Opportunity ledger / Dossier O-0311
Users who buy AI credits need ways to track consumption, forecast costs, and avoid unexpected overspending.
First seen 2026-07-15 · Last updated 2026-08-31 · Recalculated daily
This dossier's trend factor is 0.5, capped at 2.0.
Post title: Qoder Desktop credit consumption has become insane — 300+ credits for documentation updates, 2,000+ for basic tasks
Qoder Desktop credit consumption has become insane…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Looking for advice from people dealing with high LLM or AI API costs
During that process, I ended up with a much larger…
The public layer keeps only a minimal excerpt. Open the source for full context.
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Evidence linked to this dossier has received 1 human audit. Reviews may confirm or correct the original label. View quality history →
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.