Postiz

Postiz is a self‑hostable, AI‑driven social media scheduling platform that unifies content creation, distribution, and analytics across a broad spectrum of channels—Twitter (X), LinkedIn, Instagram, TikTok, YouTube, Discord, Slack, Reddit, and emerging networks such as Threads, Bluesky, Nostr, and Warpcast. From a developer’s perspective, Postiz functions as an extensible orchestration layer that abstracts the idiosyncrasies of each platform’s API, allowing teams to focus on content strategy rather than integration plumbing. The core service exposes a RESTful public API, an SDK for Node.js, and custom connectors for workflow automation tools (n8n, Make.com), making it straightforward to embed scheduling logic into existing CI/CD pipelines or micro‑service architectures.

Technical Stack

• Backend: Go (Golang) is used for the API server, chosen for its concurrency model and low runtime overhead. The codebase leverages gin for routing, gorm for ORM, and grpc for inter‑service communication within the Postiz ecosystem.
• Frontend: React with TypeScript powers the web UI, employing Vite for fast builds and Zustand for lightweight state management.
• Database: PostgreSQL stores user data, channel credentials, and scheduling metadata. TimescaleDB extensions enable efficient time‑series analytics on post performance metrics.
• Message Queue: Kafka orchestrates asynchronous posting jobs, ensuring reliability and back‑pressure handling across hundreds of concurrent social accounts.
• AI Layer: OpenAI APIs are wrapped behind a custom inference service; the platform also supports self‑hosted LLMs via an optional Docker image.
• Containerization: A single docker-compose.yml defines all services, enabling quick deployment on any Kubernetes cluster or bare‑metal server. Helm charts are available for production‑grade deployments.

Core Capabilities

• Cross‑Channel Scheduling: Create a single post and target multiple channels with channel‑specific transformations (image resizing, link shorteners).
• AI Content Assistant: Generate captions, hashtags, or even full posts using GPT‑style models; the SDK exposes an endpoint for on‑demand generation.
• Webhook & Event System: Subscribe to events such as “post published” or “engagement spike”; useful for triggering downstream analytics pipelines.
• Custom Integrations: The public API allows developers to programmatically add new social platforms by implementing a thin adapter that satisfies the PostizAdapter interface.
• Analytics API: Exposes metrics (impressions, clicks, engagement rate) aggregated per channel and globally; data can be pulled into BI tools via the SDK or raw SQL queries.

Deployment & Infrastructure

Self‑hosting is straightforward: a single Docker image contains the API, worker, and UI. For scalability, each component can be horizontally scaled; Kafka partitions ensure load balancing across workers, while PostgreSQL is replicated via Patroni. The platform supports both single‑node and multi‑node Kubernetes clusters, with built‑in health checks and automatic rolling updates. Resource footprints are modest— a typical production instance requires 2 GB RAM, 1 CPU core for the API, and 4 GB RAM for a worker cluster handling up to 10k scheduled posts per day.

Integration & Extensibility

Postiz’s plugin architecture lets developers inject custom logic into the posting pipeline. A postprocessor hook can modify payloads before dispatch, enabling features like custom emoji translation or sentiment filtering. The SDK’s event emitter allows listening to internal events, while the webhook system lets external services react in real time. For advanced users, the OpenAPI specification is available, facilitating code generation for client libraries in any language.

Developer Experience

The documentation is comprehensive, featuring a dedicated developer portal (docs.postiz.com) with code samples, SDK references, and a sandbox environment. The community is active on Discord (dev‑only channel) where contributors discuss feature requests and integration patterns. Licensing under AGPL v3 ensures that any modifications remain open source, fostering a collaborative ecosystem.

Use Cases

• Agency Automation: A digital marketing agency can provision isolated Postiz instances per client, each with its own credentials and scheduling rules, all managed from a central dashboard.
• Enterprise Content Pipelines: A media company can embed Postiz into its CI/CD pipeline, automatically publishing approved assets to multiple platforms as part of a Git‑based release workflow.
• Startup MVPs: Early-stage founders can spin up a lightweight Postiz instance to experiment with AI‑generated content and analytics without incurring cloud costs.

Advantages

• Performance: Go’s goroutine model and Kafka’s high‑throughput messaging deliver sub‑second posting latency even under heavy load.
• Flexibility: The adapter pattern and webhook system make it trivial to extend support for new platforms or custom business logic.
• Open Source: AGPL v3 guarantees that any derivative work remains open, encouraging community contributions and auditability.
• AI‑First: Built‑in AI assistants reduce content creation friction, a unique selling point compared to competitors that rely on third‑party integrations.

Postiz offers developers a robust, scalable foundation for building sophisticated social media workflows while keeping the entire stack under their control.