connected, nothing you can build on.

That's the gap Gistr fills. Not the consuming part — the keeping and using part.

Gistr as a knowledge companion

Gistr is a workspace where everything you consume — videos, articles, PDFs, podcasts — comes in, gets processed, and stays organised and accessible.

Think of it less like an AI chat interface and more like a second brain that actually holds on to things. You don't just query it and move on. You build a library inside it, and everything in that library is linked back to its source, searchable, and usable whenever you need it.

The distinction matters: most AI tools are transactional. You ask, you get an answer, the context disappears. Gistr is persistent. What you add today is still there in three months, with full traceability back to the original source.

What you can bring in

YouTube videos: Drop in any YouTube link and Gistr gives you a structured breakdown — key ideas, main arguments, important timestamps — without sitting through the full runtime. You can ask specific questions about the video, pull out the part that's relevant to what you're working on, and save your highlights. The transcript stays linked, so you can always trace an insight back to the exact moment it was said.

PDFs and documents: Research papers, reports, books, course material — Gistr processes the full document and makes it queryable. Instead of skimming a 40-page PDF hoping you don't miss something, you get the key points surfaced fast, with source references intact. Useful for students and researchers who deal with dense material regularly.

Web articles: Save any article directly into Gistr and it gets processed the same way — structured, tagged, and searchable alongside everything else in your workspace. No more browser tabs you intended to return to.

Podcasts: Episodes you've been meaning to get through can be added to Gistr like any other source. The audio gets processed, key ideas extracted, and the content becomes part of your searchable knowledge base — without the full listen.

Markdown files: Many AI users export their research (from Perplexity, ChatGPT, Claude, etc.) as Markdown files. Gistr natively supports Markdown, allowing you to store and process these files in your workspace alongside other sources like YouTube videos and PDFs. Gistr offers a clean preview and raw view, making the Markdown content part of your multi-source workspace. This means you can query across all sources simultaneously, and Gistr will cite the origin of each answer segment.

Why the source link matters

A lot of AI tools will give you a clean summary, but you're trusting it blindly. Gistr keeps every insight connected to the original source. When you pull something out, you can see exactly where it came from — which matters the moment you need to cite something, share it, or verify it before acting on it.

Who gets the most out of it

Gistr makes the most sense if you're someone who consumes a lot of content as part of how you work or learn — and you want that content to accumulate into something usable over time, not just pass through.

Students working across multiple sources. Researchers pulling from papers, videos, and articles simultaneously. Knowledge workers who need to synthesise information from different formats and actually be able to use it later.

If that sounds like you, it's worth trying. Gistr has a free plan — gistr.so