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I think social media schedulers are about to become agent infrastructure. I built Postdom around that bet

I've been building a social media scheduler called Postdom, but the more I've worked on it, the less I think the long-term product is actually a "scheduler." My thesis is: Today: Human > scheduling UI > social platforms Increasingly: Human > AI agent > scheduling infrastructure > social platforms The scheduler still needs a great UI because humans need to review, edit, approve, understand performance and occasionally work manually. But the execution layer increasingly becomes AP

五维评分

付费意愿
25
需求真实度
30
个人可落地
72
竞争空间
35
新鲜度
78

AI 分析

痛点:营销团队希望用 Claude/ChatGPT 等 AI agent 直接驱动社媒发布与排期,但现有排期工具只有给人用的 UI,缺少 agent 可调用的 API/MCP 执行层。

目标用户:用 AI 做内容运营的品牌方、社媒代运营机构与增长团队

证据:Human > AI agent > scheduling infrastructure > social platforms / The scheduler still needs a great UI because humans need to review, edit, approve... But the execution layer increasingly becomes API/MCP/agent-driven. / Rather than an AI caption button bolted onto an old social media suite.

变现:SaaS 订阅(按品牌/账号/座位数)+ MCP/API 调用量或 agent 执行次数分层计费;对代理机构推白标版

MVP:两周内只做 agent 层:一个 MCP server + 最小发布 API,先支持 X 和 LinkedIn,Claude Desktop 里用自然语言排期、返回发布结果与基础分析,不做完整日历 UI 和全平台接入

竞品:Buffer、Hootsuite、Later、Metricool、Publer、Postiz、Typefully

摘要:一位开发者在 r/SaaS 发布自建产品 Postdom,提出“人类 > AI agent > 排期基础设施 > 社交平台”的判断,产品同时提供人工日历界面和 API/MCP/权限的 agent 接口。帖子是创始人自述式推广并征求反馈,没有任何付费意愿原话、收入数据或其他用户附和,需求尚未被第三方验证;排期工具赛道竞品密集,但 agent 可调用的发布基础设施这一层还比较新。