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betterfeed

nadiaenh/betterfeed

Filter LinkedIn feed posts with TypeSafe Jev and Cloudflare Workers.

Content Moderation0.63Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 3 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

betterfeed is a Chrome extension that masks posts in your LinkedIn feed based on your preferences, using TypeSafe's Jev classifier running on Cloudflare Workers.

How it uses Jev

The README does not specify which decisions Jev makes, what state it receives, or how its output is used in code. It only states that Jev is used to filter out posts in your LinkedIn feed.

Try it

Clone the repo, load the folder as an unpacked extension in Chrome, and paste a Cloudflare API token in the config page.

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 projectFound in material0.86
  • Shows a System One patternnot found in the excerpt0.10
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalnot found in the excerpt0.16
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.94
Signals
Jev is core to the project0.86Shows a System One pattern0.10Describes handling uncertainty0.04Reports measured numbers0.04Is a runnable tool0.98Top-10 learning shortlist signal0.16Is a replica of the model0.0400.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns

No pattern scored above the reporting threshold.

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 3 Oct 2026.