Public Evidence Lab / Dossier O-7835
Collected sample: 6 independent content items across 1 source families. Known publication dates: 2026-09-25 — 2026-11-08.
First seen 2026-09-25 · 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: Just canceled my two Grok subscriptions. Local models are catching up
Just canceled my two Grok subscriptions. Local mod…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Title: Suno kept charging me despite repeated cancellation requests. Now support won't honour its own promise.
For over a year, I've been dealing with unwanted s…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: PSA: Trust me! Stay far away from Grok/bot/XAI!
Ok so xAI is useless, no big deal, why make this p…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: KlingAI makes it nearly impossible to cancel subscription!
I am filing a complaint with FTC & CFPB against Kl…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Z.ai charged me after I cancelled my subscription, and somehow my subscription was re-enabled
I cancelled my Z.ai subscription a week before ren…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: KlingAI is garbage & they make it impossible to cancel subscription. Beware!
Canceled my Kling AI subscription and deleted my a…
The public layer keeps only a minimal excerpt. Open the source for full context.
What this evidence does not show yet
This dossier already carries first-hand payment evidence. What it still cannot tell you: market size, how reachable these people are, or what it costs to acquire them.
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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.