A booking memo for the pitch
One page an agent or manager can forward: who the fans overlap with, and the cities where the pairing adds the most.

Swami ranks support acts by the fans they add in your city, then plans the local push that sells the room.
Most rooms below arena size end the night with empty seats. The three calls that could fill them still run on habit and a phone list.
Support comes off the agency roster on gut feel. Nobody checks whether those fans would have bought a ticket anyway.
Local spend lands on the same broad neighbourhoods every time, including the ones the headliner already owns.
The bars, restaurants and record shops that share the crowd stay unasked, and the flyers go to the usual spots.
Tickets per Promo Link
Swami maps where each act's fans live, neighbourhood by neighbourhood. The opener worth booking is strong exactly where the headliner runs cold.
The agent reads your request and proposes candidates. Plain, tested code computes every score.
Illustrative data. In the product every number is audience affinity from the Qloo taste graph, and it is labelled that way.
Agencies package support, headliners approve openers, and relationships close the slot. Swami fits into each of those steps.
One page an agent or manager can forward: who the fans overlap with, and the cities where the pairing adds the most.
Paste the agency's list. Roster, dates and budget act as hard filters, and the ranking runs per leg so support can rotate by region.
Start from your artist and find headliners whose fans would like you, in cities where you are small today.
Paid plans are coming soon. Until then every feature is open: sign up and book your next show.
For a one-off date or a first try.
Soonpricing after the beta
For promoters and venues running a calendar.
Soonpricing after the beta
For groups with many rooms and their own ticketing.
Soonpricing after the beta
Local openers on each date are picked by the promoter or talent buyer, and the headliner team approves. That call happens on every date of every tour, and it is the one Swami ranks first. When support is packaged, roster mode ranks inside the agency's list per leg, and the booking memo gives whoever pitches the act evidence to carry the conversation.
The score measures audience affinity: how much one act's fans like another, and where those fans live. Every screen labels it that way. Promo links then measure real tickets per opener and segment, and that result reweights your next ranking.
Taste data comes from the Qloo taste graph: artist-to-artist affinity, neighbourhood heatmaps per artist and tag, place affinity for co-promotion and audience demographics. Your own ticketing data stays yours and joins in on the venue group plan.
Swami falls back to genre and tag heatmaps for that act and marks the pick as estimated, so you can see which rankings rest on the act itself and which on its scene.
The agent turns your request into searches, handles plain-language constraints like “no one from a rival label”, and explains each pick. Plain, tested code computes every score, and you make the call.