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ad-radar

pengchujin/ad-radar · Homepage

Browser extension that folds ads and topics on Chinese social feeds.

Automated README summary

Automatically summarized from the README on 14 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An open-source Chrome/Edge extension for Xiaohongshu, Weibo, X and Zhihu. It folds posts by local keyword or blogger matching, and with your own Jev API key labels or folds ads and chosen topics.

How it uses Jev

For each new post, the extension sends its text (title, body, author, tags, reposts, first 15 Xiaohongshu comments) to Jev via the user's own API key. Jev returns probabilities for ad type, selected topics, and AI-generated ratio; the extension uses these to label or fold the content.

Primitives:choicescore

Technique worth stealing

Local keyword filtering runs without any API key; Jev is only called for semantic matching and topic/ad classification, with local caching to avoid repeat calls.

Try it

Download the latest release zip, load the unpacked folder in chrome://extensions, then paste your Jev API key in the popup.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectnot found in the excerpt0.13
  • Shows a System One patternnot found in the excerpt0.11
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.99
  • Top-10 learning shortlist signalnot found in the excerpt0.26
  • Is a replica of the modelnot found in the excerpt0.02
  • Solves a common problem (0–2)score on a 0–2 scale1.06 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.13Shows a System One pattern0.11Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.99Top-10 learning shortlist signal0.26Is a replica of the model0.0200.51Solves a common problem (0–2)1.06 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.83Traffic light0.82Questionnaire0.70Viewfinder0.4500.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 14 Oct 2026.