About
CoachingOS is a working, live SaaS product built specifically for small and medium coaching institutes in India (20-2000 students). It's an AI-powered management platform that handles the daily operations of a coaching centre — students, attendance, fees, tests, and parent communication — with an AI orchestrator that proactively suggests actions instead of just showing data. KEY FEATURES: • Student management with parent linking • Batch management (class + subject + teacher + schedule) • Digital attendance (30 seconds for 40 students) • Prorated fee calculation for mid-month joins • PDF fee receipts • AI Test Generator (exact marks validation) • AI Lesson Plans • AI Performance Analysis (at-risk detection with evidence) • WhatsApp fee reminders (Hinglish/Hindi/English) • AI Daily Scan — proposes tasks, human approves • Admissions CRM • Onboarding checklist • Referral system with 30-day trials TECH STACK: - Next.js 14 (App Router) + TypeScript - Supabase (PostgreSQL + Auth + Storage + RLS) - Tailwind CSS - Groq API (Llama 3.3 70B) for AI - Deployed on Vercel WHAT'S INCLUDED IN SALE: - Full source code (GitHub repo) - Supabase project (database + auth) - Vercel deployment - Domain (if transferred) - All IP rights CURRENT STATUS: - Live and functional - 3 real institutes using it (free tier) - Pre-revenue - Ready for a buyer to monetize NEXT STEPS FOR BUYER: - Convert existing users to paying customers - Launch marketing (Instagram/LinkedIn/WhatsApp) - Add WhatsApp Cloud API integration - Scale to other regions REASON FOR SELLING: I need funds for personal reasons and can't dedicate full time to marketing this product.
Comments (5)
sounds fancy, but what’s the tech stack behind this? can it actually handle 2000 students without crashing?
pricing seems off for the features offered, not sure it fits the market well.
great fit for small institutes. really simplifies management tasks.
finally, a tool that might save coaching institutes from drowning in admin tasks. about time!
AI for coaching institutes sounds interesting. What tech stack are you using for the architecture?
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