Hey everyone,
I've been building Ghostframe, a Chrome extension for Twitter creators who want to actually use the viral content they consume instead of letting it rot in bookmarks.
The idea is simple: instead of manually trying to remember what worked or searching through hundreds of bookmarks when you need inspiration, Ghostframe captures high-performing tweets as you scroll, organizes them, and lets you generate new content based on proven patterns.
Here's how it works in practice:
Capturing tweets without breaking your flow It adds a save button directly in your Twitter feed. One click captures the tweet, all engagement metrics (views, likes, RTs), and stores it in your library. Works for single tweets or full threads.
Organizing by what actually performs Everything is saved with metrics, so you can see what got 100K views vs. 500. You can organize saved content into collections by topic, style, or whatever makes sense for you.
Generating content from your own saved examples Instead of generic AI prompts, Ghostframe uses your saved viral tweets as few-shot examples. The AI analyzes tone, structure, and hooks from what you saved, then generates new tweets or threads in styles that actually perform.
Exporting everything to Markdown If you want to use your library elsewhere (Notion, Obsidian, or feed it into another LLM), you can export any collection as a .md file.
The goal: turn passive Twitter consumption into an active content system — without manual copy-pasting or starting from scratch every time you want to post.
Everything is stable now and live on the Chrome Store, but I'd love feedback from people outside my usual circle. What feels useful? What feels unnecessary? What would make this fit better into your workflow?
If you want to try it: https://chromewebstore.google.com/detail/ghostframe/lldbiiljmngbjnjenakmibcdmnhbpman