Write once. Postlore adapts your content for every platform and learns from every post - so each week outperforms the last. Real A/B tests (not vibes), a feedback loop that compounds, and agency-grade tools - approvals, white-label reports, competitor signals - built in.
Here's the thing that bugged me about every scheduler I'd used: they post, but they don't remember. You publish, you check the stats a week later out of habit, and none of that ever makes it back into the next caption you write. Buffer and Hootsuite are great at the "post" part. They're blank slates on the "get better" part.
Postlore treats every post you publish as a data point, not a one-off. It pulls real engagement back from each platform, tags it, and feeds that into the next AI generation call, so if bilingual captions are quietly outperforming English-only ones for your audience on Tuesdays, Postlore notices and acts on it instead of you finding out by accident three months later. It's event-driven, runs when you publish or when analytics come in.
A few other things I cared about building this:
• Global from day one, localized billing (Stripe, and Paystack where relevant), multilingual captions, regional event calendars. • A real free tier so you can see the learning loop work before paying for it. • Built for the people schedulers usually treat as an afterthought - solo founders, agencies juggling clients, creators - not just enterprise social teams. Agencies get a portfolio view across every client plus white-label reports they can hand off directly.
I'll be in the comments all day answering questions. Thanks for taking a look.
@jojoh This is such a smart approach! I especially like the idea of the feedback loop that actually learns from every post instead of just repurposing the same content everywhere. Good luck George!
Hello 👋,
I'm George, the maker behind Postlore.
Here's the thing that bugged me about every scheduler I'd used: they post, but they don't remember. You publish, you check the stats a week later out of habit, and none of that ever makes it back into the next caption you write. Buffer and Hootsuite are great at the "post" part. They're blank slates on the "get better" part.
Postlore treats every post you publish as a data point, not a one-off. It pulls real engagement back from each platform, tags it, and feeds that into the next AI generation call, so if bilingual captions are quietly outperforming English-only ones for your audience on Tuesdays, Postlore notices and acts on it instead of you finding out by accident three months later. It's event-driven, runs when you publish or when analytics come in.
A few other things I cared about building this:
• Global from day one, localized billing (Stripe, and Paystack where relevant), multilingual captions, regional event calendars.
• A real free tier so you can see the learning loop work before paying for it.
• Built for the people schedulers usually treat as an afterthought - solo founders, agencies juggling clients, creators - not just enterprise social teams. Agencies get a portfolio view across every client plus white-label reports they can hand off directly.
I'll be in the comments all day answering questions. Thanks for taking a look.
RunEvr
@jojoh This is such a smart approach! I especially like the idea of the feedback loop that actually learns from every post instead of just repurposing the same content everywhere.
Good luck George!
@adana Thanks for your support
@jojoh Hey George , thanks for the fellow. Do you have a YouTube demo of how this works in the real world or one must try it to discover?
@richatsealedvault Hey Richard, thanks for the question, there are some videos on the YouTube channel, example launch demo, content adaptation and insight page from a user which shows the system has learnt from their posts :-)
@jojoh Thanks the video links
@jojoh Thanks for sharing the links.
Very interesting product with Canva in the loop