Receipts
Public scoreboard. Updated every load.
Every number here is pulled from production right now. We don't curate it. If a metric drops, you'll see it.
Videos generated
41
All-time, across every brand on the platform
Dollars tracked
$1,458.73
Across 8,090 logged API calls
Posts published
189
Includes pre-platform historical imports
Active client groups
8
Customer + entity + prospect groups
Last refresh: 2026-06-21T01:26:43.237Z
Spend trajectory
What we've spent on the engine, by week.
Every API call to Kie.ai, Apify, Anthropic, ElevenLabs, Suno is logged with a tenant ID and timestamped. This chart is the sum.
Named results
Real systems running real businesses.
Every number verified against production data.
Case study
A local remodeling business runs a content engine that produces and queues reels on autopilot. One organic reel crossed 1,854 plays with $0 in ad spend — two more cleared 1,500 and 1,300, averaging 569 plays per post across the engine. That's reach a DFW remodeler never paid an agency or an ad budget to get.
Remodeling business · Recurring retainer
Top organic reel 1,854 plays, $0 paid. 3 reels over 1,300 plays; 569 avg plays across 21 measured reels.
Industrial services · Custom offer page
Bespoke torsion-spring engineering proposal page — self-contained, portable, looks like nothing else in the garage-door market.
Pool services · Funnel + onboarding
Pool-blueprint landing page + onboarding flow, built in a week from scratch.
Insurance agency · Bilingual content pipeline
Hebrew + English content schedule, legally-vetted, running from one calendar.
Questions about these numbers
Why is the published count so high?
Most of the count is Facebook posts from before the pipeline launched — we imported them as the training baseline. The pipeline has been live since early 2026. Every post it has produced since then is in that count and timestamped.
Does the spend chart include test runs?
Yes. We don't filter failed jobs out. They cost real dollars and they tell the real story.
What's missing from this page?
Per-customer breakdowns (privacy). Revenue (we don't share until it's meaningful). NPS (sample size too small to publish honestly).
Why publish this at all?
Every other AI tool hides their numbers. We don't have to.
How do I report a bad number?
DM @superseller on Instagram or open a GitHub issue. Goes straight to the founder.
Will this page ever lie?
No. If we hit a number we don't want public, we remove the metric and announce it. We don't fudge it.