CLUSTER INTERNSHIP-JOB-STUDENTS · 5 ENTRIES · EARLIEST ENTRY 2026-08-18
Student job scam detection platforms
This cluster consists of web platforms that help students assess and verify internship and job offers for fraud risk. The cluster's dated history is too thin to read a shape from, with only one entry before the index start. Traction leaders, all with zero stars, include OFFERSHIELD, ScamHire, and GuardGrad, indicating minimal observable activity.
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 · 4 hobby · 1 indie
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.
- 01Trustlens0★5 days—hobbyWeb platform that detects recruitment scams and fake job postings, verifies recruiters and companies, and flags fraudulent websites for job seekers.
- 02GuardGrad0★1 mo—hobbyWeb platform for students that detects job and internship scams, maps career paths, and manages attendance.
- 03OFFERSHIELD0★1 molivehobbyWeb app that helps Indian students verify job and internship offers and identify fraudulent ones.
- 04offercheck0★1 moliveai-builthobbyWeb platform that assesses risk in internship, job, and placement offers by analyzing submitted details for scam warning signs, for students.
- 05fraud-detection-legacy-sis0★4 moliveindieSaaS tool that integrates with student information systems to detect and prevent financial aid fraud at higher education institutions.
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.