// Authorized user case

Find popular X discussions on DeepSeek hardness

A Social Signal Retrieval run that aggregated X, Xiaohongshu and Zhihu signals around the newly released DeepSeek Harness, and turned them into a priority-ranked posting plan with risk boundaries.

Executed
Tools used
$research-social-signals

Context

DeepSeek Harness (DSH) was released on August 13 as an MIT-licensed, Cordis-style "everything is a plugin" project. The user runs content operations and needed a factual map of what people are actually discussing before planning any marketing content, instead of guessing topics.

Research goal

Find popular X discussions about DeepSeek hardness and turn them into immediately executable, priority-ranked marketing posts with clear risk boundaries.

// Prompt

Original prompt

@skill:Social Signal Retrieval What are the popular discussions about DeepSeek hardness on X recently? Provide me with marketing ideas

// Process

What happened

  1. 01

    Retrieve conversations across platforms

    Used Social Signal Retrieval to fetch recent public discussions about DeepSeek hardness, aggregating signals across X, Xiaohongshu and Zhihu.

  2. 02

    Spot validated content angles

    Mapped proven directions - the "blue whale turns black" logo fan-art, a long-form tutorial, and a contested benchmark post - together with the creators who own them.

  3. 03

    Mark risk zones

    Flagged negative hotspots such as the pricing narrative and persona memes as boundaries to avoid, keeping the recommendations defensible.

  4. 04

    Rank and schedule

    Ranked the plan by effort-to-impact ratio into P0-P3, and attached a posting schedule plus a pre-publish data verification list.

// Evidence

Posting plan card for DeepSeek hardness: P0-P3 priority ranking with a posting schedule and red lines
August 14, 2026The priority-ranked posting card produced by the run (P0-P3, schedule and risk red lines).

// Result

What the run showed

  • P0 - Post today: Xiaohongshu "black whale" logo fan-art, a blue-ocean angle with proven traffic and only one creator currently in the space.
  • P1 - Zhihu hot-list answer that avoids the pricing narrative, plus tutorial differentiation: video, desktop-packaging, and bookmark-friendly step-by-step formats.
  • P2 - A neutral, reproducible DSH + V4 Flash benchmark instead of a "crushes Fable" take, plus a one-image "everything is a plugin" architecture infographic.
  • P3 - English asset accumulation on X: submit a plugin to the awesome-dsh-plugin directory and add value in reply threads of large accounts.
  • Three red lines: avoid pricing topics, keep persona memes at a distance, and re-verify star and plugin counts against the official repo before publishing.

Tools used

$research-social-signals