Speaker:

Welcome to Podcasting Tech, a podcast that equips busy entrepreneurs

Speaker:

engaged in podcasting with proven and cost effective solutions

Speaker:

for achieving a professional sound and appearance. I'm Matthew

Speaker:

Passe, your host and a 15 year veteran in the podcasting space.

Speaker:

We'll help you cut through the noise and offer guidance on software and hardware

Speaker:

that can elevate the quality of your show. Tune in weekly for

Speaker:

insightful interviews with tech creators, behind the scenes studio tours and

Speaker:

strategies for podcasting Success. Head to podcastingtech.com

Speaker:

to subscribe to this show on YouTube or your favorite podcast platform and

Speaker:

join us on this exciting journey to unlock the full potential of your

Speaker:

podcast. Taking you out to Portugal

Speaker:

today and checking out a new product that will help podcasters with their

Speaker:

podcast and creating not just that original content, but more

Speaker:

content to, you know, spread it out into the world, boost your SEO,

Speaker:

boost your marketing. Very excited chatting with social media Slobodan

Speaker:

Manic, AKA Sunny. He is the co founder

Speaker:

of Pod Pacer. That's the platform we'll be talking about a little bit. And he

Speaker:

is the co host of the. Excuse me, he is the host, not co

Speaker:

host. He's just a co founder and he's the host of the no Hacks podcast.

Speaker:

Sonny, thank you for joining me today. Thanks so much, Matthew. It was a

Speaker:

wonderful intro. Almost like I don't know the person you were talking about, but yeah,

Speaker:

it's great to be here. Awesome to be here. It was wonderful until I got

Speaker:

the title wrong. But yeah, it's a Monday, come

Speaker:

on. So you've been in development and you've been working on the

Speaker:

web for a long time, but you also have your own podcast.

Speaker:

So I'm just curious. Let's talk about your foray into

Speaker:

podcasting. Like what interested you in the space and creating content in the

Speaker:

first place. And then we'll talk about what led you to the development of Podpacer.

Speaker:

Yeah, so I started web development in 2007 or 8. I

Speaker:

don't even remember. It was. It was a while ago. That's just a fact. The

Speaker:

podcast I started 2021 and most people started

Speaker:

their podcast during the pandemic like that. That was the absolute peak

Speaker:

was 2020 and 2021. The reason I started it,

Speaker:

I wanted to build a personal professional network.

Speaker:

Personal slash, professional network. And I thought it's the pandemic

Speaker:

if I don't get them now when they're not going to conference. The people

Speaker:

I studied from literally whose courses I was taking and all that

Speaker:

stuff, if I don't get them now when they're at home with

Speaker:

time, it might never happen. So I just started reaching out to people

Speaker:

whose courses I was taking years prior. And most of them said, yes,

Speaker:

they want to be on the podcast. And, you know, one thing led to another.

Speaker:

It's four years later, still going strong, 200 episodes

Speaker:

in, and yeah, it's a fun, fun journey.

Speaker:

Very nice. I'm, I'm curious and I'm sure some of this is going to lead

Speaker:

into what, you know, what led to the creation of podpacer. But

Speaker:

what were some of your early challenges when you first started podcasting? What were some

Speaker:

of the things you're like, oh my God, what am I doing? But you

Speaker:

sort of learn from and mastered along the way. The most painful one

Speaker:

was how much of the episode needs to be scripted versus

Speaker:

improvised. And there's always that fine line

Speaker:

you have to walk between scripted and improvised. The first few

Speaker:

were fully scripted. When I say fully

Speaker:

scripted, I meant make it seem like it's a dialogue, but

Speaker:

it's actually scripted. And I was horrible because I'm not a professional actor or

Speaker:

a voice actor or anything like that. So I think a few were not even

Speaker:

published. But yeah, that. Finding the

Speaker:

balance between scripted and improvised was a

Speaker:

very, very difficult thing for me getting started because I had no idea

Speaker:

the way it was supposed to be done. When the answer really is just

Speaker:

try. If it doesn't feel right, try differently. If it doesn't

Speaker:

feel right, try differently. Until you just figure out what feels good to you.

Speaker:

Because there's no one answer for every single podcast in podcast, as you know.

Speaker:

I'm sure I love that. And yes, that's always been my advice. The beauty

Speaker:

of podcasting is you can pretty much do whatever you want and

Speaker:

try new things. I love people who experiment with the medium and

Speaker:

create new formats and ways of telling stories.

Speaker:

So I love that piece of advice. So now you're doing the podcast and now

Speaker:

what was it that led you to start to

Speaker:

plan out and create this platform POD Pacer? Right.

Speaker:

I have a story I love to tell everyone. So

Speaker:

one thing I did last year was I partnered with two conferences to interview their

Speaker:

speakers, help them promote all that stuff. And most of those

Speaker:

speakers were people I never really met. They're in the same industry

Speaker:

I was always covering, but it's just new people. One conference was really about

Speaker:

finding new voices and giving them the spotlight. So I had to interview,

Speaker:

long story short, 17 people in 34 days while I had a full time job

Speaker:

and, you know, preparing the interview, researching the guest having a

Speaker:

structured outline, having a list of questions to ask. If you don't,

Speaker:

you're just disrespectful to the guests. That's the way I feel and I didn't want

Speaker:

to do that and I did not have the time to do it properly. So

Speaker:

I just being a semi retired web

Speaker:

developer at the time, I just started talking to ChatGPT almost like

Speaker:

a therapist. And I know, how can we get this done? What

Speaker:

are the solutions for this? And once I broke it down, what I wanted and

Speaker:

what, what I needed to create,

Speaker:

ChatGPT wrote the whole thing. I built a prototype myself. And

Speaker:

the most basic idea was I have a guest bio, I have some of

Speaker:

their previous interviews or article they wrote or LinkedIn post or whatever it is. I

Speaker:

need to feed that into the machine and I need to tell

Speaker:

the brain, the AI, what the outline template is like,

Speaker:

which section I have with how many questions, how long it is, all that stuff.

Speaker:

And it just gives me an outline with the right questions to ask at the

Speaker:

right time. That simple. That, that was like the, the, the

Speaker:

first prototype of working prototype of Pod Facer. And

Speaker:

it did help me get through those 17 interviews in 34 days.

Speaker:

Because if I had to research everything, I, I wouldn't just show up and say,

Speaker:

hey, tell me about yourself. And you know, you know when, when you start, when

Speaker:

you listen to a podcast episode and the, the host only says, why don't you

Speaker:

explain me who you are, what you know, they're kind of winging it. So I

Speaker:

wanted to have good questions for my guest. I wanted to show respect to my

Speaker:

guest, and that's why I built that first version of the tool. This was

Speaker:

summer last year. All right, so the idea with Pod

Speaker:

Pacer is you feed it your

Speaker:

show, you feed it what you want to do, and it can

Speaker:

help you not just with planning your episodes, but then

Speaker:

also with promoting your content beyond

Speaker:

just the standard, you know, title show notes that

Speaker:

we have to use when we're uploading this to our podcast hosting site. Right. I

Speaker:

love, I love that you said have to use like the, the emphasis on have

Speaker:

to. Because everyone hates writing those show notes. I mean, not hate,

Speaker:

maybe a harsh word, but no one loves writing. Most of us

Speaker:

loathe the process. You're right. Let's be honest. Yes. So, yes, this is a

Speaker:

feature we added a few months ago where essentially

Speaker:

once your episode is out, because when you, when you create an account with

Speaker:

podpacer, you can enter your RSS feed and then we know every time you have

Speaker:

a new episode. Basically we transcribe the episode and

Speaker:

based on that episode and based on what the podcast is about and what

Speaker:

everything we know about the podcast, we write 20, 30

Speaker:

different content units. A blog post, a LinkedIn post,

Speaker:

a newsletter snippet, show notes, all that stuff. It

Speaker:

happens automatically. The tool Thoughtbaser will transcribe the episode and then

Speaker:

write all of it. And the beauty of it is because, you know,

Speaker:

AI can never do your tone of voice, all that stuff. Well, if it's

Speaker:

learning literally from your voice, yes, it can. It knows the way you speak

Speaker:

and it can write show notes the way you would speak those show

Speaker:

notes during an episode. So it's, it

Speaker:

saves a lot of time. That, that, that's really what it is. Something we added

Speaker:

a few weeks ago is you can create your own custom types of content.

Speaker:

So let's say you want to have an Instagram caption

Speaker:

or whatever else, you can just say, hey, I want you to also create

Speaker:

this and this and this and this. Here are some good examples of what that

Speaker:

should look like. You're just copying some good content pieces that are

Speaker:

in that format. And then every time it processes an episode, it will create

Speaker:

whatever you want it to create and you can just use it. How

Speaker:

do you get it to really one, how do you get it to really know

Speaker:

our voice and you know

Speaker:

what our typical tone is? And then also how do we know if

Speaker:

that's effective? Right, like, yes, this sounds like me. I

Speaker:

am not very good at marketing though. So how do we like, you know,

Speaker:

reconcile those two things of trying to have it match but also have it be

Speaker:

effective? That's an excellent question. And yes, everyone thinks

Speaker:

that's the thing with AI, Even if it gets your tone of voice, maybe you

Speaker:

don't like your tone of voice. Like this is basically what you're saying and you

Speaker:

think it should be different. Well, the

Speaker:

only way to know is to check and make sure it is. But what we

Speaker:

have is a, is a follow up feature. So if it writes, let's say, a

Speaker:

LinkedIn post, you can say, hey, I like this and this and this, but can

Speaker:

you change this? And then we'll rewrite it, it will try again and it will

Speaker:

get closer to what you want. So how do you know what's going to work?

Speaker:

Well, you don't. But if, if it can analyze a Full transcript

Speaker:

of 30 or 60 minutes of you talking, it will know

Speaker:

the way you talk, essentially. And that way it's

Speaker:

closer than just going to ChatGPT and say, hey, this is a transcript. Write a

Speaker:

blog post or write a LinkedIn post, and then it's going

Speaker:

to be sounding the same way that every single chatgpt created content sounds.

Speaker:

Unless you give a specific prompt, which is basically what we do. We have specific,

Speaker:

very accurate prompts to create those pieces of content.

Speaker:

What are some of the prompts that you think are

Speaker:

the most effective? Like, right, anybody can go to ChatGPT

Speaker:

and say, make me show notes, make me a LinkedIn post. Right?

Speaker:

Like that part is right. Anybody can do that. A monkey can do

Speaker:

that. What are the types of prompts or what is the type

Speaker:

of language that we should be using in

Speaker:

order to make these actually effective, though?

Speaker:

So I'm going to give you almost a cop

Speaker:

out answer, but just bear with me, it's a good answer because this is

Speaker:

when I changed the way I prompted this. It kind of transformed everything for me.

Speaker:

When you want ChatGPT to write something for you, let's say you wanted to write.

Speaker:

Don't say, I want you to write a blog post. Just ask, hey,

Speaker:

if I wanted you to write a blog post for me, what are the

Speaker:

details you want me to have in my prompts to help you create the

Speaker:

best possible output? And it will come up with a list of like five to

Speaker:

10 questions usually. And, and if you just write your prompt based on

Speaker:

that. So have ChatGPT help you write the

Speaker:

prompt. You don't need any more help than that.

Speaker:

So you're actually asking ChatGPT how to. Use ChatGPT

Speaker:

a hundred, because who knows better than ChatGPT?

Speaker:

Yes. Wow. It's transformed. It just

Speaker:

completely changes the way you think about ChatGPT. And

Speaker:

instead of looking at it as a black box, as almost like an

Speaker:

employee that you say, hey, process this and give it back when it's done, it's

Speaker:

more of a copilot where you go back and forth and you ask ChatGPT

Speaker:

if I want to use this feature of you, what

Speaker:

are the instructions for me? How do I use that feature? So we're

Speaker:

just guessing if I want to write myself a blog post without

Speaker:

this process, how do I know it's good, that prompt?

Speaker:

But If I ask ChatGPT, it will tell me, hey, how

Speaker:

long is it? Who is the audience? What are you trying to achieve? What

Speaker:

is the tone? And sure, you can write all of that in your prompt

Speaker:

without ChatGPT helping you, but it's so much

Speaker:

easier when you have a list to go through and then simply instruct ChatGPT

Speaker:

what to do. So when it comes to the episode planning because,

Speaker:

you know, I'm sure there are lots of people out there who are using programs

Speaker:

like this to plan their episodes as well as to help, you know, promote them

Speaker:

after the fact. But you were talking about, you know, feeding the machine

Speaker:

information about your guest and maybe past episodes, maybe things they've written. How

Speaker:

much of that do we have to do versus how much of that are you

Speaker:

basically asking the AI to do for you?

Speaker:

So the feeding of the AI is something that the

Speaker:

user has to do and this is by choice. And this is, we don't, you

Speaker:

know, remember the Notebook LM thing where, you know, you just click and there's a

Speaker:

podcast coming out. It was a hot thing in November. I hate

Speaker:

it. So this is not, this is the opposite of that. This is where you.

Speaker:

Podpacer is basically an assistant for those who don't have

Speaker:

research assistants. So you find your previous three

Speaker:

episodes about the topic you're covering or what your guest was

Speaker:

on previously, and you just feed that podpacer will

Speaker:

transcribe them, process and extract talking points and

Speaker:

questions to ask your guests. So this is not a self driving car. This

Speaker:

will never be a self driving car. I hate the idea of a podcast

Speaker:

being fully AI generated. And I can

Speaker:

get into that. I don't, I don't think we have enough time for me to

Speaker:

talk about how much I hate that as a concept. Because if, if

Speaker:

the person putting it out didn't listen to it, why would anyone listen to it?

Speaker:

This is an assistant that helps you with the research, that will help

Speaker:

you when you have a guest say, hey, remember six months ago you were on

Speaker:

that podcast and you talked about this concept. Can we explore that

Speaker:

a little bit deeper? That's what podbaser is trying to achieve

Speaker:

and not automate and like fully AI. I just, I

Speaker:

don't like that at all. So take us through your

Speaker:

show and what, what has been the

Speaker:

difference in performance before you started using

Speaker:

AI and specifically Pod Baser versus what it's looking

Speaker:

like today? So it's not scientific, but

Speaker:

I don't have, like, you need a lot more data for, to be statistically significant

Speaker:

and all that. But when I started using podpacer, this was season two of

Speaker:

my podcast was from September to December last year. This is when I really

Speaker:

started. I had 10 guests and eight guests

Speaker:

afterwards have sent me an email to say the questions were amazing

Speaker:

without me telling them what it is without me telling them anything. So for

Speaker:

me, that's significantly more than ever before because I

Speaker:

was never before able to go through three hours of audio

Speaker:

or video, whatever my guest was talking about previously, and

Speaker:

have the best possible questions. This is, this will help you get to that point.

Speaker:

And you know, you know when you have a guest and their eyes light up

Speaker:

and because you asked them something and they go, how did you know that, man?

Speaker:

That. That feeling as a podcast was just precious. All

Speaker:

right, so it's definitely anecdotally helped you be a better podcaster. What about on the

Speaker:

flip side? Have you seen any metrics or any

Speaker:

actual, like, gains in your numbers that, you know,

Speaker:

really reinforce that what you're doing here is working? I think it's

Speaker:

made it significantly easier for my guests to share the materials from the

Speaker:

podcast because if they feel like you really treated them

Speaker:

well, it's more likely. Again, this is anecdotal. This is,

Speaker:

it's several, dozens of episodes. Your experience. Yes, from my experience,

Speaker:

it is significantly easier to connect your guest with your

Speaker:

guest on a deeper level if the questions are really, really

Speaker:

something that they like talking about, that they have talked about in the past that

Speaker:

you can get into a deeper conversation over. And

Speaker:

that will make the guest promoting the episode much

Speaker:

easier. And we all know how important that is. If you have a guest,

Speaker:

like you have a great guest and they don't even share the episode when you're

Speaker:

done. It's not amazing. Yeah,

Speaker:

it is always very frustrating when you put your heart and soul into something and

Speaker:

you're really excited because you grab that big name guest and, you know, you put

Speaker:

it out there and then it's crickets from the guests and it's like they forgot

Speaker:

about you altogether. Even though, you know, oftentimes they promise you the

Speaker:

moon and the stars and everything else, life just happens.

Speaker:

I wouldn't blame the game. They just forget about it, like you said. Oh, yeah,

Speaker:

right. Like, and often you interview someone and maybe that interview doesn't air for a

Speaker:

few weeks or in some cases a few months. Right. Like, it's not always their

Speaker:

fault. Although in some cases it's just a matter of,

Speaker:

you know, this wasn't that interesting to me and so they

Speaker:

didn't promote it the way that you wanted them to or, or whatever, you

Speaker:

know, the reasons might be. But so maybe this will help you with getting those

Speaker:

big name guests to be impressed by you and to actually go out and

Speaker:

start sharing what it is that you're doing. Well, as a reminder, you should definitely

Speaker:

go and check out podpacer.com they have

Speaker:

a seven day free trial, but they have three plans you can sign up for,

Speaker:

put your show in there, test it out, take it for a spin, see you

Speaker:

like about it, and then, you know, let

Speaker:

Sonny know what you think and how it works and give them some

Speaker:

feedback. I'm sure they're always looking for ways to improve it. As a reminder, we

Speaker:

are chatting with Slobanon Sunny Manich. He is the

Speaker:

co founder of Pod Pacer and the host of the no

Speaker:

Hacks podcast. Sonny, before we let you go, there's questions that

Speaker:

we like to ask every podcaster come on the show and I'll be curious to

Speaker:

get your take on it, coming from your background of

Speaker:

software development and really kind of deep diving into this. And that

Speaker:

question is, is there something in podcasting where

Speaker:

you would like to see even more improvement? Could it be

Speaker:

from recording, production, distribution,

Speaker:

discoverability, listening? Right, like anywhere from the, from

Speaker:

the podcaster to podcast consumer standpoint, where you're

Speaker:

like, man, this is the next issue I want to tackle. So

Speaker:

I was worried I would not have a good answer because of the way questions

Speaker:

started, but. Improve your workflows, people, as

Speaker:

podcasters, we're sort of almost like an

Speaker:

analog old school kind of industry, like radio style interviews, all that stuff.

Speaker:

There's so much room for improvements and using AI

Speaker:

not to replace the creativity, but to replace the boring parts. And I don't mean

Speaker:

just Pod Baser, that can help you with some parts of it, but improve.

Speaker:

Just document your workflow with every single episode and you know, take

Speaker:

a pen, pencil, type it out, whatever you want and just mark the parts

Speaker:

that can be automated that without even paying for an assistant, that can be

Speaker:

automated with simple workflows like Make.com or

Speaker:

Zapier or whatever. Let's say you record and when

Speaker:

the recording is done, you want to email your guest automatically to thank them. You

Speaker:

can set that up, that, that can be easily done, easily automated, and

Speaker:

we never do that. Like no one ever emails their guest unless they

Speaker:

do it in the next hour. So why not set up an automation for that?

Speaker:

Why not set up an automation and this is easy to set up. I'll be

Speaker:

posting a lot about this on my LinkedIn in the future. Set up an

Speaker:

automation that transcribes the interview, analyzes it, and then

Speaker:

writes a simple draft of an email to thank the guest. Find like key

Speaker:

moments and whatever, put it in your draft folder automatically.

Speaker:

You review it at the end of the day, change whatever you want to change

Speaker:

and send that email. It's that easy. It's super

Speaker:

easy. The important step there is that you have to review it,

Speaker:

right? Always. Always. I don't trust AI. I will never trust

Speaker:

AI blindly. I hope no one ever does. Yes. And I have an AI based

Speaker:

product and I just said that. No, I love

Speaker:

that honesty and I love that, you know, that's really, really solid advice for people.

Speaker:

I think there is a line between

Speaker:

using AI and relying or abusing AI

Speaker:

that, you know, obviously there's a lot of the latter going on in the world

Speaker:

today, and when it happens, it's very obvious and you know, it's going to make

Speaker:

you look kind of silly. On the tech stack, is there

Speaker:

some service or piece of equipment that

Speaker:

either you've seen out there that you're like, oh, I got to get my hands

Speaker:

on it, or you're like, man, I wish somebody would make this. That would make

Speaker:

again, any aspect of podcasting easier, more convenient, right?

Speaker:

I. I wish someone would. And this is POD based, is not this. It might

Speaker:

be in the future. I wish some. I don't know if you use descript for

Speaker:

editing or anything like that. They have that underlord feature that helps you

Speaker:

kind of helps. It's bad. It's really, really bad at writing the. The content

Speaker:

and all that. It's good when it's good, but it's horrible when

Speaker:

it's bad. I wish someone would create something like that that

Speaker:

has your entire podcast as its knowledge base.

Speaker:

So if it's writing a social snippet for this episode, I wanted

Speaker:

to know which five episodes or three episodes in the past it can

Speaker:

refer to. I don't, I don't. I don't think

Speaker:

episode is one content piece is something that you can get

Speaker:

great results with. It need to know. It needs to know the background of your

Speaker:

podcast, the previous episodes, the description of the podcast, all that stuff, and take that

Speaker:

into account. We're trying to build something like that with Pod Pacer. It's not quite

Speaker:

there yet, but I wish there was a sort of like a

Speaker:

ChatGPT specifically for your podcast. You know, you

Speaker:

say that and I'm pretty sure we talked to somebody who was trying to work

Speaker:

on that, or I've seen some platforms that are kind of delving into that

Speaker:

space of analyzing your entire library

Speaker:

to give you, you know, enhanced understanding and

Speaker:

analytics and. Right. Like discover your voice and things like that. So

Speaker:

I got to go back and remember what it was. But I've definitely

Speaker:

heard that before, and I'm pretty sure there are some folks who are thinking about

Speaker:

that and making moves in that space.

Speaker:

And then, of course, the Question we ask everybody is what are some podcasts that

Speaker:

you are listening to right now that you will not let

Speaker:

a new episode go by without? There are two and they have

Speaker:

nothing to do with my work. They have nothing to do. One is Bad Friends.

Speaker:

It's a comedy podcast. It's one of the top 2030

Speaker:

podcasts in the world, week to week, depending on the week. It's two

Speaker:

comedians that should not work be working together as a co

Speaker:

host, but it just works. The chemistry is just unreal. So Bad

Speaker:

Friends with Andrew Santino and Bobby Bobby Lee. The other one is behind

Speaker:

the Bastards. I'm. I'm a sucker for side stories

Speaker:

in history. So they cover historical profile like bad people

Speaker:

in history who have, who people don't even don't

Speaker:

know enough about. So that. And let's say the third

Speaker:

one, the Real Dictators, which it's a great narrative podcast that I hope

Speaker:

everyone checks out. So those three are also. I only listen to podcasts

Speaker:

when I run and those are just the perfect length for my long runs.

Speaker:

So that's why I noticed there's a little bit of a theme in the kind

Speaker:

of stuff you listen to. Should we be worried? I mean, Bad

Speaker:

Friends, that's like, that's why I opened it, why I led with

Speaker:

Bad Friends and then went to the other two. But yeah,

Speaker:

I don't like alternative history or conspiracies

Speaker:

and all that, but I like just the lesser known side of history, let's put

Speaker:

it that way. Very interesting. I might have a couple of suggestions for it that'll

Speaker:

tell you all fair. I would love to hear that. Yeah. All

Speaker:

right, well, I can't remember them, so I'm going to look them up while we're

Speaker:

chatting. But as a reminder to everybody, please, please check out

Speaker:

podpacer.com check out the no Hacks

Speaker:

podcast and, and as Sonny was mentioning, he's going to be

Speaker:

putting a lot more stuff on LinkedIn. We'll have a link to his LinkedIn profile

Speaker:

here in the Show Notes so you can connect and follow with him. We have

Speaker:

been chatting with Slobodan Manic, AKA Sunny.

Speaker:

It's been a pleasure, sir. Thanks for joining us. Pleasure, Matthew, thanks so much.

Speaker:

Thanks for joining us. Today on Podcasting Tech, there are links to all

Speaker:

the hardware and software that help power our guest content and

Speaker:

podcast tech available in the Show Notes and on our website

Speaker:

at podcastingtech. Com. You can also subscribe to the show on

Speaker:

your favorite platform, connect with us on social media, and even leave a rating and

Speaker:

review while you're there. Thanks. And we'll see you next time on

Speaker:

Podcasting Tech.