Built This Week – Episode 4
Hosts: Samuel Nadler & Jordan Metzner
Samuel Nadler (00:47):
Hey, everyone, and welcome to another episode of Built This Week, the podcast where we share what we're building, how we're building it, and what it means for the world of AI and startups. I'm Sam Nadler, cofounder and cohost here at Ryz Labs and Built This Week, and I'm joined by my friend, cohost, business partner, Jordan Metzner. How you doing today, Jordan?
Jordan Metzner (01:10):
Hey, Sam. Great to be here. Excited for episode four.
Samuel Nadler (01:13):
Yeah. I'm really excited about presenting what we've built recently. It's a tool called Ryz Score, and the reason I'm excited is because it's actually one of those tools that's had a huge impact on a large member of our team. It's really accelerated their workflow and made us way, way, way more efficient. That's one of the biggest topics we're gonna cover today.
We're also gonna explore some maybe unusual ways we both use ChatGPT. It's not a new tool people haven't heard of, but I think we use it in some ways that most people haven't even thought of. And then lastly, we've got, as always, every new week is almost a crazy news week. So we got some big AI headlines to cover this week. Anything top of mind before we jump into the tool?
Jordan Metzner (02:10):
No. Just excited to chat about what we got to show today.
Samuel Nadler (02:13):
Okay. Great. To kick us off, let's go into Ryz Score. I'd love, as always, for you to give me a quick product demo.
Jordan Metzner (02:21):
Yeah. So let's talk about what Ryz Score is maybe before I just jump into it. Here at Ryz Labs, we have a staffing company, and we provide high quality developers and other technical roles to US-based tech companies. As part of that, we use an applicant tracking system. We use LinkedIn. We use a lot of different tools.
But the problem we are faced with is that when we post a new job, especially a job that's in a popular area, like software engineer or marketing manager, we get not five or ten applications, but sometimes hundreds. Reading each resume — recruiters often spend less than sixty seconds on a resume. If you have a hundred or two hundred applicants, that’s two or three hundred minutes. So it could take hours just to review the resumes. Humans start to get tired, lazy, or miss some opportunity.
What we realized was that AI is a great way to score resumes — and not just resumes, but resumes based on the job description. So what we built was Ryz Score.
Jordan Metzner (03:42):
Basically, in our UI, you can see a bunch of jobs in the Ryz system — like Data Product Manager or Personal Assistant — with their applicants. Some have 112 applicants. Some have 152. That’s a lot to process.
Samuel Nadler (04:00):
Many of them over 100 applicants. So, yeah, that's a lot if you're looking to move fast.
Jordan Metzner (04:07):
Exactly. So we built a scoring system that evaluates candidates on skills match, experience, education, and cultural fit. All of these go into a composite score. You can filter by location or by score. You can dive into resumes with high scores or send rejections to those who clearly aren’t a fit.
Most recruiters don’t even use the Ryz Score app directly. They use our ATS, where we automatically post the scores. It’s all integrated — they can go down the list, sort by best match, and take action.
Samuel Nadler (06:17):
It’s really important that they don’t have to leave the ATS. The scores just appear there, and they can immediately move top candidates forward. We validated the scoring a lot, and it really does reflect candidate strength. It’s faster and better for recruiters, and honestly, better for candidates too — no more rockstars buried at the bottom of a resume pile.
Jordan Metzner (07:50):
Absolutely. You can see things like: “This candidate demonstrates strong alignment with the personal assistant role.” It highlights experience with travel planning, bilingual fluency, high attention to detail, etc. And you can click right into the Ryz Score page.
Samuel Nadler (08:21):
Amazing. How was it built?
Jordan Metzner (08:25):
Front end is built with Vite, React, Tailwind, and shadcn. I built most of it in Cursor. We use Supabase for auth and data. Supabase edge functions detect new candidates and send their data into ChatGPT with our scoring matrix. We get a score back and push it into the app and ATS.
Samuel Nadler (09:16):
Our team loves it. Huge impact on speed.
Jordan Metzner (09:28):
It’s surprising AI scoring isn’t more common yet, even on LinkedIn. But it’s inevitable. Soon every resume will be scored automatically.
Samuel Nadler (09:54):
So this week, we’re talking about ChatGPT, but with less common use cases.
Nutritionist:
I’ve been using ChatGPT as a nutritionist. Previously, I’d use apps like MyFitnessPal, but they’re a bit clunky. Now I just voice note or snap a photo of what I eat in ChatGPT, and it gives me calorie and macro breakdowns. It even gives me recommendations for later meals based on my goals. It remembers my patterns and preferences.
Samuel Nadler (13:10):
It’s funny — it never says “no” to a dessert. Like, I asked if I could eat pineapple, and it just said “of course!” It even suggested whey protein mousse or yogurt with berries. It’s starting to learn what I have on hand.
Jordan Metzner (14:26):
So it’s like a personal nutritionist that lives inside ChatGPT?
Samuel Nadler (14:27):
Yeah. It’s become a full-on mini app. I don’t even need to pull it out into a standalone project — it’s perfect as-is.
Jordan Metzner (14:54):
That’s really interesting — ChatGPT is becoming a container for actual applications. And maybe one day it could wrap a nicer UI around that thread or offer it as a shortcut.
Samuel Nadler (15:16):
Exactly. Another use case: I had two plants, same species, one was thriving, one was dying. I sent ChatGPT pictures, and it helped me diagnose and fix the problem.
Jordan Metzner (16:14):
That’s awesome. I recently built a digital menu for my cousin’s restaurant using ChatGPT. Took pictures of chalkboard specials, and it turned it into a clean, readable menu.
Samuel Nadler (16:51):
First up: Claude for financial services. What’s the deal?
Jordan Metzner (16:55):
Bloomberg has dominated this space for years, but it’s clunky, expensive, and built in old languages. Claude is moving in with better UX and faster insights. It’s integrated with third-party data and might change how Wall Street does analysis.
Samuel Nadler (18:45):
Even personally, I use AI to analyze my investments — and you’ve convinced me to do deeper modeling too.
Jordan Metzner (19:14):
I use it for option trades — plug in prices, the Greeks, and my thesis. It spits out IRR and risk breakdowns. We even compared Bitcoin ETFs versus direct buys. AI makes analysis way easier.
Samuel Nadler (22:19):
Next: OpenAI wants a cut of shopping sales. I just bought a pool vacuum, and ChatGPT helped me avoid buying another dud.
Jordan Metzner (23:19):
Yup. This is about taking market share from Google and Amazon by being the first stop in product research. ChatGPT is now recommending products and taking affiliate fees.
Samuel Nadler (24:52):
It’s like the Wirecutter, but personalized for you.
Jordan Metzner (25:24):
Exactly. You might see full checkout experiences inside ChatGPT soon. It’s a whole new paradigm for shopping.
Samuel Nadler (25:58):
Final topic: Elon’s Grok launching an NSFW companion mode. There’s a lot to unpack here.
Jordan Metzner (27:32):
It’s a mix of concerns and potential benefits. For some, it could reduce loneliness. But yeah — Elon launching with NSFW out of the gate is wild. And Grok is also partnering with the Department of Defense? They’re covering all fronts.
Samuel Nadler (29:39):
One bright side: we’ve worked in elder care, and senior loneliness is real. Maybe AI companions could genuinely help.
Jordan Metzner (30:35):
Feels like Alexa was too early. Now we’re seeing better, smarter, more human companions. The value’s only going to increase.
Samuel Nadler (30:53):
Alright, Jordan. Thanks for the time — great episode.
Jordan Metzner (30:57):
Thanks, Sam. Awesome to chat. See you all next week. Don’t forget to like and subscribe.
Jordan Metzner (31:05):
Enjoy Built This Week. See you soon.
