Would love to see an automation that takes a new upload from one platform and submits it to several channels at once—maybe a scraper that posts to the rest, or connecting Make with Buffer (since TikTok has issues with that). What do you think?
That’s a reasonable idea, but keep in mind that the biggest channels usually avoid using APIs to post because the platforms may soft‑throttle automated submissions; they favor human‑generated content. Personally, I wouldn’t rely on a scheduled API either—I’d have real people post to the fan‑style pages I’ve set up. If you wanted to build it, a simple approach is to drop the raw video into a Google Drive folder, run it through a transcription service (like Whisper) to get the text, then use that transcript to create platform‑specific posts (different character limits for Instagram, Facebook, LinkedIn, etc.). You can add accessory flows to pull images or citations from public sources, and finally push each piece out via the respective platform’s API—similar to what I show in my content‑syndication videos.
I think this is reasonable to try, but keep in mind top channels generally don't submit posts to Instagram/Facebook/Twitter via API — there's a theory that platforms soft-throttle API-submitted content because they want to encourage human-generated posting over machine-generated posting, since they believe (probably correctly) that human content tends to perform better. Nobody's fully confirmed this, so take it as a theory rather than fact, but personally I'm not going to schedule this through an API — I'm going to have real human beings post to all these fan-style pages for me instead.
content distributionsocial media automationalgorithm throttling
My main workflow is repurposing my daily updates onto four or five social media platforms. I’m only using a small fraction of the possible channels—there are about ten other places I could publish. If I built a full publishing pipeline, I’d double my current results. Currently, I record two video streams: one with my face and a comment card (useful for some channels), and another with just my face. I use AI (Whisper) to generate a transcript, then clip the useful chunks, create Q&A content, and also produce straight‑answer videos. I publish these across Instagram profiles, YouTube Shorts accounts, and similar platforms. Feeding the transcript into a model like Astra would perform reasonably well.
I appreciate you pointing that out. It's not a bad idea—we tried TikTok, but it didn't perform; we got no followers, likely due to how we warmed up the accounts. It shouldn't take much time to post across platforms, and it's a free win, so I should probably do it. I think there's probably value there.
Ideal customers are creators who are just starting to standardize their content, have around 10K–100K followers, are at the early stage of exponential growth, and are looking to outsource or work with a team to reduce costs. You can serve them by using a transcript to automatically generate posts for ten social platforms—either fully automated or with a person handling it. To find these leads, scrape Instagram, Twitter, and YouTube for channels in that follower range. For example, use a YouTube scraper with about fifty search terms to get roughly a thousand videos for $5, which corresponds to about six hundred creators. Take the top ten percent (about fifty to a hundred channels), sort them by subscriber count, and then use a YouTube channel scraper to pull contact details from video descriptions—Instagram, website, etc.—giving you Instagram, Facebook, X/Twitter, and LinkedIn profiles. With those contacts, take one of their long‑form YouTube videos and use your system to create customized content for each platform at a marginal cost of just a few cents. Finally, run personalized outreach based on the video or another asset, ensuring each message includes some level of customization.