How Anirudh Parmar's Personal Site prepared their website for AI search
> 21 year old, developer and entrepreneur building Apps that are useful to others. Documenting my journey of success. - [Portfolio](/): Full-stack developer sho
Anirudh Parmar’s implementation serves as an insightful case study in building a SaaS product with modern technologies like Next.js and tRPC. Readers can gain valuable insights into integrating AI in educational applications and the development process behind successful web solutions.
Key Insights
Focused approach
A streamlined 4-section structure keeps things simple and scannable.
Two-file approach
Uses both llms.txt and llms-full.txt for different AI use cases.
llms.txt Preview
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# Anirudh Parmar's Personal Site
> 21 year old, developer and entrepreneur building Apps that are useful to others. Documenting my journey of success.
## About Anirudh Parmar
- [Portfolio](/): Full-stack developer showcasing WordGrind SaaS, technical skills in Next.js/TypeScript, and client project experience
- [About](/about): Background in web development, AI integration, and SaaS building with focus on modern tech stack
## Projects & Work
- [WordGrind](/projects/wordgrind): Vocabulary learning SaaS built with Next.js, tRPC, and AI integration
## Technical Content
- [All Blogs](/blog): Blogs on experiences and learnings
## Optional
- [Social Media](/): X to share learning, openions, ideas, thoughts, work, coding, entrepreneurship, development and engineering
- [Contact](/): Get in touch for collaboration or consulting opportunities
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