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MarkingLab
AI-powered platform for grading assistance
MarkingLab is an AI-powered grading platform built for educators. Grade post-secondary assessments faster with rubric-driven, personalized and consistent feedback. Upload rubrics and assessment materials, review AI-generated grades and deductions, and maintain human oversight while reducing grading workload and improving fairness.
Hello everyone! I am Meharban, the CTO of MarkingLab.
We built MarkingLab from a problem we experienced firsthand as both former students and instructors.
As students, we saw how much feedback could vary depending on who graded an assessment and how generic it sometimes was. When feedback comes back week(s) later, we would have already moved on to new topics and forgotten the context, making the feedback much harder to act on. As instructors, we experienced the other side: grading dozens of detailed submissions can take hours, making it difficult to provide timely, consistent and meaningful feedback while keeping up with everything else.
We started by exploring how AI could simply make grading faster. But through conversations with instructors and our work validating the idea in a university setting, we realized speed alone wasn't enough. The real challenge was making AI grading consistent, transparent, rubric-driven, and useful to instructors.
That shaped MarkingLab into what it is today: an AI grading assistant that provides personalized feedback, follows the instructor's rubric, explains deductions, and keeps the instructor in control.
We're launching on Product Hunt to get MarkingLab in front of more educators, learn from how they grade today, and continue building this with instructors rather than just for them.
About MarkingLab on Product Hunt
“AI-powered platform for grading assistance”
MarkingLab was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. MarkingLab is an AI-powered grading platform built for educators. Grade post-secondary assessments faster with rubric-driven, personalized and consistent feedback. Upload rubrics and assessment materials, review AI-generated grades and deductions, and maintain human oversight while reducing grading workload and improving fairness.
On the analytics side, MarkingLab competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how MarkingLab performed against the three products that launched closest to it on the same day.
Who hunted MarkingLab?
MarkingLab was hunted by Meharban Singh. 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.
For a complete overview of MarkingLab including community comment highlights and product details, visit the product overview.
Meharban Singh
Hello everyone! I am Meharban, the CTO of MarkingLab.
We built MarkingLab from a problem we experienced firsthand as both former students and instructors.
As students, we saw how much feedback could vary depending on who graded an assessment and how generic it sometimes was. When feedback comes back week(s) later, we would have already moved on to new topics and forgotten the context, making the feedback much harder to act on. As instructors, we experienced the other side: grading dozens of detailed submissions can take hours, making it difficult to provide timely, consistent and meaningful feedback while keeping up with everything else.
We started by exploring how AI could simply make grading faster. But through conversations with instructors and our work validating the idea in a university setting, we realized speed alone wasn't enough. The real challenge was making AI grading consistent, transparent, rubric-driven, and useful to instructors.
That shaped MarkingLab into what it is today: an AI grading assistant that provides personalized feedback, follows the instructor's rubric, explains deductions, and keeps the instructor in control.
We're launching on Product Hunt to get MarkingLab in front of more educators, learn from how they grade today, and continue building this with instructors rather than just for them.