Inspiration

I built hyProX because most productivity tools feel made for average workflows, not for people trying to do a lot and move fast.
A lot of the time, the real questions are:

  • Which opportunity is actually worth my time?
  • Where do I stand compared to people I admire?
  • What should I be doing next if I actually want to grow fast?

hyProX is my attempt at building something more strategic than just another “stay productive” app.


What it does

hyProX is a web app for ambitious, high-performing people who want to make better decisions about their growth.

  • War Room: personal dashboard for profile, opportunities, benchmarks, progress, and next move
  • Opportunity Intel: paste a hackathon / fellowship / conference / grant / event link and get key info, deadlines, fit, and whether it’s worth pursuing
  • Signal Map: shows profile strength, missing proof, and how clear your overall story is
  • Benchmark Circle: compare yourself with people you admire to identify meaningful patterns, gaps, and signals
  • Wall of Works: execution layer for keeping top priorities visible and maintaining momentum

How I built it

I kept the stack modern but practical:

  • Frontend: React + TypeScript, Vite, Tailwind CSS, Framer Motion, React Router, React Hook Form + Zod, Zustand
  • Backend / Data: Firebase Authentication, Firestore, Firebase Storage, Cloud Functions
  • AI: Google Gemini for most structured analysis and extraction, plus Qwen3-32B via Featherless.ai

Challenges I ran into

The two biggest challenges were:

  • Making AI output usable: turning model output into something structured, relevant, trustworthy, and actually useful
  • Controlling scope: the idea could have grown too big, so I kept bringing it back to the core loop: analyze → decide → act

Accomplishments that I’m proud of

I’m proud that hyProX feels like a real product and not just a collection of AI features.

Some things I’m especially happy with:

  • bringing profile analysis, opportunity analysis, comparison, and execution into one place
  • getting Firebase-based persistence and data flow working smoothly
  • building something that feels genuinely useful, not just hackathon-useful

What I learned

A big takeaway for me was that AI is only valuable when it fits naturally into a real workflow.

What matters is not just that a model gives an answer, but whether it:

  • helps you make a better decision
  • saves you time
  • gives you more clarity

I also got reminded that reliability matters just as much:

  • auth
  • state management
  • redirects
  • clear UI states
  • understandable errors

Those details make a huge difference in whether a product actually feels solid.


What’s next for hyProX

Next, I want to build a much more personal accountability and strategy layer on top of this.

Something that doesn’t just analyze opportunities and profiles, but actually understands:

  • what you’re trying to become
  • what you’re avoiding
  • where you tend to lose momentum
  • what you should focus on next

Sponsor Credits

  • Featherless.ai: Used as part of the project’s AI/model workflow
  • gen.xyz: The project’s .xyz domain is registered through gen.xyz

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