VidSyndicate

Today was a pretty big milestone for VidSyndicate: we successfully got TikTok Direct Content Posting working.

For anyone building a SaaS product that publishes content to TikTok, I wanted to share some of what we learned because this integration turned out to be one of the more challenging social APIs we've implemented.

What we were trying to build

VidSyndicate is a social media publishing platform that lets creators and businesses upload a video once and distribute it across multiple platforms.

TikTok was an important piece of that.

Originally, we implemented TikTok's Inbox/Draft publishing workflow. That worked, but it wasn't the experience we ultimately wanted.

The user still had to finish the publishing process inside TikTok.

What we really wanted was:

VidSyndicate → TikTok → Published

without requiring the creator to manually finish the post inside the TikTok app.

That meant getting access to TikTok's Direct Post API.

Getting approved isn't just about having working OAuth

One of the biggest lessons was that having a technically functional integration isn't enough.

TikTok wants to understand the entire user experience.

We had to make sure our application clearly demonstrated things like:

• How a user connects their TikTok account

• How videos are selected

• How captions are entered

• How privacy options are handled

• What happens when the user publishes

• How TikTok fits into the overall product

• That publishing is initiated intentionally by the user

If you're applying for access, build the integration as though someone reviewing your application has never seen your product before.

Don't make the reviewer guess.

We kept the original TikTok workflow

One architectural decision I'm glad we made was not deleting the Inbox/Draft integration once Direct Posting became available.

Instead, we treated Direct Posting as a new publishing method.

That gives us the ability to support both approaches later if we decide there's a reason to.

I've learned this lesson repeatedly when working with third-party APIs:

Don't immediately destroy the old integration when the new one starts working.

Archive it. Disable it. Put it behind a feature flag.

You never know when an API provider will change something.

Approval wasn't the final hurdle

This was probably the most interesting part.

After getting through the API approval process, our first real Direct Post test still failed.

TikTok reported:

TikTok could not verify ownership of the video URL.

Our videos are stored in AWS S3, and the way we were providing the media URL wasn't satisfying TikTok's verification requirements.

So even though:

• OAuth worked

• The scopes were correct

• The app was approved

• The video existed

• TikTok could begin processing the request

…the actual publish still failed.

We changed the media handling workflow and tested again.

Success.

The video published directly to TikTok.

That was the moment where the integration went from "TikTok approved us" to "this is actually production ready."

Build social APIs expecting edge cases

VidSyndicate now integrates with platforms including Facebook, Instagram, LinkedIn, Pinterest, YouTube, TikTok and others.

Every API has its own personality.

TikTok reinforced something I've learned while building this platform:

The OAuth implementation is usually the easy part.

The hard parts are:

• App reviews

• Permission reviews

• Media requirements

• Platform-specific restrictions

• Video processing

• Error handling

• Token lifecycle management

• Production verification

• Designing a UX that satisfies both the platform and your users

You can have perfectly good code and still spend days dealing with one platform-specific requirement.

My advice if you're applying for TikTok Direct Posting

Have the product working before submitting your review.

Create a very clear demonstration of the entire workflow.

Show exactly where the user connects TikTok, selects content, configures the post and initiates publishing.

Don't assume approval means your production media pipeline will automatically work.

And most importantly:

Test with real videos through the entire production infrastructure.

A successful API request isn't the same thing as a successfully published TikTok video.

Why this milestone matters to us

TikTok Direct Posting was probably the last major technical hurdle standing between VidSyndicate and the publishing workflow I originally envisioned:

Upload once. Publish everywhere.

There's still plenty on the roadmap — Threads is currently going through Meta review, and we're expanding into podcast distribution — but TikTok Direct Posting was a big one.

Seeing that first video actually appear on TikTok directly from VidSyndicate felt pretty damn good.

If anyone else on Indie Hackers is working through the TikTok Content Posting API approval process, I'm happy to compare notes.

VidSyndicate: https://vidsyndicate.com

#buildinpublic #saas #tiktok #api #laravel #indiehackers

We Just Used a Private GPT to Post to 5 Social Networks Through the VidSyndicate API

We hit another milestone with VidSyndicate.

We recently added an API to VidSyndicate, and one of the first things I wanted to test was whether a custom GPT could actually use it as a social publishing backend.

The prototype worked.

Using a private GPT connected to the VidSyndicate API, I was able to create a social post and send it through VidSyndicate to:

Facebook
Instagram
LinkedIn
X (Twitter)
Pinterest

The interesting part is that GPT doesn't need to integrate separately with five different social networks. It sends the request to VidSyndicate, and VidSyndicate handles the individual platform connections and publishing pipeline.

This private GPT is only the proof of concept.

The next step is OAuth.

Right now, the private GPT is authenticated to my own VidSyndicate account. That works great for testing, but obviously isn't how a public integration should work.

The successful prototype gives us a path toward building OAuth support so that a VidSyndicate user could authorize their own account from GPT rather than sharing or manually configuring an API key.

The idea would be:

User connects their VidSyndicate account to the GPT through OAuth.

They could then ask GPT to create content for the social networks they have connected to VidSyndicate.

GPT sends the publishing request through the VidSyndicate API.

VidSyndicate handles publishing to the selected networks using the user's existing connections and permissions.

That could eventually make conversations like this possible:

"Create a post announcing our new product and make versions for Facebook, Instagram and LinkedIn."

GPT could prepare the content first. The user could review it and, when they're ready, explicitly ask it to publish through VidSyndicate.

The API also isn't being reserved for expensive plans.

API access is available to every VidSyndicate user, including the free plan.

Users are still subject to the publishing limits and features of their VidSyndicate plan, but there isn't a separate API subscription just because they want to automate their account.

And GPT is only one potential use case.

A WordPress site could send newly published articles to VidSyndicate. A SaaS application could generate social updates from activity inside the application. Automation platforms could use the API to connect other services to the VidSyndicate publishing pipeline.

That's why getting the private GPT prototype working was important.

It wasn't really about building a private GPT.

It proved that VidSyndicate can act as the publishing layer between AI, applications and multiple social networks.

Now we can take what we learned from the prototype and start working toward OAuth and a true multi-user GPT integration.

VidSyndicate: https://vidsyndicate.com

When I started building VidSyndicate, I thought the difficult part would be writing the integrations.

It wasn't.

The bigger challenge has been getting permission to actually use them.

VidSyndicate started as a fairly simple idea: upload content once, prepare it for different social networks, and publish it across multiple platforms without spending an hour jumping between websites.

Then I started connecting the APIs.

Some platforms were surprisingly straightforward. Pinterest and LinkedIn were relatively painless. YouTube was also one of my first approvals and initially went smoothly.

Then I added more advanced functionality.

I've now been through more than 10 Meta App Reviews and roughly the same number of TikTok reviews. When I added YouTube Live, the approval process suddenly started feeling a lot more like Meta.

There have been rejected screencasts, requests for additional explanations, test accounts, OAuth verification, permissions that depend on other permissions, and features that worked perfectly in development but couldn't be released until somebody at the platform approved them.

Eventually, though, the approvals started adding up.

And that taught me something important about building a product that depends on third-party platforms:

The API documentation is only half the integration.

You also have to design around permissions, platform policies, rate limits, review processes, changing requirements, and what happens when a connection stops working.

That has influenced how I'm building VidSyndicate now.

Instead of simply trying to support as many networks as possible, I'm focusing more on making each integration useful and reliable. Publishing is only one part of it. Scheduling, analytics, comments, connection health, retries, and eventually deeper workflow automation are just as important.

The goal is still the same one I started with:

Create the content once and spend less time distributing it.

VidSyndicate is still very early, and I'm learning quite a bit as I build it in public.

If you've built a SaaS that depends heavily on third-party APIs, I'd be interested to hear which platform gave you the biggest headache.

https://vidsyndicate.com