Growth OS is the missing layer: character-locked content generation, account-safe publishing, analytics that need no platform approval — and a doctrine loop that records what worked and steers the next post. Built by operators running live accounts, productized.
Private beta · hand-onboarded · cancel anytime
Figures from accounts run on Growth OS. Sample data.
Generation tools stop at the export button. Schedulers don't know what your character looks like. Neither of them knows which of your last twenty posts worked, or why.
| AI UGC generatorsArcads · MakeUGC · HeyGen | SchedulersBuffer · Postiz · Later | Faceless automatorsAutoShorts · ReelFarm | Growth OS | |
|---|---|---|---|---|
| Consistent character identity | ~ per-clip avatars | — | — | ✓ reference-locked |
| Publishing | — export only | ~ API auto-post | ~ API auto-post | ✓ account-safe drafts |
| Post-level analytics | — | ~ where APIs allow | ~ thin | ✓ scrape-matched |
| Learns per account | — | — | — | ✓ doctrine loop |
| Multi-account console | — | ✓ | ~ | ✓ |
Every account carries a living playbook: its winning format, caption templates, and an observations log. Each cycle reads it before generating and updates it after measuring. The system gets better at your account with every post.
Scripts, images, video, voice, lip-sync. Your persona's face and vibe hold across hundreds of posts — identity is locked to reference images, not re-rolled per prompt.
Slideshows, overlays, captions from the account's own template. Safe zones respected, metadata scrubbed. A post is a reviewable draft, not a folder of exports.
Posts land in your TikTok inbox as drafts; you tap publish in the app. Native publish path, no API auto-post fingerprint on the content.
The detector scrapes your public profile and matches live videos back to your posts — views, saves, follower deltas. No platform analytics API required.
No feature exists twice. What you click in the console, you can call from the API — and the autonomous planner can propose on the same rails, with you approving.
Reference-conditioned generation with validated recipes: replicate a proven viral frame 1:1 with your character in it, keep the face across every post, audit candidates before anything ships.
Image-to-video with Kling, Veo, and Seedance. Face swap, ElevenLabs voiceover, lip-sync — chained as one flow, every paid run explicitly approved and cost-tracked.
Mixed-media slideshows with per-slide backgrounds and text placement, caption from the account template, everything materialized into a reviewable draft before it goes anywhere.
TikTok posts arrive as drafts in your app inbox — you publish natively. Instagram lands as a reviewable draft too. The auto-post fingerprint that burns warm-up accounts never touches yours.
A scraper watches your public profile and matches live videos back to scheduled posts by publish time and caption similarity. Ambiguous matches ask you; nothing mis-attributes silently.
Winning formats, caption templates, and observations live on the account itself. The planner reads them with fresh analytics and proposes the next posts — you approve, it executes.
Upload reference images, set the character's look and voice, write the first doctrine: niche, format, caption template. Or clone one of our proven account archetypes.
Generate, review, publish from the inbox. The detector starts matching numbers to posts within hours of your first publish. Kill what flops, note what moves.
By post twenty the account knows its winning format. The planner proposes, you approve. Add the second account — the console runs ten as easily as one.
Video costs real money per run — so it's credits, not a fake "unlimited". Image generation, composing, scheduling, and analytics are flat.
Kick the tires with your own provider keys.
One person, a few accounts, posting daily.
Serious operators compounding a portfolio.
Teams running accounts for clients.
Credits meter generation compute (1 credit ≈ 1 image; video runs are quoted per run before you approve them). Unused credits don't roll over. Prices are beta pricing, locked in for early accounts.
Growth OS wasn't built to be sold — it was built to run our own AI-persona accounts, and productized once the loop proved itself. Beta seats are hand-onboarded so the doctrine transfers, not just the software.