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Post memory: how Recall handles posts
How Flocci Recall saves and understands posts: where they come from, what AI extracts, and the kind of fuzzy query that finds them again.
Recall treats posts as a first-class content type with their own accent colour, their own filter chip and their own enrichment path. The post's own caption is preserved verbatim, and the AI layer adds topics, entities and keywords around it so a post is findable by what it was about, not just who wrote it. Once a post is saved you can find it by describing it — the summary, key takeaways, topics, entities and bilingual keywords are all searchable.
Where posts come from
Recall files a save as a post when it arrives from LinkedIn, Instagram posts, Facebook, Threads.
- Instagraminstagram.com/reel/…
- Facebookfacebook.com/… or fb.watch/…
- Threadsthreads.net/@user/post/…
- LinkedInlinkedin.com/posts/…
- Redditreddit.com/r/…/comments/…
- X (Twitter)x.com/user/status/…
What Recall builds around a post
The post's own caption is preserved verbatim, and the AI layer adds topics, entities and keywords around it so a post is findable by what it was about, not just who wrote it.
Queries that find posts again
These are the shapes of query Recall is built for — vague, human, and about meaning rather than metadata.
- “the LinkedIn post about hiring without resumes”
- “that post with the funding announcement”
- “post where she explained the GST change”
The honest bit
Posts keep their author and publisher fields, so 'that thing X wrote' is a searchable angle.
Questions about posts in Recall
How does Recall know something is a post?
From the URL and the content itself, before any AI runs. Post detection sits in a deliberately ordered signal list so more specific rules win — and where a fact is available, such as a file extension or the absence of a URL, the fact beats any AI inference.
What does Recall extract from a post?
The post's own caption is preserved verbatim, and the AI layer adds topics, entities and keywords around it so a post is findable by what it was about, not just who wrote it.
What can I search for to find a post again?
Describe it. Real queries that work include "the LinkedIn post about hiring without resumes", "that post with the funding announcement", "post where she explained the GST change". Recall interprets the description into concepts, ranks your whole library, and narrates what it found in one sentence.
Is anything about posts handled differently?
Posts keep their author and publisher fields, so 'that thing X wrote' is a searchable angle.
Related guides
- Save from Instagraminstagram.com/reel/…
- Save from Facebookfacebook.com/… or fb.watch/…
- Save from Threadsthreads.net/@user/post/…
- Recall vs the alternativesTwelve factual comparisons
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