Generator · 100% free, no signup · Updated May 2026
Figure out exactly why a post went viral — and reuse it.
A free template for analyzing why a post went viral. Inputs: post copy + metrics. Outputs: which of the 7 virality drivers (hook pattern, format match, timing, audience overlap, controversy, novelty, social proof) most likely caused the spike, plus 3 repeatable patterns to apply in upcoming posts.
Paste a post that overperformed + the metrics it hit. The template outputs a structured autopsy: which of the 7 virality drivers (hook pattern, format match, timing, audience overlap, etc.) most likely caused the spike, and 3 repeatable patterns to apply in future posts.
The viral post
Multiplier over baseline
10.6×
Top virality drivers
Hook pattern (curiosity / contrarian / story)
80Your hook uses a high-conversion pattern (curiosity gap, contrarian frame, or story arc).
Stakes / emotional weight
80Real stakes (loss, failure, vulnerability) compound shares 2-3×.
Data drop (number / time / proof)
75Specific numbers carry conviction. Often dominates the autopsy diagnosis.
Format match (post type vs platform)
65Hard to score without platform — assume moderate. Match each platform's native format.
3 repeatable patterns
- → Apply "Hook pattern" to your next 5 posts on the same platform.
- → Combine "Hook pattern" with "Stakes / emotional weight" — they fire together in your top posts.
- → Document the specific opening line / number / story-shape that worked. Reuse the structure (not the literal content) across 3 follow-up posts within 14 days.
Who this is for
Creators who occasionally go viral but can't replicate it because they never analyze what worked.
The problem this solves
Most virality is interpreted as luck. Creators see a 100k-view post, celebrate, and post something different next week. The autopsy forces analysis: which lever did the heavy lifting? Hook? Timing? Format? Without this audit, creators never compound learnings from their best posts.
Creators who systematically autopsy their top-performing posts (>3× their average) produce 2-4× more high-performing follow-up posts within 90 days than creators who treat virality as luck.
Source: Sprout Social Creator Patterns Study 2024 + Tubular Labs Top-Creator Cohort Analysis
How to use it
- 01
Paste the post
Caption / opening line / topic.
- 02
Enter the metrics
Views, save rate, share rate, comment rate — wherever you can pull from analytics.
- 03
Get the autopsy
Diagnosis: which of 7 virality drivers fired hardest.
- 04
Get the repeat-pattern
3 specific moves to apply to your next 5-10 posts.
What you get
- ✓ Structured autopsy of why a post worked
- ✓ 7 virality drivers diagnosed
- ✓ 3 repeatable patterns to apply next time
- ✓ Pattern bank to revisit quarterly
Frequently asked
What counts as a "viral" post for autopsy?
Anything that performed 3× your usual baseline. Doesn't need to be a million views — for a creator averaging 2k views, a 10k view post is autopsy-worthy. Outlier-relative-to-you is what matters.
What are the 7 virality drivers?
Hook pattern, format match (right content type for the platform), publish timing, audience-graph overlap (right people boosting at the right time), controversy or contrarian angle, true novelty, and social proof bandwagon. Most viral posts hit 2-3 of these — the autopsy identifies which.
Why not just keep posting and let virality happen?
Random variance accounts for some virality, but pattern recognition compounds. Creators who autopsy turn a 1-in-50 viral post into 1-in-10 because they've identified what their audience actually rewards.
Should I autopsy posts that underperformed too?
Less useful — underperformance has too many causes (timing, algorithm noise, audience saturation). Focus autopsies on outlier-strong posts where the signal is clear.
How often should I autopsy?
After every post that hits 3× your average. Quarterly, review the pattern bank to spot the meta-pattern across 5-10 autopsies.
Related tools
Author + maintainer
Adrian Berisha — Founder of Clipflow. Indie SaaS builder shipping creator tools full-time since 2024. All tools and benchmarks on this page are reviewed quarterly. Last review: May 2026.
@clipflow on X · LinkedIn · hi@clipflow.to
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