AI-Powered Web Applications

Over the past two years I’ve been building a suite of AI-powered web applications — tools that solve real problems that I’ve run into personally and professionally. Each one is built from scratch using Next.js, React, and the Anthropic AI API, and deployed at production scale on Vercel.

These aren’t demos or side projects — they’re live, functional tools used by real people every day. If you have an idea for an AI product and need a thought partner, a technical collaborator, or someone who has been through the build-learn-iterate cycle, I’d love to talk.

App 1 —

BBK Music Seeker

BBK Music Seeker — Find Live Music Near You

Live URL: https://locallivemusic.ai

I’ve always loved live music — from dive bars in West Chester to lakeside venues in the Poconos. But finding out who’s actually playing on a given night is surprisingly hard. Most apps only cover ticketed shows at big venues. The spontaneous jazz trio at a restaurant on a Tuesday, the cover band at your favorite bar this Saturday — that stuff just doesn’t make it onto Ticketmaster.

So I built BBK Music Seeker. It uses AI to search venue websites, cross-reference event listings, and surface live music near any zip code or city — tonight or any night. The app pulls real performer names, set times, and links to reserve a table or buy tickets, all in one place.

What started as a tool for my own Friday nights has grown into something people around the country use to find music in cities from Philadelphia to Chicago to Los Angeles.

BBK Live Music App by BKCG

Here’s what it does:

  • Search by zip code or city to find live music at bars, restaurants, clubs, and independent venues nearby
  • Filter by date — tonight, this weekend, next 7 days, or plan ahead with 3 and 6 month views
  • Search by band or artist name to track down any performer’s upcoming shows near you
  • Filter by Cultural Style — 14 genre options including Irish/Celtic, Latin/Salsa, Jazz, Blues, Afrobeat, Bluegrass, Klezmer, Gospel, and more
  • Featured venue cards for curated local favorites with known weekly schedules, performer lookup, and community Live Vibe ratings
  • Venue and band owners can request to be listed directly through the app
  • Currently featuring the Commodore John Barry Arts & Cultural Center (Philadelphia), Bubb City (Chicago), Pietro’s Prime, Station 142, and venues across the Pocono Lake area

App 2 —

College Fit Finder

 College Fit Finder — AI-Powered College Search

Live URL: https://searchcolleges.ai

The college search process is broken. Students and families spend hours on generic ranking lists that don’t account for what actually matters to them — cost, location, campus size, athletic culture, Greek life, academic strength in a specific field, or how far from home they want to be.

I built College Fit Finder after watching families I know go through this process frustrated and overwhelmed. The app lets students define exactly what matters to them — up to 27 preference parameters with importance weighting — and then uses AI to surface schools that actually match those priorities, including colleges they may never have heard of.

It’s not a ranking. It’s a match. And that’s a very different thing.

College Fit Finder App by BKCG

Here’s what it does:

  • 27 customizable preference parameters — academics, cost, location, campus culture, athletics, size, selectivity, and more
  • Importance weighting so the things that matter most drive the results
  • Client-side hard filtering ensures results meet your non-negotiables before AI scoring begins
  • AI-powered fit scoring using the Anthropic API, College Scorecard data, and Wikipedia
  • Save colleges to your list, sort by fit score or distance, and export to CSV for sharing with parents or counselors
  • Brings to the surface new schools students wouldn’t find on their own — strong regional universities, hidden gem liberal arts colleges, and schools with exceptional merit aid
  • Free to use — no account required

App 3 —

Vega Trading Analyzer

Vega Trading Analyzer — AI-Powered Options Analysis

Live URL: https://vegatrading.ai

I’ve been actively trading QQQ options for years — managing positions around Fed policy decisions, earnings cycles, and macro catalysts. The problem is that the tools available to retail traders are built for professionals with Bloomberg terminals, not for someone who wants a clean, fast read on implied volatility, rate shock exposure, and what-if scenarios from their laptop.

I built Vega Trading Analyzer to fill that gap. It’s a QQQ-focused options analysis tool that tracks IV percentile, models rate shock scenarios based on Fed policy history, and lets you run What-If simulations on your positions before you place a trade. It’s the dashboard I wanted and couldn’t find anywhere else.

Vega Day Trading Analyzer | App by Brian BK

Here’s what it does:

  • IV percentile tracking — know whether you’re buying or selling options in a high or low volatility environment
  • Rate shock back-testing — model how QQQ positions have historically responded to Fed rate decisions
  • VXN dashboard — track Nasdaq-specific volatility alongside broader market signals
  • What-If Simulator — input any position and scenario to model potential outcomes before committing
  • Built for QQQ options traders who want institutional-grade analysis without institutional complexity
  • Clean, fast, mobile-friendly — built to be used in real time during market hours

Do you have an Idea for an AI Product?

Building these apps has taught me as much about product development as my entire career in SaaS did — just compressed into a much shorter window. The combination of AI capabilities, modern web frameworks, and fast deployment pipelines means the gap between an idea and a working product has never been smaller.

If you’re sitting on an idea — for a business tool, a consumer app, or anything in between — and you want a thought partner who has actually gone through the build process, I’d love to hear about it.