u/Decent-Assistance-50

Hey everyone, I aggregated and curated all public Grafana CVEs into a single, high-speed Python script to make testing mass targets easier for bug hunters and red teamers. Zero dependencies, clean terminal output, and ready for automation.

I built a free college admissions calculator that 2,500 students have already used — no signup, no account, no data collection.

Everything runs locally in your browser.

Here's what's different from every other tool:

No black box. Every formula, weight, and limitation is public. You can literally read the math.

It models "spike" profiles separately from average profiles — because admissions officers don't evaluate everyone the same way, and neither should your calculator.

Every result comes with a cryptographically signed report you can actually save and reference.

Zero tracking. The database doesn't touch a server. Your data stays on your machine.

I'm a 17-year-old independent researcher and I built this because I was tired of consultants charging $500/hr to tell students things that should be mathematically transparent.

2,500 students have run their profile through it in the last 30 days. No marketing. Just word of mouth.

No signup. No account. Just open it and run your numbers.

[GitHub + live link in comments]

Happy to answer questions about the methodology or how the k-NN clustering works across the profiles dataset.