Developer filters 5,718 NVIDIA articles down to 161 using a 5-stage pipeline

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A developer building a personal NVIDIA news alert system discovered that over seven days (August 30–September 5, 2026), roughly 5,718 articles mentioned the company — around 817 per day. Using the APITube news API, a five-stage filtering pipeline reduced that volume to just 161 relevant alerts, or about 23 per day. The experiment revealed key blind spots: searching only by headline captured less than 30% of total coverage, while entity recognition alone missed 180 articles that explicitly named NVIDIA in the title. Additionally, only 31.6% of all coverage was in English, and about 12.5% of filtered results were near-duplicate republished stories. The developer concluded that reliable company news monitoring requires combining both headline search and entity resolution, rather than relying on either approach alone.

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