Public Evidence Lab / Dossier O-2665
Collected sample: 7 independent content items across 2 source families. Known publication dates: 2026-08-11 — 2026-10-14.
First seen 2026-08-11 · Last updated 2026-11-10 · Recalculated daily
These observations describe collected samples, not platform-wide prevalence; they cannot establish whether a problem is widespread or accelerating. Collection scope changed on 09-16 and 09-27; monthly counts must not be read as trends.
Post title: What's the best way to train an LLM to use your own voice?
I want my LLMs to write like I do. Telling it "don…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: AI humanizer vs manual editing: am I the only one who prefers doing the last 10% myself?
Getting an AI draft from terrible to decent can ha…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: I stopped trying to humanize AI and started editing it like a rough draft
I kept getting this weird middle ground where the …
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Why does every AI humanizer seem to have the same idea of “human” writing?
Sometimes I'll take an AI-generated paragraph, run…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Humanize AI text is easy. Making it sound like you is the hard part.
It would be something that learns how a particular…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Show HN: WriteLikePG – improve your writing using Paul Graham's principles
did you finetune a model for this? i have been trying to get models to get my voice right for years to no avail
Post title: Soy del nicho huerto,como crezco rapido?
Mi mayor problema es a la hora de expresarme ya q …
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
To reach Payment-backed we still need:
No first-hand payment statement is on record here, so this page carries no pricing suggestion. A price with no payment evidence behind it is a guess wearing a number.
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Scoring summary
Evidence confidence = strength × evidence volume × source diversity × payment × competition × trend × 10. Counts use independent content items; only first-hand pain, current spend, explicit willingness to pay and concrete feature requests affect the score. Repeated posts by one author are discounted. Scoring and status changes follow deterministic rules.
“Payment-backed” means first-hand payment evidence exists in the record. It does not mean the business is worth building. “Fading” is a recency tag shown alongside any evidence level, not a lower level. Read the full methodology.