Our summary
Amar Harolikar describes TREMOR's feature for sorting daily news headlines against a reader's interests. Readers can change their saved interests or enter a temporary focus. It matches meaning rather than requiring the headline to contain their exact words; a separate search box still finds exact words.
Each headline becomes a yes-or-no question: would this reader want to read it? Jev's yes probability runs from zero to one; the application converts it to a displayed score from zero to one hundred. Harolikar reports ranking about 800 headlines in two seconds using four calls running at once.
This implementation relies entirely on headline text rather than full article content, meaning misleading titles may skew results. Furthermore, the reported time savings reflect the creator's personal experience rather than independent benchmarks, and the system does not verify factual accuracy.
Key takeaways
- The displayed zero-to-one-hundred score comes from a zero-to-one yes probability; it is an estimate of interest, not factual truth.
- Matching meaning can find related stories without exact words; keep exact-word search available alongside it.
- The maker reports hundreds of headlines ranked in seconds through four parallel calls, not a general speed guarantee for other applications.