CLUSTER ACADEMIC-EARLY-RISK · 5 ENTRIES · EARLIEST ENTRY 2026-02-07
Academic early warning platforms
This cluster comprises analytics platforms that use academic records to flag at-risk students and prompt early intervention. The cluster's dated history is too thin to read a shape from, with only one dated entry before the index start. Among the few tracked members, EduPredict shows the strongest activity signal with 2 stars, while the others have none.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 ai-built · 4 unlabelled
Operator · 1 hobby · 4 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01sidtrac-school-alert0★3 days—Web-based early warning system that monitors student academic, attendance, and psychosocial risk and alerts educators for intervention.
- 02DEEP_EdTech-Educational-Technology-0★9 days—Student success application that helps academic advisors identify at-risk students from learning activity and assessment records and create intervention plans.
- 03EduPredict2★4 moliveai-builthobbyPredictive analytics platform that identifies at-risk students early from academic data to help educators intervene before failure.
- 04earlywarn-project0★1 moliveAnalytics platform for academic institutions that provides early alerts to identify at-risk students.
- 05sitio0★1 moliveAcademic early warning dashboard that visualizes student risk from academic records so schools can intervene early.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.