From known
to unknown

Manifesto

In the age of the recommendation algorithm, hand the compass back to the reader.

Over the past decade, "what to look at next" has increasingly been decided for us by recommendation algorithms. The longer we scroll, the more we get used to being fed — and the easier it becomes to forget the question we actually wanted to ask. Unknown Nodes is not another recommender. It is a tool that runs the other way: it puts the steering wheel — "where do I go next" — back in the reader's hands, and answers using the plainest material there is — hyperlinks that genuinely exist on Wikipedia.

The problem it solves

Unknown Nodes focuses on one very specific spot on the learning curve: from 0 to 0.5. This stretch isn't fully covered by beginner tutorials, and it isn't something a search engine settles with a single article — it's the process of "building a coordinate system inside an unfamiliar field."

Terms the author has been searching a lot lately include MCP RAG SaaS MaaS RaaS. Each new search is like lighting up one more star on an unfinished star map — and what Unknown Nodes sets out to do is weave those scattered dots into a visible constellation.

Why build this

① A term is the key into an unfamiliar field

"What is xxx?" is the standard opening move for making sense of an unfamiliar field. But search engines usually hand back isolated definition pages. Search enough, and you notice on your own: "Oh — RAG, LLMs, vector databases, and embeddings are all one cluster." That process of connecting dots into lines, and lines into a plane, is itself the joy of learning — yet no tool serves it directly today.

② The cognitive load of cross-field leaps

Leaping straight into an unfamiliar field triggers a flinch: too many terms, no idea where to start reading. But if you can begin from a concept the reader already knows and weave a path across, with every step resting on the familiar, the experience is entirely different. In cognitive psychology this is called scaffolding.

The familiar is a foundation. You can't learn suspended in mid-air, but you can lay bricks toward the unknown from one you already know.

What it is, roughly

An interactive web page. The reader enters two Wikipedia terms: a known term (input_01) and a term they want to explore (input_02). The system calls Wikipedia's real link graph, renders related terms around each, and the reader picks step by step, walking the path from input_01 to input_02 themselves.

The core promise

Every term is a node and connection that genuinely exists on Wikipedia — not something the AI conjured up. Each choice corresponds to a real internal link — meaning the path you walk is verifiable and keeps reading onward, rather than an explanation a model "rounded off" for you.

Four-step interaction

Who it's for, and when

Who

• The "amateur naturalist" who stays curious about unfamiliar fields
• Product managers, researchers, journalists, and designers who read across fields often
• People switching lanes who need to build a "map sense" of a new industry, fast

When

In the margins of the day — on the subway, over lunch, before sleep — you want to understand some unfamiliar term you keep bumping into, but you're not about to sit down with a whole intro book or a ten-thousand-word essay.

Without it, how do people cope today?

The three don't replace each other — LLMs are good at explaining, short videos at atmosphere, and what Unknown Nodes adds is something else: making "which term do I look at next" a deliberate choice by the reader again, rather than something pushed to them by someone else.

Value & meaning

The attention ledger of the algorithm age

As of March 2025, the three big short-video / content platforms are consuming users' time budgets at a staggering scale^[1]:

The recommendation algorithm brings platforms endless opportunity — while stripping users of their attention and their agency.

Unknown Nodes doesn't expect to fight that curve. But it wants to carve out, alongside the algorithmic feed, a small test plot where the reader picks their own road — retraining the awareness of "which direction do I actively explore next." That sliver of awareness may be the seed of resistance to being fed.

In one line

Unknown Nodes (织 · 点) = Wikipedia's real node network + the reader's curiosity + one visible compass.

At a glance