Methodology
Signal Score
A directional score that summarizes how strong a content signal appears across available data. It works best as a comparison tool inside SignalMeaning, not as an absolute prediction.
Methodology
Use this page to understand how SignalMeaning measures content strength, crowding, timing pressure, and archived trend value.
SignalMeaning is a decision support tool for creators. Scores and timing windows are directional indicators, not guarantees.
Methodology
A directional score that summarizes how strong a content signal appears across available data. It works best as a comparison tool inside SignalMeaning, not as an absolute prediction.
Methodology
Shows how crowded a trend may be becoming. Higher saturation means creators may need a sharper angle or a narrower niche.
Methodology
Shows whether the useful posting window still looks open. It is meant to guide urgency, not guarantee performance.
Methodology
Describes the estimated period when a signal may still be timely for creators. Shorter windows usually mean faster decay.
Methodology
Estimates how risky it may be to publish late, follow an overcrowded topic, or cover a sensitive signal without enough care.
Methodology
Highlights what kind of creator angle may still be useful, such as explainers, reactions, breakdowns, local reporting, or niche follow-ups.
Methodology
The archive stores past signals so creators can study what faded, what lasted, and what may return.
Methodology
These archive filters help separate expired timing value, longer-running topics, and older ideas that may still become useful again.
FAQ
Signal Score works best as a directional comparison tool inside SignalMeaning. It helps rank signals, but it does not guarantee reach, rankings, or revenue.
Saturation Score shows how crowded a trend may be becoming. A higher score suggests that creators may need a more distinct angle.
No. SignalMeaning is a decision support tool. Trend windows can change quickly, and creators should use the site as one input in their own judgment.
Trends expire when attention fades, the posting window closes, or the topic becomes too crowded to offer broad timing value.
Archived signals are useful for studying timing patterns, repeatable topics, and older ideas that may still return in a new context.