Postify vs Postiz
Postiz is an open-source scheduler you can self-host and modify, which is a genuinely different product category from a managed service. Postify is hosted, and the argument for it is that connector maintenance and publish reliability are our operating problem rather than yours.
Postiz bills open source — free to self-host, or a paid hosted tier. Every Postiz fact on this page is either a published price or something Postiz documents itself, each one linked so you can check it — sources last verified . We do not quote review-site ratings, and we have no customer testimonials to show you yet.
The honest part
Where Postiz is the better choice
A comparison page that claims we win on everything is an advertisement. These are the cases where we would tell you to pick Postiz.
- It is open source. You can read it, fork it, patch it, and you are not dependent on our roadmap or our continued existence. For a lot of engineers that ends the discussion, and reasonably so.
- Self-hosted, there is no per-seat or per-channel licence cost at all. If you have infrastructure and the time to run it, that is unbeatable on price.
- You can point it at your own LLM endpoint. Postify does not offer bring-your-own-model.
- Your data stays on your own infrastructure, which for some organisations is a hard requirement rather than a preference.
- Its community ships connectors on its own schedule, including networks Postify has not built.
What we build instead
Publishing you can audit
The category's loudest complaint is posts that quietly never go out. Every line below describes a mechanism that exists in the product today.
One writer, structurally
Moving a post into publishing is a single conditional database write. If two workers race, exactly one wins and the loser returns without ever calling a platform API — double-publishing is prevented by the data model, not by a lock that can time out.
Retries that cannot double-post
Every delivery attempt derives a deterministic key from the post, the channel, its scheduled time and the attempt number, stored under a unique constraint. A retry of an attempt that already reached the platform collides on that key and is recorded as skipped instead of sent twice.
A per-channel delivery record
Every post exposes, per channel, the stage it reached, how many attempts it took, the HTTP status the platform returned and the error text if it failed. When something does not go out, the reason is in the product rather than in a support reply.
Nothing sits in limbo
A sweep runs every minute and any post still stuck mid-publish after an hour is moved to failed, which triggers the same failure email and webhook as any other failure. A wedged job surfaces as a failure you are told about, not as silence.
You are told, every time
A failed publish sends an email you can switch off per workspace and fires a post.failed webhook carrying the same detail. Silence is not a failure mode we rely on you to notice.
Failed deliveries you can replay safely
Failed deliveries collect in a queue you can inspect and replay. The replay path re-checks that the post still exists, that this channel is not already delivered, and that no attempt is in flight — it refuses rather than risk a duplicate, and every replay is written to the audit log.
A real public API, not an integrations page
17 REST operations under /v1 with an OpenAPI 3.1 spec, RFC 9457 problem+json errors carrying a stable machine-readable code, cursor pagination, and IETF-draft rate-limit headers. Scoped organization API keys; an Idempotency-Key header on post creation with a 24-hour ledger.
Signed webhooks with a published failure ladder
Outbound events are signed per the Standard Webhooks spec (HMAC-SHA256 over id.timestamp.body). Secret rotation overlaps both signatures for 24 hours. Failed deliveries retry 9 times across roughly 32 hours, warn you by email at 5, 10 and 15 consecutive failures, and auto-disable the endpoint at 20.
An MCP server for AI agents
A remote MCP server exposing 13 tools over OAuth 2.1, so an assistant can read your schedule and draft posts directly. Publishing and deleting stay disabled until a workspace owner turns them on.
An MIT-licensed SDK
The TypeScript SDK is MIT licensed and open source, so the client you automate against is not a black box.
Analytics that admit what they don't know
Follower figures carry the reason you can trust them — live, frozen, or as-of-last-connect — and the top-posts panel names which platforms engagement data actually covers instead of quietly reporting zero for the rest. Today that means engagement metrics for LinkedIn and Facebook, and follower counts for Bluesky, Facebook, Instagram and X. Other connected platforms show as uncovered rather than as zero.
Check it yourself
What Postiz documents about Postiz
We only cite what a vendor publishes about their own product. Every link goes to their page, not our summary of it.
Postiz develops in the open, so its connector breakages, feature requests and their vote counts are all public in its issue tracker — an unusually honest thing to be able to evaluate before choosing a tool.
Postiz issues on GitHub ↗
Questions
Postify vs Postiz, answered
Why choose a hosted tool over self-hosting Postiz?
Mostly because platform connectors are permanent maintenance rather than a one-time build. Networks deprecate scopes, rotate token rules and change review requirements continuously, and self-hosting means those breakages are yours to notice and fix, along with registering and maintaining each platform app yourself. With Postify that work is ours. If you would rather own it — and some teams genuinely would — self-hosting is the better answer.
Is Postify open source?
The product is not. The TypeScript SDK is MIT licensed and open source, and the API it targets is specified in a public OpenAPI 3.1 document, so your integration code is not locked to a black box even though the service is closed. If open source is a requirement rather than a preference, Postiz is the honest recommendation.
What does Postify offer developers that a self-hosted tool does not?
A maintained public contract. 17 REST operations under /v1 with an OpenAPI 3.1 spec, RFC 9457 problem+json errors with stable codes, cursor pagination and rate-limit headers; outbound webhooks signed per the Standard Webhooks spec with a published retry schedule and failure ladder; and a remote MCP server exposing 13 tools over OAuth 2.1 so AI assistants can work against your schedule. Self-hosting gives you the database instead, which is more power and more responsibility.
Can Postify guarantee posts will publish?
No, and any tool that says otherwise is overselling — publishing depends on third-party APIs none of us control. What Postify does is make failure visible and non-duplicating. One conditional write means only one worker can ever claim a post, so a race cannot double-publish. Deterministic per-attempt keys mean a retry that already reached the platform is recorded as skipped rather than sent twice. Anything wedged mid-publish for an hour is swept to failed so it raises an alert instead of sitting silent. And every failure sends an email and a webhook.
Other comparisons
Try it against your own channels
The Free plan connects 3 channels and schedules 30 posts a month, with no card. Paid plans start at $24/month and each begins with a 14-day free trial.