Comprehensive Tutor Management software that generates AI-powered student reports, automates scheduling, payments, and admin tasks.
AI powered tutor management software
Comprehensive Tutor Management software that generates AI-powered student reports, automates scheduling, payments, and admin tasks.
Hello Product Hunt! We are excited to launch Wise, a tutor management software that creates AI-powered student performance report and manages scheduling, invoicing, learners, tutors - at scale. My Story I have spent a decade as a tutor before starting Wise in 2020. During this time I tutored over 1500 students for test prep. When I started teaching online, I realized it can be really complicated - juggling between so many different apps for just one single session. Managing this for 20 tutors wa
We're thrilled to finally launch🚀. The pain points of scheduling and admin are real. This AI-powered solution would make a huge difference in helping tutors manage their business more effectively and ultimately benefit their students✨.
I have been mentoring students for 5 years and I have explored tons of LMS products but this one stands out. I always make sure that mentorship is personalized for each student and this looks like a great first step towards AI enabled personalization. Exciting times ahead. All the best to @Wise
Congrats on the launch! This looks like a powerful tool for tutors—really impressed by the automation and AI-driven reports. 👏📚
Been looking for a good LMS to run my live classes and courses for a while now — most of them were either too complicated or just didn’t do the things I needed. Tried Wise recently and honestly, it’s been a breath of fresh air. It’s super simple to use, and does all the things that actually matter — scheduling classes, reminding students, tracking attendance, and the AI reports it creates for students and parents are just so neat. Feels like someone really thought about what teachers actually ne
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.