u/Dark_Mine_

Hi everyone,

I'm a 19-year-old Computer Science student from India, and for the past several months I've been building an AI infrastructure platform.

The project started as a learning exercise but has grown into something much bigger than I initially expected. It's a local AI runtime and orchestration platform focused on running multiple LLMs efficiently, semantic expert routing, model scheduling, memory management. I'm currently building a dashboard, SDKs, deployment tools, and enterprise features.

My goal isn't just to build another chatbot. I want to build infrastructure that developers and businesses can use to deploy and orchestrate AI models.

I'm now at a point where I'm wondering whether I should start thinking like a founder instead of just an engineer.

Some questions I'd love advice on:

• How do I know whether this is actually a startup and not just an interesting engineering project?

• At what stage should I start talking to investors or accelerators?

• Should I first focus on getting users before worrying about company registration and funding?

• If you were starting an AI infrastructure company today, what would you do differently?

• What are the biggest mistakes first-time technical founders make?

I'm not looking for funding through Reddit or trying to promote anything. I'm looking for honest feedback from people who have built companies or enterprise software.

I appreciate both positive and critical feedback. I'd rather hear difficult truths now than make expensive mistakes later.

Thanks!

Hi everyone,

I'm a 19-year-old Computer Science student, and for the past several months I've been building an AI infrastructure platform.

The project started as a learning exercise but has grown into something much bigger than I initially expected. It's a local AI runtime and orchestration platform focused on running multiple LLMs efficiently, semantic expert routing, model scheduling, memory management. I'm currently building a dashboard, SDKs, deployment tools, and enterprise features.

My goal isn't just to build another chatbot. I want to build infrastructure that developers and businesses can use to deploy and orchestrate AI models.

I'm now at a point where I'm wondering whether I should start thinking like a founder instead of just an engineer.

Some questions I'd love advice on:

• How do I know whether this is actually a startup and not just an interesting engineering project?

• At what stage should I start talking to investors or accelerators?

• Should I first focus on getting users before worrying about company registration and funding?

• If you were starting an AI infrastructure company today, what would you do differently?

• What are the biggest mistakes first-time technical founders make?

I'm not looking for funding through Reddit or trying to promote anything. I'm looking for honest feedback from people who have built companies or enterprise software.

I appreciate both positive and critical feedback. I'd rather hear difficult truths now than make expensive mistakes later.

Thanks!

Hi everyone,

I'm a 19-year-old Computer Science student from India, and for the past several months I've been building an AI infrastructure platform.

The project started as a learning exercise but has grown into something much bigger than I initially expected. It's a local AI runtime and orchestration platform focused on running multiple LLMs efficiently, semantic expert routing, model scheduling, memory management. I'm currently building a dashboard, SDKs, deployment tools, and enterprise features.

My goal isn't just to build another chatbot. I want to build infrastructure that developers and businesses can use to deploy and orchestrate AI models.

I'm now at a point where I'm wondering whether I should start thinking like a founder instead of just an engineer.

Some questions I'd love advice on:

• How do I know whether this is actually a startup and not just an interesting engineering project?

• At what stage should I start talking to investors or accelerators?

• Should I first focus on getting users before worrying about company registration and funding?

• If you were starting an AI infrastructure company today, what would you do differently?

• What are the biggest mistakes first-time technical founders make?

I'm not looking for funding through Reddit or trying to promote anything. I'm looking for honest feedback from people who have built companies or enterprise software.

I appreciate both positive and critical feedback. I'd rather hear difficult truths now than make expensive mistakes later.

Thanks!

While testing resumes during placement prep, I noticed most B.Tech resumes fail ATS parsing because of:

• Canva layouts
• multi-column designs
• tables/icons
• poor keyword matching

So I built BOOSTCV — an ATS-focused resume optimizer specifically for students and placement prep.

Features:

• ATS compatibility analysis
• recruiter-friendly formatting
• keyword optimization
• Razorpay integrated micro-payments
• Next.js + Firebase + Vercel stack

One of the hardest parts was fixing production payment failures caused by client/server Razorpay key mismatches on Vercel runtime builds 😭

Would genuinely appreciate feedback from developers/recruiters here.

https://boostcv.in

While testing resumes during placement prep, I noticed most B.Tech resumes fail ATS parsing because of:

• Canva layouts
• multi-column designs
• tables/icons
• poor keyword matching

So I built BOOSTCV — an ATS-focused resume optimizer specifically for students and placement prep.

Features:

• ATS compatibility analysis
• recruiter-friendly formatting
• keyword optimization
• Razorpay integrated micro-payments
• Next.js + Firebase + Vercel stack

One of the hardest parts was fixing production payment failures caused by client/server Razorpay key mismatches on Vercel runtime builds 😭

Would genuinely appreciate feedback from developers/recruiters here.

Website link :- https://www.boostcv.in