CreatorOS: AI Brand Deal CRM for Creators (SaaS Blueprint, MVP Spec & Full IP)

For most professional creators, brand deals are the main source of income, yet those deals are run out of inboxes, DMs, spreadsheets, notes and memory. Brand inquiries get buried and follow-ups slip. Rates, usage rights and exclusivity terms are tracked by hand, if at all. Draft, approval and publish dates are spread across many campaigns, and nobody has a clear view of what has been invoiced, what is pending and what is overdue. The result is lost leads, underpriced deals, missed deliverables and late payments.

CreatorOS is a brand deal CRM and operating system for creators, designed to run every sponsorship from first lead to final payment and answer one question: "What needs my attention right now?" This listing is a SaaS blueprint and IP package: a pitch deck, product architecture, an MVP specification of eight screens and twelve build milestones, AI agent design and UI mockups, plus the CreatorOS name, brand identity and all IP. The seller says a dev team can build the MVP in 6 to 8 weeks.

Features

The features below are what the MVP specification and the deck mockups describe for the product.

Account and onboarding

• Email/password or Google sign-in
• A creator profile with name or brand, niche and category, social links, audience size, preferred platforms, rate card, brand voice and revenue goal

Creator dashboard

• The first screen after login, showing monthly deal revenue, pending revenue (invoiced, not yet paid), overdue amounts and active opportunities
• A Needs attention list of drafts due, silent brands, approvals awaiting the brand, overdue invoices and upcoming payments
• A pipeline snapshot with deal counts and values per stage
• AI-recommended next actions, with Draft Follow-Up and View Deal buttons

Brand CRM

• A lightweight CRM for each creator: brand and contact name, email and website, industry, relationship status and notes
• Previous deals and total revenue per brand

Deal pipeline

• Nine stages: New, Qualified, Contacted, Negotiating, Contracted, Delivering, Invoiced, Paid and Closed
• Proposed and final rates, dates and deliverables, payment terms, notes and attachments
• A next action on every deal

Deliverables and payment tracking

• Tasks generated automatically for each contracted deal: drafts, approvals, publish dates and reports
• Tracking of contract value, deposits, invoices, payments, overdue balances and pending revenue

AI operations layer

• Specialized agents: a Deal Agent (pipeline, terms, follow-ups), a Content Agent (ideas, scripts, repurposing), a Revenue Agent (invoices, payments, forecasts) and an Operations Agent that coordinates them
• Summarizes opportunities, extracts deal terms from emails, flags missing information, drafts negotiation emails, recommends next actions and spots silent deals
• Human approval is built into the workflow

Expansion roadmap

The architecture has seven layers built in order. After the deal system, AI layer and revenue tracking come a Content OS (calendar, campaigns, AI content assistant), Creator Analytics, Integrations (email and calendar, then YouTube, Instagram and TikTok) and an Automation Engine for creator-defined rules. These later layers are roadmap, not MVP.

Who it is for

• SaaS founders who want a researched, fully specified product to build and launch instead of starting from a blank page
• Software agencies and dev studios looking for a white-label product line to sell to creator clients
• Creator management agencies and talent managers who need a deal pipeline, deliverable and payment system for the influencers, YouTubers, TikTok and UGC creators they manage
• Creator-economy startups adding sponsorship management to analytics, content or marketplace tools

How it works

1. The creator signs up and completes an onboarding profile with niche, platforms, audience, rate card and revenue goal.
2. Brand inquiries become deals in the pipeline and brands are stored in the CRM.
3. Deals move through nine stages, from New to Closed, with rates, terms and a next action recorded on each.
4. Once a deal is contracted, deliverable tasks are generated and invoices and payments are tracked.
5. The dashboard and the AI layer surface what needs attention: overdue invoices, silent brands and upcoming deadlines, with drafted follow-ups for the creator to approve.

Ways to monetize

The package includes the seller's monetization model. Typical options are creator subscriptions, agency tiers for managing multiple talent, white-label licences, and paid AI or integration add-ons.

Technology

AI-powered SaaS (web app plus admin panel) · iOS and Android apps built with Expo / React Native (EAS builds) · Google sign-in · email and calendar integrations planned, then YouTube, Instagram and TikTok

What you get

• Pitch deck, product architecture and MVP specification
• AI agent architecture, UI mockups, screens list and workflow diagrams
• Build sequence (12 milestones) and a micro-MVP outline
• Pipeline, dashboard, deliverable, payment, automation and integration logic
• Monetization model, market analysis, concept video script and outreach emails
• CreatorOS naming rights, brand identity and all intellectual property
• Optional, at the seller's discretion: domain, logo, UI components, early wireframes, demo video and landing page copy
• 30 days of seller support

Good to know

• Blueprint, not a finished app. The seller describes the package as "a ready-to-build SaaS" that a team can build in 6 to 8 weeks. All six screenshots are photos of the pitch deck, and the dashboard slide is labelled "Illustrative product mockup". The listing form names an admin panel, a website and Android/iOS builds, so confirm with the seller exactly what working source code, if any, is included before you buy.
• Tech stack. Apart from the Expo (EAS) build commands, no stack, database or AI provider is specified. Confirm it with the seller, or choose your own if you are building from the spec.
• Pre-revenue. No users, revenue or traction figures are given. The dollar amounts on the dashboard slide are sample data.
• Your own accounts. A build needs your own AI model provider, Google sign-in, email/calendar and social platform API access, hosting, and Apple/Google developer accounts.
• Market claims. Statements such as "no competitor covers the full workflow" are the seller's own positioning; do your own competitor research.