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
The API makes VidSyndicate feel less like a social publishing tool and more like infrastructure other products can build on. The OAuth step seems like an important transition point for that broader use case.
I agree. I think the direction could serve both.
One use case is the everyday user who wants a simple dashboard to publish their videos across multiple platforms. That could be a content creator, realtor, lawn care company, local business, or literally almost any business that uses social media.
The second use case is developers and companies that want to add social publishing to their own product or workflow. Instead of building, maintaining, and managing separate integrations with every social platform, they could use the VidSyndicate API as the publishing layer behind their application.
That second use case is where I think OAuth becomes especially important. VidSyndicate can still be a standalone product, but it can also become infrastructure that other products build on.
The infrastructure angle is definitely the more interesting one. If you’re pursuing both, I’d be curious which side you expect to become the stronger business over time. If you’re open to continuing the conversation, what’s the best email to reach you at?