Original Summary

I’m building an iOS fitness app and I didn’t want content marketing to become a second full-time job, so I’ve been building the infrastructure around it myself. The current pipeline looks roughly like: research → content → video render → automated QA → scheduled publishing → Instagram/Facebook → comment automation → tracking The stack is mostly Python, FFmpeg, systemd, Meta Graph API, Cloudflare Workers and Supabase. A few things that turned out to be much harder than I expected: safely publishing to Instagram and Facebook without accidental duplicates handling a laptop being offline when a scheduled post should fire Meta webhook verification and Page permissions Facebook comment → Messenger private replies separating Instagram and Facebook automation so one cannot break the other automated video QA before anything is allowed to publish making the scheduler fail closed when Meta returns an ambiguous result thumbnail selection so Reels don’t appear with a black cover One thing I’m deliberately trying to avoid is “AI generates unlimited junk and posts it everywhere.” The system has a QA gate and publishing state so content has to pass checks before it can go live. It’s now successfully publishing live content, and I’m working on making the generation queue prepare the next posts several hours before their scheduled slots. I’m curious how other people building production automations handle the last 20%: observability, retries, idempotency and failure alerts. If you were hardening this system next, what would you work on? currently the first post is live you can check it here the next 4 are scheduled in the next 48 hours : instagram facebook dauntra   submitted by   /u/Psychological-Row938 [link]   [comments]

中文概览

中文标题： 我构建了一个自托管营销系统：生成、QA检查、排程并发布到Instagram和Facebook

作者为iOS健身应用搭建自托管营销系统，流程为调研→内容→视频渲染→自动QA→定时发布→Instagram/Facebook→评论自动化→追踪。技术栈主要是Python、FFmpeg、systemd、Meta Graph API、Cloudflare Workers和Supabase。难点包括避免重复发布、定时发布时笔记本离线、Meta webhook验证与页面权限、Facebook评论转Messenger私信、隔离IG与FB自动化、发布前视频QA、调度器失败关闭及Reels缩略图。系统有QA门禁和发布状态，首批内容已上线；作者询问可观测性、重试、幂等和失败告警等加固经验。

  • 情报分类：开源项目与落地
  • 分类依据：作者自建并落地营销自动化系统，含发布流程与工程实践，归为项目。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/23 17:41:30