Open-source agentic social media scheduler for Bluesky, Threads, Instagram, LinkedIn, Mastodon, YouTube, Facebook Pages, Pinterest, Telegram, Nostr, X, Discord, Tumblr, and Lemmy. Schedule posts and first comments from one composer, with a visual calendar, per-platform previews, engagement analytics, team workspaces, REST API, and MCP server support. Self-host with Docker or use the hosted version at posthive.co. AGPL-3.0.
A startup from India.
Listed in
14+ Platform Support
Bluesky, Threads, Instagram, LinkedIn, Mastodon, YouTube, Facebook Pages, Pinterest, Telegram, Nostr, X (Twitter), Discord, Tumblr, Lemmy
First Comment Scheduling
Automatically posts a comment seconds after the main post goes live. Great for hashtags, links, or CTAs
Per-Platform Previews
See exactly how your post will look on each platform before scheduling
Instagram Reels & Stories
Full support for Reels, Stories, carousels, and feed posts
MCP Server
Native AI agent integration for Claude and Cursor
Next.js, Fastify, Prisma, BullMQ, Redis, TypeScript, SQLite (dev) / PostgreSQL (prod), Docker
Not yet disclosed early-stage product launched in 2026
First comment scheduling Posthive automatically posts a comment right after your main post goes live, so you can keep hashtags out of the caption. It also supports 14+ platforms including niche ones like Bluesky, Mastodon, Nostr, Pixelfed, and Lemmy that most schedulers ignore. Fully open-source and self-hostable under AGPL-3.0.
Flat pricing with no per-seat or per-channel fees, a built-in MCP server for AI agent integrations (Claude, Cursor), first comment automation, and the option to self-host for free. Buffer and Hootsuite charge more as you add accounts Posthive doesn't.
Indie hackers, developers, creators, and small teams who post to multiple platforms and want one tool that covers both mainstream (Instagram, LinkedIn, YouTube) and decentralized networks (Bluesky, Mastodon, Nostr).
Built by a solo founder who was frustrated paying for multiple tools to cover different platforms. Started as a personal project, open-sourced under AGPL-3.0, and launched publicly in 2026.
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