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I built an open-source assistant that plans, makes and schedules my short videos, and it lives on my desktop as a little blob called cc

I was spending more time making and posting TikTok/Instagram videos than building the product they were for, so I automated the boring parts and kept myself in the loop for the decisions. cc-studio (MIT): https://github.com/gsl0001/cc-studio Screenshots: cc's moods · setup is a chat with cc · cc hiding at the screen's edge What it does: Plans a week of posts per account from that account's own analytics and current trends. Makes each video with Claude Code (HyperFram

五维评分

付费意愿
55
需求真实度
65
个人可落地
65
竞争空间
25
新鲜度
50

AI 分析

痛点:内容创作者/独立开发者花在制作和发布 TikTok/Instagram 短视频上的时间,超过了他们做产品本身的时间,需要把'选题策划—视频生成—人工审核—排期发布'整条流水线自动化。

目标用户:独自运营社媒账号的独立开发者、solo 创作者和小型内容团队(同时跑多个账号、预算有限、愿意用开源/低价工具)。

证据:I was spending more time making and posting TikTok/Instagram videos than building the product they were for, so I automated the boring parts and kept myself in the loop for the decisions. / Asks you before anything goes out: every video comes to you in Telegram or on your desktop for a yes or no.

变现:开源核心 + 托管 SaaS 订阅(按账号数/月产视频条数分档收费),叠加托管部署、ElevenLabs 语音/音乐额度转售、多账号团队协作版等增值项。

MVP:两周内做一个'人工审核在环'的短视频半自动工具:读取一个账号的历史数据生成一周选题,用 Remotion/ffmpeg 基于用户上传素材批量生成竖版视频,通过 Telegram Bot 推送预览做 yes/no 审批,审批后走平台原生排期接口发布;只支持 1 个平台 + 单账号,本地桌面端做状态提醒。

竞品:Opus Clip、Postiz、Buffer、Publer、Predis.ai、Blotato

摘要:作者因做 TikTok/Instagram 短视频比做产品还费时,用 Claude Code + Remotion/ffmpeg 自建了 MIT 开源的 cc-studio:按账号历史数据规划一周内容、自动生成差异化视频、通过 Telegram 或桌面小宠物 cc 让人工审批后再用平台原生排期发布。帖子本身没有任何付费或收入数据,属于开源发布而非验证过的付费需求,但背后'短视频全流程自动化 + 人工审核在环'的痛点在创作者群体中真实存在。该赛道竞品密集(Opus Clip、Postiz、Buffer 等),独立开发者更适合以开源托管或垂直细分场景切入。