For podcast producers with deep archives
Recontexter watches what’s trending today and finds the stories your archive already told — then helps you stage, publish, and edit them into something new.

You’ve already done the hard work once. Recontexter assumes every minute of it is story material, waiting for the moment it becomes relevant again.
Trend-aware dashboard
Recontexter watches today's news and trends, then matches them against your indexed back catalogue so older episodes resurface at the exact moment they become timely again.

Story collections
When a trend lands, jump into a side-by-side review: the trend signal on the left, candidate story sections on the right with relevance scores and accept-into-collection chips.

Deep-dive explore
Type a name, a period, a song — Recontexter expands the query into related gists, tags, and themes, then ranks story sections by how closely they answer it. Click a chip and the search recontexts itself.

Audio + video editor
The intelligent editing suite lets producers shape AI-picked moments into short-form audio and video — transcript-aligned cuts, waveform scrubbing, and a live preview that matches the artwork and aspect ratio of the destination.

Publish anywhere
Every collection has a parallel video output: same story stack, same stories, ready as 9:16 shorts for Reels, TikTok, and YouTube. The editing suite handles caption burn-in, transitions, and stings.

Private workspace
Recontexter indexes the archive in minutes, then keeps watching what’s happening now so the right story rises when it matters.
“I’d sat on 412 episodes for three years. Recontexter found the stories that were suddenly relevant, then helped us turn them into a new feed and social shorts.”— Beta podcaster, rock history show