15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T73b,Hi HN! I built QPost (https://qpost.dev), a tool for scheduling and publishing content across YouTube, TikTok, and Instagram from a single interface.

*What it does:*

- Schedule posts across multiple platforms simultaneously

- Platform-specific metadata (YouTube titles/descriptions, TikTok hashtags, Instagram captions)

- Automated publishing via cron jobs

- Account management for multiple social accounts

- Real-time post queue with status tracking (scheduled, posted, failed)

*Tech stack:*

- Astro + React for the frontend

- Prisma + PostgreSQL for data

- Better-auth for authentication

- Google Cloud Storage for media

- node-cron on a Digital Ocean droplet

*Why I built it:*

Most social media schedulers are either expensive SaaS products or locked behind complex enterprise tools. I wanted something free to use and easy to incorporate into a workflow.

*What was challenging:*

Each platform has its own quirks – TikTok's creator API, YouTube's OAuth scopes, Instagram's Graph API. The OAuth verification process was brutal:

- Google took several rounds of revisions (had to add a landing page with privacy/terms just for their requirements)

- TikTok only needed 3 rounds but each round took several weeks for feedback, so it actually took longer than Google

- Dealing with different API restrictions across all platforms

I also had to migrate off Vercel because of their request size limits (video uploads) and cron job pricing. Running node-cron on a $6/month Digital Ocean droplet ended up being way more cost-effective.

The project uses a simple API design, so you can integrate it into your own workflows or build CLI tools on top of it.

Would love to hear your feedback and ideas for improvements!17:T5fd,Hi al

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