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outlier-post-finder

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Outlier Post Finder

Outlier Post Finder

Overview

概述

Find social posts that beat an account's normal performance. The goal is not just to sort by views. The goal is to identify posts that performed unusually well for that creator or brand, then explain the repeatable patterns.
Use ScrapeCreators as the data layer. Pull recent public posts, normalize engagement metrics, calculate each account's baseline, and produce an outlier report with source URLs and practical takeaways.
查找表现优于账号常规水平的社交帖子。目标不只是按浏览量排序，而是识别对该创作者或品牌而言表现异常出色的帖子，然后总结可复制的模式。
使用ScrapeCreators作为数据层。拉取近期公开帖子，标准化互动指标，计算每个账号的基准值，并生成包含源URL和实用结论的异常表现报告。

When to Use

使用场景

Use this skill when the user asks to:
  • find outlier posts, viral posts, top posts, best reels, best shorts, best TikToks, or best tweets
  • analyze why a creator's content is working
  • find competitor posts worth copying or learning from
  • build a swipe file from high-performing social posts
  • compare performance across a creator's recent posts
Do not use this for raw endpoint lookup only. Use 
scrapecreators-api
for direct API routing.
当用户提出以下需求时使用该技能：
  • 查找异常表现帖子、爆款帖子、热门帖子、优质Reels、优质Shorts、优质TikTok或优质推文
  • 分析创作者内容成功的原因
  • 查找值得借鉴或模仿的竞品帖子
  • 从高表现社交帖子构建参考素材库
  • 对比创作者近期帖子的表现
请勿仅将其用于原始端点查询。直接API路由请使用
scrapecreators-api
。

Data Sources

数据源

Prefer the platform-specific feed endpoint, then enrich individual posts only when needed.
PlatformFeed endpointDetail/enrichment endpoint
TikTok
/v3/tiktok/profile/videos
/v2/tiktok/video
, 
/v1/tiktok/video/transcript
Instagram posts
/v2/instagram/user/posts
/v1/instagram/post
, 
/v2/instagram/media/transcript
Instagram reels
/v1/instagram/user/reels
/v1/instagram/post
, 
/v2/instagram/media/transcript
YouTube videos
/v1/youtube/channel-videos
/v1/youtube/video
, 
/v1/youtube/video/transcript
YouTube Shorts
/v1/youtube/channel/shorts
/v1/youtube/video
, 
/v1/youtube/video/transcript
Facebook
/v1/facebook/profile/posts
, 
/v1/facebook/profile/reels
/v1/facebook/post
, 
/v1/facebook/post/transcript
LinkedIn
/v1/linkedin/company/posts
/v1/linkedin/post
, 
/v1/linkedin/post/transcript
X/Twitter
/v1/twitter/user-tweets
/v1/twitter/tweet
, 
/v1/twitter/tweet/transcript
Threads
/v1/threads/user/posts
/v1/threads/post
Bluesky
/v1/bluesky/user/posts
/v1/bluesky/post
Before calling an endpoint, fetch its docs or per-endpoint OpenAPI spec if parameter names or response fields are uncertain.
优先使用平台专属的信息流端点，仅在需要时才补充单个帖子的详细信息。
平台信息流端点详情/补充端点
TikTok
/v3/tiktok/profile/videos
/v2/tiktok/video
, 
/v1/tiktok/video/transcript
Instagram 帖子
/v2/instagram/user/posts
/v1/instagram/post
, 
/v2/instagram/media/transcript
Instagram Reels
/v1/instagram/user/reels
/v1/instagram/post
, 
/v2/instagram/media/transcript
YouTube 视频
/v1/youtube/channel-videos
/v1/youtube/video
, 
/v1/youtube/video/transcript
YouTube Shorts
/v1/youtube/channel/shorts
/v1/youtube/video
, 
/v1/youtube/video/transcript
Facebook
/v1/facebook/profile/posts
, 
/v1/facebook/profile/reels
/v1/facebook/post
, 
/v1/facebook/post/transcript
LinkedIn
/v1/linkedin/company/posts
/v1/linkedin/post
, 
/v1/linkedin/post/transcript
X/Twitter
/v1/twitter/user-tweets
/v1/twitter/tweet
, 
/v1/twitter/tweet/transcript
Threads
/v1/threads/user/posts
/v1/threads/post
Bluesky
/v1/bluesky/user/posts
/v1/bluesky/post
调用端点前，如果不确定参数名称或响应字段，请获取该端点的文档或OpenAPI规范。

Workflow

工作流程

  1. Clarify scope only if needed
    • Platform(s)
    • Handles or URLs
    • Time/post count window
    • Whether to include transcript/comment analysis
  2. Fetch recent posts
    • Pull at least 20 posts when available. More is better for baseline confidence.
    • Paginate if the endpoint supports cursors and the user wants a larger window.
    • Keep source URLs for citations.
  3. Normalize metrics
    • Capture whatever exists: views, plays, likes, comments, shares, reposts, saves.
    • Build a combined engagement score only after preserving raw metrics.
    • For video-first platforms, views/play count is usually the primary metric.
    • For text-first platforms, likes + replies/comments + reposts/shares is usually better.
  4. Calculate the account baseline
    • Use median instead of mean so one viral post does not distort the baseline.
    • Calculate per-platform and per-account baselines separately.
    • If mixed formats exist, split by format when possible: reel vs carousel, short vs long video, text vs video.
  5. Score outliers
    • view_lift = post_views / median_views
    • engagement_lift = post_engagement / median_engagement
    • Label posts as:
      • Huge outlier: 5x+ baseline
      • Strong outlier: 2x-5x baseline
      • Mild outlier: 1.5x-2x baseline
    • If sample size is under 10 posts, call confidence low.
  6. Enrich the winners
    • Fetch post details for top outliers.
    • Fetch transcripts for video posts when useful.
    • Optionally fetch comments to understand audience reaction.
  7. Explain why they worked Look for:
    • hook style
    • topic/category
    • format
    • emotional trigger
    • novelty/timeliness
    • creator proof or authority
    • controversy or debate
    • comments showing confusion, desire, or buying intent
  1. 仅在必要时明确范围
    • 平台
    • 账号名或URL
    • 时间/帖子数量范围
    • 是否包含转录文本/评论分析
  2. 拉取近期帖子
    • 若可用，至少拉取20条帖子。数量越多，基准值的可信度越高。
    • 如果端点支持游标分页，且用户需要更大范围的数据，则进行分页拉取。
    • 保留源URL用于引用。
  3. 标准化指标
    • 记录所有可用指标：浏览量、播放量、点赞数、评论数、分享数、转发数、收藏数。
    • 仅在保留原始指标后，再构建综合互动得分。
    • 对于以视频为主的平台，浏览量/播放量通常是主要指标。
    • 对于以文本为主的平台，点赞数 + 回复/评论数 + 转发/分享数通常更合适。
  4. 计算账号基准值
    • 使用中位数而非平均值，避免单个爆款帖子扭曲基准值。
    • 分别计算各平台、各账号的基准值。
    • 如果存在混合格式，尽可能按格式拆分：Reels vs 轮播帖、Shorts vs 长视频、文本帖 vs 视频帖。
  5. 为异常表现内容打分
    • 浏览量提升倍数 = 帖子浏览量 / 中位数浏览量
    • 互动量提升倍数 = 帖子互动量 / 中位数互动量
    • 帖子分类：
      • 重大异常表现： 超过基准值5倍及以上
      • 显著异常表现： 基准值的2-5倍
      • 轻微异常表现： 基准值的1.5-2倍
    • 如果样本量少于10条帖子，标注可信度低。
  6. 补充优质内容的细节
    • 拉取顶级异常表现帖子的详情。
    • 必要时拉取视频帖子的转录文本。
    • 可选择性拉取评论以了解受众反应。
  7. 解释成功原因 关注以下维度：
    • 钩子风格
    • 主题/类别
    • 内容格式
    • 情感触发点
    • 新颖性/时效性
    • 创作者的可信度或权威性
    • 争议性或话题性
    • 评论中体现的困惑、渴望或购买意向

Output Format

输出格式

markdown
undefined
markdown
undefined

Outlier Posts Report: {creator_or_brand}

异常表现帖子报告: {creator_or_brand}

Summary

摘要

  • Sample: {n} posts from {platforms}
  • Window: {window}
  • Baseline: median {primary_metric} = {value}
  • Confidence: High/Medium/Low
  • 样本量: {n} 条帖子，来自 {platforms}
  • 时间范围: {window}
  • 基准值: 中位数 {primary_metric} = {value}
  • 可信度: 高/中/低

Biggest Outliers

顶级异常表现帖子

RankPostPlatformDatePrimary MetricLiftWhy it likely worked
1title/hookTikTok2026-01-011.2M views8.4xContrarian hook + clear before/after
排名帖子平台日期主要指标提升倍数成功原因分析
1标题/钩子TikTok2026-01-01120万次浏览8.4倍反向钩子 + 清晰的前后对比

Repeatable Patterns

可复制模式

  1. Pattern name — evidence and examples.
  2. Pattern name — evidence and examples.
  1. 模式名称 — 依据和示例。
  2. 模式名称 — 依据和示例。

Hooks to Steal

可借鉴的钩子

  • "Exact hook from caption or transcript"
  • "Exact hook from caption or transcript"
  • "来自标题或转录文本的精准钩子"
  • "来自标题或转录文本的精准钩子"

Content Ideas Based on the Outliers

基于异常表现内容的创意方向

  1. ...
  2. ...
  1. ...
  2. ...

Notes and Caveats

注意事项

  • Public data only.
  • Small samples are directional, not definitive.
undefined
  • 仅使用公开数据。
  • 小样本仅作趋势参考，不具决定性。
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Common Pitfalls

常见误区

  • Do not call the highest raw-view post the best outlier if a huge account is being compared with a small one. Use lift versus each account's own baseline.
  • Do not average TikTok, Instagram, YouTube, and LinkedIn metrics into one baseline. Score each platform separately.
  • Do not invent transcript quotes. Fetch transcripts or quote only visible captions/text.
  • Do not overstate confidence from fewer than 10 posts.
  • Do not ignore old viral posts if the user asked for recent performance. Respect the requested window.
  • 若对比的是大号和小号，请勿将原始浏览量最高的帖子视为最佳异常表现内容。应使用相对于各账号自身基准值的提升倍数。
  • 请勿将TikTok、Instagram、YouTube和LinkedIn的指标合并为一个基准值。需分别为每个平台打分。
  • 请勿编造转录文本内容。如需引用，请拉取转录文本或仅引用可见的标题/文本。
  • 样本量少于10条帖子时，请勿过度强调可信度。
  • 如果用户要求分析近期表现，请勿忽略旧的爆款帖子。需遵守用户指定的时间范围。