You open LinkedIn to check on three prospects and a former colleague you met at a conference. Twenty minutes later, you have read a stranger’s hot take, scrolled past four ads, and still have not seen a single post from the people you meant to look up.
Judi Fox stopped asking the algorithm for help. With Claude, a Google Sheet, and her existing Squarespace site, she built what she calls rooms: small, hand-picked groups of up to 29 people, each one a single tap away from a LinkedIn feed that shows only their posts. On this episode, she opens the app, walks through a room she built in under an hour before an in-person event, and shows the admin page where she adds people to it.
Once you work this way, networking stops depending on what LinkedIn decides to show you. You decide who matters, you show up on their posts consistently, and you arrive at events already knowing names, faces, and job titles.
The short version
- A room is a curated list of up to 29 LinkedIn members, and one tap opens a LinkedIn feed of only their posts, with nobody else in it.
- Judi built the rooms as a minimum viable product with Claude, a Google Sheet, and her Squarespace website, and she carries it on her phone.
- Rooms cap at 29 seats because each feed link carries every member in the room, and past that point the URL gets too long and breaks.
- The tool does not scrape LinkedIn. It builds the links ahead of time and sends you to LinkedIn’s own feed.
- Before RVA Showcase Night in Richmond, Virginia, Judi built a room from the people who had liked and commented on a post about the event, and recognized attendees by name when she walked in.
- Judi tells her clients not to use AI to draft their LinkedIn comments because the result repeats the post back and adds nothing of their own.
Episode timestamps
00:00 A room she built before an in-person event
01:26 Why she stopped letting an algorithm pick her network
02:59 Why Sales Navigator is overkill for this job
03:56 Start with the complaint, then ask how to fix it
05:37 Clubhouse meets Google+: what a room is
06:07 Vouching people in and filling the seats
07:37 Rooms for prospects, partners and future employers
09:09 Building a room an hour before RVA Showcase Night
10:51 Recognizing faces on her phone at the door
12:26 One tap to a contact’s posts after the event
14:35 Why every room caps at 29 seats
15:39 It sends you to LinkedIn; it never scrapes it
16:00 The curator page and the step she keeps manual
18:39 Don’t let AI write your comments
20:35 Network the prospect’s circle, not the prospect
22:58 AI that surfaces moments instead of faking them
Why she stopped letting an algorithm pick her network
Judi’s starting point predates AI by years. At 01:30 she says letting an algorithm decide who she spends her time with seems wrong at a basic human level, because no algorithm can know which people she actually wants to hear from. Around 2017 she began keeping track of the people she had not seen in a while, first as browser bookmarks, then in folders, then in a spreadsheet. She is an engineer by training, so columns and sheets were the natural next step, and a spreadsheet costs nothing to run.
The obvious objection is LinkedIn Sales Navigator, which is built for exactly this kind of focused list. Judi’s answer at 02:59 is about fit, not quality. Sales Navigator costs at least $1,000 a year and comes with enterprise features. If you need those, buy it. If what you want is a feed full of people you care about, it is overkill.
Mike adds the history most of us remember. Google+ had Circles and Facebook had Lists, so you could follow a chosen group without fighting the main feed. LinkedIn never offered an equivalent, which is the gap Judi’s rooms fill.
What a room is: Clubhouse meets Google+
Judi’s build started with a complaint rather than a feature list. At 03:56, she points to an article about organic reach on LinkedIn getting harder, and makes the case that we should be able to curate our own experience. She also wanted rooms that leave out people posting AI slop. She is not against AI; she wants to connect with real people.
Her description at 05:40 is the clearest one in the episode: Clubhouse has a baby with Google Plus. From Clubhouse, she took the idea of vouching. Early Clubhouse felt like a room where everyone knew someone else, and everyone was real, because you only got in if someone vouched for you. In Judi’s app, the curator vouches each person into a room.
Each room shows its members’ photos and a seat count. Her AI Voices room, which includes Mike, showed seven of 29 seats filled. That is on purpose. A minimum viable product has to start somewhere, and she adds people over time. She also likes that the visual layout keeps people top of mind even when LinkedIn never shows her their posts.
The rooms she showed on screen are examples. The rooms she builds for clients stay private, and she is preparing a static public version of the page to share.
Building a room an hour before an in-person event
The best demonstration in the episode came from the night before the recording. Crystal had posted about RVA Showcase Night, an event in Richmond, Virginia. Before Judi went, she listed the people who liked and commented on that post and built a room from them. She says the whole build took less than an hour. She was also presenting the app to the crowd that night.
The room went with her on her phone. At 10:51, she describes scrolling it as she walked in, which looked like she was just checking her phone, and then walking up to Claudine already knowing who she was and that she was the office manager. That familiarity, she says, had never been possible before because she had never had something on her phone that showed her who would be in the room.
The room keeps working after the event. Tap one person, and LinkedIn opens a feed of just their posts, which is how Judi found Crystal’s recap of the night, with photos of Jay, Megan and Claudine. Tap the room’s feed button, and you get every post from all 23 attendees in one scroll. In Judi’s words at 14:21: she does not have to have a news feed on LinkedIn that she does not like anymore. She cares about these people she met in person and wants to stay engaged with them.
Mike points out who benefits most: anyone who struggles to put names to faces. A little homework before a conference, whether you are speaking, attending, or organizing, turns a room of strangers into people you can greet by name and title.
How the feed link works, and why rooms cap at 29
Mike’s reading of the screen at 14:35 is that each room’s button is a custom URL with every member’s profile built in, something you could assemble in LinkedIn yourself if you were patient. Judi confirms it, and names the limit she discovered the night before: past roughly 29 people, the URL gets too long and the link breaks. That is why every room has 29 seats.
She is also clear about what the tool does not do. At 15:39, it is not scraping LinkedIn; it is sending people to LinkedIn. It decides ahead of time what the URLs will be and opens LinkedIn’s own feed. She has no plans to sell the app or put it in an app store, and she says plainly that it has broken a couple of times. It is an MVP, and she treats it like one.
The admin side, which she calls the curator page, is a simple form backed by a Google Sheet. Adding someone to a room fills a row in the sheet. One step stays manual on purpose. Judi tried letting AI find each person’s LinkedIn profile, and it often returned the wrong one, matching the right name to the wrong company. So the form requires a human to paste the correct profile URL. Mike recognized the problem: when he asks Claude to research people, he finds it is right maybe 60% of the time. Judi has since added the option to build feeds of companies, not just people.
She does not show the Claude side of the build on screen, so this episode is about how the method works rather than a copy-paste prompt.
Don’t let AI write your comments
A feed of the right people only helps if what you say on their posts sounds like you. Judi’s first rule at 18:41 is blunt: do not use AI to draft your comments. It reaches for words you would never say in conversation and drifts into the uncanny valley.
She teaches clients active listening instead. She has heard the claim that AI can do active listening, but in her experience, AI comments repeat the post back in an unnatural way and add nothing. Her example: “Wow, Mike, that was so insightful. Thank you so much for sharing that,” with nothing in it that came from her. Over time, she says, those comments feel empty to the person receiving them.
Mike connects it to the character diamond: the North Star value and the contrasting value every person carries, which AI does not have unless someone takes the time to define them. His conclusion matches hers. Each of us needs to set aside regular time to read the posts and write the comments ourselves.
Network the prospect’s circle, not the prospect
Mike opens the results question with a client of Judi’s who closed a $30,000 project and credited it to showing up on one prospect’s content again and again. Judi’s answer explains why that works, and it is not the obvious one.
Building trust takes touchpoints, she says, often 10 to 20 of them. If you only ever comment on your ideal client’s posts, it looks thirsty. Show up where their peers post, and your name keeps reaching them through people they already trust. Her example at 21:53 is a prospect named Parker who knows Jenna, Haley, and Michelle. If Judi spends time in that circle, Parker sees her comments on Michelle’s posts and Julia’s posts, not just on his own. You start to feel familiar, and your name comes up as a referral or a connection.
That is why Judi now calls herself the curator. Picking the right people for each room is the work, and it is what gets her clients results.
Mike’s note for anyone without an app: you do not need one to start. A spreadsheet or a folder of bookmarked URLs works. What matters is having a plan for who you are trying to network with.
Use AI to surface the moments, not fake them
Asked how this has changed her client work, Judi widens the lens. AI lets us get to the human things that make us trustworthy faster. She has heard the argument that AI will reduce trust, and refines it at 23:21: AI can accidentally create micro-disappointments of trust. Used well, it gives us the ability to be more intentional with our time.
Mike sums it up: do not use AI to automate the interactions. Use it to find the opportunities for interactions that build trust.
Grab the Episode 11 Blueprint
The 60-Minute Event Room: a room template, the Claude prompt that turns an event post into a guest list you check by hand, a day-of phone checklist and a one-week follow-up plan. Download it here.
CONNECT WITH JUDI FOX
Full transcript
Judi Fox: It immediately opens up her newsfeed of just her posts. Look, she made a post. I’m here, I’m sitting right there. I look very interested in what’s being discussed. I remember Jay. I remember Megan. That’s Claudine. The ability to immediately know names and people is because of this connection. And it took probably less than an hour. I don’t have to have a newsfeed on LinkedIn that I don’t like anymore. I don’t have to worry if LinkedIn’s going to show me stuff that I don’t really care about seeing. I now care about these humans that I met in person, and I want to stay engaged with them.
Mike Allton: Welcome back to The Lab. I’m Mike Allton. LinkedIn picks who you see. The people you want to network with get buried. Today, Judi Fox, founder of Judi Fox Consulting, shows us the Claude-built feed that helped her client close a $30,000 package. Hey, Judi, welcome to the show.
Judi Fox: I’m excited to be here.
Mike Allton: I always love talking to you. I always learn something, whether you’re on the show or we’re in person. But Judi, you and I both know how to train the algorithm. You pick the people you want to see, you comment on their stuff for a couple of weeks, and then you wait for your feed to catch up. But that kind of takes forever. When did you decide you were done waiting and wanted to build your own?
Judi Fox: Years ago. This predates AI. Letting algorithms decide who I should spend my time with seems wrong at a very basic, human-to-human level. AI, the algorithms, and the world can never know that I want to spend my whole day with Mike. They just can’t know.
So the power of knowing who you want to spend your time with probably dates back to maybe 2017 or 2018, when I was on the internet thinking, “Hey, there are a few people I haven’t seen in a while. How do I make sure I see them?” And it started as simple as creating bookmarks and having a folder. Then, of course, I’m an engineer, so I wanted to immediately make a spreadsheet, because Excel and Google Sheets merge well with being an engineer. I get to put people into columns and sheets, and it made a lot of sense to my mind. It’s also the simplest thing that’s low cost that you already have on your computer.
Mike Allton: Yeah, and it’s kind of sad because other networks have worked around this. Most famously, Google+ had circles, and you could put the specific people you wanted to talk to in them. Like, Judi was in my number one circle; I always wanted to follow what Judi was saying, right? Facebook had lists and so on, but LinkedIn has never really cracked this except for one exception, because there are tools that are supposed to help with this. Sales Navigator is the obvious one. What was it about those existing options that made you think, “I’m just going to build this myself”?
Judi Fox: Sales Navigator is at a minimum $1,000 a year, and there are enterprise levels for why someone would want Sales Navigator. I don’t want to diminish that, but it’s overkill for the simple moment of, “Hey, I just want to see people that I want to see on a regular basis.” So if you need Sales Navigator for all the other tools and bells and whistles, yes, get Sales Navigator. But if you’re over here saying, “I just wish my newsfeed was full of people that I love and I want to care about, and I want to see,” well, then come hang out with me.
Starting With the Complaint
Mike Allton: I completely agree. The UI of Sales Navigator alone is a struggle. But let’s jump into the tech. Show us the app, pick a room, and walk us through it. Who’s in there? What happens? What are we even talking about when I say “app,” because we didn’t even really mention or preface what we’re showing. How did you solve this?
Judi Fox: Let’s start with the complaint, because that is where our problem lives. We complain about our problems. So the first place to start is literally saying, “I’m reading an article right now talking about how organic LinkedIn is going to become harder and harder to break through, and we’re stuck scrolling that main newsfeed when we should be able to curate our own experiences.” I had been curating my own experiences, a little clunky, in spreadsheets. But looking at all the tools we have out there right now, like Claude Code, Squarespace, and Google Sheets, so many options are available to me right now. Why not ask, “How can I do this?” And also, “How can I avoid putting people in the room who are posting AI slop?” I’m not against using AI, but I still want to connect with real people throughout my scrolling experience.
Mike Allton: So walk us through this process and the journey that you started for yourself.
Judi Fox: Yeah. So I started by just saying what I want. It’s interesting, because writing to a known room of twenty to forty real people who are actually going to read it feels completely different than posting into the void, hoping an algorithm will bless it. I loved that part. I was like, “Exactly. I want to stand up in a room knowing that a few people, whether it’s twenty, thirty, or forty, will be more impactful than hoping a few people in the algorithm give it a like.”
The concept is a hybrid. It’s like Clubhouse had a baby with Google+. The idea started as a minimum viable product (MVP), because I just wanted to know if something like this could be created. And yes, it can.
It starts off with me vouching for myself, which comes from Clubhouse. I wanted to bring back that feeling when I first joined Clubhouse, where everyone knew someone else, and you knew these were all real people. There was an energy at the beginning because the only way you could get in was if you got vouched for. That’s the word I used. I don’t know if they used that word, but I liked the idea of people vouching for each other.
Under the AI voices section (and Mike, you are in here), I’ve only added seven people right now. Are there more than seven AI voices out there? Yes, but that’s the point of creating a minimum viable product. You have to get it started and start populating it.
As you scroll down, I can explain these initial rooms, but let me go to AI voices so Mike gets to see himself in the room. Now you can see what it looks like when it’s populated. It also serves my visual brain. I know not everyone is a visual person, but I love the idea that about twenty-nine people (that’s as many as can fit in a room) are right there. It literally says “7 out of 29 seats filled in this room” up on the top right. Mentally, even if I don’t see them all in my main newsfeed, I can go in and keep them top of mind for my networking.
Who Rooms Work For
Mike Allton: Right. So for those of you listening, if you haven’t really connected the dots yet, this is an approach to networking on LinkedIn that you could apply to colleagues, influencers, businesses that you want to work with, or an account-based marketing type play. You could apply it to potential partners, or even potential employers if you’re looking to shift the role that you’re in right now. You could be following and engaging with the people that you’d like to get the attention of and get hired by.
Judi Fox: Yeah. If you have an ideal prospecting list and you recognize these are the decision-makers, put them all in a room. You can stay closer connected. Also, I’m showing you example rooms here because, obviously, I want to keep the part of this app that is being built for my clients private. So this is the public version that I’m about to release because I think we should get access to it. I can make this accessible right now, so that’s where I’m working on how to make sure it doesn’t break, by the way, because again, it’s an MVP. But right now it’s a static place, and I still think it’s really valuable to start sharing this with people. They might be inspired to find new voices and network with people in the different rooms that I’m building. But these are rooms that I want to build. So if you want to hang out in rooms where I’m hanging out, let’s hang out together.
Mike Allton: Right? And why wouldn’t you? So I want to…
The RVA Showcase Night Room
Judi Fox: Start. When I show the sheet, I want to start with the fact that last night I went to something called RVA Showcase Night in Richmond, Virginia. I’m going to use that as an example because I built this in less than an hour right before I went to the event and right afterwards.
Before I went to this event, Crystal had posted about it coming up, and I said, “You know what? I want to go to this event. I want to partake.” I started listing who was liking and commenting on her post. That way, when I got into the physical room for RVA Showcase Night, I already recognized people, and I loved that.
I built this about an hour before I went to RVA Showcase Night, and then I networked with people who were physically in this room, physically in person, which is really cool. Right now, there are 23 of 29 seats filled. I did put myself in the room because I was physically there last night. This is a room now that I can go back to say, “Yes, I networked with these people. I shook their hands, and I was networking with them.” I’m going to show you the source file next.
Mike Allton: Yeah. I’ll just comment on how helpful that would be to somebody like me, who is very poor at looking at someone’s face and remembering their name. Doing just a little bit of homework before an in-person event, whether you’re speaking, attending, or organizing, and being able to associate some people’s names to faces, maybe even who they work for or with, would be huge.
Judi Fox: This was also incredible because I have it on my cell phone, so right when I walked in, I was scrolling on my phone, which looks like I’m scrolling the internet. But I was looking at the list of these names right here. So when I walked up to Claudine, I knew very quickly who Claudine was. There was a familiarity that allowed me to jump right to, “Oh, you’re here. You’re the office manager.”
I had not done that before because I never had something on my phone that I could look at really quickly to see that she was going to be in this room. I knew she was going to be in this room because she had commented on Crystal’s post, and I can use AI to grab Crystal’s post and help me make a list of who should be in this room prior to the event.
Mike Allton: So powerful, helping us determine who we want to target and network with. “Target” is probably an abrupt word, but when we’re going to a large event like Social Media Marketing World that we often see each other at, with thousands of attendees, you are not going to be able to see or network with them all. You need to prioritize who you really need to talk to, who you want to talk to, and who would make you come out of that event thinking, “That was a win if I had an opportunity to chat with that person.” Being able to go into it not only recognizing their name and face, but like you said, knowing their title, like, “Hey, I saw you’re the executive of whatever company,” is huge. That really makes them feel seen.
Judi Fox: And I can quickly read their feed. Instead of clicking on their profile, which is nice to go to, sometimes after an event, you want to make sure that you stay networking with them. You can click to go straight to their posts. For example, I want to see what Crystal posted today about the event. It immediately opens up her newsfeed of just her posts. Look, she made a post. I’m sitting right there, looking very interested in what’s being discussed, and I can see that she took some great pictures. I remember Jay. I remember Megan. That’s Claudine.
The ability to immediately know names and people is because of this connection, and it took probably less than an hour for me to do all this. It says, “Open RVA Showcase Night Feed,” which actually sounds funny, but you get the point. I’m going to open that up, and it’s going to open up a newsfeed of all 23 people that are in the room, and you can scroll all their posts. Did that make sense, or did I lose you?
Mike Allton: Yes. No, my jaw is dropping. That’s amazing.
Judi Fox: Yeah. So now, instead of thinking at the end of a networking event that I might lose track of who I connected with and what happened, if I want to stay networked with a lot of these people, I can consistently keep opening up newsfeeds and stay connected to all of these people in a more organic way. I don’t have to have a newsfeed on LinkedIn that I don’t like anymore. I don’t have to worry if LinkedIn is going to show me stuff that I don’t really care about seeing. I now care about these humans that I met in person, and I want to stay engaged with them.
How the Feed Link Works
Mike Allton: And that’s using, if I saw correctly, a custom URL that I’m assuming has all the different profiles baked in there, which technically either of us could do natively in LinkedIn, but that would be very complicated, and we want to save all those. So this tool, this app that you’re building that’s powered by AI, can generate that button on the fly.
Judi Fox: Yes. And I learned last night that it does… I told the crowd because I presented it last night at the showcase night, which is great, and I learned that at some point it will break, which is why I only have 29 seats,
Mike Allton: Hmm.
Judi Fox: Because that URL link gets too long.
Mike Allton: Yeah.
Judi Fox: So because it’s an MVP, there is a little bit of manual trying to figure things out. It has broken a couple of times. That’s why I’m not trying to sell this app. This is not something that’s ever going to be in the Apple Store. Also, I don’t want to… This is not using anything with LinkedIn. It’s not scraping LinkedIn. It’s sending people to LinkedIn. That’s all that it’s doing. So it’s just pre-deciding what the URLs are going to be. That’s all that it’s doing. It’s grabbing URLs that exist in the world.
Mike Allton: Yeah.
The Curator Page and the Manual Step
Judi Fox: Very exciting. So let’s look at the admin page. I do have the ability to vouch someone in, as I am the curator. I curate these feeds. If we want to vouch someone in and six more seats are open, we can click on that and start the process. Right now, I still have it set so that you have to provide the correct URL. I have learned that although AI is amazing, at a human level, if you are truly filling this out (and you can get AI to help), it gets the profiles wrong. It sometimes cannot find the right name with the right company. At a minimum, you have to do a little bit of manual work, and then you add someone to the room, which is very exciting.
Mike Allton: Yeah, I’ve seen the exact same thing with Claude. I’m having it research people that I want to reach out to, trying to help me find their emails and organizational details. It will look on LinkedIn, and it struggles. It’s right maybe 60% of the time.
Judi Fox: Yes, I’ve had to dial it back from being too automated. To me, the way this lives on is because it’s already so fast and quick that I can just say, “You know what, I have to go,” and it’s required for me to specify their profile. Or you can now put in companies. I did update it to start creating newsfeeds of companies. But we are in what I call the rooms, and it’s very simple to create the feed URL. I’m not showing some of what I have to do in Claude to make it work, but it’s a very simple spreadsheet. When you add them on that form that I showed you back here, it just fills out the form on the spreadsheet. It’s pretty great.
Mike Allton: That’s amazing. Yeah, that’s so cool.
Judi Fox: Yes, I think…
Mike Allton: So…
Judi Fox: I think it’s really cool, and I love that it gives me something that makes me happy, and I can stay networking with the same people.
Keeping Comments Human
Mike Allton: This is so powerful. But now you said something that I realized on our call before we started talking. You said your clients don’t want to put out AI slop. So when someone’s showing up on the same prospect’s posts every single day, how do you keep their comments sounding like them and not like a bot?
Judi Fox: The first thing I’ll say is don’t use AI to draft your comments. I know it’s hard. A lot of people want to, but it starts to give words that you would never say in a natural conversation, or it starts to give an uncanny valley feel. So I tell all of my clients to do what’s called active listening. I have seen in the past someone say, “Oh, AI can active listen.” But what AI ends up doing in the comments is it repeats what’s in the post in an unnatural way and doesn’t really add anything additional. Even though it sounds nice, at a human-to-human level, it sounds like, “Wow, Mike, that was so insightful. Thank you so much for sharing that,” and there was nothing that I shared that was genuinely me. There’s an emptiness to it. Over a period of time, those comments can feel empty to the people receiving them.
Mike Allton: Yeah. There’s a concept called the character diamond, where you have a North Star, and you have a competing, contrasting value that all of us have. AI does not have that unless we give it to it, but it takes time, thought, and effort to set up a character diamond, because most of us wouldn’t know or be able to identify our own character diamond without some help. So really, I think to your point, every individual needs to devote a little bit of time on a regular basis to actively reading and personally writing those comments.
So let’s talk results, because I know you’ve had a client who closed a $30,000 project, and she said that it happened because she kept showing up on one prospect’s content. Paint that picture for us. What did her LinkedIn routine look like before the app and then afterwards?
Networking the Prospect’s Circle
Judi Fox: Yeah. I’m going to go back to my curator feed here. The idea is that you want to build up touchpoints with your ideal clients, and we hear that, and we know that it can take anywhere from ten to twenty touchpoints. Over time, if you’re showing interest in other people in more ways than just commenting on their posts (at a minimum, if you start showing interest and staying connected to somebody through their posts), additionally, if you’re networking in a circle of people who all know the same people, your name is going to come up as a referral or as a connection, or people will say, “Oh yeah, I’ve seen her name a couple of times now.” You will feel familiar.
So if you had a newsfeed, say for example of Ad Club RVA, spending consistent time with the same group of people starts to make you so familiar with them that maybe your ideal prospect… I’m going to give Parker a shout-out. Parker is maybe an ideal client potentially for me, and I’m going to say, “You know what? But Parker really knows Jenna, he knows Haley, he knows Michelle.” So if I’m spending time in his circle, he’s going to end up seeing my comments on Michelle’s post. He’s going to end up seeing my comments on Julia’s posts. He’s not just going to see me trying to suck up to him, if I am being blunt. Creating those circles that’s why I’m calling myself the curator, because I’m curating these rooms for my clients, and they’re getting results because it is not just thinking about chasing one ideal client down the street, because that looks thirsty. That’s the simplest way of sharing that.
Mike Allton: Yeah, so Judi’s showing you the app that she’s built to solve this for her and her clients. You don’t have to start with an app. You can start with a spreadsheet like Judi had, or bookmarked URLs. The point is to have some strategy behind who you are trying to network with, which, as you just said, is what you’re helping your clients with today. So my last question for you is: how has that changed the way you actually work with your clients?
How AI Changed Her Client Work
Judi Fox: Ooh. In general, AI has changed everything because it allows us to fast-track more to all the human things that we can do that make us more trustworthy, if that is a word. I hear words around AI saying it is going to decrease trust. What I would say is AI can accidentally create micro-disappointments of trust. So instead of thinking it is just one line in the sand, the power it has given us is the ability to be more intentional with our time and get faster to sharing their voices in a way that is more real.
Mike Allton: Yeah, I love that. No, because what you are talking about, from my perspective at least, is don’t use AI to automate the interactions. Use AI to help surface opportunities for you to have those interactions, those micromoments that will be trustworthy, not distrusting. So, love it. Judi, this is absolutely fascinating. I hope everybody watching has their gears spinning, thinking, “Okay, who do I need to network with, and how am I going to make that happen on LinkedIn more regularly?” I know folks are going to have lots of questions for you. Where can they go to reach out if they want to talk to you?
Judi Fox: So I’m in the curator room. I am planning to make this static page available—not the admin page. But if you want to hire me to curate rooms for you, I am going to make that available. Right now, if you go follow me, at a minimum, I’m starting to create a LinkedIn custom newsfeed, and I show you how to do it. I have a video on how to do it. I think because anyone who is signed up for the LinkedIn custom newsfeed, I’m going to end up gifting the rooms when it comes live. That way, there are at least these static pages that I can start to share with people, and then as people want me to build curated rooms for them, I can start doing that.
Mike Allton: That’s awesome. Thank you, Judi. Thank all of you for watching. That’s a wrap for today’s lab session. Now, if you want the exact prompts, the tool sequences, and the step-by-step blueprints that we break down in this and every episode, hit the link right below in the description and grab that free episode download. If you found this tactical breakdown valuable, make sure to subscribe on YouTube or leave us a review on Apple Podcasts. It helps other serious operators, agency owners, and social media professionals like you find the show.
