Opportunity ledger / Dossier O-3084
Recurring need documented in 2 independent public source items.
First seen 2026-08-18 · Last updated 2026-10-02 · 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: The AI review that said "looks good, solid implementation" and approved a bug that took down production three days later
Comments were reasonable-sounding: a naming sugges…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Ask HN: How do you review and validate LLM generated code?
Every time you ask a model to review some piece of code, it comes back with different "findings". So, you still have to filter through the noise of their findings to get to actual defects.
What this evidence does not show yet
To reach Corroborated 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.