MatrixPost
Publishing one piece of content to six platforms means six rounds of manual formatting and uploading; afterwards, the numbers are scattered across six dashboards and reviews are stitched together from screenshots. MatrixPost turns multi-platform operations into a content hub: edit once, and a per-platform rule engine adapts titles, covers, tags and length limits automatically, with a scheduled queue publishing everything. Data flows back into a single dashboard, and AI suggests topics based on your own historical data — not generic trending lists.
The problem we solve
- 1 piece × 6 platforms = 6 rounds of manual formatting and uploading — hours of pure hauling daily
- Each platform has different title limits, cover ratios and tag rules; memory-driven workflows mean constant rework
- Data scattered across platform dashboards; cross-platform review = screenshots + Excel
- Topic selection driven by trending lists, disconnected from your own account data
Core capabilities
Edit once, adapt everywhere
The rule engine handles per-platform title limits, cover sizes, tag and topic formats — one edit produces platform-ready drafts for all.
Scheduled publishing queue
Schedule by each platform's best time slots; the queue dispatches centrally with live status and failure alerts.
Analytics loop dashboard
Views, engagement and follower growth aggregated across platforms in one dashboard — trends, comparisons, and per-post cross-platform performance at a glance.
AI topic suggestions
Modeled on your own accounts' historical performance, not generic trending lists — it tells you what your audience wants.
Account matrix management
Multiple accounts, platforms and roles managed in one place, with tiered permissions and a full matrix overview.
Architecture
A content hub with plugin-style platform adapters — a new platform is just one more plugin.
Dashboard layer
Next.js dashboard
Content editing, scheduling calendar, analytics dashboard, matrix management.
Hub layer
Content hub · PostgreSQL
Single source of truth for content assets, platform rules, accounts and schedules.
Adapter layer
Plugin-style platform adapters
One adapter per platform: format adaptation, publishing API, data collection — iterated independently.
Scheduling layer
Worker + data backflow
Scheduled publishing, periodic data collection, retries and alerting.
Tech stack
- PostgreSQL (single source of truth for the content hub)
- Plugin-style platform adapters (one per platform, independently deployed)
- Scheduler workers (timed publishing + data collection backflow)
- Next.js (operations dashboard)
- Local LLM (topic modeling — data never leaves your domain)
Pricing direction
Early access
Free
Invited creators, full features.
Creator subscription
Tiered by accounts
Priced by connected accounts — smooth upgrade from solo creator to MCN.
Matrix edition
Monthly
For MCNs: bulk accounts, team collaboration, data export API.
Current stage: PoC, distilled from the methodology of UEIC's own 35.style media matrix. M0 = 3 platform adapters + analytics loop; M1 = full adoption by UEIC's own matrix; M2 = first batch of paying external creators.