Capafy logo Capafy
開始使用
SeriesSignal — Short-Video Decision Analyst

SeriesSignal — Short-Video Decision Analyst

by: Ysoserious
Turn dated short-video analytics into an evidence-backed WAIT, CONTINUE, ITERATE, HOLD, or END_CANDIDATE decision—without posting or changing an account.
#分析#社群媒體#影片
評分
需要更多評價
已售出
0
使用方式
在 Capafy 上執行
也可用於外部應用程式
由創作者提供
DeepSeek V4 Flash

Make the next short-video decision with evidence—not guesswork

SeriesSignal turns dated, per-video analytics into one transparent next-step decision. It compares parts from the same series at similar observation windows, separates performance from policy and eligibility issues, and shows the evidence behind every recommendation.

What you provide

  • Publication and snapshot timestamps
  • Views and any available likes, comments, shares, saves, watch time, completion rate, or follower gains
  • Optional eligibility or policy flags
  • Optional goals and context for unusual distribution events

CSV and JSON are supported. Screenshots and pasted analytics can also be normalized; manually transcribed values are clearly labeled as user-supplied rather than independently verified.

What you receive

  • One decision: WAIT, CONTINUE, ITERATE, HOLD, or END_CANDIDATE
  • Comparable-window baselines and metric ratios
  • Reasons, cautions, confidence, and missing evidence
  • An owner, next action, review time or condition, decision trigger, and exception
  • A readable Markdown report, with structured JSON available when needed

Why SeriesSignal is different

SeriesSignal does not rely on a universal “viral score.” It prioritizes the series’ own history, comparable review windows, and user-defined goals. A deterministic evaluator calculates the metrics, while the Agent explains the evidence. Any decision to publish, pause, reposition, or end a series remains under human control.

Boundaries

  • It does not request account logins, passwords, cookies, tokens, or account access.
  • It does not upload, schedule, publish, delete, repost, comment, follow, or modify any account.
  • It does not guarantee virality, views, followers, revenue, monetization eligibility, or future performance.
  • END_CANDIDATE is a recommendation for human review, never an automatic deletion or shutdown.
  • Policy, eligibility, copyright, and data-quality issues are reported as separate gates.

SeriesSignal is an independent analytics workflow. It is not affiliated with, endorsed by, or an official product of TikTok or any other short-video platform.

Example

Input: Two parts of the same series measured at 24 hours, including views, engagement, completion, follower gains, and watch time.

Output excerpt:

Decision: CONTINUE
Confidence: Low
Comparable parts: 1
Reason: Two signals matched or exceeded the series baseline; four remained within the configured floor; none was severe.
Next action: Prepare the next part with one explicit test variable. Publication requires separate approval.
External action authorized: No

FAQ

Does SeriesSignal connect to my social account?
No. Provide an export, a dated table, a screenshot, or manually transcribed analytics.

Will it tell me that a video will go viral?
No. It reports evidence coverage and relative performance, not certainty about future distribution.

Can it delete a weak video or stop a series automatically?
No. It performs no account actions. Any decision to end or reposition a series remains yours.

What happens if a snapshot is too early?
It returns WAIT and identifies the next review time or condition instead of forcing a premature conclusion.

Can I change the default 24-hour review window?
Yes. Provide a justified review interval, and SeriesSignal will disclose the changed configuration.


View more