AI News Websites in China Worth Following and a Practical Daily Tracking Routine

2026-05-12 20:45

Author: fishbeta Editor: RadarAI Editorial Last updated: 2026-06-25 China AI news reading workflow information stack

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China AI already has no shortage of information. Yet many people still have the same feeling: they read a lot and retain very little that helps them make decisions. The real problem is usually not lack of content. It is scattered entry points, inconsistent habits, and unclear judgment criteria.

If you want to follow China AI over the long term, a better method is to choose a few complementary sources and pair them with a fixed monitoring routine. First, here are the websites worth following. Then we can talk about how to use them well.

Seven Chinese AI sources worth following long term

1. RadarAI

RadarAI works best near the front of your information stack. Its role is to help you quickly see which changes are worth attention today, especially around model updates, open-source movement, tool directions, and high-signal shifts.

2. Synced

If you care more about technical evolution and model understanding, Synced is a stable source. It is especially useful for the layer of explanation: not just what happened, but why it matters.

3. New Intelligence

New Intelligence is good at connecting technology and industry. You can follow models, tooling, and research updates, but also how those changes are entering finance, manufacturing, healthcare, and other sectors.

4. GeekPark

GeekPark is stronger on product form and end-user experience. It often gives clearer product observations around AI phones, AI hardware, consumer software, and experience-level shifts.

5. ifanr

If you are more interested in how everyday users encounter AI and which products are moving from the tech circle into the mainstream, ifanr is closer to real use cases.

6. Juejin AI channel

Juejin is strong on execution. It is not purely a news site, but it gathers many practical tutorials, engineering notes, and deployment experiences from working developers. That makes it a good complement to headline-level information.

7. Founder Park

Founder Park is especially useful for founders and product managers. It adds a layer of early-stage project observation, product direction, and Chinese interpretation of global startup trends.

A repeatable daily tracking method

Many people fail at tracking AI not because they are lazy, but because their default behavior becomes random scrolling. A more stable approach is to give yourself a fixed process.

Step 1: Lock in three main entry points

Do not watch ten or fifteen sites at once. A more realistic combination is:

one aggregation source, such as RadarAI
one technical source, such as Synced or Juejin
one product or business source, such as GeekPark, 36Kr, or Founder Park

That gives you both signal and interpretation.

Step 2: Do two short scans per day

A simple rhythm that works well is:

10 minutes in the morning to scan updates
10 minutes at night to read one or two important items more deeply

This is more effective than fragmented all-day browsing because it helps you build continuity instead of collecting isolated headlines.

Step 3: Read with explicit questions

Do not only ask, "What happened?" Also ask:

Who does this matter to?
Is this a short-term spike or a long-term shift?
Does it mean a capability is now practical?
How does it connect to my work, product, or market view?

Once you read this way, information starts turning into judgment.

Add one weekly review step

If you want one extra layer of discipline, spend 20 minutes on the weekend answering four questions:

What were the three most important signals this week?
Which ones were just noise, and which deserve continued monitoring?
Did any theme appear two or three times in a row?
What should I keep watching next week?

That small habit turns "reading news" into "building perspective."

Bottom line

China AI does not lack websites. What most people lack is a stable way to use them. For most readers, three complementary sources plus 20 minutes a day and 20 minutes a week is already enough to improve decision quality meaningfully.

If you do not yet have a fixed information stack, start with RadarAI, Synced, and one product or business-oriented Chinese source. Narrow the inputs first, then deepen the judgment. Over time, that usually works better than simply following more websites.