1 00:00:04,800 --> 00:00:07,200 Speaker 1: There was this perfect stranger, this woman in New York 2 00:00:07,480 --> 00:00:12,480 Speaker 1: named Sloan who sent a snail mail letter in the 3 00:00:12,520 --> 00:00:16,760 Speaker 1: mail that said, I saw the story about you, and again, 4 00:00:16,840 --> 00:00:18,520 Speaker 1: this was a person that I was not. Ever we 5 00:00:18,560 --> 00:00:21,479 Speaker 1: didn't help her with lawns, but I guess it was 6 00:00:21,520 --> 00:00:24,200 Speaker 1: a time when she needed to hear or see something 7 00:00:24,640 --> 00:00:26,160 Speaker 1: I didn't. I didn't know what she was going through. 8 00:00:26,400 --> 00:00:29,560 Speaker 1: I didn't know this person. She wrote me a letter saying, 9 00:00:30,120 --> 00:00:34,320 Speaker 1: dear Brian, I saw the story about you mowing lawns. 10 00:00:35,000 --> 00:00:37,600 Speaker 1: It gave me some hope and inspiration. And then she 11 00:00:37,680 --> 00:00:39,760 Speaker 1: went on to say I once saw on a T 12 00:00:39,880 --> 00:00:43,200 Speaker 1: shirt either reason someone believes in the goodness of people, 13 00:00:43,680 --> 00:00:46,640 Speaker 1: and she left it off with you are that reason, sir, 14 00:00:47,400 --> 00:00:50,440 Speaker 1: and that it made it made me cry, and it 15 00:00:50,479 --> 00:00:52,400 Speaker 1: was something that I needed to hear in that moment. 16 00:00:52,920 --> 00:00:55,440 Speaker 1: It made me feel valued, like I was doing something meaningful, 17 00:00:56,160 --> 00:00:59,880 Speaker 1: and I wanted to scale up that feeling, realizing I'm 18 00:01:00,160 --> 00:01:01,640 Speaker 1: to something just bigger than myself. 19 00:01:01,680 --> 00:01:09,920 Speaker 2: Now, welcome to an army of normal folks. I'm Bill Courtney. 20 00:01:10,280 --> 00:01:13,240 Speaker 2: I'm a normal guy. I'm a husband, I'm a father, 21 00:01:13,560 --> 00:01:16,880 Speaker 2: I'm an entrepreneur, and I've been a football coach in 22 00:01:17,040 --> 00:01:21,160 Speaker 2: Inner City Memphis, and that last part somehow it led 23 00:01:21,200 --> 00:01:24,440 Speaker 2: to an oscar for the film about our team. That 24 00:01:24,600 --> 00:01:29,120 Speaker 2: movie is called Undefeated. Guys, I believe our country's problems 25 00:01:29,160 --> 00:01:31,399 Speaker 2: are never going to be solved by a bunch of 26 00:01:31,440 --> 00:01:35,360 Speaker 2: fancy people in nice suits using big words that nobody 27 00:01:35,440 --> 00:01:39,640 Speaker 2: ever uses on CNN and Fox, but rather by an 28 00:01:39,800 --> 00:01:43,880 Speaker 2: army of normal folks us just you and me deciding, Hey, 29 00:01:43,920 --> 00:01:48,240 Speaker 2: you know what, maybe I can help. That's what Brian Schwartz, 30 00:01:48,320 --> 00:01:51,160 Speaker 2: the voice you just heard, has done. Brian is the 31 00:01:51,280 --> 00:01:55,640 Speaker 2: founder of I Want to Mow Your Lawn, which started 32 00:01:55,640 --> 00:01:58,560 Speaker 2: with him deciding to mow lawns of folks in need 33 00:01:58,680 --> 00:02:02,960 Speaker 2: in his area, and it has turned into his own 34 00:02:03,120 --> 00:02:07,160 Speaker 2: army of one thousand, four hundred and four normal folks 35 00:02:07,520 --> 00:02:11,200 Speaker 2: moined the lines of over two thousand people. I cannot 36 00:02:11,200 --> 00:02:13,880 Speaker 2: wait for you to meet Brian right after these brief 37 00:02:13,919 --> 00:02:39,280 Speaker 2: messages from our generous sponsors, Hey, everybody, welcome back. So 38 00:02:39,560 --> 00:02:42,920 Speaker 2: here's the deal. I do business in a lot of 39 00:02:42,919 --> 00:02:50,040 Speaker 2: different countries and excuse office, what excuses excuses? And I 40 00:02:50,160 --> 00:02:55,160 Speaker 2: have an office in Shanghai and had a contingent here 41 00:02:55,240 --> 00:03:00,679 Speaker 2: from China when we did this interview, and Alex apparently 42 00:03:00,960 --> 00:03:03,079 Speaker 2: texted me the date and the time of the interview, 43 00:03:03,280 --> 00:03:06,400 Speaker 2: and I agreed to do that and put it on 44 00:03:06,440 --> 00:03:10,040 Speaker 2: my calendar and didn't. So while I had a bunch 45 00:03:10,120 --> 00:03:13,560 Speaker 2: of people from China in my office trying to do business, 46 00:03:14,400 --> 00:03:18,000 Speaker 2: our guest Brian showed up for his interview, and so all. 47 00:03:17,880 --> 00:03:19,840 Speaker 3: The way from New York, all the way. 48 00:03:19,960 --> 00:03:25,920 Speaker 2: Oh my gosh. Anyway, basically I'm a loser and I 49 00:03:26,000 --> 00:03:32,240 Speaker 2: double booked by time and Alex aptly filled in for me. 50 00:03:32,919 --> 00:03:35,000 Speaker 3: You know what had solved this bill? What's that We've 51 00:03:35,000 --> 00:03:37,000 Speaker 3: only talked about it like a hundred times, which is 52 00:03:37,040 --> 00:03:40,280 Speaker 3: what a Google calendar no, like I can put things 53 00:03:40,400 --> 00:03:43,200 Speaker 3: like the rest of the world, okay, has adopted these 54 00:03:43,280 --> 00:03:45,400 Speaker 3: things called digital calendars. 55 00:03:45,440 --> 00:03:48,800 Speaker 2: The paper calendar that I have does. Batteries can never 56 00:03:48,840 --> 00:03:50,680 Speaker 2: go dead in it, except it's not. 57 00:03:50,760 --> 00:03:51,480 Speaker 3: It doesn't work. 58 00:03:51,960 --> 00:03:52,839 Speaker 1: It does work. 59 00:03:53,080 --> 00:03:54,080 Speaker 3: Your process failed. 60 00:03:54,600 --> 00:03:57,200 Speaker 2: I think you just need to send me a master 61 00:03:57,320 --> 00:04:01,240 Speaker 2: or something. But I'm not doing Google Calendar because I 62 00:04:01,280 --> 00:04:03,360 Speaker 2: don't want the battery to go out in my calendar. 63 00:04:03,400 --> 00:04:05,320 Speaker 3: I've never had the battery go out on my computer. 64 00:04:05,440 --> 00:04:08,440 Speaker 3: I charge it like, and I charge my phone like. 65 00:04:08,480 --> 00:04:09,880 Speaker 3: It's not a problem. 66 00:04:10,240 --> 00:04:13,360 Speaker 2: Anyways, Brian is a middle class dude from Wayne, New 67 00:04:13,440 --> 00:04:16,120 Speaker 2: Jersey who showed up and I know showed him, but 68 00:04:16,400 --> 00:04:19,800 Speaker 2: Alex handled the interview quite well. So let's go to 69 00:04:19,839 --> 00:04:23,120 Speaker 2: the conversation with Alex on working in Manhattan. 70 00:04:37,120 --> 00:04:40,080 Speaker 1: You know, I grew attached to this company and sadly 71 00:04:40,120 --> 00:04:43,159 Speaker 1: they decided to let go of all the US employees 72 00:04:43,200 --> 00:04:48,080 Speaker 1: in my in my department, like outsourcing overseas. And this 73 00:04:48,160 --> 00:04:50,480 Speaker 1: is this is twenty fifteen. This is so, this isn't 74 00:04:50,480 --> 00:04:52,440 Speaker 1: the first time I've this is the first time I 75 00:04:52,480 --> 00:04:55,239 Speaker 1: ever got laid off and lost my job. So twenty fifteen, 76 00:04:56,160 --> 00:04:59,720 Speaker 1: thankfully bounced back to work for another agency that later 77 00:04:59,800 --> 00:05:02,920 Speaker 1: got acquired by some other company and got laid off 78 00:05:02,920 --> 00:05:05,640 Speaker 1: again twenty fifteen. So in that moment in twenty fifteen, 79 00:05:05,680 --> 00:05:08,040 Speaker 1: I was questioning my own self work. 80 00:05:08,040 --> 00:05:12,320 Speaker 3: And to come, what were you married at the time. 81 00:05:12,600 --> 00:05:16,159 Speaker 1: I met my wife, Jennifer in twenty fourteen, so she 82 00:05:16,400 --> 00:05:19,680 Speaker 1: was with me like right in, like the heat of 83 00:05:19,720 --> 00:05:23,720 Speaker 1: it all one year of dating. We got married in 84 00:05:23,720 --> 00:05:28,760 Speaker 1: twenty eighteen, so she stuck by me during some crazy times. 85 00:05:29,760 --> 00:05:33,040 Speaker 1: So I knew that I needed to change and worked 86 00:05:33,040 --> 00:05:36,200 Speaker 1: for an agency where I was with for three and 87 00:05:36,240 --> 00:05:38,239 Speaker 1: a half years, and I learned there that the grass 88 00:05:38,279 --> 00:05:42,000 Speaker 1: isn't always greener, no pun intended, like because I heard 89 00:05:42,000 --> 00:05:44,640 Speaker 1: from a recruiter that offered to pay more with an 90 00:05:44,680 --> 00:05:47,120 Speaker 1: easier commute for me, and I was getting ready to 91 00:05:47,160 --> 00:05:50,000 Speaker 1: start a family, bought a house, and this is the 92 00:05:50,040 --> 00:05:53,640 Speaker 1: company that I was with when the pandemic started. So 93 00:05:53,640 --> 00:05:56,640 Speaker 1: we all started working from home. And it was June 94 00:05:56,640 --> 00:06:01,560 Speaker 1: of twenty twenty that I thought I was getting a 95 00:06:01,560 --> 00:06:06,520 Speaker 1: phone call from HR about paternity leave. I was we 96 00:06:06,520 --> 00:06:08,520 Speaker 1: were expecting our first newborn. 97 00:06:08,640 --> 00:06:09,680 Speaker 3: And how long from then? 98 00:06:10,440 --> 00:06:13,200 Speaker 1: So yeah, so it was June eighth of twenty twenty, 99 00:06:13,240 --> 00:06:16,160 Speaker 1: so he was slated. He was gonna be born in 100 00:06:16,200 --> 00:06:18,400 Speaker 1: July of twenty twenty. So it was June of twenty twenty, 101 00:06:18,480 --> 00:06:21,440 Speaker 1: like a month prior. So at that moment, my wife 102 00:06:21,560 --> 00:06:25,039 Speaker 1: is eight months pregnant. Let me I'm sorry, Let me 103 00:06:25,080 --> 00:06:28,320 Speaker 1: trace back a second. So it was before I joined 104 00:06:28,320 --> 00:06:33,120 Speaker 1: this company. It was Thanksgiving of this is an important 105 00:06:33,120 --> 00:06:36,560 Speaker 1: part Thanksgiving, Like right before Thanksgiving of twenty eighteen, I 106 00:06:36,560 --> 00:06:38,919 Speaker 1: was still with that one agency I was with for 107 00:06:38,960 --> 00:06:44,400 Speaker 1: a few years and received a call from my father 108 00:06:44,640 --> 00:06:49,400 Speaker 1: directly my biological father, that he they found a tumor 109 00:06:49,400 --> 00:06:55,839 Speaker 1: in his brain and required surgery. So I was in shambles, 110 00:06:55,920 --> 00:06:59,480 Speaker 1: like trying to understand what's going on and so. And 111 00:06:59,520 --> 00:07:02,760 Speaker 1: he was living in Boston with his new wife and 112 00:07:02,839 --> 00:07:05,520 Speaker 1: his two kids, who at the time were like young teens, 113 00:07:06,640 --> 00:07:11,120 Speaker 1: and my you know, coworkers pulled me aside. We went downstairs, 114 00:07:11,160 --> 00:07:14,600 Speaker 1: like I tried to get myself together, and he called 115 00:07:14,600 --> 00:07:16,880 Speaker 1: me and told me that it was pretty much a 116 00:07:16,920 --> 00:07:22,280 Speaker 1: stage four glioblastoma, like the most aggressive form of brain cancer. 117 00:07:23,800 --> 00:07:26,880 Speaker 1: And I think the commons person was my father, like 118 00:07:26,920 --> 00:07:29,480 Speaker 1: he was telling us it's okay, like he's had a 119 00:07:29,480 --> 00:07:34,720 Speaker 1: good life, he's got four kids. He was sixty five 120 00:07:34,800 --> 00:07:38,040 Speaker 1: at the time, young young, Yeah. I mean the most 121 00:07:38,080 --> 00:07:40,880 Speaker 1: admirable trait of his was his brain. His brain, Like 122 00:07:40,920 --> 00:07:44,760 Speaker 1: he was so smart, like doing stuff for like the government. 123 00:07:44,800 --> 00:07:47,200 Speaker 1: I'd never really understood with all the stuff he was doing. 124 00:07:48,640 --> 00:07:51,320 Speaker 1: But we went out there to support like some of 125 00:07:51,360 --> 00:07:56,040 Speaker 1: the surgeries he went through, some like treatments. The doctors 126 00:07:56,080 --> 00:07:58,680 Speaker 1: only gave him fifteen months to live, and this was 127 00:07:58,760 --> 00:08:02,520 Speaker 1: Thanksgiving of two thousand and eight teen. Fast forward, he 128 00:08:03,120 --> 00:08:07,160 Speaker 1: surpassed doctor projections. He met his first grandson, and this 129 00:08:07,400 --> 00:08:12,080 Speaker 1: was the summer of twenty twenty, so Tosher will Power, 130 00:08:13,480 --> 00:08:16,160 Speaker 1: he met his first grandson, and it was like the 131 00:08:16,240 --> 00:08:18,960 Speaker 1: early well towards the tail end of twenty twenty that 132 00:08:19,000 --> 00:08:23,720 Speaker 1: he saw this nonprofit get started, like he was one 133 00:08:23,720 --> 00:08:24,680 Speaker 1: of the first. 134 00:08:25,280 --> 00:08:27,600 Speaker 3: To jumping ahead. Yeah, I'm jump get the phone call 135 00:08:27,640 --> 00:08:28,120 Speaker 3: from h your. 136 00:08:28,120 --> 00:08:30,680 Speaker 1: Heart Yeah so now okay, now, so going back to 137 00:08:32,600 --> 00:08:36,920 Speaker 1: this latest agency that was with in twenty twenty, telling 138 00:08:36,960 --> 00:08:38,840 Speaker 1: me there to let me go straight up, and they 139 00:08:38,920 --> 00:08:42,440 Speaker 1: knew that I was expecting a newborn, and they knew 140 00:08:42,520 --> 00:08:45,160 Speaker 1: that my father was battling an illness. Mind you, at 141 00:08:45,160 --> 00:08:47,520 Speaker 1: the same time, like I just had a grandfather who 142 00:08:47,679 --> 00:08:51,800 Speaker 1: just passed like months prior before the pandemic. Thankfully we 143 00:08:51,840 --> 00:08:54,160 Speaker 1: had a proper burial for him. I was really close 144 00:08:54,200 --> 00:08:59,480 Speaker 1: with him. And combine everything that just happened there in 145 00:08:59,520 --> 00:09:03,600 Speaker 1: that moment, thinking about losing a job that was pretty 146 00:09:03,679 --> 00:09:06,360 Speaker 1: much six figures going to zero and going to have 147 00:09:06,400 --> 00:09:09,680 Speaker 1: to collect unemployment, go on a mortgage forbearance. 148 00:09:10,760 --> 00:09:13,000 Speaker 3: The first time you had ever done either of those things, 149 00:09:13,679 --> 00:09:16,719 Speaker 3: going unemployment and mortgage for a barance first time? 150 00:09:16,760 --> 00:09:19,840 Speaker 1: Yeah? Both, yeah, both, yep, that was the first time 151 00:09:19,880 --> 00:09:24,320 Speaker 1: I had to do that. So I was obviously very stressful. 152 00:09:24,360 --> 00:09:27,520 Speaker 1: Between that and my wife having the first newborn, trying 153 00:09:27,520 --> 00:09:32,040 Speaker 1: to having to deliver the news to her was quite stressful, 154 00:09:32,760 --> 00:09:36,079 Speaker 1: combined with telling my father like who's you know battling 155 00:09:36,120 --> 00:09:39,199 Speaker 1: in illness, terminal illness and everything else going down in 156 00:09:39,200 --> 00:09:48,720 Speaker 1: the world with COVID and societal unrest and yeah, so 157 00:09:48,960 --> 00:09:50,840 Speaker 1: they told me twenty twenty and I think it was 158 00:09:50,880 --> 00:09:53,400 Speaker 1: like a few weeks later. Well, it was a few 159 00:09:53,440 --> 00:09:56,320 Speaker 1: days later that on a whim, I just said, you know, 160 00:09:56,360 --> 00:10:00,920 Speaker 1: I understand that volunteering in the time of job transition 161 00:10:01,160 --> 00:10:06,439 Speaker 1: is helpful for oneself, not just for your yourself, but 162 00:10:07,120 --> 00:10:11,280 Speaker 1: as almost like a conversational piece for possible employers. And 163 00:10:11,360 --> 00:10:15,080 Speaker 1: I probably could have just signed up to volunteer for 164 00:10:15,559 --> 00:10:20,560 Speaker 1: Habitat for Humanity or any other which was great too. Yeah, 165 00:10:20,760 --> 00:10:23,680 Speaker 1: of course by all means, yes, but I didn't have 166 00:10:23,760 --> 00:10:26,040 Speaker 1: I felt like I didn't have any control over anything. 167 00:10:26,880 --> 00:10:29,280 Speaker 1: So I just, on a whim utilize some of my 168 00:10:30,360 --> 00:10:34,360 Speaker 1: advertising website background just to create a website, adding some 169 00:10:34,400 --> 00:10:37,480 Speaker 1: simple contact information called I want to Mow your lawn 170 00:10:37,520 --> 00:10:39,880 Speaker 1: dot com. Very straightforward. 171 00:10:40,679 --> 00:10:43,040 Speaker 3: That's funny you started a website out the gate rather 172 00:10:43,080 --> 00:10:45,400 Speaker 3: than just like a few days later doing it, maybe 173 00:10:45,400 --> 00:10:47,920 Speaker 3: for a couple of people first to eventually get around 174 00:10:47,920 --> 00:10:48,520 Speaker 3: to website. 175 00:10:48,679 --> 00:10:54,160 Speaker 1: Yeah, so I I it was a culmination of events 176 00:10:54,200 --> 00:10:59,200 Speaker 1: between millions of people losing their jobs, older adults being 177 00:10:59,280 --> 00:11:05,040 Speaker 1: vulnerable to the virus. The quote the yeah, just in 178 00:11:05,080 --> 00:11:08,560 Speaker 1: a parallel universe, I might not have I probably would 179 00:11:08,600 --> 00:11:10,360 Speaker 1: not have made such a decision. I'd still be in 180 00:11:10,360 --> 00:11:13,120 Speaker 1: my own world, commuting into New York City, living the 181 00:11:13,160 --> 00:11:16,360 Speaker 1: high life, working for an advertising agency, commuting every day, 182 00:11:17,600 --> 00:11:21,280 Speaker 1: versus leaning in and adapting to the times. I could 183 00:11:21,280 --> 00:11:23,240 Speaker 1: have just stayed holed up and been depressed at home. 184 00:11:24,360 --> 00:11:26,640 Speaker 1: But instead of just like putting out to my LinkedIn 185 00:11:26,679 --> 00:11:29,320 Speaker 1: network that I'm looking for a job, can someone help me, 186 00:11:29,360 --> 00:11:31,880 Speaker 1: like just asking for something, I wanted to add to 187 00:11:31,960 --> 00:11:34,920 Speaker 1: something I want to because I tried to. I tuned 188 00:11:34,960 --> 00:11:37,760 Speaker 1: out social media for a while, just just with all 189 00:11:37,760 --> 00:11:40,720 Speaker 1: the bad news going on, but I wanted to contribute 190 00:11:40,720 --> 00:11:42,679 Speaker 1: some way to I felt like I was still fully capable, 191 00:11:42,760 --> 00:11:45,679 Speaker 1: Like I'm very big into going to the gym and 192 00:11:45,679 --> 00:11:48,560 Speaker 1: staying active, and at that time, like the gyms were, 193 00:11:49,640 --> 00:11:51,599 Speaker 1: you know, on lockdown for a few months. So I 194 00:11:51,640 --> 00:11:54,959 Speaker 1: wanted to do something active. So just mowing my own 195 00:11:55,040 --> 00:11:59,000 Speaker 1: loan was a form of therapy for me. So it 196 00:11:59,120 --> 00:12:00,640 Speaker 1: just it made perfect say it as like kind of 197 00:12:00,640 --> 00:12:05,240 Speaker 1: like a social distant activity and thinking about my late 198 00:12:05,280 --> 00:12:09,200 Speaker 1: grandfather who just passed, and think about the stress that 199 00:12:09,280 --> 00:12:12,240 Speaker 1: some families were going through. It was just I put 200 00:12:12,720 --> 00:12:14,640 Speaker 1: just it made perfect sense in that moment to offer 201 00:12:14,840 --> 00:12:18,280 Speaker 1: just mowing to people that couldn't use it. And so 202 00:12:18,440 --> 00:12:21,760 Speaker 1: I advertised, I put that on my website, posted it 203 00:12:21,840 --> 00:12:25,320 Speaker 1: up on social media, and that same day I get 204 00:12:25,320 --> 00:12:28,719 Speaker 1: a call from a local news reporter and did like 205 00:12:28,760 --> 00:12:30,760 Speaker 1: a news story on it. And this was like before 206 00:12:30,760 --> 00:12:32,679 Speaker 1: I even I had no vision. 207 00:12:32,679 --> 00:12:34,040 Speaker 3: Before anyone's lawn. 208 00:12:34,080 --> 00:12:37,079 Speaker 1: Yet, before I mooted anyone's lawn, I. 209 00:12:37,000 --> 00:12:39,720 Speaker 3: Think they should have waited until the lawn. 210 00:12:39,880 --> 00:12:43,160 Speaker 1: Yeah, but I guess the set of the saying you know, 211 00:12:43,800 --> 00:12:47,720 Speaker 1: uh laid off individual wants. Again, it wasn't like a 212 00:12:47,760 --> 00:12:53,720 Speaker 1: mainstream thing, just like a local TV spot. And he 213 00:12:53,800 --> 00:12:55,640 Speaker 1: I remember speaking with him, He's like, you sure you 214 00:12:55,679 --> 00:12:56,880 Speaker 1: want to do this? You probably get a lot of 215 00:12:56,920 --> 00:12:58,960 Speaker 1: phone calls. I'm like, sure, I got nothing to. 216 00:12:59,000 --> 00:13:02,280 Speaker 3: Lose, And did you give out your phone number. 217 00:13:02,040 --> 00:13:04,760 Speaker 1: Or I set up actually in that read before I 218 00:13:04,840 --> 00:13:11,240 Speaker 1: even I have like the business website address had the website, 219 00:13:11,280 --> 00:13:13,440 Speaker 1: but I also have like a business phone number, just 220 00:13:13,520 --> 00:13:16,280 Speaker 1: thinking ahead that I would probably get a gazillion phone call. 221 00:13:16,360 --> 00:13:19,760 Speaker 1: So no one was calling my personal cell phone. And 222 00:13:19,760 --> 00:13:21,720 Speaker 1: that's still the same phone number we used to this day. 223 00:13:22,200 --> 00:13:26,840 Speaker 1: And yeah, so the story came out, the story came out. 224 00:13:27,000 --> 00:13:31,439 Speaker 1: I put up a Facebook page and repurposed that and 225 00:13:31,920 --> 00:13:34,360 Speaker 1: through a few advertising dollars with some money that I 226 00:13:34,480 --> 00:13:37,400 Speaker 1: did have save up, just to keep my mind, my body, 227 00:13:37,520 --> 00:13:41,120 Speaker 1: my soul stimulated, because like it was super stressful. Right. 228 00:13:42,640 --> 00:13:47,360 Speaker 3: So I heard you in another interview, and it's an 229 00:13:47,360 --> 00:13:50,240 Speaker 3: interesting thing that, I mean, you just lost your income 230 00:13:51,120 --> 00:13:53,280 Speaker 3: and yet I think you spent around five hundred dollars 231 00:13:53,280 --> 00:13:57,000 Speaker 3: in advertising on Facebook, you know, whereas you know most 232 00:13:57,000 --> 00:13:59,000 Speaker 3: people in that moment. I wanted to reflect on this 233 00:13:59,040 --> 00:14:01,840 Speaker 3: a little bit earlier too. It's just thankfully I've not 234 00:14:01,880 --> 00:14:03,920 Speaker 3: been through that, so I haven't had the experience I 235 00:14:03,920 --> 00:14:05,760 Speaker 3: mean telling you in the car. I mean, I've been 236 00:14:05,800 --> 00:14:08,400 Speaker 3: through divorce and other ugly things I didn't want, you know, 237 00:14:08,440 --> 00:14:11,160 Speaker 3: in my life, but I have not had a layoff 238 00:14:11,200 --> 00:14:13,200 Speaker 3: that i've you know, dealt with, and like the fear 239 00:14:13,240 --> 00:14:16,040 Speaker 3: of where you're going to make you know money and 240 00:14:16,320 --> 00:14:17,880 Speaker 3: how hard I mean, I'm sure it's hard for a 241 00:14:17,880 --> 00:14:19,840 Speaker 3: woman to tell her husband too, but for you know, 242 00:14:20,080 --> 00:14:22,640 Speaker 3: feel a man to come home and tell your wife 243 00:14:22,720 --> 00:14:25,320 Speaker 3: that you know and how you would, you know feel 244 00:14:25,320 --> 00:14:28,040 Speaker 3: about yourself. I'm sure you know all those are tough, 245 00:14:28,160 --> 00:14:32,160 Speaker 3: you know, and raising and then obviously needing to protect 246 00:14:32,160 --> 00:14:34,520 Speaker 3: your money too because you don't know the future, you know, 247 00:14:34,640 --> 00:14:37,320 Speaker 3: and yet you're willing to spend a five hundred dollars 248 00:14:37,440 --> 00:14:39,480 Speaker 3: that you probably shouldn't been doing. 249 00:14:41,600 --> 00:14:44,040 Speaker 1: Nuts. I don't know what got like. It feels like 250 00:14:44,080 --> 00:14:47,000 Speaker 1: a blur, but I feel like, at the same time, 251 00:14:47,120 --> 00:14:51,000 Speaker 1: like I could at least get the word out because 252 00:14:51,400 --> 00:14:53,320 Speaker 1: it was a win win for all. Right, I'm trying 253 00:14:53,320 --> 00:14:58,720 Speaker 1: to like do something good for humanity, do something for 254 00:14:58,800 --> 00:15:02,480 Speaker 1: myself that you know, makes me feel good. I felt 255 00:15:02,560 --> 00:15:06,760 Speaker 1: like that would also be a talking point for potential Again, 256 00:15:06,800 --> 00:15:08,680 Speaker 1: this was when I didn't even it didn't become a 257 00:15:08,720 --> 00:15:11,840 Speaker 1: nonprofit yet, Like, I had no visions, no plans, just 258 00:15:11,880 --> 00:15:13,760 Speaker 1: to stay busy until I figured out the next step 259 00:15:13,760 --> 00:15:16,080 Speaker 1: in my life, right, And I felt like I can 260 00:15:16,360 --> 00:15:20,960 Speaker 1: speak to that advertising aspect for any potential employer that 261 00:15:21,040 --> 00:15:23,720 Speaker 1: might come. So I did throw like a link to 262 00:15:23,840 --> 00:15:26,600 Speaker 1: like my portfolio on that website at that time. It 263 00:15:26,720 --> 00:15:29,040 Speaker 1: was so it was like a win win for everyone 264 00:15:29,240 --> 00:15:32,240 Speaker 1: with hopes that somebody would see it and consider reaching out. 265 00:15:32,240 --> 00:15:36,000 Speaker 1: And I did hear from some from some people along 266 00:15:36,040 --> 00:15:41,120 Speaker 1: the way for job opportunities from doing that specifically. So 267 00:15:42,240 --> 00:15:46,040 Speaker 1: and that was my mindset at the time, right, And 268 00:15:46,120 --> 00:15:51,160 Speaker 1: so putting the advertising dollars around, like to anyone that 269 00:15:51,280 --> 00:15:54,120 Speaker 1: was in within a five mile radius, sixty five years 270 00:15:54,160 --> 00:15:57,840 Speaker 1: and older, and I started to develop like a pretty 271 00:15:57,880 --> 00:16:02,560 Speaker 1: decent portfolio of homes within twenty mile radius, and I 272 00:16:02,560 --> 00:16:04,520 Speaker 1: was saying yes to everything. I think I found myself 273 00:16:04,560 --> 00:16:06,120 Speaker 1: going thirty miles each way. 274 00:16:06,680 --> 00:16:09,320 Speaker 3: All right, It's like, how many homes s're in this radius? 275 00:16:10,000 --> 00:16:12,880 Speaker 1: There's a lot of thousands upon thousands. 276 00:16:12,960 --> 00:16:15,960 Speaker 3: But how many did you hear from. 277 00:16:15,560 --> 00:16:20,720 Speaker 1: I must have thinking back to the original campaign's probably 278 00:16:20,720 --> 00:16:21,440 Speaker 1: a couple hundred. 279 00:16:21,840 --> 00:16:25,360 Speaker 3: Wow, I assume you didn't cut off a couple hundred later. 280 00:16:25,480 --> 00:16:28,320 Speaker 1: So no, to this day, maybe I'm around one hundred 281 00:16:28,320 --> 00:16:32,520 Speaker 1: and fifty myself real individual homes. Holy cow, I'm like 282 00:16:32,760 --> 00:16:33,640 Speaker 1: five years later. 283 00:16:33,920 --> 00:16:37,280 Speaker 3: A total or on a regular base total okay, which 284 00:16:37,320 --> 00:16:37,920 Speaker 3: I'll get into. 285 00:16:38,160 --> 00:16:41,640 Speaker 1: Yeah, in terms of frequency you. 286 00:16:41,640 --> 00:16:43,640 Speaker 3: Would Rodene your nuts. But we'll get into that at 287 00:16:43,640 --> 00:16:43,960 Speaker 3: a minute. 288 00:16:44,000 --> 00:16:50,960 Speaker 2: Ye round, yeah, and now a few messages from our 289 00:16:51,000 --> 00:16:54,800 Speaker 2: gender sponsors. But first, I hope you'll consider signing up 290 00:16:54,840 --> 00:16:58,680 Speaker 2: to join the army at normal folks dot us. By 291 00:16:58,720 --> 00:17:02,480 Speaker 2: signing up, you'll receive a weekly email with short episodes 292 00:17:02,520 --> 00:17:04,760 Speaker 2: some reason in case you happen to miss an episode, 293 00:17:05,000 --> 00:17:08,680 Speaker 2: or if you prefer reading about our incredible guests, we'll 294 00:17:08,720 --> 00:17:09,320 Speaker 2: be right back. 295 00:17:35,160 --> 00:17:38,960 Speaker 1: So when I started to feel like it's getting to 296 00:17:39,000 --> 00:17:43,560 Speaker 1: be too much, I decided to kind of just put 297 00:17:43,680 --> 00:17:46,639 Speaker 1: a press release out to like a larger newspaper. 298 00:17:46,680 --> 00:17:48,240 Speaker 3: And so when it was getting to be too much, 299 00:17:48,280 --> 00:17:50,719 Speaker 3: tell me, like what that was like in a week, 300 00:17:51,240 --> 00:17:53,640 Speaker 3: Like at that point, how many longs are you doing 301 00:17:53,640 --> 00:17:54,040 Speaker 3: a week? 302 00:17:54,400 --> 00:17:56,520 Speaker 1: I was doing it like an average three to four 303 00:17:56,720 --> 00:17:58,160 Speaker 1: a day, like a busy day. 304 00:17:58,160 --> 00:17:58,560 Speaker 3: That's a lot. 305 00:17:58,640 --> 00:17:59,400 Speaker 2: Yeah. 306 00:17:59,720 --> 00:18:04,719 Speaker 1: Yeah, I had a few extra hours to spare just 307 00:18:05,520 --> 00:18:08,320 Speaker 1: folding up my personal gas mower into the back of 308 00:18:08,359 --> 00:18:13,119 Speaker 1: the family jeep. You know, grass clippings everywhere, gasoline smell, 309 00:18:14,240 --> 00:18:15,960 Speaker 1: and had a baby seat right in the middle. 310 00:18:16,880 --> 00:18:18,480 Speaker 3: And what's your wife saying about all this? 311 00:18:19,280 --> 00:18:21,639 Speaker 1: Yeah, it can't go on for good. So I mean, 312 00:18:21,680 --> 00:18:24,920 Speaker 1: I was probably Getna a car wash every week or so, 313 00:18:25,560 --> 00:18:26,040 Speaker 1: and she's. 314 00:18:25,920 --> 00:18:27,280 Speaker 3: Like, I don't want to be spending money on the 315 00:18:27,320 --> 00:18:29,800 Speaker 3: car wash or the gas. Yeah, like, yeah, you should 316 00:18:29,800 --> 00:18:32,920 Speaker 3: be applying to jobs rather than like, I mean, honestly 317 00:18:32,920 --> 00:18:33,600 Speaker 3: what she's saying to you. 318 00:18:34,119 --> 00:18:39,159 Speaker 1: So a pivotal moment of that was in August of 319 00:18:39,200 --> 00:18:43,680 Speaker 1: twenty twenty, there's a larger newspaper that came out to 320 00:18:43,760 --> 00:18:49,040 Speaker 1: run a story which ultimately inspired a couple others that 321 00:18:49,119 --> 00:18:52,160 Speaker 1: were in a similar boat that were laid off or furloughed, 322 00:18:52,320 --> 00:18:55,560 Speaker 1: had the equipment and a means to transport it around. 323 00:18:56,520 --> 00:19:00,119 Speaker 1: A guy named Tom, a guy named Pete first two volunteers, 324 00:19:00,200 --> 00:19:02,200 Speaker 1: and so I was able to distribute out the tasks 325 00:19:02,600 --> 00:19:06,080 Speaker 1: at the same time from that same During that same period, 326 00:19:06,160 --> 00:19:11,960 Speaker 1: I heard from a local orthopedic surgeon office, and it 327 00:19:12,000 --> 00:19:15,439 Speaker 1: was brilliant on his behalf right, because his demographic is 328 00:19:15,520 --> 00:19:20,240 Speaker 1: mostly like older adults with back issues and stuff. And 329 00:19:20,840 --> 00:19:24,000 Speaker 1: he saw a clip of me somewhere with like lifting 330 00:19:24,040 --> 00:19:26,600 Speaker 1: up my mower putting in the back of the family jeep. 331 00:19:27,200 --> 00:19:31,680 Speaker 1: And so they purchased a six by twelve enclosed trailer 332 00:19:32,520 --> 00:19:34,719 Speaker 1: with like branding and everything, and of course we slapped 333 00:19:34,720 --> 00:19:36,840 Speaker 1: their logo on it. They're called the One Oak Medical. 334 00:19:37,640 --> 00:19:40,760 Speaker 1: So I was literally I was literally able to lug 335 00:19:40,800 --> 00:19:44,760 Speaker 1: around this trailer on the back of my jeep within 336 00:19:44,800 --> 00:19:47,560 Speaker 1: a matter of a couple of months of just doing something. 337 00:19:47,520 --> 00:19:49,280 Speaker 1: And it wasn't even a nonprofit yet. 338 00:19:49,240 --> 00:19:51,000 Speaker 3: And you didn't reach out to this person. They reached out. 339 00:19:51,080 --> 00:19:55,159 Speaker 1: They reach out to me, doctor Mahmoud. So I had 340 00:19:55,160 --> 00:19:57,680 Speaker 1: a chance to like visit with them, and they gave 341 00:19:57,720 --> 00:20:01,399 Speaker 1: me like a free like like check up and stuff 342 00:20:01,480 --> 00:20:05,080 Speaker 1: and a free back brace. So that was cool just 343 00:20:05,119 --> 00:20:08,960 Speaker 1: to keep going. And I still have it in my 344 00:20:09,359 --> 00:20:13,960 Speaker 1: in my driveway just pulling stuff around, so that that 345 00:20:14,080 --> 00:20:17,560 Speaker 1: was like a game changer right there, just not having 346 00:20:17,560 --> 00:20:22,520 Speaker 1: to use our family jeep. And so from there, I'm like, 347 00:20:22,600 --> 00:20:25,439 Speaker 1: you know, maybe you keep going see where this goes, 348 00:20:26,880 --> 00:20:29,320 Speaker 1: and you never know who's watching. And I guess one 349 00:20:29,320 --> 00:20:33,719 Speaker 1: thing after another, like a nationwide news thing picked it up, 350 00:20:33,840 --> 00:20:38,679 Speaker 1: like CBS Saturday Morning. Yeah, and for the name, but 351 00:20:38,800 --> 00:20:41,960 Speaker 1: it was Nancy Chen was one of the was the 352 00:20:42,359 --> 00:20:45,399 Speaker 1: the woman that was there in person. But yeah, a 353 00:20:45,440 --> 00:20:47,960 Speaker 1: producer like left me a voicemail. I'm like, is this real? 354 00:20:48,040 --> 00:20:49,400 Speaker 1: Like I have to like listen to it a couple 355 00:20:49,440 --> 00:20:51,960 Speaker 1: of times and call back, and it was like a 356 00:20:52,000 --> 00:20:56,800 Speaker 1: week later they scheduled a shoot at a couple homes 357 00:20:56,840 --> 00:21:00,239 Speaker 1: of guys that we were doing, and both homeowners were 358 00:21:00,240 --> 00:21:04,120 Speaker 1: gracious enough to also take part in that, and that 359 00:21:04,240 --> 00:21:07,800 Speaker 1: just blew things up, Like, uh, I'm still trying to 360 00:21:07,960 --> 00:21:09,680 Speaker 1: I think, to this day, I'm still trying to process 361 00:21:09,720 --> 00:21:15,320 Speaker 1: that surreal like thinking back, like I I I try 362 00:21:15,359 --> 00:21:17,719 Speaker 1: to like start up like these businesses, and I might 363 00:21:17,760 --> 00:21:20,679 Speaker 1: have sold one for a decent amount, nothing crazy, but 364 00:21:21,280 --> 00:21:23,919 Speaker 1: mostly failed. Like it was all like digital stuff, and 365 00:21:24,440 --> 00:21:26,880 Speaker 1: I can understand what it's like to receive any form 366 00:21:26,920 --> 00:21:30,399 Speaker 1: of media mentioned, So I didn't take it for granted, right, 367 00:21:30,480 --> 00:21:33,760 Speaker 1: and so I wanted to kind of parlay that into 368 00:21:33,800 --> 00:21:35,880 Speaker 1: something almost bigger than myself, Like. 369 00:21:37,240 --> 00:21:38,399 Speaker 3: So what happened in that moment? 370 00:21:38,520 --> 00:21:44,639 Speaker 1: Like I started, I'm getting like, well, first off, I 371 00:21:44,680 --> 00:21:46,919 Speaker 1: gave the heads up to like my personal network that 372 00:21:46,960 --> 00:21:49,960 Speaker 1: this is airing tomorrow, and like after it aired, I 373 00:21:50,000 --> 00:21:53,240 Speaker 1: got a video text message from a friend that lives 374 00:21:53,280 --> 00:21:57,119 Speaker 1: in California showing the video in his living room with 375 00:21:57,160 --> 00:22:01,240 Speaker 1: his little toddler looking at it, and I'm like, is 376 00:22:01,280 --> 00:22:06,960 Speaker 1: this really happening? Like I'm like, I'm actually like, there's 377 00:22:07,000 --> 00:22:10,880 Speaker 1: this kid here like absorbing something two thousand miles away 378 00:22:10,880 --> 00:22:13,960 Speaker 1: from where I live. I'm like, and then I'm getting 379 00:22:14,000 --> 00:22:17,399 Speaker 1: I get a video from my step mom with my 380 00:22:17,560 --> 00:22:22,760 Speaker 1: father who was in his later stages, sitting in the 381 00:22:22,800 --> 00:22:26,399 Speaker 1: living room or kitchen with with my half brother, half sister, 382 00:22:27,280 --> 00:22:30,160 Speaker 1: seeing him like in tears, which you never really saw 383 00:22:30,200 --> 00:22:31,840 Speaker 1: a whole lot of, and like I remember him saying, 384 00:22:31,880 --> 00:22:34,840 Speaker 1: that's your brother. And I still have that video in 385 00:22:34,840 --> 00:22:37,200 Speaker 1: my my phone. I look at it. 386 00:22:37,440 --> 00:22:40,399 Speaker 3: Here and there and right now talk about it. 387 00:22:40,480 --> 00:22:43,480 Speaker 1: No, he I knew that he was just proud of me, 388 00:22:44,520 --> 00:22:47,119 Speaker 1: and I think he saw what I was, I guess 389 00:22:48,040 --> 00:22:50,760 Speaker 1: trying to do in that moment because thinking about our 390 00:22:50,760 --> 00:22:56,840 Speaker 1: own mortality. And so that's that's what personal motivation that 391 00:22:56,920 --> 00:22:59,160 Speaker 1: keeps me me going, keeps me going knowing that he's 392 00:23:00,160 --> 00:23:03,639 Speaker 1: still proud and looking down and living through me. So 393 00:23:03,720 --> 00:23:07,800 Speaker 1: I just want to keep making them proud. So in 394 00:23:07,840 --> 00:23:11,800 Speaker 1: that yeah, So that news story just opened up Pandora's 395 00:23:11,840 --> 00:23:16,679 Speaker 1: box in a good in a good way. I'm hearing 396 00:23:16,720 --> 00:23:23,520 Speaker 1: from people everywhere from California to Texas looking for help, 397 00:23:24,320 --> 00:23:29,240 Speaker 1: wanting to help, donations like you're hearing like my VENMO 398 00:23:29,359 --> 00:23:31,360 Speaker 1: that I had set up there like just chink chin, 399 00:23:32,280 --> 00:23:37,360 Speaker 1: and I've started to hear from perfect strangers and connections 400 00:23:37,359 --> 00:23:40,159 Speaker 1: saying you should actually make this into like a nonprofit, 401 00:23:41,640 --> 00:23:46,200 Speaker 1: And I looked into it and ultimately started a GoFundMe 402 00:23:46,240 --> 00:23:49,440 Speaker 1: that and now allowed for us to create the five 403 00:23:49,440 --> 00:23:50,960 Speaker 1: oh one C three that it is today. 404 00:23:51,200 --> 00:23:52,919 Speaker 3: That's kind of funny too. You didn't think about it 405 00:23:52,960 --> 00:23:54,119 Speaker 3: before the interview dropped. 406 00:23:54,800 --> 00:23:57,239 Speaker 1: Yeah, no, I didn't know where Again, I was just 407 00:23:57,640 --> 00:24:05,240 Speaker 1: following my heart. Yeah, kept mowing and yeah, just from 408 00:24:05,320 --> 00:24:06,199 Speaker 1: that point think just. 409 00:24:06,200 --> 00:24:08,240 Speaker 3: So what were the volume of like do you have 410 00:24:08,280 --> 00:24:10,320 Speaker 3: any sets of it? If people reaching out either in 411 00:24:10,320 --> 00:24:13,480 Speaker 3: total or how many looking a volunteer, how many looking 412 00:24:13,480 --> 00:24:13,880 Speaker 3: for help? 413 00:24:14,920 --> 00:24:17,120 Speaker 1: Well, I'll tell you, at least to this present day, 414 00:24:17,240 --> 00:24:19,159 Speaker 1: that business phone number that I had set up, we 415 00:24:19,200 --> 00:24:23,240 Speaker 1: tracked over ten thousand phone calls to date last time 416 00:24:23,280 --> 00:24:26,960 Speaker 1: to date through this past season. Wow. So this past 417 00:24:27,040 --> 00:24:30,520 Speaker 1: year alone, three thousand phone calls have been tracked. Going 418 00:24:30,520 --> 00:24:35,119 Speaker 1: back to my advertising days, we had a voicemail tracking 419 00:24:35,160 --> 00:24:37,959 Speaker 1: system that I was able to have donated like an 420 00:24:38,080 --> 00:24:41,199 Speaker 1: enterprise software where we have like five hundred free minutes 421 00:24:42,280 --> 00:24:46,800 Speaker 1: per month and just putting a lot of the ducks 422 00:24:46,800 --> 00:24:51,119 Speaker 1: in a row. To this day, there's been multiple iterations 423 00:24:51,440 --> 00:24:55,400 Speaker 1: like focus a lot on the technology, have reinvested everything, 424 00:24:55,520 --> 00:25:01,280 Speaker 1: haven't taken a dime for myself. It's all just volunteer based, all. 425 00:25:01,240 --> 00:25:02,800 Speaker 3: Right, So keep telling us how it grew and how 426 00:25:02,840 --> 00:25:03,480 Speaker 3: to develop. 427 00:25:04,119 --> 00:25:10,160 Speaker 1: An interesting An interesting part that definitely helped get things 428 00:25:10,160 --> 00:25:14,040 Speaker 1: going was I was creating like these partnerships, like to 429 00:25:14,080 --> 00:25:20,280 Speaker 1: a degree, like officially unofficially, some with like my network 430 00:25:20,320 --> 00:25:22,040 Speaker 1: that I've already built up, right, So I mentioned that 431 00:25:23,000 --> 00:25:27,480 Speaker 1: voicemail translation I'm sorry, the voicemail tracking platform that I 432 00:25:27,480 --> 00:25:30,240 Speaker 1: had worked with in the past from the ad tech space. 433 00:25:31,040 --> 00:25:33,560 Speaker 1: And then there was also someone else in my network 434 00:25:33,600 --> 00:25:40,760 Speaker 1: that worked for like a background screening platform and partner 435 00:25:40,800 --> 00:25:44,639 Speaker 1: with them in order to help like speak to people 436 00:25:44,680 --> 00:25:47,280 Speaker 1: that might be hesitant to receive a volunteer. So we 437 00:25:47,320 --> 00:25:51,960 Speaker 1: wanted to at the time screen volunteers. Fast forward to today, 438 00:25:51,960 --> 00:25:53,560 Speaker 1: we don't do that anymore because we have our own 439 00:25:53,560 --> 00:25:56,920 Speaker 1: mechanisms to do the screening of individuals that want to help. 440 00:25:57,200 --> 00:26:00,840 Speaker 1: But in that moment, they're based out of Houston, Texas area, 441 00:26:01,560 --> 00:26:07,640 Speaker 1: and so we announced this unofficial partnership on LinkedIn that 442 00:26:07,920 --> 00:26:12,640 Speaker 1: just by chance, some other volunteers saw this announcement and 443 00:26:12,760 --> 00:26:17,119 Speaker 1: that person this, there's this woman named Lauren who is 444 00:26:17,160 --> 00:26:20,000 Speaker 1: based out of Houston, laid off, a mother of two, 445 00:26:21,359 --> 00:26:24,840 Speaker 1: signed up and offered to help and got her set up. 446 00:26:25,200 --> 00:26:28,760 Speaker 1: And I followed that same methodology I did with for 447 00:26:28,840 --> 00:26:32,800 Speaker 1: myself just to generate some leads, to generate leads in 448 00:26:32,840 --> 00:26:37,479 Speaker 1: the Houston area, sixty five in older five miles, and 449 00:26:37,960 --> 00:26:41,439 Speaker 1: built up like a portfolio for this woman on her 450 00:26:41,480 --> 00:26:44,120 Speaker 1: behalf with like you know, I set up a profile. 451 00:26:44,240 --> 00:26:45,960 Speaker 1: This is all manual, by the way. Like I set 452 00:26:46,040 --> 00:26:48,959 Speaker 1: up like a profile for Lauren, and she had like 453 00:26:49,000 --> 00:26:52,919 Speaker 1: five or six seniors that she was helping in the 454 00:26:52,960 --> 00:26:57,080 Speaker 1: Houston community. And I was proactive. I reached out to 455 00:26:57,200 --> 00:27:01,760 Speaker 1: like a few different news stations in Houston that ultimately 456 00:27:02,640 --> 00:27:05,800 Speaker 1: found it to be interesting a woman, a mother of 457 00:27:05,840 --> 00:27:10,119 Speaker 1: two laid off helping out seniors, and they did like 458 00:27:10,119 --> 00:27:12,320 Speaker 1: a plug on her. So I was able to like 459 00:27:12,400 --> 00:27:15,080 Speaker 1: repurpose that for our social media and like start showing 460 00:27:15,160 --> 00:27:19,560 Speaker 1: like clips. And that was just when we had Facebook 461 00:27:20,080 --> 00:27:23,320 Speaker 1: so fast forwards today I've we have six active social 462 00:27:23,400 --> 00:27:28,080 Speaker 1: media channels like building up content and so that was 463 00:27:28,160 --> 00:27:30,800 Speaker 1: like how we built up like started like these pockets 464 00:27:30,840 --> 00:27:34,120 Speaker 1: of areas. So we have like from that segment, more 465 00:27:34,160 --> 00:27:38,520 Speaker 1: people signing up from Houston and volunteers and so one 466 00:27:38,560 --> 00:27:41,000 Speaker 1: of our most I like to call him a Vallin star. 467 00:27:41,160 --> 00:27:43,880 Speaker 1: His name is Jim. I think he saw like one 468 00:27:43,920 --> 00:27:49,480 Speaker 1: of Lauren's plugs and he's this guy is a machine. 469 00:27:49,480 --> 00:27:52,600 Speaker 1: He's been going NonStop helping like a disabled war veteran 470 00:27:53,240 --> 00:27:56,680 Speaker 1: in Houston and a couple others that we've sent his way. 471 00:27:57,280 --> 00:28:01,280 Speaker 1: We've been able to get him some equipment upgraded, so 472 00:28:01,320 --> 00:28:02,240 Speaker 1: all these little. 473 00:28:02,040 --> 00:28:06,560 Speaker 2: Things we'll be right back. 474 00:28:37,320 --> 00:28:40,600 Speaker 1: Again. We just started doing mowing. While we're on premise, 475 00:28:40,680 --> 00:28:43,640 Speaker 1: people are asking us about other services we might not 476 00:28:43,720 --> 00:28:46,840 Speaker 1: specialize in, which inspired us to add all these other 477 00:28:47,720 --> 00:28:54,040 Speaker 1: service offerings to the volunteer side and the client side. Effectively, 478 00:28:54,120 --> 00:28:57,440 Speaker 1: we operate almost like a matchmaker for people that are 479 00:28:57,440 --> 00:28:59,160 Speaker 1: looking for help and people. 480 00:28:58,920 --> 00:29:02,520 Speaker 3: That want to help or other things. I'm sure, but. 481 00:29:03,200 --> 00:29:08,800 Speaker 1: Leaf removal, snow removal. We're also getting requests for like 482 00:29:09,320 --> 00:29:16,120 Speaker 1: home services such as pest control, tree removal, door widening, 483 00:29:16,680 --> 00:29:19,360 Speaker 1: so like not saying that we're offering it, we're at 484 00:29:19,440 --> 00:29:22,880 Speaker 1: least collecting this information with hopes to make more connections 485 00:29:22,880 --> 00:29:25,200 Speaker 1: with people to make these kinds of referrals. Maybe if 486 00:29:25,200 --> 00:29:27,920 Speaker 1: they can't do it for free, maybe they can offer 487 00:29:28,000 --> 00:29:31,520 Speaker 1: some deep senior citizen military veterans discount. We're kind of 488 00:29:31,560 --> 00:29:34,320 Speaker 1: like the tip of the glacier, building the trust with 489 00:29:34,360 --> 00:29:37,520 Speaker 1: people coming to their properties with hopes that we can 490 00:29:37,600 --> 00:29:42,880 Speaker 1: maybe establish this network of other professionals or volunteers that 491 00:29:42,960 --> 00:29:47,719 Speaker 1: might specialize in these things. Yeah. So, like, for instance, 492 00:29:47,760 --> 00:29:51,160 Speaker 1: we had a guy in Minnesota that went around to 493 00:29:51,200 --> 00:29:54,280 Speaker 1: do twelve different homes when it was a bad snowstorm, 494 00:29:55,360 --> 00:29:59,720 Speaker 1: and that got some publicity which helped us attract more 495 00:29:59,800 --> 00:30:03,520 Speaker 1: vo tiers in Minnesota. So you follow that sit I've 496 00:30:03,520 --> 00:30:08,440 Speaker 1: been following that same method in terms of earned media 497 00:30:09,360 --> 00:30:12,240 Speaker 1: and utilizing social media to help get the word out. 498 00:30:12,560 --> 00:30:14,320 Speaker 3: And ultimately do more good at the end of the day. 499 00:30:14,680 --> 00:30:17,680 Speaker 1: Yeah. No, And then like again like yeah, just more 500 00:30:17,760 --> 00:30:21,200 Speaker 1: than anything is the impacts. Right. We've been able to 501 00:30:21,240 --> 00:30:25,440 Speaker 1: track conservatively two thousand unique homes that we've been to, 502 00:30:27,200 --> 00:30:30,640 Speaker 1: and that's not accounting for some that are doing regular. 503 00:30:30,360 --> 00:30:35,760 Speaker 3: Visits like summer cutting these folks as grass every week 504 00:30:35,840 --> 00:30:38,600 Speaker 3: or every other weeks on an ongoing basis. 505 00:30:38,280 --> 00:30:41,160 Speaker 1: Right, And one thing that we you know, there's been 506 00:30:41,160 --> 00:30:43,800 Speaker 1: a lot of learning lessons along the way in terms 507 00:30:43,800 --> 00:30:47,640 Speaker 1: of expectations. So one of the things that we've we've 508 00:30:47,680 --> 00:30:52,800 Speaker 1: implemented is our expectations of service language, ensuring people know 509 00:30:52,920 --> 00:30:56,200 Speaker 1: that we're not a replacement for landscapers. We do what 510 00:30:56,240 --> 00:31:01,360 Speaker 1: we can when we can, almost as temporary relief. But 511 00:31:01,440 --> 00:31:06,040 Speaker 1: there is exceptional cases where again we just provide the 512 00:31:06,120 --> 00:31:11,480 Speaker 1: leads and we provide volunteer accident insurance coverage to volunteers. 513 00:31:12,880 --> 00:31:16,920 Speaker 1: We've been able to send yard signs to show neighbors 514 00:31:16,960 --> 00:31:20,560 Speaker 1: like what's going on, like why someone's there, sending out 515 00:31:20,640 --> 00:31:23,800 Speaker 1: a tire through some of the funds raised, but ultimately 516 00:31:24,680 --> 00:31:27,440 Speaker 1: just providing some ounts of relief. But there is exceptional 517 00:31:27,480 --> 00:31:33,200 Speaker 1: cases where people have more time than others. Recently retired 518 00:31:33,960 --> 00:31:36,160 Speaker 1: super active I have some guys that are going around 519 00:31:36,280 --> 00:31:41,760 Speaker 1: regularly logging like tens. It's not hundreds of hours with 520 00:31:41,920 --> 00:31:45,760 Speaker 1: dozens of regular repeat clients. They're not as tech savvy 521 00:31:45,880 --> 00:31:50,200 Speaker 1: enough to like log into our platform and track their 522 00:31:50,200 --> 00:31:53,120 Speaker 1: hours and report back to us. So we're doing the 523 00:31:53,120 --> 00:31:56,440 Speaker 1: best we can to conservatively at least track the visits 524 00:31:56,440 --> 00:31:59,240 Speaker 1: that are being made. But we've at least made strides 525 00:31:59,280 --> 00:32:03,760 Speaker 1: with the technology allowing for volunteers to log into our dashboard, 526 00:32:04,360 --> 00:32:07,840 Speaker 1: add their hours, and talk about their experience, upload before 527 00:32:07,840 --> 00:32:10,440 Speaker 1: and after photos us In the past, it was myself 528 00:32:10,560 --> 00:32:13,800 Speaker 1: for one of our back end volunteers reaching out trying 529 00:32:13,840 --> 00:32:16,960 Speaker 1: to like pry that information or remind them. So now 530 00:32:17,000 --> 00:32:20,719 Speaker 1: we have the website as well as an actual SMS 531 00:32:20,800 --> 00:32:24,080 Speaker 1: texting feature where they can organically just text photos to 532 00:32:24,120 --> 00:32:27,680 Speaker 1: a phone number we have and it recognizes their phone 533 00:32:27,720 --> 00:32:31,160 Speaker 1: number that's attached to their account, so we can log 534 00:32:31,200 --> 00:32:34,440 Speaker 1: that information. Then we just have like a templated sequence 535 00:32:35,440 --> 00:32:38,959 Speaker 1: of like robotic questions that are automatically logging it. So 536 00:32:39,040 --> 00:32:42,720 Speaker 1: as I'm speaking to you now, connections are potentially being made. 537 00:32:42,720 --> 00:32:45,120 Speaker 1: I just saw it, like five in the morning, we 538 00:32:45,200 --> 00:32:48,000 Speaker 1: have a volunteer nearby that is looking for help. Can 539 00:32:48,040 --> 00:32:50,720 Speaker 1: you be of assistance? Came a long way to get 540 00:32:50,720 --> 00:32:52,720 Speaker 1: it to this point, Like there's so many parts that 541 00:32:52,720 --> 00:32:57,400 Speaker 1: have had to have come together, between having volunteers nearby 542 00:32:58,280 --> 00:33:01,360 Speaker 1: but also having like the technology to detect someone is nearby. 543 00:33:02,320 --> 00:33:04,320 Speaker 1: It was a couple of years ago I literally had 544 00:33:05,080 --> 00:33:09,280 Speaker 1: virtual paid assistants super part time on the books, manually 545 00:33:09,280 --> 00:33:12,800 Speaker 1: typing in Google Maps for someone that might be nearby 546 00:33:12,880 --> 00:33:15,360 Speaker 1: that we have like this huge Excel list. We have 547 00:33:15,400 --> 00:33:19,120 Speaker 1: over one thy four hundred actively enlisted volunteers all across 548 00:33:19,160 --> 00:33:25,400 Speaker 1: the USA and even some in other countries, and we 549 00:33:25,480 --> 00:33:28,160 Speaker 1: actually have like a volunt there's an actual visual map 550 00:33:28,200 --> 00:33:31,840 Speaker 1: now updating in real time. If and when they're reviewed 551 00:33:31,880 --> 00:33:35,680 Speaker 1: and approved, automatically it pins them into our visual map 552 00:33:36,120 --> 00:33:39,200 Speaker 1: and link. You can zoom in like like pins and 553 00:33:39,280 --> 00:33:42,320 Speaker 1: zoom and see their profile in their general area. Obviously 554 00:33:43,280 --> 00:33:45,360 Speaker 1: thinking about like privacy, so it just shows like a 555 00:33:45,400 --> 00:33:50,160 Speaker 1: general vicinity. But to be able to have someone sign 556 00:33:50,240 --> 00:33:54,920 Speaker 1: up and for us to alert someone like so proud 557 00:33:54,920 --> 00:33:56,440 Speaker 1: of how far we come. There's still a lot to 558 00:33:56,440 --> 00:34:00,960 Speaker 1: be done. I mentioned the two thousand or so homes 559 00:34:01,000 --> 00:34:05,280 Speaker 1: we've been to, but we've had way more requests than 560 00:34:05,320 --> 00:34:08,000 Speaker 1: we can handle, So still so much that could be 561 00:34:08,040 --> 00:34:10,120 Speaker 1: done in terms of the supply side. There's a big 562 00:34:10,160 --> 00:34:13,239 Speaker 1: demand for our service, have you know we've put a 563 00:34:13,239 --> 00:34:15,840 Speaker 1: lot of effort into also, like some of the search 564 00:34:15,840 --> 00:34:17,160 Speaker 1: engine optimization as well. 565 00:34:17,440 --> 00:34:20,560 Speaker 3: Yeah, it's an amazing tech platform you built and I 566 00:34:20,600 --> 00:34:23,120 Speaker 3: know you you're back and played. You've been working for 567 00:34:23,320 --> 00:34:27,200 Speaker 3: you know, many years now, so it's like, you know, 568 00:34:27,360 --> 00:34:29,960 Speaker 3: you you have a normal job, and yet you've been 569 00:34:29,960 --> 00:34:33,319 Speaker 3: building out this you know, tech platform and running this thing, 570 00:34:33,400 --> 00:34:36,400 Speaker 3: Like are you doing this night's weekends? Like it seems 571 00:34:36,400 --> 00:34:37,719 Speaker 3: like a lot of work to build out. 572 00:34:37,880 --> 00:34:42,440 Speaker 1: It's very overwhelming. I saw a quote somewhere, it was 573 00:34:42,480 --> 00:34:45,360 Speaker 1: actually at the post office the other day that said 574 00:34:45,400 --> 00:34:46,719 Speaker 1: that at the end of the day, you're doing the 575 00:34:46,719 --> 00:34:48,800 Speaker 1: best you can with what you got, and that's good enough. 576 00:34:49,719 --> 00:34:52,759 Speaker 1: So I found myself like, I feel like, if I 577 00:34:52,760 --> 00:34:56,160 Speaker 1: didn't have some of these technology automation improvements in place, 578 00:34:56,600 --> 00:34:58,720 Speaker 1: there's no way it would have been able to sustain 579 00:35:00,200 --> 00:35:04,600 Speaker 1: without because obviously there's no paid salaries employees, Like mending 580 00:35:04,640 --> 00:35:06,200 Speaker 1: the ship, a lot of it still falls on me, 581 00:35:06,840 --> 00:35:09,600 Speaker 1: and there's still a human element, right, So yeah, there's 582 00:35:09,680 --> 00:35:12,439 Speaker 1: there's definitely I'm putting it way more time into it, 583 00:35:12,880 --> 00:35:15,440 Speaker 1: but thankfully I have my employer's blessing to do this. 584 00:35:15,760 --> 00:35:18,520 Speaker 1: On the side, there's no conflict as time permits. I 585 00:35:18,520 --> 00:35:22,480 Speaker 1: have my wife's support and family support to do that. 586 00:35:22,880 --> 00:35:24,680 Speaker 1: And of course I have a four and a half 587 00:35:24,760 --> 00:35:28,080 Speaker 1: year old son at home and a newborn that's two 588 00:35:28,120 --> 00:35:34,520 Speaker 1: months old, so that's definitely tiring. But I yeah. Another 589 00:35:34,600 --> 00:35:37,759 Speaker 1: thing I also forgot to mention as part of the technology, 590 00:35:37,800 --> 00:35:42,360 Speaker 1: we receive the grants from a local credit union to 591 00:35:43,200 --> 00:35:48,080 Speaker 1: improve on a couple of things. One is scoring the 592 00:35:48,120 --> 00:35:52,239 Speaker 1: homeowner leads that come in and helping determine the ones 593 00:35:52,239 --> 00:35:54,200 Speaker 1: that are the most in need versus the ones that 594 00:35:54,239 --> 00:35:57,200 Speaker 1: are not. So we ask everything under the sun to 595 00:35:57,360 --> 00:36:00,319 Speaker 1: ensure that it's not someone that could probably have forward 596 00:36:00,320 --> 00:36:03,360 Speaker 1: it or do it themselves, or might be taking advantage 597 00:36:03,400 --> 00:36:06,520 Speaker 1: of it. So we try to prioritize low to moderate 598 00:36:06,560 --> 00:36:09,759 Speaker 1: household income for starters. And of course, so many other 599 00:36:09,800 --> 00:36:11,880 Speaker 1: things we take into account is if they live alone, 600 00:36:11,960 --> 00:36:16,480 Speaker 1: or if they have children that are physically abled. So 601 00:36:16,520 --> 00:36:21,879 Speaker 1: there's like this algorithm in place that helps us find 602 00:36:21,920 --> 00:36:23,799 Speaker 1: the ones that are most pressing. So it's a form 603 00:36:23,840 --> 00:36:26,680 Speaker 1: of arbitrage just getting around to the ones that are 604 00:36:26,920 --> 00:36:28,440 Speaker 1: in need. And of course we have to take into 605 00:36:28,480 --> 00:36:32,960 Speaker 1: consideration if we have the coverage for it. And I 606 00:36:33,040 --> 00:36:37,200 Speaker 1: mentioned the so a few ways that homeowners are reaching 607 00:36:37,200 --> 00:36:40,360 Speaker 1: out to us. It's through the website, through social media, 608 00:36:40,560 --> 00:36:44,360 Speaker 1: through email, and through voicemail. We try to get everyone 609 00:36:44,400 --> 00:36:47,120 Speaker 1: to sign up on the website because it just has 610 00:36:47,200 --> 00:36:50,120 Speaker 1: everything that we need. But if they're reaching out over 611 00:36:50,160 --> 00:36:52,840 Speaker 1: the phone a little less tech savvy. We had another 612 00:36:52,920 --> 00:36:57,799 Speaker 1: grant that enabled us to automate translate what is being 613 00:36:57,840 --> 00:37:01,160 Speaker 1: said over voicemail in real time. They're telling us the 614 00:37:01,239 --> 00:37:04,800 Speaker 1: ZIP code, which allows for us to detect our nearby location. 615 00:37:05,320 --> 00:37:07,600 Speaker 1: So we follow that same logic that we do with 616 00:37:07,640 --> 00:37:10,719 Speaker 1: the website to alert somebody in real time that there's 617 00:37:10,880 --> 00:37:15,440 Speaker 1: a voicemail nearby, and we pass along that voicemail recording 618 00:37:15,960 --> 00:37:18,399 Speaker 1: to the volunteers that they can listen to and dial 619 00:37:18,480 --> 00:37:22,600 Speaker 1: back directly. Thinking back, yeah, thinking back to a couple 620 00:37:22,600 --> 00:37:24,400 Speaker 1: of years ago, I had like a call center agent 621 00:37:24,520 --> 00:37:28,120 Speaker 1: for overseas dialing back these voicemails, trying to make a 622 00:37:28,160 --> 00:37:32,200 Speaker 1: connection and asking this information. As costly, it's not sustainable. 623 00:37:32,840 --> 00:37:35,680 Speaker 1: So it's been a year of as they call it, 624 00:37:35,719 --> 00:37:40,880 Speaker 1: a year of efficiency and automation, just trying to scale 625 00:37:40,960 --> 00:37:43,240 Speaker 1: up this kindness platform. 626 00:37:43,880 --> 00:37:46,320 Speaker 3: And you mentioned in a minute ago how many total 627 00:37:46,360 --> 00:37:48,920 Speaker 3: requests have come in to date. I don't think you 628 00:37:48,960 --> 00:37:49,920 Speaker 3: said the number. 629 00:37:49,680 --> 00:37:54,040 Speaker 1: But multiply what we've been able to do by five, 630 00:37:54,120 --> 00:37:57,360 Speaker 1: it's like one in every five, so about ten thousand 631 00:37:58,960 --> 00:38:01,719 Speaker 1: lifetime to date. So there's lots of work to be 632 00:38:01,760 --> 00:38:06,040 Speaker 1: done in terms of recruiting help. But we're improving, Like 633 00:38:07,440 --> 00:38:12,600 Speaker 1: you know, I've we revamped our intake. I had help 634 00:38:12,680 --> 00:38:17,839 Speaker 1: with a Google Translate designer to fix our navigation and 635 00:38:17,920 --> 00:38:23,080 Speaker 1: the experience. Hired on some developers overseas to just improve that. 636 00:38:23,120 --> 00:38:25,359 Speaker 1: There's still work. I'm getting emails even to this day 637 00:38:25,400 --> 00:38:28,560 Speaker 1: about certain uploads not working or not taking long enough. 638 00:38:28,560 --> 00:38:30,879 Speaker 1: So there's all these like little intricacies. There's a lot 639 00:38:30,920 --> 00:38:31,520 Speaker 1: that goes on. 640 00:38:31,480 --> 00:38:34,919 Speaker 3: Under the hood, and you've got another job. 641 00:38:37,239 --> 00:38:38,439 Speaker 1: Yeah, it's a lot. 642 00:38:38,600 --> 00:38:39,720 Speaker 3: It's impressive. 643 00:38:40,160 --> 00:38:46,680 Speaker 1: Thank you. It's hard. Again, There's been times where I 644 00:38:46,880 --> 00:38:52,839 Speaker 1: thought about shutting it down. I don't there's nothing left. 645 00:38:52,960 --> 00:38:55,480 Speaker 1: I don't have anything to prove to anyone. It's I'm 646 00:38:55,520 --> 00:38:59,600 Speaker 1: challenging myself to see how far it can go. And 647 00:38:59,640 --> 00:39:01,600 Speaker 1: when we make those connections and I get like those 648 00:39:01,640 --> 00:39:06,040 Speaker 1: thank yous not just from homeowners and their neighbors, but 649 00:39:06,640 --> 00:39:10,960 Speaker 1: volunteers for making those for helping set that up, because 650 00:39:12,280 --> 00:39:15,760 Speaker 1: I'll echo like feedback from one specific volunteer named Tom 651 00:39:15,800 --> 00:39:19,120 Speaker 1: that said he might have only spent ten minutes doing 652 00:39:19,880 --> 00:39:23,520 Speaker 1: long care for this military veteran and then ended up 653 00:39:23,560 --> 00:39:26,319 Speaker 1: speaking for twenty thirty minutes afterwards. With the guy like 654 00:39:26,520 --> 00:39:28,560 Speaker 1: speaking his zero off and he's like, what about the 655 00:39:28,640 --> 00:39:29,720 Speaker 1: human connection. 656 00:39:29,960 --> 00:39:33,360 Speaker 3: Which that veteran probably needed too. For sure, it's a 657 00:39:33,360 --> 00:39:35,600 Speaker 3: big loneliness epidemic going on in the country. 658 00:39:35,680 --> 00:39:44,200 Speaker 2: Yeah, And that concludes part one of Alex's conversation with 659 00:39:44,320 --> 00:39:47,560 Speaker 2: Brian Schwartz, and you don't want to miss part two 660 00:39:47,640 --> 00:39:51,560 Speaker 2: that's now available to listen to. Together, guys, we can 661 00:39:51,760 --> 00:39:55,279 Speaker 2: change this country and it starts with you. I'll see 662 00:39:55,320 --> 00:40:01,080 Speaker 2: in part two. 663 00:40:02,920 --> 00:40:05,320 Speaker 1: You don't think to