Opportunity ledger / Dossier O-0517
Recurring need documented in 2 independent public source items.
First seen 2026-07-19 · Last updated 2026-07-20 · Recalculated daily
Trend factor ×1.0, capped at 2.0.
Post title: Android studio - how to disable timeout with self-hosted models if they need more than 10 minutes for a task. Error: Stream failed
It feels like there is some sort of an internal, 1…
The public layer keeps only a minimal excerpt. Open the source for full context.
Post title: Is Local AI Coding Actually Good?
This issue is related to how Copilot chat interacts with the LMstudio/Ollama and the model. Even though the copilot chat gets the response it was not able to decode the response somehow and was throwi…
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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.
“Evidence-backed” means the problem appears real, recurring and connected to spending. It does not mean the business is worth building. Read the full methodology.