Public Evidence Lab / Dossier O-1492
Developers using Gemini, OpenAI, or other AI APIs need real-time credit-balance visibility and over-spend alerts so small credit balances are not burned through unnoticed.
First seen 2026-06-04 · Last updated 2026-10-28 · 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: Ask HN: My Gemini bill shot up suddenly to 2500 USD in one day
Ask HN: My Gemini bill shot up suddenly to 2500 USD in one day
Post title: [TLDR] claude spawned 116 subagents to review a simple candy store website. 🤦♂️ wth Claude [via r/ClaudeAI]
100% of all my credits on the first night I purcha…
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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.