Transcript
Speaker: another episode of Dream Slip.
Speaker: You're listening to Robert and I have a special guest today.
Speaker: The CEO of Dream Slip himself, Nicholas.
Speaker: Hi, Nicholas.
Speaker: How are you?
Speaker: Hey, Robert.
Speaker: How are you doing?
Speaker: I'm doing good.
Speaker: That's what I refer to you as.
Speaker: What are you?
Speaker: A supreme leader of the galaxy.
Speaker: I don't know.
Speaker: On the starship of the Enterprise.
Speaker: I don't know.
Speaker: No, no, you're a Star Wars guy, not a Star Trek guy.
Speaker: No, no, I'm a Star Trek guy.
Speaker: Are you?
Speaker: Okay.
Speaker: And a Star Wars guy.
Speaker: Yeah.
Speaker: Who would win?
Speaker: You can be both, you know.
Speaker: Who would win what?
Speaker: And like a Star Wars versus Star Trek.
Speaker: If there was a war.
Speaker: Yes.
Speaker: I would say it'd be pretty tight because the Federation is the entire galaxy.
Speaker: It's like a federation of
Speaker: stuff.
Speaker: And Star Wars is a bunch of... I don't know.
Speaker: I would have to say Star Trek.
Speaker: Really?
Speaker: Would win?
Speaker: Yeah, I would think so.
Speaker: The technology that Star Trek has is a lot better than the Star Wars.
Speaker: You believe that Star Wars would win?
Speaker: You believe.
Speaker: Now, Star Wars has...
Speaker: Jedi Knights.
Speaker: Yeah.
Speaker: Right?
Speaker: That's the only thing that's neat about it.
Speaker: But the technology and everything is way worse than the Star Trek technology, right?
Speaker: And the Jedi Knights is just, you know, it's sword fighting.
Speaker: Like, you can shoot, you know, a Jedi Knight,
Speaker: gets killed with a bullet.
Speaker: They can't stop bullets, but they can stop lasers.
Speaker: But there are a lot of species in Star Trek that they're discovered.
Speaker: They're way more powerful.
Speaker: They have literally gods in Star Trek universe.
Speaker: And they can handle them.
Speaker: So I would say Star Trek, easy.
Speaker: OK, good.
Speaker: Star Wars is more just sort of
Speaker: current technology.
Speaker: They said, oh, we'll make instead of using guns, we'll make them lasers.
Speaker: Instead of using swords, we'll make them laser swords.
Speaker: So, and the only other technology that's really good is they can travel faster than light, but so can Star Trek.
Speaker: Yeah, like light speed.
Speaker: That's right.
Speaker: Anyway, that's my view.
Speaker: Okay, that's all we have time for today.
Speaker: And they make wearable breathing apparatus, you know?
Speaker: Yeah, robotics.
Speaker: Yeah.
Speaker: Anyway.
Speaker: What's that?
Speaker: Robotics, what do you call that?
Speaker: Cyber.
Speaker: You got to keep an eye out on that other meeting.
Speaker: No, no, I'm good.
Speaker: You have to give a talk now?
Speaker: I just saw it says Australia representatives.
Speaker: I'm like, I think that's me.
Speaker: It's all good.
Speaker: So analytics, we're doing okay?
Speaker: Yeah, we're surviving.
Speaker: We're currently looking, you mentioned just earlier, we have how many users?
Speaker: 114 I had.
Speaker: Yeah, you had 114.
Speaker: Yesterday, I think it was 94, 93.
Speaker: 93.
Speaker: Yep.
Speaker: So as you said, we're up 20.
Speaker: We've got 12.
Speaker: How many active users did I say we had?
Speaker: 21.
Speaker: 21 active users, which is pretty good.
Speaker: Let's have a look.
Speaker: I should go deeper.
Speaker: We'll look at where the actual users are coming from.
Speaker: What do you reckon?
Speaker: Yeah, I'd imagine...
Speaker: The good thing about the Philippines is they're very global.
Speaker: So although you get something in the Philippines, you probably get things elsewhere as well.
Speaker: Yeah.
Speaker: I still can't believe like the US, 27.
Speaker: Yeah, we've got more in the US than we do in Australia.
Speaker: That's funny, you know.
Speaker: We only got 21 in Australia, 27 in the United States.
Speaker: Mm-hmm.
Speaker: OK, so Pixel 5, a lot of Pixel 5s.
Speaker: I'm looking at the devices, you see?
Speaker: Yeah.
Speaker: iPhone 11 5, iPhone XS 4, iPhone 12 2.
Speaker: Is my iPhone on there?
Speaker: No, it's not.
Speaker: Wow, that's a bit weird.
Speaker: Oh, no, there's 14.
Speaker: You can't tell.
Speaker: I wonder why I can't tell those 14.
Speaker: Uh, oh no, it does.
Speaker: It's an iPhone 13.
Speaker: That's what I got to iPhone 13 access.
Speaker: All right.
Speaker: All right.
Speaker: So the next question is, have we heard from our iron source?
Speaker: That's a good question.
Speaker: I'm going to check the mail.
Speaker: I haven't had a chance to look today.
Speaker: So I'll do that now live on the podcast.
Speaker: It says, dear dreamslip, we do not think you should have it.
Speaker: No answer from... Ansos.
Speaker: Ansos.
Speaker: I have an open ticket too.
Speaker: I wonder why they hate us.
Speaker: Is it just you?
Speaker: It's probably me.
Speaker: They've seen my picture and they said... Are you serious?
Speaker: No.
Speaker: So I think 20-odd growth overnight, that was good.
Speaker: That was a good start.
Speaker: We're going to see that double, triple, quadruple, 10 times that number, but we will get there.
Speaker: Yeah, it still says that your account is pending approval.
Speaker: We'll notify you by email when your account is approved.
Speaker: Whose email, yours or mine?
Speaker: Because I emailed the big one to mine.
Speaker: And my last email I had from them.
Speaker: Action required, August 19th.
Speaker: I don't know if it was Google Play.
Speaker: We fixed that.
Speaker: Level Play.
Speaker: Robert.
Speaker: Okay, the last thing I wrote, I got one that says,
Speaker: Reply from Eloran, Unity, IronSource support.
Speaker: Hi, Robert.
Speaker: You need to have a live app.
Speaker: Last time you reached out and our team replied to you that in order to prove you need to have a live app on the stores, I replied, hi, IronSource team.
Speaker: Just wanted to let you know that our app is now up and running on both Google Play Store and Apple Play Store.
Speaker: I've updated the necessary details on the IronSource dashboard to reflect this.
Speaker: I've worked to ensure everything's in sync with IronSource.
Speaker: If there's anything you notice that needs tweaking, please give me a shout.
Speaker: Thanks for your time and looking forward to getting everything rolling smoothly.
Speaker: Cheers, Robert.
Speaker: And that was- That's a very pleasant email, Robert.
Speaker: It was a very pleasant email.
Speaker: They shouldn't hate us after that.
Speaker: No.
Speaker: But the one I wrote 10 minutes later, I said, what the fuck's going on?
Speaker: You assholes.
Speaker: I said, 10 minutes and you haven't done anything.
Speaker: I wonder if they'll come up on the transcript.
Speaker: Oh, that's funny.
Speaker: Yeah.
Speaker: How could you not listen to me?
Speaker: Oh, that's cool.
Speaker: Well, let's see what they say.
Speaker: Let's see what they say.
Speaker: Well, let's see how much growth we get tonight.
Speaker: And hopefully we get the second event up at the same time for audition, which will be good.
Speaker: So if we get, yeah, so it's about active users.
Speaker: So this week, I know, what is it?
Speaker: It's Wednesday, Thursday.
Speaker: Okay.
Speaker: Thursday today.
Speaker: It's good having this podcast because the week actually becomes longer, doesn't it?
Speaker: It does.
Speaker: It feels longer.
Speaker: And so we really wanted to get honing into details.
Speaker: So when we get into details, things spread out longer.
Speaker: And just to reflect, we want the analytics.
Speaker: We want to really get a sense of,
Speaker: how user acquisition is going to be.
Speaker: We want to get a sense of the voting.
Speaker: I don't have the voting stuff in there.
Speaker: Like I said, I won't get a new app until next week.
Speaker: But we see there's 400, so in four days, five days, that's about 100 votes a day.
Speaker: That's just an average.
Speaker: I don't know what it really is.
Speaker: Yeah.
Speaker: But even if you looked at 20 active users, which is what we said, 21 or whatever, that's
Speaker: That's what?
Speaker: That's five each, five votes per user.
Speaker: No, no, that's 21 active a day.
Speaker: That's what I mean.
Speaker: But if we go back to that spreadsheet that you sent me the other day, where we said 1,000 users, how many votes did we say would be with 1,000?
Speaker: We'd said there was 895,000 votes at the end of a week.
Speaker: I need my calculator.
Speaker: I can't do this.
Speaker: So 895,000.
Speaker: So it's 895 votes per person in seven days.
Speaker: So with 100 people, yeah, let's say 100 people, we should have had 8,000 votes by now, 80,000 votes.
Speaker: That doesn't make sense.
Speaker: Those numbers are totally wrong.
Speaker: Okay, so we have 400.
Speaker: Yeah, no, that's because of the previous way we did the previous competitions.
Speaker: But we're off by heaps of magnitude.
Speaker: So the competition started on Saturday, right?
Speaker: Okay, we got 400 votes.
Speaker: Well, it started Saturday midnight.
Speaker: So it really started Sunday morning.
Speaker: No, it started Saturday afternoon.
Speaker: Did I make it in the midnight, did I?
Speaker: Yeah, you made it midnight.
Speaker: Okay, so it's really Sunday then.
Speaker: So it's really Sunday, Monday, Tuesday, Wednesday.
Speaker: So three days.
Speaker: Three days, 400.
Speaker: But I'm going to average it 400.
Speaker: So 100 votes a day for 100 people.
Speaker: So that's one vote per person per day.
Speaker: Oh, shit.
Speaker: You have to do something?
Speaker: Can I put you on hold for a second?
Speaker: Sure.
Speaker: One sec.
Speaker: I can pause this, can't I?
Speaker: Okay.
Speaker: Gee, the lighting changed.
Speaker: Yeah, wow.
Speaker: I don't know what happened.
Speaker: I feel like one of those magicians where they change costumes like that.
Speaker: Yeah.
Speaker: And that's good.
Speaker: Okay.
Speaker: So we'll just talk about Brent.
Speaker: When's Brent?
Speaker: Yeah.
Speaker: So we're hopefully going to have our first time next by Sunday.
Speaker: if not Monday morning, where we have our first dual event at the same time with different videos.
Speaker: I guess it's going to be good for us to see how we do the reels as well, like the infinity scroll.
Speaker: Do we mix them or do we just put all one, all the next?
Speaker: I mean, those are the kind of things.
Speaker: Oh yeah.
Speaker: Okay.
Speaker: Let's talk about that as a feature.
Speaker: I'm a bit worried that every time I go into it, it's in the same order.
Speaker: Yes.
Speaker: Right.
Speaker: That's not right.
Speaker: I think,
Speaker: So we could either have it some kind of logical order based upon the number of votes.
Speaker: So the least vote ones go on the top.
Speaker: Yes.
Speaker: Or the ones that you follow go on the top.
Speaker: I don't like the one where your follow goes on the top because that's not very... You never get to experience new things.
Speaker: That's right.
Speaker: That's right.
Speaker: Or just random.
Speaker: I can do it.
Speaker: Every time you go into that screen, I randomize it.
Speaker: I think randomizing is better.
Speaker: But if we do that for now, that's a feature for now that works because there's not many events.
Speaker: If you look at something like TikTok or Reels or anything like that, what they like to do is put things that you actually like in front of you so it keeps you excited about coming.
Speaker: So if it's randomized, maybe it's randomized in a way where there's an AI at least that sort of says, these are ones that are similar to what you've... I don't know.
Speaker: Again, that's not in there.
Speaker: That's MVP.
Speaker: That's not MVP, but...
Speaker: I don't know.
Speaker: You know what I mean?
Speaker: Like, usually...
Speaker: What some people do is they, some brands do, is they try and get you in front of things that get you excited about being on the app.
Speaker: Okay, let me tell you how it works.
Speaker: Okay, you know how it works.
Speaker: I saw the smile.
Speaker: I'm like, Nick's like, what are you talking about, Nick?
Speaker: He's talking to himself.
Speaker: He's talking to himself in a whole... It's a recommender system, right?
Speaker: Recommendation.
Speaker: So for a recommender system, right, which is machine learning, right, is to have you...
Speaker: It's an echo chamber, as you said.
Speaker: So you're always there.
Speaker: And that's actually one of the worst things that's happened in the tech industry, right?
Speaker: In society because of the tech industry, right?
Speaker: So we said we were going to have a recommendation system put in to say, okay,
Speaker: this person's voted this kind of song.
Speaker: So we can find, we can actually have songs analyzed or performances analyzed by a machine learning that says, okay, this is the kind of colors that are in there.
Speaker: This is the kind of movements.
Speaker: This is the kind of gender of the person.
Speaker: This is the age of the person.
Speaker: This is the loudness of the music.
Speaker: And they're all, they're all data points that the machine learning will pick up.
Speaker: Right.
Speaker: So we'll just, as more data points we have, the more, you know, you,
Speaker: personalize the recommendations and say, okay, but it only recommends not just what you liked, because that's pretty easy.
Speaker: It will say, you like this one and you've liked this person and then you add you like this performance.
Speaker: Well, 20 other people have liked those three as well, but they've also liked this one.
Speaker: So we're going to present that to you.
Speaker: But you click on it or you vote on that one that the other ones are, then you start becoming tribal.
Speaker: Right?
Speaker: And so the AI is going to say, oh, then you are that kind of person and that's all we're going to feed you that one.
Speaker: But then, so you have to put in noise.
Speaker: So in the machine learning, you're putting noise to say, okay, then it's going to be just someone or some performance that doesn't meet any of the criteria of your tribe.
Speaker: And if you like it, then you start splitting from that tribe, if you say what it is, right?
Speaker: Yep.
Speaker: Now...
Speaker: I don't know if we, like, that was in the feature set.
Speaker: We're going to do that, right?
Speaker: But that doesn't, that's not answering the question that I asked.
Speaker: It's the order of the videos, right?
Speaker: So what that tribal thing is what videos you actually get to see, right?
Speaker: So if we have 100 events in a day, right, of 10, that's 1,000 videos.
Speaker: Yeah.
Speaker: Right?
Speaker: So I'm not going to push it.
Speaker: not us, but the server is not going to push a thousand videos to you just in case you're going to see them because you're wanting to see them in time, right?
Speaker: You're only like, if you look at reels or you look at a Tik TOK and stuff, you're probably only looking at about 20 videos, right?
Speaker: It may feel like you're looking at hundreds and hundreds, but you're only looking at 20 in a session.
Speaker: Yeah.
Speaker: So what 20 gets sent to you out of that thousand for those events, right?
Speaker: That's what the recommender system is.
Speaker: But what I'm talking about is what is the order of that 20?
Speaker: Yeah, randomized.
Speaker: Yes.
Speaker: I don't know what you think, but I think randomized.
Speaker: Yeah, but randomized, but then you look at who's this, what is Dream Slip for?
Speaker: Is it for the performer or is it for the audience?
Speaker: Because if you're a performer that has low votes,
Speaker: Wouldn't you want to sort of promote them as Dreamstip?
Speaker: You say, okay, well, come on, we really want them to have a chance.
Speaker: Okay.
Speaker: That's on one hand.
Speaker: On the other hand is in order to get viewers engaged in the system and voting, which helps the performer.
Speaker: Every time the viewer gets on, they see the least amount of votes, which means they may not be the best performances.
Speaker: So therefore the quality of what they're getting.
Speaker: So you will need to chuck in those randoms as well because otherwise it's the quality of the first impression from the viewer.
Speaker: I don't know.
Speaker: That's maybe just something that may be wrong or rude or whatever what I'm saying, but I'm thinking empathetically if I every single time get on and see the lowest possible ranking person, it may be because of their skill level at that point in their career or whatever.
Speaker: It may not be.
Speaker: I mean, it may be someone like...
Speaker: you know, a really, really good singer that has no followers, you know, that may be the case, but probably more than 50%.
Speaker: Again, that's just an assumption, but more than 50% of them may be because of their quality.
Speaker: Okay.
Speaker: So what we're going to do is we're going to do a recommender system then.
Speaker: Okay.
Speaker: I don't know if you agree with that, but I mean, to get the viewers like seeing good quality stuff, you know, at least at the start.
Speaker: Recommend the system then.
Speaker: So, because it's a system that we will implement.
Speaker: We'll see if, how that affects things.
Speaker: Yeah.
Speaker: Because we do want the people to be found.
Speaker: That's part of it, right?
Speaker: We do want the people who are underdog sort of feeling people, or maybe after someone's been in
Speaker: On the app for a while.
Speaker: Yeah.
Speaker: So we can have a discover new artists or something like that.
Speaker: So we can always say we can bias the system.
Speaker: We can add a bias that if it's a performer that's never been on any event before, put them at the top.
Speaker: Yeah.
Speaker: So they get preferential.
Speaker: So new people get preferential.
Speaker: So it's not stale.
Speaker: Yeah.
Speaker: Yeah.
Speaker: But we'll have to put some, what do you call it?
Speaker: dials in there to say, okay, it's a new person for this event, but they're getting no votes after seven days.
Speaker: Then they get sort of, you know, dropped off.
Speaker: They have to be new and some kind of engagement because there could be a reason.
Speaker: There could be just such a bad, you know.
Speaker: That's what I mean.
Speaker: Somebody just filming a brick wall, you know.
Speaker: That's what I mean.
Speaker: If we keep getting that as your first view when you're first coming in, what's this?
Speaker: Yeah.
Speaker: Yeah.
Speaker: Okay.
Speaker: So there's some, okay, that makes sense.
Speaker: Okay.
Speaker: So the recommender system will come in.
Speaker: So before we do the recommender system, I'll do random.
Speaker: So random is a design choice between you and I to say, okay, because it's simple.
Speaker: I can put it in there, right?
Speaker: AI for recommender system backend is in part of the roadmap.
Speaker: Yeah, that's fine.
Speaker: But that recommender system only works if you've got thousands of videos.
Speaker: It doesn't make sense with, you know, 10 videos.
Speaker: Yeah, that's right.
Speaker: That's why the random or something like that is anything that's a small amount.
Speaker: Yeah, the recommended system needs at least 1000 people.
Speaker: I don't know the number, but let's just say 1000 because that's just an easy number.
Speaker: 1000 videos and 1000 users, you know, and then I said, okay, we got enough data there.
Speaker: Yep.
Speaker: Sounds good.
Speaker: So that may come into play as soon as we have those double events coming in, depending upon how hard that is to do.
Speaker: That would be fun to implement.
Speaker: And then the other AI is I'm going to do an AI
Speaker: to find out which are the most popular ones.
Speaker: We'll know where the ones like, there's enough data, AIs tell, like, we don't need AI to tell us that, who's winning at the moment.
Speaker: The G-H-Z-Z, you know, that's because, you know, one person likes that one, right?
Speaker: I don't know the data, I actually have to look, but you know, there's only one or two voters for that one, right?
Speaker: But if somebody has a lot of votes, and it's a spread a lot across a lot of people that are voting, that person should be more,
Speaker: that would be more akin to, Hey, this is a popular person.
Speaker: Uh, and then we can say all these popular videos, uh, we can then come up with the data points and say why these ones are popular.
Speaker: I've just lost your video.
Speaker: Is that my video or your video?
Speaker: Yeah.
Speaker: You've sort of, you've sort of like lost, I lost.
Speaker: You got my audio.
Speaker: Yes.
Speaker: Okay.
Speaker: Audio is there.
Speaker: My video is still streaming.
Speaker: Okay, so is mine, but you're blurry to me and I'm probably blurry to you.
Speaker: So it's one of our ends.
Speaker: Yeah, yeah.
Speaker: It doesn't matter.
Speaker: This thing comes together in high quality.
Speaker: Okay, cool.
Speaker: Yeah, so do you understand what I'm saying there?
Speaker: So you've got a broad spectrum of voters and a high vote.
Speaker: We can get the AI then to make recommendations to performers to say, hey, if you want, this is what makes a popular video.
Speaker: Yeah.
Speaker: Okay.
Speaker: we're defining pop music here, but it is a popularity contest.
Speaker: Yep.
Speaker: Right?
Speaker: You don't have to be the most talented.
Speaker: You don't have to be the most talented, but you'll be the most popular.
Speaker: Yep.
Speaker: But at least we're giving the idea of how to be popular to everybody.
Speaker: Yeah.
Speaker: And hopefully taste change over time.
Speaker: So what's popular in January is not going to be popular in April, because people are going to get sick of that.
Speaker: But the AI is going to be keeping up in the patent thing and the recommendations to people to say, hey, do that.
Speaker: And we can create videos automatically on how to be popular.
Speaker: So I can get AI to generate the text, generate the videos, and generate the examples.
Speaker: And all of that is just – that's where I'm going to put AI in.
Speaker: So all of that generative stuff is just going to be automatic.
Speaker: Yeah, good.
Speaker: And that could go across.
Speaker: See, that's a tool that can be used across other social things because, you know, how do you make a viral TikTok?
Speaker: Yeah.
Speaker: You know, so TikTok knows how to make a viral TikTok because they've got the data, but they're not sharing that data with people.
Speaker: No.
Speaker: Third-party companies are doing that.
Speaker: So they're like YouTube.
Speaker: You used to be able to go into YouTube and you can get all the data about
Speaker: Well, they'd learn.
Speaker: Professional YouTubers are really good at it because they'd learn that if a video is 11 minutes, it's going to get more revenue if a video is nine minutes.
Speaker: They get all that because they analyze, the YouTubers analyze that information.
Speaker: YouTube doesn't give them that recommendation.
Speaker: But we will give the recommendation and say, if you do all this, you're going to get more revenue.
Speaker: And that's the difference between us and other social as well.
Speaker: Which I think is good.
Speaker: Very, very good.
Speaker: It's positive.
Speaker: Which is what we're about.
Speaker: We're about giving them the ability to succeed.
Speaker: We'd like to give them the tools.
Speaker: And if they're willing to learn and listen and research, et cetera, like you just said, watch the videos or whatever, they're going to get ahead.
Speaker: Yeah, that's what it is.
Speaker: It's a full-time job.
Speaker: Okay, anyway.
Speaker: All right.
Speaker: So anyway, that's not the purpose of this talk.
Speaker: The talk actually did something that I said we shouldn't do, which is talk strategically.
Speaker: It's just that this has been such a long podcast.
Speaker: It's about four hours now.
Speaker: Yeah, it's like 16 hours.
Speaker: But yeah, we're looking at the, so the trial week is going well.
Speaker: You're happy with progress, 20 people a day.
Speaker: We'll probably have to get 30 people tomorrow.
Speaker: to be able to catch up to 200?
Speaker: I think Friday, Saturday will be a little bit higher just based on the fact that we... Yeah.
Speaker: So most, well, you need 70 people or 80 people in the next two days.
Speaker: Yeah.
Speaker: That's if we get another 20 tonight, it'll be 70.
Speaker: Okay.
Speaker: And what's the next KPI or KPO for next week?
Speaker: How many we're expecting?
Speaker: An additional?
Speaker: I think depending if we succeed at the 200, we were talking about 250 to 300 each.
Speaker: So the same performance.
Speaker: Increase a little bit, but not double, but just a little bit higher.
Speaker: Yeah.
Speaker: Okay.
Speaker: So are we going to have the same performance perform again?
Speaker: They will be invited to perform again, yes.
Speaker: Yeah, okay.
Speaker: Because that's very, very important.
Speaker: Plus new.
Speaker: Yeah.
Speaker: Because remember the problem we had with the original Dream Slip is every time there was a refresh of performers, we lost all the supporters.
Speaker: Yes.
Speaker: So we always only had 50 people active for every event, only 50.
Speaker: Even though we had 7,000 people, only 50 were voting every time.
Speaker: And it was a different 50.
Speaker: Yeah.
Speaker: What we want to do is we want to have the same 50 plus another 50.
Speaker: Yeah.
Speaker: Actually, I think the KPI needs to be higher for next week because we're going to have dual events.
Speaker: If we get Brent event on as well, the KPI should be an extra 200 on top of that.
Speaker: No, no, but what's Brent saying?
Speaker: What's he going to say?
Speaker: I'm going to bring in 200 or is he saying I bring in whatever I can?
Speaker: Well, he believes that he's going to do 20 videos.
Speaker: He believes that he'll get 20 videos onto his event.
Speaker: And then he said he'll take it out to his community.
Speaker: But he's the event manager.
Speaker: So he's got two things he's got to worry about.
Speaker: And this is where we have to give the document on how to be a good event manager.
Speaker: He's got to get the performers in and he's got to get the votes in.
Speaker: Yeah.
Speaker: And the votes, the more votes.
Speaker: So he has to promote this thing.
Speaker: Yeah, he will be 100%.
Speaker: Yeah, to his community, which is thousands of people.
Speaker: And he's doing it as an event with his a couple of hundred people at the event.
Speaker: Okay, so if we can get 100 people.
Speaker: And then the other thing we'll have to do is very... Let's... I lost my train of thought now.
Speaker: It's getting late for me.
Speaker: Yeah, it's getting late for me too.
Speaker: Something to do with moderation, anything like that?
Speaker: I don't know.
Speaker: No, no, no.
Speaker: It's to do with other numbers because this week was supposed to tell us do we have that spreadsheet calculation correct?
Speaker: Yes.
Speaker: So we will debrief at the end of this event to say, okay, from one event...
Speaker: first week event, this is the revised calculations.
Speaker: And then next week, next Saturday, we'll have a revised calculations again.
Speaker: But we don't lose the original calculations because that original calculations were based on the original Dreamstip.
Speaker: Yeah.
Speaker: Yeah.
Speaker: And I mean, the other thing is, you know, later on, there may be a, we do our own ads and then the revenues are a lot higher, which changes everything again, you know?
Speaker: So yeah.
Speaker: We can only do it on the current.
Speaker: So you should have to keep all the different data points.
Speaker: This is how it was then.
Speaker: This is how it was then.
Speaker: And then this is how it was then.
Speaker: This is how it is now.
Speaker: That all helps us to build a number.
Speaker: Yeah.
Speaker: And a nice thing would be if IonSource would be coming to the party.
Speaker: It would be beautiful.
Speaker: Yeah.
Speaker: So we're just going to get to at least 1,000 plus.
Speaker: So I'll just aim to get that quick.
Speaker: Yeah.
Speaker: Okay.
Speaker: Well, thank you very much.
Speaker: And like you said, we're not doing anything wrong.
Speaker: We're just waiting our turn.
Speaker: And I think it's just based on flow, like you said.
Speaker: So we just get more flow.
Speaker: No, it's good.
Speaker: I think we have the recipes working.
Speaker: Okay, I'm going to do the outro now.
Speaker: Have a good night.
Speaker: Is the outro working?
Speaker: Come on.
Speaker: And that was another episode of Dream Sleep with special guest Nicholas.
Speaker: And my name is Robert.
Speaker: And whoops, not dramatic.
Speaker: And the music.
Speaker: Let's watch it.
Speaker: And that was another episode of Dream Sleep.
Speaker: This episode is so long.
Speaker: It's time for everyone to go to sleep.
Speaker: It's only 30 minutes all up, but it's been a whole nearly half a day for us.
Speaker: Okay.
Speaker: Yeah.
Speaker: No worries.
Speaker: Thank you very much.
Speaker: Yeah.
Speaker: Thanks.
Speaker: Bye.
