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CodeFast
✓ verifiedPaid
Beginner-friendly online course teaching entrepreneurs to build and launch a real SaaS in about 14 days using web basics and AI.
53K visits/mo
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Infinilearn
✓ verifiedFreemium
Free multiplayer math RPG for grades 5-9 where solving problems powers battles, with dashboards for parents and teachers.
3.3K visits/mo
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DataCamp
✓ verifiedFreemium
Interactive online platform for learning data science and AI skills.
5.6M visits/mo
Pricing
No public pricing
Free: $0 (full game, no ads)
Premium: $9.99/mo or $79.99/yr (family insights, unlimited children on dashboard)
No public pricing
Basic: Free
Premium: $14/month billed annually
Teams: $14 per user /month billed annually
Core features
- ✦~12 hours of structured video lessons
- ✦Web fundamentals (HTML, CSS, JavaScript)
- ✦Build a real SaaS with Next.js, React, Tailwind, MongoDB
- ✦Authentication (magic link, Google OAuth)
- ✦Stripe and LemonSqueezy subscriptions
- ✦Deployment, domains, DNS and hosting
- ✦AI-assisted coding and design, Git/GitHub
- ✦Multiplayer RPG built around grade-level math
- ✦Quests, battles and gear tied to solving problems
- ✦Parent and teacher dashboards with mastery data
- ✦Standards, traditional or custom topic paths
- ✦Safe multiplayer play with no ads
- ✦Weekly newsletter with high-quality insights
- ✦Deep dives into ML topics
- ✦Tools used by Machine Learning engineers
- ✦ML System design course (coming soon)
- ✦YouTube channel (coming soon)
- ✦Archive of past articles
- ✦Interactive courses and coding challenges
- ✦Skill and career tracks
- ✦DataCamp Workspace for data analysis
- ✦Skill assessments
- ✦Certifications
Use cases
- →Learn to code as a founder
- →Build and launch a first SaaS
- →Ship an MVP quickly
- →Add payments and auth to an app
- →Making math practice engaging for grades 5-9
- →Tracking student mastery for teachers
- →Supporting homeschool and family math learning
- →Upskilling as a Machine Learning engineer
- →Learning about ML systems at scale
- →Staying updated on the latest ML tools and techniques
- →Understanding ML system design principles
- →Learning Python, R, SQL, Power BI, and Tableau
- →Upskilling in data analysis, data engineering, and machine learning
- →Preparing for data science and analytics careers
- →Team training for data literacy and AI skills
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