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AI Betting TIPs & Predictions with The Crowd's Line

AI Betting TIPs & Predictions with The Crowd's Line

Guest: The Crowd's Line

📅 March 11, 2025 ⏱️ 38:40

About This Episode

Meet Conor Cassidy and Justin Nelson from The Crowd's Line or TCL for short.

These 2 gents did this interview for me just before NEXT.io event in New York City. 

I got to go back to my days of professional gambling to ask these guys what's new in the world of sports betting.

In fact, quite a bit is new and the data that can go into the predictions market is beyond what I could imagine. 

How to reach The Crowd's Line

Guest Links & Socials

Full Transcript

you could actually read through a Reddit thread right and figure out if there's someone who's really good at making predictions out there and these are things you could never do before so we're actually augmenting and complementing the traditional modeling proo and techniques with these less structured data sets which could unlock just a ton of potential I'm John Wright and you're listening to affiliate bi the business intelligence and affiliate marketing podcast brought to you by snap welcome to the philate bi podcast today we're chatting with Connor

Cassidy and Justin Nelson from the crowds line or the crowds line. I'm G to pass it back to both of you to tell me what do you guys do at the crowds line and what is the crowds line awesome thank first of all thanks for having us John I'm Conor Cassidy I'm based out of New Jersey former banking guy worked at Bank of America for seven years and got to the point John where you look at your boss you're like do I want to be this

guy right so I'm a Sports Addict right I every night I'm watching all the games I got a couple TVs in my living room so I I wanted to go into sports analytics and sports betting naturally fit into that so here at the crowds line we're basically a startup that's doing sports analytics predicting Sports trying to capitalize on inefficiency inefficiencies in the sports betting markets almost as if we're Traders on Wall Street so my role on the team I'm the product manager sure they brought me

in to do Finance work but I'm involved in a lot of areas of the business and we're going right to Consumers giving them access to predictive models that they can use to help improve their betting experience and I'm going to pass it to Justin because he's actually the brains behind our models and he makes all the magic happen hi I'm Justin Nelson before this I was doing Quantum Finance for about 20 years before this in the last 10 or so years was building systematic trading strategies

in the future space so trading Commodities and currencies and agencies um buil some very systematic trading strategies one involving the large on neural networks I had two hedge funds in a robe out of business Army the theault of other people within 18 months was on the sidelines trying to see what's to do next and thought you know what I could use the change Anthony reached out to me I used to work with him way back in 2009 first starting out he reached out to me said

and with this idea and I said yeah let's do it go first more with sort of playo Arts language models we're building on top of them try to build like a sports analyst bot but then we had a third party for our betting recommendations I started looking into their recommendations how they were doing like uh there's some signal here but they're not it's not profitable it's not good but it's definitely positive signal so I just need some more signals so went out and just out a

bunch of other sources and and then that's how we can actually came to the thing where where the NFL season 2 Season back and all a sudden I was like hey guys I think I built a player prop betting model and we started tracking it and started doing pretty well we shifted more Focus toward that to back up I'm kind of sports analytics here at TCL soing leading the charge on the the model building first for the NFL NBA then lb so now we're in our

second season second go around and they just you've learned I've learned a lot and cars he's really stepped up done a lot of different things like he came in we like said look do some Finance some some some market research and now he's basically the second best developer on the teams he's come been very helpful also you knew Sports bet a lot better than I did I knew sport pretty well I played football even through MIT all four years at MIT go bers but so that's

BR this where I know the best he's been it's been a really good really good sort of connection between us to help out that information yeah it's been very interesting year and a half or so yeah it's an interesting background some of you guys have because it's I know like you and Anthony have banking backgrounds and there's like the communities in my opinion almost intersect a little bit you've got the sports betting Community you've whole Wall Street bets didn't Robin Hood jump into the game with

wanting to offer like betting and then of course we see like the the rise of a political betting so it's I think it's the right place in the right time you see a CI snuck in yes contrast for a betting sports betting the cmtc didn't realize that they were doing it until after it was done which is brilliant I have I've only read about that a couple days ago I'm like how did they get this through and it looks like they just said this is what

we're going to do do you approve yes we approve and then it was very Ambiguously worded it was definitely worded in such way that if you reading quickly you would you would not think oh Super Bowl right there definitely not it was wored to get our under the wire it's just proof that people don't read the terms conditions let's be let's be realistic all right so I'm gonna dive a little bit deeper into TCL what makes it AI yeah so I I'm going to let Justin

speak on this one but essentially like Justin said we came in and and we see what's happening these large language models right chat GPT absolutely incredible tool we're all on it and the one thing chat GPT would not do is if you ask it a sports beding question it would say sorry I don't talk about that topic so when we came in we said we want to be the chat GPT for sports betting so Justin and some of our teammates have tons of experience in this

area but quickly that changed right chat BT is now actually open to answering questions like these like these knowledge that's before like you did you have to do a bunch of work to get real time knowledge now it's just there yeah so it's pretty impressive so we still see an opportunity to leverage generative AI to actually pair together with our service right because what we've learned is users all have different preferences of what they want to bet on whether it's overs or unders or they want

to bet on the Nicks only or they want a parlay right so it's hard for us actually to capture that in without without without we can do it but it's much easier and more personalized we could do it with generative AI so with that said all of our models and Predictive Services are leveraging machine learning techniques that uh justtin can speak at better than me but essentially we're able to crowdsource all of this data and forecast uh from third parties so there's tons of forecast John

for how many points LeBron James is going to score tonight so we're actually able to take that in and the Machine learning model model is able to study this through time at a level that a human brain could never do for example which predictor is the best in the morning time before there's all these injury reports who does the best after the injury reports comes out these are analytics that it's just insights that we can tease out using the machine learning algorithms that helps remove some

of our human bias which is our number one issue with sports betting right is bias and we're able to form what we found is strikingly accurate prediction prediction prediction that smooth out the the biases and help us make informed decisions using some of this new technology that wasn't available before and Justin I'll let you talk about the modeling yeah you know we're starting to add some light LM as aspects to it for for the inure report type stuff we stting about a month or so back

we got to we're scraping errs we found certain Twitter anals which are pretty good at injuries looked at their history and now we're scraping that and using that to adjust because we're using these third party projections right so injury news comes out the Market's got to move immediately but they they're human beings on their side that have to go and update their projections and so their projections are not going to update right away we basically look like we look at oh does this Source still have

a number for LeBron James side because he's just been an now out if they still have a num for him that means they don't know he's out yet okay we're g to drop them till they figure that out so this helped a lot to just get rid of the market moving faster that our sources can move but besides that yeah a lot of machine aundry l the machine learning techniques are being done they have the sources that get you to expected value and machine learning is

done is evaluate their historical performance of different vent types and it's normalized across a lot of different things you're not getting weighed down by by by liers but then there's also a ton of work being done on Circle game data because we we the sources can give us an expected value but the sort of the general idea of the model is is to get to a median the 50 percen to on the distribution and then to be able to build a probability distribution around that so

we have a full probability distri distrib for all the different bet player bet types which allows us to price out the alt bets and it's actually an area that we're doing extremely well the alternative bets the higher odds this is measuring Vol and correlation something when you're trading Futures you got to know that stuff pretty well way more than even equities like because the volatility in Futures land varies a lot AC CA AET types the correlation structure of theirs are very complex had a lot of

I you personally done a lot of sort of research and methodology building on on top of them stuff that's where the model really shines is getting the Tails a lot better than a lot of the people and getting the correlations right built just to put some risk magine in there so you're not betting on the same thing over over again so you know there's a ton of act there's also just some very there's play of really simple stats that work very well if you do it

correctly it's not all the latest Buzz work in there either it's just old school stat stuff going on there too but yeah a lot of machine learning we're starting to do a little more language vs like I mentioned earlier we've always thought the idea was to build a chat out on top of the sand legs to make it easier for easier for the yeah the way my small brain thinks about this stuff John is a lot of the models today are built off traditional data sets

right a structured table of data right and I think the opportunity we're seeing and that we're actively deploy or building out our capabilities is leveraging these large language models to find predictive signals in less structured data so you could actually read through a Reddit thread right and figure out if there's someone who's really good at predictions out there and these are things you could never do before so we're actually augmenting and complimenting the traditional modeling approach and techniques with these less structured data sets which could

unlock just a ton of potential so what you're saying is we should just redact and and block out what you just said because we have some competitors that could be listening to this the this the details that's there's a a long line of talking to to investors and J flers about my quad strategies and knowing that I can give away a decent amount because all there's so many little decisions in there that that make it work that the overall structure is great but you need a

lot of work to go from the broad idea to actually something that works yeah so I got a a question where and I've got a background in professional gambling and where is this app going if this is this meant to be something that's on average going to produce winning strategies or is this to minimize the house edge of the pain that you're going to experience because let's just fast forward we've got a sports book like Pinnacle that's been almost amazing from day one for 20 plus

years of actually knowing exactly how to do the odds because the founders background to my understanding is like they knew Odds inside better than anyone else now we have an ability to aggregate the stat and and come up with like what should the perfect odds be and then what should the perfect odds be for that player so is this a cat Mouse game where you're gonna get so good that your account gets banned where do you see that where's this end game going yeah so great

question so I don't know if in post- production editing you have the ability to put a visual on but we can show Justin's just so our model it it actually tells you the optimal combination of bets to do at any time so scanning across all of these Sports books analyzing every single prop and saying do this and wager this exact amount and Justin's been doing this and just in the last two months he's went from 5 ,000 to 55,000 or 57,000 something like that so we'll

show the screenshot but screenshot but essentially and now basically every book okay that's what I thought because that that's where it gets complex because it's when I look at other examples of okay we have poker over here you've got poker Bots that if you're a player you want to know if you're playing a bot and then of course in in the world of Chess you have the same thing you've got perfect play where you can just get annihilated obviously because they're saying when we're talking about

poker and sports betting there money involved you're just going against the house but yeah it'd be great to have a winning strategy up until you you get banned yeah exactly where do we see it going if you wanted to make a lot of money you could follow it to a te right and that's what Justin's doing and we do recognize challenges there because you can get banned because we are so good at doing this but if we just take a step back John the opportunity we

see right now is the sports betting industry is competitive on all fronts right comp for us there's a lot of companies trying to do predictions it's competitive for the sports books operators so FanDuel and Draft Kings have a a stronghold on the market share there but there's all these other players looking to gain market share what are they doing to try to differentiate themselves they try to offer more bets and more things to bet on true and with while Pinnacle is fantastic at setting the lines

on say the over under for the game or the spread or who's going to win there's all of these new markets coming through where you go and you can bet on how many free throws a player going to make in the first quarter exact numbers of of of that now is also work there like four assists yeah what's the challenge here John that we're we're keying in on and picking apart picking apart is Pinnacle comes out and they set the game total on an NBA game

to say 239 and a half right over under and then that some smart B comes in and Bets the over and they move that line up right to 200 say they shave it up or move it up two points what does that mean for all the player profs who's going to score th those two extra points right and what quarter is going to happen and is it going to be a free throw or a two-point shot so while the sports books excel at setting the prices

for many of the traditional bets there's all these new betting markets that are coming out that are not priced efficiently so the sports we know the sports operators are struggling with this John we see an opportunity to do one of two things or both is we Justin's an expert at at predicting these micro markets so we could be giving them our intelligence through an API and helping them price these less standard props more efficiently or we can go directly to the consumers and help them exploit

this and make money so it's a really flexible business model where we do a lot of things yeah originally why we originally said oh let's do a company not just you know run up a hedge fund is because we know the get banned to well so that was always the reason to democratize sell to Consumers because okay okay we can't individually get super wealthy but we can just spread it out to everyone and each in his F can do better than what they have been doing

humans are humans they're got they got list the model some they're got to take their own V out take their one shots and this this allows them to do that they can basically have this sort of balance and if they were okay but I have these de on the side would I know I'll make a slight profit and I can use that way to take the long shots that make me happy have about that that's a sort of a good strategy to not get banned inste

cost of taking s Ral tickets and then every now and then one will hit and you're feel pretty good that yeah the idea if you spray out to a lot of people that any the things constantly updating right the lines move that the portfolio comes out again in six vents now it's adjusted to those lines and there's new bets now there's new bets that that appears things constantly juring new bets and the odds move it's projections moves you the the exchanges are coming out which are

peer-to-peer exchanges and those don't B people like that's what I've been doing now since most of the books won't take much more action the all the exchanges there there's some decent liquidity there okay I'm gonna pivot a bit because I'm just thinking out loud if you've got this amazing Tech stack that you've built and you come from the finance space why couldn't you copy similar models and go right back in the finance space knowing which which stocks to buy which ones to trade that bu industry

of trading stocks and currencies is just doesn't it sound like there could be bigger potential in printing money Al also these crowd sourcing analyst uh projections in the in equities markets being done for the last 60 years it's a lot of this has played out somewhat in the financial markets I think I think with the large langy might that's have the opportunity for to to go back to to take this to the finance markets is to the labors leverage large language B get the more some

more not traditional data and then I think with that that that in your SF quer I you can go to the financial Market use so the idea of we were taking these s available sources and sort of the best analogy in the finan world would be the the Sal side analysts which give ratings buy wh sale or tests for earnings whatnot and people have been researching how to combine those signals forever it's there's there's a hundreds of thousands very smart people doing that good I it's

I've never played that world my my Quant models are always basis price and volume but I know that I know people I do that that they can make money doing that the structur is there but yeah I think the ability to take it to finance Market you have to go a level deeper than a dozen experts right you'd have to you have to be Crown sourcing more I always tell there's two ways to win the quad trading space either you have a better model or you

have data that other people don't have and the latter is a much easier way to do to do to do it okay what do you think are the B2B applications of this because you mentioned like this is useful stuff to sports books so they can better price their odds I'd imagine this is what a bookmaker we would want they'd want this power to if they're not building these analytics tools they have to acquire them so what's the B2B potential of this yeah yeah great questions data

science teams are not cheap right so a lot of these companies that we we might meet at a conference or we're networking with they want Predictive Analytics because they see how this is progressing how the this is really what differentiates a lot of companies in the space is their ability to make predictions but it's expensive to to do in-house so we have we've observed a lot of demand for outsourcing that through a company like us right and if you look at the split John between the

B to C world where there's all these companies like us going direct to Consumer trying to sell our predictions right it's like they the consumer is a gumball and we're all ants and we're just crawling towards it all crawling over it trying to get a bite with B2B there's a lot less competition and of the competition there is we track this stuff and we feel so confident we're the most accurate prediction so if you're a sports book you have an opportunity to actually get our forecast

directly transmitted to you through an API and it basically solves the whole problem for them and that would kill off our B Toc business but it would probably be more be more profitable but we also are on the side of the consumer and that we we want to help people we want to make this technology more accessible to the average better the sports books already are using machine learning and AI techniques but the average Joe doesn't right so we see an opportunity to really flip the

landscape and give the power back to the consumers so that's what we're going for right now um but we are actively seeking out Partners to to Really scale this thing to the next level now would these be affiliate Partners as well because it could be anything right affiliate Partnerships it goes without saying we all know what happened what a couple weeks or months ago odd Jam acquired by gambling.com for 160 million it's not too bad not bad yeah it's the beautiful thing about our model John

our business model is we could actually benefit all stakeholders right if you're a sports book chances are getting picked off on a bad line to not get they're not going to lose sleep over it right what they're really trying to do is attract new players new customers and retain those players so with our site our website actually is every six minutes like Justin said is scanning and recommending a a menu of bets saying go do this at DraftKings go do this at MGM so we actually

are holding the keys to driving traffic to these operators so if you're a Sportsbook and you just want to attract new players we can be a great Affiliated partner um where we're giving some sort of promotion to our customer we're pointing them to some good bets and we're delivering a new customer to the operator so it's a win on all sides okay yeah so that's a good example there there um yeah and then as far as some of the I mean we can partner with uh

Affiliates outside of the the Sportsbook business as well um in terms of the company like yours where we want to bring in new players to us and we have a a social media marketing campaign for example we want to track all these influencers helping us get our brand out there we have opportunities to work with Affiliates on that side as well in terms of the tracking and Gathering intelligence about how people are discovering us and whatnot okay I talked about like this endgame scenario where everyone's

just playing perfect strategy because they're just betting perfectly but do you think there's always going to be a demand for the player to be I want this information but I'm never betting again against my team even though that's the right positive EV play where do you see this kind of going where I think communities are going to be where a lot of the the betting players will hang out like they want to talk about their team whether it's their own literally group of friends or it's

in a community let's say you you're an Eagles fan and you just want to talk about that I think there's a time in place where here's the perfect bet at the right time but I don't think everyone's going to be ready to do it unless it was fully automated which maybe is possible but I'm not sure that would just take the fun out of the game if you're just running it on autopilot just a auto yeah now it's a really important topic because what I one

of the coolest parts of my day job is I get to go out and talk to customers and do the market research and when you ask someone in your mind's eye what's a good bet how would you define that I kid you not everyone has a different answer because a good bet means something different you might be an fan you say it's a good bet if it's on the Knicks winning that's a great bet but Justin would tell probably tell you a good V is betting

under 0.5 assists because no one else is betting that so the price is wrong so everyone has a different opinion and that's where the generative Ai and some of these modern Technologies come into play where we can actually capture the unique preferences of individuals and deliver to them what the optimal picks are within their preferences or within their constraints constraints constraints so to go back to your question every if everyone is playing the optimal strategy you're absolutely right it does not work but what we found

is the optimal strategy actually varies by person and we have an opportunity to serve that up at an individual level in a way that wouldn't necessarily conflict you see this in finance markets too you like different investors Traders have different utility functions right you could Bas you have you have two people on on different sides of the same trade and both of them it was good trade for what they're trying to accomplish like it's there is variation what people what people want with situation and people

always got to have their overlays their sort of discretionary got fuel overlays that's great you can bring any more information to the table it's that's just not Hill okay maybe a stupid question but couldn't you argue that your app turn sports betting into a game of skill who said it was it I think it's it it can be a game of skill just like poker but it goes with that saying there's the whole debate about what's gambling and what's a game of skill I've always said

poker is a a skill game sports betting when you know what you're doing it's a skill game and I'm pretty sure like the stock market I'd call that another skill game opportunity where if anything I'd actually call the stock market a bigger opportunity for Absol gambling yeah it given that's much harder to find signals because so many people are trying to find the signals like it's much closer to brain than things which have signal which are easy or FL so yeah and what I'd say John

is this when I acted when I came on like I quit Bank of America and hit the ground running and was making all this money right the truth is when I quit for about one to two years I was trying to actually bet profitably myself and I don't have the data science modeling Quant background as that Justin has without that my result results were very flattish where I'd have a great couple months and then I'd have a poor couple months so there was in that sense

it almost was like a game of chance then when I when I when I discovered the power of really anchoring to these predictive models that are not necessarily looking back but they're predicting the predicting the predicting the future the stability and consistency of my returns has done a complete 180 where now it's much less volatility and more consistency consistency and last thing I'll say is you saw it yourself we started a Reddit a subreddit for the crowds line and I started putting out a pick of

the day there and I kid you not we went I think 25 and three on the first 28 I did and the average odds were like plus 110 or plus 115 they were positive odds on average yeah so I literally asked Justin I said what are the chances of just guessing and hitting this many in a row at that price price price right and it was like minuscule to do that out of chance so we we feel we actually have the metrics to prove that it's

not chance it really is skill we're trying to be you know extremely transparent you know on our website you can see performance you know we we have a a mailing list that allows you to see the the bets uh you know we we're open book you have to build trust with people that's the only way they got usure model so you know we're we're all forward just let people see if everything that's being done because we stand by it it's working okay I've got two more

questions before we wrap up uh one is the challenging question which I didn't prepare you guys for it's about affiliate marketing but I think you guys are still well vered to do it I want to dig back into the app itself what are some of the applications of what this can do so we talked about it's an application that could be intelligence for or a bi tool for operators it could obviously plug in play into any affiliate site I think when you're watching a game there's

a possibility for having a game player that actually overlays the overlays the overlays the and I actually think there's some on the market and then it goes saying this you've got data that could populate it could autorite AI content it could go in a it actually be like a sidebar widget say hey if you're reading this content or you're on this forum here's some live not just live odds but here's live odds with our pick and as the odds change the the the pick can either

stay or dissolve what are some examples what what what did I did I miss yeah Rome wasn't built in a day but but our our goal our vision is to actually be the Kelly Blue Book for sports betting in that we're not all there's all these companies out there claiming yep I have the best model come to me don't go to anyone else because I'm the best right and there's dozens of companies saying the same thing and what we're doing is basically looking around the room

and saying hold up there's a lot of good models out there so we're basically studying all all of these for public forecasts out there and uh coming up with a really sharp consensus of what we feel the fair price should be and it's I mentioned Kelly blue books that's very similar to what they're doing they're crowdsourcing all of this transaction data and from the country and they're able to give you a really precise granular estimate of what your specific make and model is worth given where

you are in the country and what county you're in and the mileage and everything right so we they're the trust most trusted source and that's our goal you know when ESPN Monday night football is showing their analytics on a broadcast um or even Amazon's a great example because they're doing this they have an what they call an ALT cast where their Thursday night game you can go and watch and they actually overlay betting insights so we see a massive opportunity to be that goto source that

is printed everywhere as this is the fair odds that something's going to happen and we see opportunity in fantasy sports as well NFL fantasy's really taken off but in the NDA for example we know they're frustrated actually that their fantasy product hasn't taken off so we see an opportunity to partner with some of the leagues even and leverage our insights to get people excited and feeling confident enough to go and enter some of these fantasy contests that they never would have before here we go with

basketball and baseball fantasy this is basically where the sort of Automation and the really help out because football what it's happen haveit once a week you have all week to think about it you're roster you have time to figure it out do it with basketball especially baseball it's so much work to do fans it's just a ton of work so if you can just build the tools to help people get through that a lot faster they can keep their own insights but also bring in some

new independent ones I think that would help the product right because the big issue is it takes too much time to do on a daily basis tools like this could help people automate a chunk of it and so give them room for their own sort of discretionary when they have it but rely on the model when they don't have the time to do all games so we have the next doio conference coming up in New York city so what are the odds that the crowd sign

gets acquired this year don't answer that we'll wait till after the conference and we'll see how it goes so last question the challenging curveball I'm going to throw your way what do you guys see as the future of affiliate marketing as it intersects with business intelligence yeah I try I'll be honest I'm not as ingrained in that space so I want to give you a great answer but I also don't want to I don't want to talk out of I can get I can give you

the alley oop so I I'll give you a bit of insights of what I've seen uh in the past year and a half and this is why I actually believe you guys have a massive opportunity in affiliate marketing yeah Connor uh I think Jus and we've chatted a bit uh Connor and Anthony quite a bit products are are are floating to the top in the new world of Google Google's saying are you real is a realness behind you not just real people but a real product

you guys have a real product so what's happening in the world of SEO is your ability to generate a link coming to back to your site is easier if you guys actually start doing let's say the Reddit community and it just keeps going and you're stacking all these wins at some point someone might write an article about you like you're only two steps away from actually being written up on ESPN for talking about what you guys do so I think your ability to do SEO the

old way of SEO today or let's say in the last couple years is like you write content you build links and it costs money in time now you've actually got the power where you can almost like just Kickstart that fire yeah there's because there's so much competition anything we can do to stand out would help right I think the challenge that we're all facing is this barrier to trust where it takes a lot of consistent consistent performance or consistent engagement to actually earn that trust and

it's very easy to lose right I think that it's this might not be the answer you were looking for I I feel like this is becoming a marketing arms race where we have the best we are so confident we have the best Predictive Analytics but none of us are marketing guys right so we feel that some other companies are bubbling up to the top because they have that SEO expertise or whatnot so to bring it home I think there is an opportunity to actually partner with

these Affiliates to help us fill that Gap where we can get credit for the great work we're doing in a way that's consistent with some of our peers who we feel are just cheating the system yeah that that's actually a pretty good answer because it's not everyone sees that opportunity that you could actually connect the dots with an affiliate so it's like you can compete with them or you can be a data supplier or or a partner and I think that's actually starting to become maybe

not normal but it's like a new Avenue of affiliate marketing it's not what was done in the past it's what are the new opportunities moving forward and then maybe what I'll do just to wrap things up is give you guys what I think you guys could do to amplify it so Connor you said something that was really interesting which is trust like how do people trust you so when I try to look at my journey of not only starting this podcast but being a SAS company

for affiliates it's like how do I build trust now I didn't know what I was doing but I started a podcast as a means of building trust I needed to put my face out there and make sure people seen me not in the annoying way like hey guys look at me but going what kind of content can I write that's going to be in front of them or one step ahead so I think I mentioned this before I think a podcast could really stand out where

it might be a bit slow like you've seen the experience with uh the Reddit channel it's like it's slow but you never know you're just one post away from things blowing up where like I'll give you an example what if someone read uh posts or copies your post in a in a big Reddit Channel like subreddit for sports that would be pretty crazy where you've actually documented everything so I think uh the things that you guys could do it's like I don't think you need to

do a ton but I think a podcast could actually be a powerful thing we're doing one right now and I think if you can just find a way the link building is an easy thing to turn on just some small wins in some content I think can go a long way like we talked about few competitors and this podcast we put that into writing put that back on Reddit it's there there's a small ranking small wins so you you'll stack them over time and it's if

you've got that good of a product then it's worth it's worth challenging some of the the other ones at the the marketing race yeah and I will say for a small company like us we're so heads down it's easy to have your blinders on you're not thinking about some of these lwh hanging fruit that could actually take us to the next level I think folks like you not only nudging us and saying guys you got to do this but also educating us on why we have

to do it I think it's really helpful so we have really appreciate always the engagements with you and we look forward to seeing where it could grow and and you do have one superpower in that which is you focus on one thing and do it well so even though you could say let's spend a bit more time on SEO but imagine if you did that SEO would have been growing but you wouldn't have the product have today there's I don't see a wrong Playbook here yeah

like a chicken or the egg kind of thing right I think we're to the point out where we basically it took a lot of work just to get all the models to the point where we're cable now we're well past that point and now it's time to put more effort on the other side because I'm obsessive person I've just had my head spe models and I could do that all day and so I need to stick my hand out head out of the sand sometimes and

and do more of these things to get get people attention Okay I'm gonna pass it back to you guys to say thanks a lot for doing this Justin and Connor I want to give it the microphone back to you to say where can people get a hold of and it goes with saying post some social tell me the Social Links of where you're posting these PS because if you just said you've got what was it plus 100 odds 25 and three or something like that what

was it yeah yeah that that was our D we got to follow you so that's going in the show notes let let's hear it yeah thanks John so first and foremost you can get our models predictions yourself right on our website www.thec.com and that's where we have free content so you can actually see the model's 10 favorite picks at any time completely free across free across Sports and if you want to see everything you can literally search any prop you're interested in and see what the

model thinks we have very competitive subscription options so that's where you can get everything yourself and then we are posting featured content so a featured pick of the day which is going out on our Twitter or X social media which isth crowds line Ai and our Reddit our subreddit which is also called the crowds line AI or sorry it's the crowd I think that's just the crowds line got it Justin how about you yes just my own personals so if you're on any of the socials

if we can follow in as spy on what you are posting about if you're giving any good gossip or tips away from you know yeah our content mainly is those official GS that car mentioned but yeah I'm on Twitter my handle is Justin does math nice all right gentlemen thanks a lot looking forward to seeing you guys for the first time in New York City at next.

thank next. thank you yeah looking forward to it thanks John thank you for tuning in to the affiliate bi podcast I'd like to take this time to ask for a small favor to leave a Reading and Review wherever you listen to your podcast that helps us expand our reach to rank higher in podcast directories and reach more listeners