Test OVERRATED vs UNDERRATED format on model+workflow combos

Hypothesis

We hypothesize that applying the OVERRATED / UNDERRATED binary frame to specific model-plus-workflow combinations (e.g., 'Claude Code + swarm: OVERRATED for X, UNDERRATED for Y') will increase reply_to_like_ratio by at least 25%, because the oppositional structure forces readers to pick a side and defend it, converting passive likes into active replies.

Reasoning: Your reply_to_like_ratio is already a strong 0.498, suggesting your audience leans conversational; your double_down list names the OVERRATED/UNDERRATED format on niche combos explicitly, so this experiment tests whether formalizing that frame into the hook itself pushes the ratio even higher.

Predicate

{
  "prefixes": [
    "OVERRATED:",
    "UNDERRATED:",
    "OVERRATED vs UNDERRATED \u2014",
    "Hot take (bukan hype):"
  ]
}

Timeline