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Mastery Pathing

Map prerequisites, track mastery and recommend the next topic each learner is ready for.

Latest metrics (snapshot 2026-10-28)

version1.0.1
updatedAt2026-10-27T12:16:28.304891Z

History

Dateversion
2026-10-281.0.1

ADC Momentum: 39/100

ADC Momentum 39 Leaderboard

Growth velocity42
Consistency0
Recency100
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

idai.saifs/mastery-pathing
descriptionMap prerequisites, track mastery and recommend the next topic each learner is ready for.
urlhttps://saifs.ai
repositoryhttps://github.com/Saify-Technologies/saifs-ai-mcps-docs
remotesstreamable-http https://mastery-pathing-mcp.saifs.ai/mcp
publishedAt2026-10-27T12:16:28.304891Z

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