Opportunity ledger / Dossier O-1652
Recurring need documented in 2 independent public source items.
First seen 2026-07-31 · Last updated 2026-09-14 · Recalculated daily
This dossier's trend factor is 0.5, capped at 2.0.
Post title: Ask HN: What are you using for LLM inference in production?
I eventually settled on Gemini 2.5 Flash Lite as my workhorse, using it against structured data/vectors as a chatbot. It was cheap, good enough, and most importantly, fast - but it's now being sunset …
Post title: LLM recommendations for chat agent
I see a lot of new open source LLMs for coding and…
The public layer keeps only a minimal excerpt. Open the source for full context.
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.