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iHatePosting

Draft, schedule and publish posts to 14 social networks — Instagram, LinkedIn, TikTok, YouTube, Pinterest, X and more — without leaving Claude.

Category
Pending
Primary Subcategory
Pending
View in the Claude registry
Integration details

Description

iHatePosting is a social media scheduler. Connected to Claude, it can write, schedule and publish to 14 networks: Instagram, Facebook, LinkedIn, X, TikTok, YouTube, Pinterest, Threads, Bluesky, Mastodon, Telegram, Discord, Slack and Tumblr. • Draft posts and schedule them • Give you analytics of your socials WHAT YOU NEED. An iHatePosting account and at least one connected social account. You sign in with OAuth when you connect — there is no API key to copy or paste.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-09-23
Tool count
15
Geography
US

Claude Discoverability Score

Claude Connector discovery is coming soon

Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.

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No spam. Unsubscribe any time.

What discovery looks like

Claude showing a list of relevant Connectors in a conversation

Claude can surface verified Connectors when they match a user’s Prompt.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce iHatePosting has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

15 tools agents can invoke

iHatePosting FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.