Comment "LEAK" and I'll send you the prompt. Someone just leaked Fable 5's system prompt. Now you can run it for almost free. Most people think the model is the magic. Half of it is the system prompt. That prompt is now free to use. Inject it into Opus 4.8. One line of code. Output is 90% identical. Like getting the recipe instead of dining out. Same dish. Fraction of the cost. Frontier-level output. Budget model price. Already live on GitHub. #fable5 #opus48 #github #aiprompts #aitools
@jackroberts___Watching it in its original place is always the most accurate source.
A multiplier needs two things: a trustworthy publish date and a duration. At least one is missing on this record (on Instagram the publish date is often just the collection time) — so we are not making a multiplier up.
Why this video worked
Every line below is computed from this video’s own numbers. No guesses, no filler.
- High engagement: 9.0%
Engagement rate 9.0%. Likes plus comments divided by views — it means viewers did more than just watch.
The numbers
All of it comes from the API. If a value is missing you see a dash — nothing is estimated in its place.
📈 Growth history
The real view record that builds up as we measure the video again and again.
Only a small share of the videos in our pool have more than one real measurement. This one was measured once (or always at the same value) — rather than drawing a meaningless flat line, we say so.
A free scorecard derived from this video’s own numbers — separate from the AI Lab, costs no tokens.
🔍 Deep Analysis
Open this video with AI
The numbers above tell you how well the video is doing. The AI Lab looks inside it: it reads the opening frame, the edit and the sound, and answers “how would you do this”.
- Hook score (0–10) and why it stops the scroll
- First 3 seconds — opening frame and composition
- Why it went viral — one clear answer
- Edit / structure — how the video is built
- Target audience + music/sound strategy
- Actionable recipe — step by step, how you catch it
After the analysis you can ask follow-up questions about the same video.