PodSwap - Technical Infrastructure for Organic Instagram Engagement

Reference

Instagram growth glossary

Plain definitions for the terms PodSwap uses, each with the actual numbers behind it. Where the industry uses a word loosely, this says what it means here.

Engagement exchange

A reciprocal arrangement where creators give each other real engagement by hand, tracked with points rather than money.

Follower bracket

One of 17 audience-size bands PodSwap uses to decide which creators should exchange engagement with each other.

Match score

The weighted total PodSwap computes for every waiting queue to decide which post you are shown next.

Live Room

A time-boxed cohort that opens an exchange once enough creators are simultaneously checked in.

Point

PodSwap's unit of earned engagement credit. Never purchasable.

Health score

A 0–100 trust score, keyed to an Instagram account, that decides whether engagement confirms instantly or waits 24 hours.

Podscore

A 0–100 caption audit scored against a fixed five-part rubric.

Cross-exchange dedup

The rule that a post you have already engaged with is excluded from every other exchange, permanently.

Instant tier

The state of an account at health score 95 or above, where engagements confirm and points land immediately rather than being held for 24 hours.

Ghost queue

A seeded request for engagement used to keep an exchange from feeling empty, scored far below any real queue.

Shadowban

An unannounced reduction in a post's distribution. PodSwap estimates the risk from seven measurable signals rather than asserting it.

S4S

Shoutout for shoutout: two creators agree to promote each other, negotiated as a tracked order rather than a handshake.

For You feed eligibility

TikTok's published standard for whether a video may be recommended to people who do not already follow you.

Account restriction

TikTok's account-level counterpart to per-video ineligibility, in the platform's own wording.

Engagement-rate divergence

The comparison that distinguishes suppressed distribution from content that simply underperformed.

Topical matching

Matching creators by subject as well as audience size, so attention arrives from plausible viewers rather than from anyone available.

Audience embedding

The model a platform holds of who your content is for, assembled from who engages with it.