One URL in,
ten posts out.

The Repurpose Engine accepts three source types out of the box:

• Blog posts and articles — paste any URL. We follow redirects, extract the article body, strip nav and ads, and pull the canonical Open Graph metadata (title, description, hero image).
• YouTube videos — we use the video's oEmbed metadata plus the auto-generated transcript (when available) so the post body reflects what was actually said, not just the title.
• Podcast episodes — paste the episode page URL. We transcribe the audio with Whisper, capture the timestamps, and feed the transcript into the generator with the episode metadata.

One quota: every repurpose run consumes from the same posts-per-month bucket as a regular AI generation, so you never have to track two limits.

One paste produces a full week of social. Each post is tuned to the platform it's for:

• Instagram — visual-first captions with hashtag clusters, hook lines optimized for the first two lines (where the “more” truncation happens).
• X (Twitter) — single posts inside the character limit AND threaded multi-post breakdowns when the source justifies it.
• LinkedIn — long-form takeaways with structured paragraphs, framed for the professional-context feed.
• Facebook — conversational, community-leaning, with a natural-language CTA at the end.
• Threads — punchy, reply-bait, shorter than X but wider than LinkedIn.

Your Brand Kit (colors, voice references, vocabulary preserve and ban lists) and your saved content preferences thread through every generation, so the posts read like you wrote them — not like a generic LLM did.

Repurpose isn't a paraphrase pass. The pipeline runs the source content through the same closed-loop generator that powers /api/generate-content, with three context layers stacked into the prompt:

1. Brand context — voice references, sample posts, preserved terms (your product / brand names), forbidden terms (competitor names, off-limits topics).
2. Content strategy — your audience persona, content pillars, voice references, KPI focus, posting cadence (captured once during onboarding, editable from BrandKit and Settings).
3. Closed-loop signal — your top three and bottom two posts of the last 30 days are distilled into a brief that biases the rewrite toward what your audience actually rewards.

Net effect: a podcast episode you spent an hour recording becomes a week of posts that compound toward your real audience instead of a week of posts that read like everyone else's.

The repurpose problem has two existing solutions, both worse than owning the loop end-to-end:

• Repurpose.io ($20+/mo) does the URL-to-many-posts dance, but it's decoupled from your scheduling, your brand kit, and your engagement history. You re-paste your brand voice every time and you don't feed performance back to the generator.
• Pasting into ChatGPT is free but every prompt forgets your voice, your audience, and what worked yesterday. Each rewrite is a fresh roll of the dice.

Drifter's Repurpose Engine is built into the same workflow as generation, scheduling, and analytics — so the posts that come out of it land on the calendar, ship to your platforms, and start feeding the same closed-loop signal that improves the next batch. One tool, one bill, compounding output.

1. Paste the URL into the Repurpose tab in the dashboard. Pick which platforms you want and how many posts per platform.
2. Watch the extraction. A branded shimmer shows progress while we fetch metadata, transcribe (if needed), and prepare the source.
3. Review the draft batch.Each post gets a hook-strength score and lands in the same edit modal as a regular generation.
4. Approve and schedule.Drop the batch into the calendar at Gold Slots, hand it to Auto-Pilot, or one-click publish a single post on the spot.
5. Closed loop kicks in. The same analytics worker that watches the rest of your posts watches these too. Patterns from your repurposed content feed the next generation.

The repurpose route is deliberately scoped. Things that look like features but we explicitly avoid:

• No verbatim copying. Every output post is rewritten in your voice. The source content is reference material, not the published text.
• No paywalled content. The extractor honors paywalls and won't bypass them. Paste a URL you already have legitimate access to read.
• No silent attribution drop.For YouTube and podcasts, the generator includes attribution lines in the post by default (you can edit them out in review).

The URL you paste, the extracted text, and the generated posts are stored only in your account. We don't train any cross-customer model on the source content or the output. Whisper transcription runs through OpenAI's API with their no-training-by-default contract; the audio is not retained after the transcript returns.

Full data-handling detail lives on the security page.