Reading Vaibe

What the weekly report shows.

Vaibe follows public conversations from AI-focused podcasts to show which topics received attention, what changed from earlier weeks, and the moments behind each finding.

What the numbers mean

Attention is not agreement

The report shows: how much of the relevant weekly conversation focused on each topic.
It does not show: whether hosts agreed, how large an audience was, or what the whole AI industry believes.
You can verify it: open any topic to see its quoted moments, timestamps, podcasts, and source episodes.

01 · Coverage

A defined weekly listening list

The currently tracked count is Vaibe's full roster of AI-focused podcasts. A show becomes a weekly contributor only when it released an episode that was analyzed during the selected week. Each report states the number of episodes analyzed and how many weekly releases were available.

02 · Comparison

The week and the longer view

Weekly reports show what occupied the current conversation. Across Weeks shows which topics kept returning, gathered attention, or faded as the published history grew.

03 · Evidence

Findings stay connected to their sources

Topic pages show a smaller cited set for inspection while clearly separating it from the broader analysis. Source links let readers hear the original context for themselves.

Built to compound

Each report makes the history more useful.

Vaibe becomes more valuable as weeks accumulate: recurring topics become easier to distinguish from one-week spikes, and readers can always return to the podcast moments behind the pattern.

Read the latest weekly report