Most portfolio advice is generic — built for US devs, not Indian CS students targeting product companies or service giants. ProjectPilot gives you 5 tailored project ideas based on your skills and target role. Each idea comes with a step-by-step build guide, prerequisites, and interview questions — so you don't just build something, you can defend it in a room. Built by a final-year MCA student who was tired of the same todo app advice.
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Maker
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Hey PH I'm Aryan, a final-year MCA student from Bengaluru.
I built ProjectPilot because I kept seeing the same problem — Indian CS students (myself included) struggle to find portfolio project ideas that actually make sense for our context. The generic advice online assumes you're applying to US startups, not TCS, Flipkart, or a product company asking "why did you choose PostgreSQL over MongoDB?"
What ProjectPilot does differently:
→ You enter your stack + target role
→ It returns 5 project ideas tailored to that
→ Each idea has a full build guide, prerequisites, and interview questions baked in
The "deep dive" is the whole point. Not just "build a todo app" — but here's WHY this project works for your target company, here's HOW to build it step by step, and here's WHAT they'll ask you about it.
I'm a backend dev, so the AI layer runs on Gemini and the backend is Node.js + PostgreSQL. The frontend is intentionally minimal — I'm shipping value, not design.
Would love brutal feedback on the project ideas it generates. Try it at projectpilot.devbyaryan.me
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@aryan_damaiCongrats on the launch! 🎉 Love that you're solving a very specific problem instead of giving everyone the same generic project ideas. Curious—how do you personalize recommendations for someone targeting product companies versus service-based roles?
@aryan_damai Congrats on the launch! 🎉 Love that you're solving a very specific problem instead of giving everyone the same generic project ideas. Curious—how do you personalize recommendations for someone targeting product companies versus service-based roles?
@nicole_hynek Thanks! Great question.
The personalization happens at the prompt level, when you select
your target role (product vs service company), that context gets
passed to the AI with a structured prompt that adjusts the
complexity and relevance of the output.
For product companies, it leans toward system design-heavy projects,
scalability decisions, and "why did you choose X over Y" type depth.
For service roles, it focuses more on domain knowledge, integration
work, and client-facing features.
The goal is that the project idea + deep dive feels like it was
written specifically for that interview room, not just generic advice
repackaged.