What we measure, and what we cannot

The corpus

Aggregate figures come from public Instagram data for accounts connected to PodSwap, read from public profiles only. There is no access to Instagram Insights, so reach and impressions are never reported — only engagement that is publicly countable.

Exclusions

• Accounts under 100 followers are excluded from bracket statistics — engagement rates at that size are too volatile to average meaningfully.
• Engagement rates above 50% are capped at 50% and labelled as capped, rather than dropped or silently rewritten. Niche leaders are capped at 75%.
• Where a monthly report omits a metric entirely, that section renders nothing. We do not substitute an estimate.

What we cannot verify

Instagram exposes no third-party signal for saves, shares to story, or story views. Those three exchanges are self-reported by the person performing them. We do not describe them as verified anywhere, and the health score and dispute pipeline exist precisely because they cannot be.

Comments and follows leave a public trace and can be checked.

Shadowban scanning

Instagram does not publish a shadowban status, so no tool can confirm one. Our scan is an inference from seven measurable signals in your own account history, and it reports a risk band rather than a verdict.

Availability

Exchanges open on a headcount rather than running continuously — see Live Rooms. Copy describing the exchange describes how it is designed to work, which is not the same as a promise that a given room is open at the moment you read it.

Pro and Max tiers appear in the product's data model but there is no billing integration. They are waitlist-only, and nothing on this site is for sale.

Corrections

If a figure here is wrong, we would rather know. The constants behind the matching engine, the Live Room thresholds and the Podscore rubric are all published on the features pages so they can be checked against what the product actually does.