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English Placement Suite
Adaptive CEFR testing that measures cognitive load
Traditional tests measure accuracy, but ignore effort. This suite measures automaticity. Using a vanilla JS adaptive engine and Log-Likelihood Ratios (LLR), it navigates 24 CEFR sub-levels in real-time. By analyzing response latency, it identifies a "Cognitive Ceiling"—the point where mental effort peaks even if answers remain correct. Features: • Adaptive A1–C2.2+ ladder • Distinguishes lucky guesses from mastery • Open-source & privacy-first
“Adaptive CEFR testing that measures cognitive load”
English Placement Suite was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #676 on the daily leaderboard. Traditional tests measure accuracy, but ignore effort. This suite measures automaticity. Using a vanilla JS adaptive engine and Log-Likelihood Ratios (LLR), it navigates 24 CEFR sub-levels in real-time. By analyzing response latency, it identifies a "Cognitive Ceiling"—the point where mental effort peaks even if answers remain correct. Features: • Adaptive A1–C2.2+ ladder • Distinguishes lucky guesses from mastery • Open-source & privacy-first
Who hunted English Placement Suite?
English Placement Suite was hunted by Anthony Watkin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Anthony Watkin