The Pipeline

Drip Code runs every piece of content through four automated stages. Each stage hands its output to the next, so a single scraped outfit becomes a finished, captioned, posted video with no manual steps in between.

Stage 1 — Asset Onboarding

• Apify scrapes outfit posts from the Instagram profiles you selected.
• The images are saved to your Google Cloud Storage bucket.
• An asset record is created in the database for each look.
• Trigger: manual or scheduled.

Stage 2 — Content Processing

• Claude (Anthropic) analyzes each outfit’s aesthetic.
• It writes a master caption plus platform-specific variations for Instagram, TikTok, YouTube, and X.
• Relevant hashtags are generated alongside the captions.

Stage 3 — Video Generation

• A photorealistic still of your character in the outfit is generated from the character’s reference images.
• That still is sent to FAL.ai (Seedance), which generates a short vertical (9:16) 1080p video from it.
• The finished video is saved to Google Cloud Storage.
• Time: roughly 30–90 seconds to generate per video.

Stage 3 runs on FAL.ai’s Seedance image-to-video model. If you have a review step enabled, generated videos land in your dashboard queue for approval before Stage 4.

Stage 4 — Auto-Posting

• The video is posted to every platform you’ve enabled, in parallel.
• Each platform gets its optimized caption and hashtags.
• A post record is saved so the activity shows up in your dashboard.

Pipeline settings

From your dashboard you can control how often the scraper runs, your posting schedule, and whether a manual review gate sits between generation (Stage 3) and posting (Stage 4). With review enabled, nothing posts until you approve it in the queue.

Running into a snag? See Troubleshooting.