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.

The history chart uses each week's published edition, up to 12 calendar weeks. A missing report or a topic below the cross-podcast threshold leaves a gap; it is not measured zero. Historical corrections use the latest published edition, without silently rerunning earlier analysis.

Why the chart may not add up to 100%

Only topics with sufficient evidence across podcasts and publishable source moments are shown. Smaller topics can remain outside the chart. Qualifying passages are counted once in the attention calculation.

A contributing podcast with no qualifying topic passages contributes zero to every topic. Because every contributing podcast has equal weight, even the full set of topic shares can sum to less than 100%.

“Outside this chart” is 100% minus the sum of the shown topics’ rounded shares for the latest report. It combines topics without published measurements and any podcast weight with no qualifying topic passages. Published reports do not separate these categories. It is not a measured topic or a percentage of listening time.

What counts as a comparison

A topic must have evidence across at least two podcasts to meet the cross-podcast threshold. The weekly report uses a trailing baseline of up to 12 comparable prior weeks; early reports disclose the smaller history available. The chart's 12-week display window is separate from that baseline.

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