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Episode 4

Forget Job Applications: Why Your Next Big Career Move is Actually a "Consulting Interview"

with Peter Lay

In the second episode of Making Cents with Charlie, host Charlie Liu sits down with co-founder and Head of Innovation, Peter Lay. From the high-velocity streets of Silicon Valley to the technical trenches of Vena consultancy work, Peter shares how he navigated a career transition from marketing to finance and tech—and how you can too. 

Monday, March 16, 2026

Abstract Blue Forms

Making Cents with Charlie

Forget Job Applications: Why Your Next Big Career Move is Actually a "Consulting Interview"

The "Two-Cent" Advice

"Automate the boring 20% of your tasks. It makes the remaining 80% more enjoyable and builds your technical skill set." — Peter Lay

Episode Key Takeaways

1. Innovation via "Zero Clicks"

Innovation isn't about throwing more people at a problem; it’s about solving it permanently through automation. Peter’s core metric for success is reducing the number of touchpoints. The ultimate goal is moving from three clicks to one—or none at all—to achieve better results with zero manual effort.

2. Silicon Valley & Relationship Capital

The best way to break into fast-moving tech hubs isn't just applying for jobs; it's through consultancies and genuine connections. Peter emphasizes that every client engagement should be treated as a job interview. Building rapport and delivering high value leads to long-term trust, which is often the catalyst for relocation opportunities.

3. UX Matters in Finance

A common pitfall in FP&A is building overly complex solutions that lack adoption. In Silicon Valley, user experience (UX) is king.

  • The Rule of Clicks: Every additional click increases the barrier to entry.

  • Elegance over Complexity: A solution is only effective if the end-user understands it and finds it simple to use.

4. Change Management through Empathy

To drive company-wide adoption, Peter recommends "dogfooding" (using your own tools) and a slow rollout.

  • Identify the personal pain points of users.

  • Use champions to build social proof.

  • Focus on proliferation—making knowledge accessible at a user's fingertips rather than burying it in dense documentation.

  • Charlie Liu (00:01.482)

    Welcome back to making sense with Charlie, the podcast. Thank you for everyone for your warm welcome, especially during our pilot episode. I'm really excited here for our second episode, especially with my other co-founder, Peter Lay and a good friend of mine. He has a unique intersection of finance, data and technology. One of the most technical person I know, despite if you saw his background, you thought he'd just be a CPA. So,

    Let's welcome Peter, glad to have you here. You are the head of innovation here. Love to have you kind of tell the world a little bit about yourself.


    Peter L (00:40.752)

    Yeah, great to be here. think I started my career over at a CPM, uh, similar to you yourself, right? Uh, graduated from university and really not knowing what to do and, uh, bumped into someone who, uh, recommended me to, uh, to a role. And at the time it was just like a, uh, traveling consulting role. Uh, didn't really have much of a idea of what I was getting myself into.

    and then fast forward like five years, I'm still doing that same role, but I'll be at a different level. and then, as you mentioned, I am a CPA, but my background is in marketing. So how I made that transition was really just a stroke of luck, waiting outside a guidance counselor's office and, bumping into someone who really brought me into this, into this industry.


    Charlie Liu (01:40.238)

    I love it. And I started more in the data accounting side. I think I'm spending more time in marketing and sales these days. The world's a funny place. You are our head of innovation. I think we came up with a title through innovation, through GPT, but there's a reason behind it. Love to hear, love to have you kind of share a little bit of that with everyone.


    Peter L (02:05.56)

    Yeah. I mean, the head of innovations really is just solving problems, but a lot of times when we, a lot of these companies, when they solve problems, it's, they throw more bodies into it. that is definitely a way that you can, you can solve the problem, right? But being a startup, there isn't, we don't have that luxury of just throwing bodies at a problem. So, when we do innovations, we really have to tackle the problem in a way where.

    it's solved once and for all it's fully automated and there is little to no touch points. Right. So, a lot of the tools that are out there right now, especially during the advent of the AI, the AI era, right. We can solve a lot of these problems, using AI using, using these tools. and where we start to innovate, right. Is really just, is there a way that.

    Instead of clicking it three times, we click it once or not at all. That is kind of the metric that we're using. And still gaining the same, if not better, results.


    Charlie Liu (03:19.79)

    I want to come back to this because I have feeling I'm going to spend a decent amount of time today and talk about AI and finance, all that stuff, how they relate. It's the hot topic, everyone. It's, I mean, it works for our BD. It's like the number one thing that gets someone too excited to chat about. But you've come a long journey since I've known you. I think it's what? 12, 13 years now, maybe 11. And I remember back in the days, like many of us growing up in Canada,

    I always felt like we were kind of on the outskirts of kind of that fast moving, hot tech movement. You saw it down in the States, especially Silicon Valley. How did you get down there? I'm sure a lot of the audience would love to kind of hear your story. And I think the things have changed drastically over the last decade as well. Your experience, did you even want to go in the first place? How did you end up there? What kind of recommendations you make to the audience today?


    Peter L (03:58.16)

    Mm-hmm.


    Peter L (04:12.368)

    you


    Peter L (04:18.956)

    yeah, for sure. So the way I got down there was, actually through, through consulting, right? A lot of it, a lot of the, roles, it was more like I interviewed for the job just by doing the job. And then the opportunity came a year after that. So,

    I was working with the finance team, working with, working closely with their finance team and setting up their reporting and, planning. and by the time, funny enough, by the time we were, we were done, the business changed so much that we basically have to start again, right? Cause Silicon Valley moves at a rapid pace. So

    that being said, right. my recommendation and, to, the folks that are, that are listening or watching, the, the best way to get into Silicon Valley from what I've seen, right, is actually through consultancies and through connections. a lot of the folks that ended up joining, right, our ex PWC who worked on a project, or from Deloitte who

    was part of the project, right? And that's how I ended up going there was they remembered who I was, remembered the kind of work that I was doing and the value that I was delivering. when the opportunity arose and they needed someone, they gave me a call.


    Charlie Liu (06:03.81)

    I like that. It's like even thinking back my own journey for a long time, I want to get down there and the opportunity didn't come until probably a decade into my career where I was no longer at a state where I wanted to go down, but I was starting to pop up. And many of it did come from relationships that I built while I was a consultant. A lot of it actually came down to when I was doing a lot of freelance work, fractional work.


    Peter L (06:10.416)

    Mm-hmm.


    Charlie Liu (06:32.866)

    You can argue it's basically a different, different title for a consultant like role. You're advising them to do things, but you're not actually doing much of it yourself. And that relationship you've built, you've done the work already. You have to trust and makes a big difference. That's, think that's actually really helpful. Never thought about it. I think a lot of people want to go down there. It's still, things are definitely moving faster. We're in Canada. Things are better, significantly better today, but things are still like day and night in terms of speed down there.

    But to get down there, it's not just applying to so many jobs. It's not going to networking events nonstop. I think it's building genuine relationships and actually doing the work, right? Speaking, action speaks louder. Who, I think, I think it Jansen I heard a line where from Nvidia, he said, you can't escape a bad past. And that makes a big.

    I think if you think about just providing value and focus in that, it will help you get down there a little bit easier than just figuring out how to get down there from a surface level. Did you always want it to go down?


    Peter L (07:42.936)

    Yeah, mean, after the first experience, I realized that this is something that I can definitely get used to and definitely would enjoy. The atmosphere was absolutely electrifying. The sense of entrepreneurship, every time I talked with someone, it was about their idea and their startup, and they were very open on sharing about it.

    The best one I think was I was in an Uber going to the airport and my Uber driver was pitching me his idea and his application and how I was going to compete against Uber itself. All right. So that was a, that was a really interesting experience, but more so to the point about how the, the relationship and how that engagement works is that there was a

    There was a consultant back in, back in our, back in the past where I was on a trip with him and this guy was incredibly intense, right? He was an incredibly intense guy. And he said something to me that resonated with me even to this day. And he said, you have to treat every client engagement as a job interview.

    Because that's what it is. You're trying to buy their, you're trying to build rapport with them. You're trying to build that trust and you have a certain amount of time to do so. So every, you have to treat every engagement with every client as if it's a job interview.


    Charlie Liu (09:22.968)

    This is a consultant in RCPM space.

    I like that.


    Charlie Liu (09:32.557)

    I think just tying back to kind of the work we do a little bit, velocity is a key piece of getting clients happy, getting clients live, getting clients to use it. Now there's definitely the monetary investment, but I think what drives the most amount of success, the consultant, the platform and data, all that stuff definitely matters. But I truly think the biggest driver is the client investment involvement.

    And the faster you can get them excited, invested, just like an interview, if you're going through multiple rounds, you need to come out of the gate swing, you need to start strong. They're going to be that much better. They're going to be that much more invested and they're going to get that much more out of the platform. And you're going to have a longer, longer term relationship. It might end up like a job, right?


    Peter L (10:26.675)

    Yeah.


    Charlie Liu (10:28.846)

    What? You were down there for a while? What was this, four years?


    Peter L (10:33.776)

    I think it was closer to five years, but time was moving a little bit differently during that era. Just because I was there right when COVID started. 2019 was a, was the end of 2019 was when I first started. And then beginning of 2020 was when COVID happened. So it was a different time back then.


    Charlie Liu (10:57.486)

    I'm out.

    Yeah, I'm gonna take off, take us off the kind of planned path a little bit, because you started this. is also an interesting time. mean, the world shut down. A lot of us maybe even forgotten what was that like, but I know like it was hugely impactful for you because you weren't down there for a long time. When I'm getting into this, like.

    Love to kind of hear a bit, little bit of what that experience was like. But I also think if you start with what was your initial experience like, cause I know a lot of the audience, they do want to move geographically. They do want to get down to work in Silicon Valley. They want to work in the States. Maybe sometimes come back to Canada or wherever they're from, just like you. What was your personal experience going down there? What was it like? Did you have people on the ground that you were friends with?

    What were the biggest challenges? was the most memorable? What was the best memories for the first year or two?


    Peter L (12:03.728)

    You


    Peter L (12:08.82)

    that was going to be, that's an interesting one. Cause the, cause that journey was definitely different. Luckily I had a really good friend who was, who was there and he was basically my entire support system while I was down there. Cause everything shut down. Right. In terms of, in terms of what it was like when I first

    Got there, the navigation of just a whole different country was fairly interesting. having to get your licenses, your bank stood up, just having your life rebuilt again, that in of itself was interesting. couldn't even qualify for a credit card because I didn't have any credit to speak of. Right. I couldn't get a phone, cause you needed a, a license.

    like valid government issued ID from the States to get a phone. So it was a lot of that, having to navigate that was an interesting time. As for the work, mean, the people there were great, right? Like I really enjoyed my time there. You learn a lot from there and then...


    Charlie Liu (13:08.044)

    No idea.


    Peter L (13:32.856)

    You learn a lot, the funny thing about learning a lot there is that the problems that you thought were problems.

    Is not a problem in the tech industry, which is, which is funny to say, because in our space, a lot of the times we run into performance issues with systems. we run into, data issues, either it's too much data. And then the eye opening moment was working with the team down there and I was going a little bit too hard on the design.

    anticipating performance issues. And he pulled me aside and said, yeah, that's those are not issues here. Like you're nowhere near the threshold, right? You're dealing in the gigabyte scale. Like we are in the petabyte scale. That's when it becomes a problem. This is not a problem. So that to me is like a huge eye opener. Right. So yeah.


    Charlie Liu (14:39.138)

    That's fascinating. Like you and I, like we spend a lot of our projects making sure that the design, designs are fast. I think a lot of people forget about that, but the ease of use, the user experience makes a huge piece or aspect in terms of adopting something. You're not going to use a platform or tool if you're clicking in a certain way. And some of it is definitely platform, some of it is data, but some of it, a lot of it revolves around the design of the platform as well as solution.


    Peter L (14:55.888)

    Mm-hmm.


    Charlie Liu (15:08.504)

    I mean, that's why we exist. That's what we do. What we do help design platforms for FP &A, for this office of finance. Outside of that kind of...

    you get in the tech side where you have nearly unlimited amount of processing power that others don't have access to. Were there any, did you see anything where how they thought about projects, how they thought about decision strategy that was different from any other industry or experience you've seen that you think it's helpful for others to learn from? And you've worked with clients of all sides and shapes and.

    locations industries. I'm sure there's something that spots out.


    Peter L (16:00.049)

    Oh, that's a good question. Yeah. mean, was a huge, so all things being equal, you're still solving a problem. You're solving the problem. You're putting together a solution and you're putting together a design. Uh, for most companies that's good enough. But one thing that was, that had a lot of emphasis and carried a lot of weight.

    is how many clicks does the end user have to do in order to get to what they need. Right. Because every click matters. Every click means more clicks means lesser user experience. So if you can get a solution that can solve the problem with the minimal amount of clicks, in fact, if there is no clicks, that's what they're, that's what they're goal seeking to.

    is that minor operational efficiency that can compound over time. I've seen reports where it was, well, that equals to like 13 clicks. 13 clicks translates to however many minutes in a day to how many hours in a month to what are the time savings. So keeping that user experience in mind was definitely different.

    than what we were used to as consultants.


    Charlie Liu (17:34.383)

    Surprising, because we're talking about finance at P &A. That's something you hear about UX, UI, software design. And I wonder, because of Silicon Valley, everything is inspired by building the software, the user experience of it, the adoption of it. I think that's a great point. And I think about this for a long time. But when I was doing my CPG e-commerce days, a lot of it was like, how many clicks does it take to get


    Peter L (17:41.936)

    Mm-hmm.


    Charlie Liu (18:04.558)

    you're getting someone's attention to actually checking out. And if you think about what we're doing, yes, we're building platform integration, transformation, having clients with lots of stuff, but at the end of the day,

    At least I think in my opinion, the highest KPI or North Star, I think there is TTV time to value, but there's the adoption to me is more important than anything else. And you're absolutely right. The less clicks we have by itself defines a simpler, easier solution for someone to adopt.


    Peter L (18:40.846)

    Yeah. The focus was mainly on adoption. A lot of, a lot of the times when we, when we did have conversations, it's a lot of discussions revolving around, well, people are not going to use it. Right. If people are not going to use it, then it doesn't matter how good your solution is. It can solve a lot of the problems, but if there is such a high barrier to entry, then that's not really a solution. Right. It has to be.

    user friendly, has to make sense, it has to be simple. And that imposes a much larger challenge. Cause it's not just solving the problem, but solving it in the most elegant way possible.


    Charlie Liu (19:27.168)

    I really liked that. I think a lot of us, especially if we love what we do, we always want to create the.

    the best solution for clients. now when I emphasize best, because that definition is often defined by us, the consultants. I know when I was younger, I wanted to jam as much data, much complexity, calculation, drivers, try to capture as large of a percentage of the use cases as possible. And I realized it worked, it was great.


    Peter L (19:39.119)

    Yeah.


    Charlie Liu (20:04.334)

    But the adoption was never there because it was so complex. So much of it was just so due to my own ego versus actual client usage. I mean, there's something we talked about a lot here. mean, for sake of the whole podcast is about time finance with the human, the happiness side. think we forget about the empathy. What does it take for someone to enjoy using the stuff that we built?


    Peter L (20:31.652)

    Yeah. And a lot of it really is, they, do they understand, right? And are they, are they able to explain it? Right. Cause as consultants, when we build the design and when we build a solution, we understand it inside and out. We think it's incredibly elegant, but if the end user doesn't understand or can't explain it to their leadership, it, it doesn't matter. Right.


    Charlie Liu (21:03.15)

    100%. I think I'm seeing a lot of this as I work with you now. I mean, the role of what you do has changed drastically over the last couple of years. We're now going from where we came from, just being incredibly strong, I see individual contributors, having amazing tribal knowledge to ourselves, to now trying to build a PS firm we've learned.

    over the last, especially the last year, tribal knowledge is not a good thing. It's not how you scale. And I know you bring up propagation. I don't know that's the word you use with the company a lot. How are you seeing things around that?


    Peter L (21:49.23)

    within our company.


    Charlie Liu (21:51.437)

    Yeah, with what you're doing these days about figuring out design solutions, but ultimately adoption and usage with a broader audience, not just with a small handful of ICs.


    Peter L (22:01.808)

    Yeah.


    Peter L (22:05.764)

    The proliferation is actually really tricky because there's, and it is proliferation, but propagation also works. Proliferation is the, is, is yeah. Yeah. Yeah. Is how do we proliferate that, that knowledge, right? There is the, there's the, there, there is a, the documentation approach, right? You and I have done enough documentation in our past lives that one, that the inherent problem with documentation is that


    Charlie Liu (22:13.314)

    Yes. That's the one that you like. Yes.


    Peter L (22:35.768)

    And I'll quote, no one wants to write it and no one wants to read it. Right. We can have documentation. That's not the issue, but it's how do we deliver that Intel, that information, that piece of information to the team in such a way where they don't have to read through endless pages of documents. Right. And let's say you do read through that endless page of documents.

    it's really not going to stick until at the time when they are executing and actually doing the work, right? And if they're doing the work and executing, they're not reading documentation. So there is a fine balance between having good documentation, but also a good method of delivery, right? Delivering it in a way where, where they can get it at their fingertips.

    quickly, reliably.

    And doesn't require too much of a search. Cause last thing you want to do is go through a Google drive or like a one drive or share point. And, and I don't know if you've experienced this where you asked a question and someone will tell you, it's in the share drive. Great. We have like several gigabytes of documents in there. do we, how do we get it? Right. So how do we surface this information? How do we make it more accessible?


    Charlie Liu (23:58.681)

    That's impossible to find.


    Peter L (24:06.22)

    ease of use, ease of access, right? And I think we're entering in a really interesting time in our lives where that question has an appropriate answer, right? So that to me is like, is the bigger problem that I'm trying to tackle is how do we leverage the tools now so that

    it reduces the amount of steps, the amount of clicks, the amount of places that the knowledge and the intel can be surfaced to the end user, right?


    Charlie Liu (24:51.138)

    I think there's a huge part that's surrounding the availability of technology that's off the shelf now. I know I mentioned earlier, we're going to get to AI. I don't think we're going to have the time today. It's something I really want to dig in with you as well. You're someone I go to for all things tech and AI related. I think one question I do want to get with the time that we have is, mean, all of this has really kind of changed management at the end of the day.

    And I've seen kind of the culture around a change over time. feel like these days there's a lot of pure to best practices. These are things you should do. You should go attend these. They're more. Optional in terms of how it's been asked with the client or not a client, the team. How do you think about that? Cause my thoughts around this has been shifting over the last couple of years. How do you push change?

    with the team, do you communicate it?


    Peter L (25:56.571)

    So that's an interesting one.

    Let's go back to the idea of empathy, right? Let's not beat around the bush. And we know that getting answers to questions is painful. I'm experiencing right now because I'm dogfooding the entire process. I don't want to dig through all that documentation. So what is the change management process for me is, Hey guys, this is my problem. I don't know if this problem is resonating with you guys, but here's the solution. Here's what I am doing.

    And by the time I get to that, get to that speech, I've already dog fooded the solution many, many times and it does work. cuts, it cuts out the, the, the need to go hunting and pecking and to go spelunking through your, to your archives. And then, I also like to, roll it out slowly, right? I don't want to do a big bang rollout that

    always runs into interesting and unforeseen issues. But if I can get a slower rollout, right, to some of the key folks who are interested, who does this on a regular basis, then they themselves become evangelists to the idea that, this does work, right? And other folks who may be experiencing the same problem. Now I have social proof within our own, within our own team that, no, this works for so-and-so.

    You should try it. Right. And then that naturally builds over that change management without having it being so abrupt and so, invasive, right. Getting a couple of champions and just walking them through. This is the problem that I'm experiencing. I'm guessing you're experiencing the same thing. Let me know if this will, this will help. Right. And then provide me feedback and I'll improve the whole process.


    Charlie Liu (28:00.175)

    Couple of things you mentioned that I wanna call out. So we talk about this a lot. think empathy is, focus empathy can get you almost kind of any results or goals you wanna have. In this case, this is exactly it. think too many, I think a lot of people are really good at making cases, ROIs, the reasons.

    at large projects, but they don't do it at the change management level. They don't do it in individual users, stakeholder level. And that's where a lot of projects don't go well. And I think a lot of execs leaders often kind of question and have all these post-mortems deep dives about why projects don't succeed. A lot of it, I don't think it's because there were poor decisions or poor initiatives. I think it's all comes down to

    the change management, the adoption side, a lot of to get the project in, they build this whole thing with champions making decisions, but then they don't do the same exercise at the adoption. It feels like once they started, they think the project is done. I think what you're saying is it's the hardest part just starting now.

    And then one piece I want to highlight is getting that personal aspect. I think a lot of people forget about that. We're all people at the end of the day. How do we, why is it painful? What is the reason why it's painful for you individually? And seeing the, seeing the pain points getting resolved by the solutions you have, only by doing that, you're going to have people excited about trying things. And once you have excitement and energy, we talked about that earlier.

    you're gonna have better adoption across the board.


    Charlie Liu (29:49.582)

    We are coming down towards the end of time. I'd to kind of just switch gears a little bit. What's the...

    So a big piece here is about having serious discussions on topics and being unserious to get through it. How do you stay optimistic during difficult times?


    Peter L (30:16.44)

    I mean, I have you guys, right? That's, that's one of the, one of the most, the best things about working with, with the team is having you guys, but more so, think, all the cool things, all the cool things that we're doing, all the future prospects, I think that keeps me going. Right. It's, it's constantly learning. the other thing is something you mentioned to me is that instead of.

    treating the problem as a problem, right? Treat it as education. So it's just a constant learning cycle for me. And it's the only way that I can think of it in a very positive light, because the hard days, they get really hard, but I'm learning something out of that, right? I'm learning about some things to look out for or future questions that I can ask or

    you know, what I would do differently, should this happen again? So, instead of treating problems as an obstacle, right? If you were to reframe that as a lesson or to reframe that as, I'm getting something out of this other than just, you know, the, pain and the, anxiety of it all. if you look at it as a, as a lesson, it's, it's a quite positive spin.


    Charlie Liu (31:45.133)

    I it. It's a line I survived the first few startups. One of my first startup, my other co-founder, she kept saying like, this is just tuition. The failures, the hardships, everything there, she's just, just tuition to pay that you're paying for the learnings and results you're getting. So I think changing that frame of mind, almost train yourself. You can look at it negatively and I don't think that helps in any aspect.

    but being excited that you're gonna go through this is gonna hurt, but you're gonna come out of it knowing how to do this again is quite, it's quite a good one. Thanks for bringing that up. Final kind of piece, I think we have two sections that we have to end our podcast. Naturally, this is our second one, so things might change over time. But the first one is just a rapid fire. And then lastly, the audience being promised the two cent advice


    Peter L (32:21.584)

    Yeah.


    Peter L (32:36.29)

    I'm


    Charlie Liu (32:43.902)

    sense of vice from you. Let's go through the ratifiers. Debit card or credit card?


    Peter L (32:45.508)

    Okay.


    Peter L (32:49.85)

    Credit.


    Charlie Liu (32:52.398)

    Pizza or burgers?

    That's a one.


    Peter L (32:56.304)

    Pizza, pizza, don't judge Hawaiian pizza.


    Charlie Liu (33:00.822)

    I get it. love it. I love it as well. I'm with you. audio books or podcasts.


    Peter L (33:06.704)

    podcast.


    Charlie Liu (33:08.364)

    What's your favorite podcast right now?


    Peter L (33:10.288)

    pivot with Scott Galloway and Kara Swisher.


    Charlie Liu (33:13.934)

    Yes, yes.

    favorite AI tool.


    Peter L (33:21.402)

    Whoa, that's too many. It's way too many right now. Gemini, ChatGPT, Cloud, those are the main big ones. Yeah, we'll go there. We'll just keep to those three main ones.


    Charlie Liu (33:44.28)

    You and I had this talk over and over again. We feel like AI is going to take over. If you were going to make a bet on it, what year do you think we're all going to just be sitting at home collecting universal income and just eating pizza all day?


    Peter L (33:58.211)

    You


    Peter L (34:02.096)

    That sounds pretty good. So I'm going to go with a 2027 to 2030 bet. Somewhere in the next four years.


    Charlie Liu (34:12.354)

    I mean, 2027 is next year, Let's come back to this in a year and see where we're at. I love those final two cents from you for the audience.


    Peter L (34:14.136)

    Yep.


    Peter L (34:24.342)

    Yeah, automate the boring, automate the boring 20%. I find that if you can automate the boring part, which is usually 20 % of the task, it makes the remaining 80 % much more enjoyable. Plus you get to learn about automation. So there's always that.


    Charlie Liu (34:43.288)

    I love that. And I think if you go into any process or task or role with that mindset, I'm gonna learn about this 20 % boring stuff so I can automate it. You have a better time even doing that boring stuff as well.


    Peter L (34:55.194)

    Yep.


    Peter L (34:58.949)

    Yep.


    Charlie Liu (35:01.058)

    Well, Peter, this was beautiful. Thank you so much. Thank you for being here with me and thank you for being on the podcast of MCC with me. Thank you so much.


    Peter L (35:05.296)

    Yeah.


    Peter L (35:12.298)

    Absolutely man. Talk to you soon.

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