Anyone can wire an LLM to a caption box. Keeping a voice model current against real engagement, holding pre-approved OAuth apps for platforms that gate behind business verification, and exposing a stable MCP surface are all ongoing work — and agencies pay extra for the client-review layer.
REPLACEMENT BRIEF
social media
Can AI replace posterly?
The compose-queue-publish loop is a weekend on open-API networks, same as any scheduler. What is specific here and harder to fake is the agent-native layer — an MCP server exposing tools an agent can drive, and a voice model actually trained on your posting history and its outcomes rather than a few-shot prompt. Add approval-gated platform apps, per-network transcoding, and client-approval workflows, and the moat is upkeep and depth, not the publish button.
A local API and compose queue that publishes to open-API networks on a schedule, with a caption endpoint an agent can call directly instead of a UI-only AI button.
Build the personal version →AT A GLANCE
- price
- $15/mo
- listed annual price
- $180/yr
- replaceable scope
- A local API and compose queue that publishes to open-API networks on a schedule, with a caption endpoint an agent can call directly instead of a UI-only AI button.
- build time
- multi-day
Build promptreviewed prompt · not run
the prompt
Curated promptBuild me a personal social scheduler an AI agent can drive, to replace posterly. Requirements: - Node + Express + better-sqlite3, with both a localhost compose page and a small local HTTP API (list_slots, create_post, get_recent_posts) so a coding agent can call it directly instead of only a human using the UI. - Three open-API targets: Mastodon (access token), Bluesky (app password via @atproto/api), and a Telegram channel (bot token). One adapter file per network so a fourth is addable later. - A /caption endpoint: given a topic, call an LLM API (key in .env) with my last ~20 published posts as style examples, so drafts sound like me instead of a generic AI voice. Cache the examples so it's not refetching the DB on every call. - Slot-based queue: posting times per weekday in my timezone, new posts fill the next free slot, or pin an exact datetime; duplicate a post across networks with per-network text. - A node-cron tick every minute publishes due posts, marks each row sent or failed before sending (no double-posts), retries failures 3 times. - Attached images in media/ next to the database, resized per network with sharp; a history page of the last 100 sent posts linking out. - Runs on my always-on box; localhost only, no accounts, no telemetry. - Out of scope: Instagram, LinkedIn, TikTok, Facebook, and Google Business Profile (approval-gated APIs, say so in the README), review management, client approvals, video transcoding, and analytics. - README: getting a Mastodon token, a Bluesky app password, a Telegram bot token, and pointing a coding agent at the local API.
The prompt stays readable first. Choose a launch option when you are ready.
$ open in your agent (prompt prefilled, you press enter) or copy it raw
what AI can build
A local API and compose queue that publishes to open-API networks on a schedule, with a caption endpoint an agent can call directly instead of a UI-only AI button.
The prompt was editor-reviewed; no completed build is recorded.
The honest tradeoff
why people still pay
what you lose
x18 maintained platform integrations, including approval-gated ones (Instagram, LinkedIn, TikTok, Facebook, Google Business Profile)
xa voice model trained on your actual post history and what performed well, not a static prompt template
xGoogle Business Profile review replies and photo management
xclient approval portal and content-plan review for agencies managing multiple brands
xper-platform video/image transcoding tuned to each network's limits
xa hosted MCP server + REST API built for agents, not bolted on after the fact
Start with existing software
prior art · use these instead of building, if you'd rather
EVIDENCE LEDGER
What this page can prove
The verdict judges replaceability. The evidence level records what DeepFeather actually checked.
The prompt was editor-reviewed; no completed build is recorded.
Pro · monthly
known limits · 18 maintained platform integrations, including approval-gated ones (Instagram, LinkedIn, TikTok, Facebook, Google Business Profile); a voice model trained on your actual post history and what performed well, not a static prompt template
BUILD FEEDBACK
Did you try this build?
Report the outcome. Submissions enter a manual evidence queue and never auto-upgrade the verdict.
Want next week’s replacements?
New verdicts + most-wanted, weekly. Free. One-click out.
Share this verdict
questions
Can AI replace posterly?
Possibly for a narrower core workflow, but this catalog judgment is not a verified build. Expected gaps include: 18 maintained platform integrations, including approval-gated ones (Instagram, LinkedIn, TikTok, Facebook, Google Business Profile), a voice model trained on your actual post history and what performed well, not a static prompt template. Validate the prompt against your own acceptance criteria before committing.
How much does posterly cost?
posterly is listed at about $15/month (Pro, checked 2026-07-30), or $180 per year. This is a pricing reference, not evidence of a completed replacement or realized savings.
What do I lose by replacing posterly?
Honestly: 18 maintained platform integrations, including approval-gated ones (Instagram, LinkedIn, TikTok, Facebook, Google Business Profile); a voice model trained on your actual post history and what performed well, not a static prompt template; Google Business Profile review replies and photo management; client approval portal and content-plan review for agencies managing multiple brands; per-platform video/image transcoding tuned to each network's limits; a hosted MCP server + REST API built for agents, not bolted on after the fact. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to posterly?
Yes — Postiz (Open-source social scheduler, self-hostable, covers much of the DIY core for open-API networks.). Using prior art is also a valid exit; the prompt is for when you want it exactly your way.