Two lists per scout profile, both fed by the same Save/Use click in Scout. Seed creators are what the HikerAPI scanner polls daily for new virals — no phone needed. Warm-up reels are what the phone engages before it starts scrolling, to anchor the feed to the niche. The phone discovers new creators; the scanner mines the ones it found.

How many viral reels your team pushed from the Airtable Viral Finder each day, per discovery profile — and how on-target they were. Kept % = saved + used ÷ triaged (saved + used + rejected). Higher means more of the delivered reels were worth keeping; rejected reels are the off-niche finds (they tick Niche-off back in Airtable).

Daily snapshots of our IG profiles. "All" rolls up the active roster (frozen accounts excluded) — pick a profile to drill in.

Monthly funnel efficiency per model — how well branding converts attention into revenue. Months follow the Europe/Prague calendar, matching Fanvue reporting.

Idea pipeline from the AI creative director. Give feedback, approve the good ones, push them to production. Created → Approved → In production → Ready to post → Posted (feedback + posted performance flow back so the AI learns).

The posting day at a glance — per model: what's been logged, what's ready to repost, what's in production.

Proven reels library with repost cooldowns — 21 days per reel (Europe/Prague). Log every posting; the bank tells you what's eligible today. Click a row to see its posting history.

AI creative director vs human — head-to-head on reels that actually got posted. 🤖 = born from a Fable 5 idea · 🧠 = human (your briefs, bank remakes, scout finds). Timeframe = the reel's posted date; stats auto-refresh via HikerAPI every 12h.