Reminder to myself to pick an industry that's always gonna have demand. We recently paid ~$200 for a 30 minute visit to seal off like 3 tiny holes around the perimiter of our house because of mice (actual cost of materials ~$5).
I'd rather grow my business and make as much money. If I can crush it with my business I'd make more than that.
Also for me there's an element of picking the pain I want to solve for. I've run a software company before, and prefer the tech-enabled route personally.
One question for clarity: why don’t you see an opportunity to sell AI or other technology into this space again? Is it just because incumbents already have it locked up and it’s cheap?
The reason I ask is that this feels like one of those moments in history similar to mobile. PlanGrid succeeded because tradespeople suddenly had iPhones and iPads in the field, which made it possible to digitize blueprints and collaborate in real time.
Put differently, what could be the new “PlanGrid” for your industry - that AI makes possible now, the way mobile once did for construction?
I see today's consolidation as fragile though, and it's not locked in forever. I'm better at building a competitor where I have full influence of the customer and worker experience, and I have the patience to see it through.
Part of shaping my thinking here is 1) knowing what I'm good at, much better than I did before, and 2) in my previous company we built a heavy equipment telematics platform which was used on about 1/3 of the UK's infrastructure projects. JCB (an equipment OEM with their own bad version of what we were doing) threw the kitchen sink at field sales and account management, and they had reach into all the sites across the country. It was an eye opener and good lesson about go to market for enterprise sales in traditional industries.
Some franchising platforms (window cleaning is a good example) don't offer much beyond sales and marketing support and some nicely designed uniforms. There's not much to window cleaning other than basic equipment, so a person's route can easily be disrupted by a new entrant who doesn't have the franchise rake to contend with.
There's a model between employment, ownership and franchising that will probably emerge as sales, marketing, ops gets easier technically.
Assuming everyone knows your acronyms is just not a good writing style.
Since I couldn't understand how s/w was going to get opossums out of anyone's basement, I think the correct decision was made: hands on!
You deserve accolades for making this choice. Good Job!
Like any physical trade, this is by it's nature a local only endeavor. So a web presence that is primarily visible to geographically local potential customers would be most effective.
Any aggregation is really just a way to skim some of the profits from the people actually doing the job. That is to say, GTM according to my definition above.
Personally, when I can't get an in-real-life personal referral to some trade, and I'm forced to do web search, I always spend extra time to try to find a web page that is put up by a local company, not an aggregator.
Things like plumers.com (this is a totally made up example, not referring to any real website) I find to be extremely irritating. Since they have absolutely nothing to do with whoever will eventually show up and do the work.
This form of aggregation through, is extremely common today, and a very large part of why the modern internet sucks.
craigslist.com (the actual website) used to be a good example of referring local services, until it was overrun with spammers and scammers.
Will this correct? Will we proceed to the dead internet? Who knows! What next weeks exciting episode to find out...
GTM is ubiquitous on the business side.
If you read his post, there's significant effort not "catching opossums" but waiting or churning through admin overhead - wasted time, which maybe he can translate into $. This much inefficiency is...common in many businesses.
For residential / consumer markets, referrals are the gold standard and I agree to an extent about the local focus. A lot of PE (private equity) backed roll-ups result in a worse customer and worker experience as they try to force scale too fast.
Some PE companies will open a local market by initiating acquisition conversations with all local players, low ball everyone, buy some and for a short period dramatically reduce pricing to force the hold-out cohort to sell at an even lower price. Not good for communities.
The unlock to balancing scale and customer / worker experience is creating the right incentives for people to adopt the behaviors you're after. This is why bolting on SaaS or AI to established companies is tough, as the staff often don't want to change and will leave - which is bad in a tight labor market.
Searching for home services online is totally broken and is a tax on buyers and operators. HVAC contractors pay on average $600 for a closed lead from online ads, and close about one in four / one in five leads.
I then nearly die of internal cringe.
Fine. I'll say it: developers aren't smart enough to survive a blue collar environment.
My credentials? I worked in a factory in my youth. 12hr shifts, nightshift only, 7 days a week, on assembly lines.
Your average developer is definitely not risk averse enough to keep all their limbs. Where I worked, two people on two different lines lost limbs.
If you have ever used npm install on your daily driver without sand boxing it, you're too stupid to work in a factory.
In trades, the risk is usually not financial. I come home every day smelling of petrochemicals, with minor to moderate injuries, having been on my feet for 8 hours, sometimes up on ladders with greasy boots on, climbing on, into, and out of machines that could maul me without even making an unusual sound, and carrying 100lb sharp steel parts up stairs because it’s more efficient than waiting forces the shop hands to do it.
While the risks certainly have financial components, they’re more “get cancer, brain damage, lose a limb, or maybe even your life” risks. Risk averse is career death.
I’m guilty of this type of thinking and occasionally get reminded when I’m way out of my lane.
There are also a lot of geniuses who might barely know how to read but can do incredible work and figure out some really difficult problems.
I consider myself blue collar even though I am a school teacher currently. It’s in my blood. I don’t especially like the work but I can do it and I am skilled at it.
My advice to anyone moving in to the blue collar world is to be respectful. If you are educated Don’t ever let on that your education makes you superior somehow. You will make a lot of enemies by being that person.
You will likely run in to people who really are quite unintelligent just be considerate and don’t get into debates with them. A lot of people come from poverty or really tough backgrounds and many are quite sensitive about it so don’t make a big deal about it.
On the other side there are many people who are quite intelligent and have the skills and knowledge of engineers even though they do not have any formal training or education.
I recently talked to a few companies in the AI space, from (smaller) frontier model labs to companies still looking to build "AI products" and my take away was that, if you're not working for one of the big players, the market hasn't really figured out if there is an "AI engineer" job yet.
I'm increasingly starting to believe that the future of work for people that have technical skills (more than just 'software') is likely going to be working in places that are less about "shipping software" and more about supporting teams doing something physical in the real world.
These companies are also the most ripe to truly leverage AI: they have tons of messy problems that need to be solved and iterated on extremely fast. Operations people tend to be "EoD" deadline people, not quarterly planners. Getting solutions solved in an actionable way on time often means really understanding the core business, the technical space surrounding it, and how to leverage AI to pull of some miracles. It can be stressful, but when you pull it off your stakeholder have sincere and real gratitude and you're actually moving the needle for the company.
I don't think the Bay area, even those sniffing the AI vapors the hardest, is really willing to accept what AI is going to do to software and software companies.
We got huge pushback from every angle with the local teams, people paying lip service to drag it out and delay. Eventually I got to the root cause... The capex had to come out of the business unit, and the payback would negatively affect their KPIs and bonus. Next time I came across this kind of issue, I asked to see the incentive structure before approaching anyone.
Consider being a platform coop with regional operators as members. See https://platform.coop/
The operating license holder is also on the hook for legal action if (when) things go wrong.
"Control" is interesting and I have found in all trades that people value their freedom. The good companies don't monitor employees too tightly, and are rewarded with loyalty and longer tenures generally. Of course you have to run a good recruitment and referral process to find the good people!
There are lots of antiquated operators not having newer technology for pest control, which makes this area lucrative for even $50K MRR.
Go for it!
Does your software do anything fancy or is mostly for organization, good workflow, and being the central source of truth?
Did it require a lot of development after getting a few customers on boarded?
are you a 1 man show?
You put in real work to understand the business landscape and typical pain points. With AI, implementing solutions has become much easier but knowing what the problems are and how to solve them hasn't.
When someone asks what the plan is for next week, the answer is normally, it needs to be written out, or I'll have to find this for you etc.
In general, there are a lot of serious rules around energy and fuel industries. Rockwell and Kongsberg technology still dominate for some very practical reasons. Seeing a few small firms fail hard in the area, I would still call it a fools errand for those looking at low hanging fruit. =3
I was up front that I was exploring getting back into blue-collar, coming off the closure of my startup, and that I wanted to get into sales but wasn't sure if this would be a long term thing as it's a totally new industry for me.
We were aligned on giving the technician job a try before moving into sales, and it's common for people to take that path as you can't really sell the services if you've not done the job for a bit.
Important context - I am not a tech millionaire. The top guys regionally at these companies earn $500k+, and some are in the $Ms, so if there was a route to be top pest guy at BigCo, I was up for it!
Doesn't seem like it can be a tulip if it encompasses all productive endeavors.
Think of Saudi Arabia, Iran, Putin's Russia, or Norway. I.e. risk for highly nepotic dictatorships, with the potential that it might end up well despite the odds (Norway).
Before, if you made a product that improved the lives of everyone, say you invented Google or Heinz ketchup, you could make a lot of money through that, and you did a good deed and became rich the same time. The masses of humans would reward you for delivering the benefits of your invention to them by giving you a piece of their work output.
As their work becomes less and less worth, why focus on those humans though? I am asking rhetorically of course.
An economy that thrives from innovation enriches the innovators, making them powerful. A brute in power causes the innovators to leave or in the worst case, he mass-executes them outright (think of what Stalin did in Russia). With AI, you can have a brute in power though, as an oil rig or datacenter can be protected by a bunch of machine guns.
An economy with AI everywhere will be, after a short and very innovative period, just be about who controls which resource, i.e. water for a datacenter, production lines for robots, mining rights, operational control of robot fleets, etc.
The working 95% will probably experience a sharp decrease in purchasing power, making a lot of products unaffordable to them, so consumption wise we'll have a further shift towards plutonomics. The owning top 10% will probably be affected by this major shift in consumption as well, E.g. a tower full of condos becomes worthless if the tenants can't pay rent because they got laid off, etc.
Need for robots and AI will further increase. Eventually most economic activity will revolve around those robots. It's a bit like paperclip optimizer here, whether those robots protect gay luxury space communism from counterrevolutionaries, or they project the will of the Davos council of Forbes 400, economically it will be quite similar.
There will still be human societies, humans will still talk to other humans. We won't be all exclusively conversing with LLMs, I doubt that. There will still be social mobility but it will revolve around nepotism, lying, and various escalation steps of war.
We might end up in different scenarios depending on the country, but some countries like Germany might lose relevance as most of their value lies in stuff that is going to be replaced by AI, i.e. they have less natural resources, or they have been depleted already.
We might also see companies that automate everything from end to end, from mining to producing and running weaponized robot fleets. Shareholders of those companies will do great too, if the leadership of the companies respects minority shareholder rights that is (why should they though, they will outgun any law enforcement).
Do I like this future? I don't think so. We will probably have solved cancer, communicable diseases, and aging in the next 30 years if AI continues its successful trajectory, but not sure if it will be accessible to 8 billion humans.
My longterm vision is to be the agent platform for traditional industries, bridging the gap between knowledge work and physical work.
>when I was leaving my boss told me I should start my own company.
Genuinely or sarcastically?
> When I told my manager I was leaving, he said I should start my own company and give him a call when I do. So that's what I'm doing.
I love hearing stories like this, because it shows a way to be a builder without the "venture or nothing" narrative that has pervaded the tech space since the dotcom days.
It is very difficult to make a venture-backed services firm (providing services, not software) that can be immediately profitable, grow sustainably, and outperform competitors with in-house technology that's built for real on-the-ground stakeholders... at a speed that will satisfy venture investors.
But it is more possible than ever ([0]), to do this (in-house tech and all) on a bootstrapped basis - since AI reduces the engineering staff required to build, adapt, and maintain an agile best-in-class solution at single-tenant/single-customer scale. The outcome is at the least a lifestyle business, but with upside that can take the form of anything from franchising to licensing to full-fledged SaaS in the future.
I wish OOP the best of luck, and hope he's found a passion. He could go far with this approach if he ends up following through.
([0] This is not to say there are no barriers to entry. There's privilege in the word "founder," and this is no exception. And the K-shaped economy has left many brilliant would-be founders behind. But at least some barriers are lower than they once were, and that's worth appreciating.)
He used his funding to rent four apartments in San Francisco, which he then sublet, personally, through Airbnb.
It will compound over time if the basics are done right (which is harder to do than I thought before this experiment)
In my previous company, we founded it with the outcome first - "take over the world" or bust. This time I think the base case is a good company, and the ceiling is the best in the industry.
> ...and noticed companies have become less likely to offer their time for ride-alongs and research calls. They get too many requests, and vibe coding is drawing their attention to self-build.
Is this ACTUALLY happening? Are entrepreneurs who get into vibe-coders really eating up time a bunch of time for trades people?
I would have thought the opposite because pest control is the easiest thing to DIY for most people. All the insecticides and traps and knowledge for what to use is available online, there is usually no emergency so research can be done, and no technical skills to learn most of the time.
I'd really love to read a dedicated article on this side project.
Apparently, Karpathy is into AI based education business with Eureka Labs [1].
[1] Introducing Eureka Labs:
Given this company is basically the best, they should really build their own revision / quiz tool. The most valuable part of training was a webinar which I took notes from, and turned into revision cards alongside info from the books and revised the way I know works for me. They could do this bespoke for each trainee in seconds now.
I think this falls in exactly that situation. You see how janky these national companies are doing things, plot out a disruptive course, then disrupt them in a particular region so that you can extrapolate how much that will hurt at national scale and force a buyout that's way beyond the multiple you bought those small operators for.
The issue isn't the AI output quality — it's that most builders (myself included, initially) use AI reactively. Ask a question, accept the answer, move on. No structure for maintaining context between sessions or verifying that new additions stay coherent with the existing system.
The builders who get the best results seem to treat Claude/Cursor more like a junior dev: useful, but you review everything, and you explicitly maintain shared context about the state of the project.
Domain-specific SaaS is actually a great use case for this because the problem space is bounded — you can give the AI a really tight context. "We are building scheduling and invoicing for pest control companies. Current architecture is X. Today we are adding Y." That specificity makes the output dramatically better than generic prompting.
Good luck with the build — the insight to go learn the domain in person before building is genuinely rare and gives you a huge moat.
Voice input that actually works to reduce screen time and distractions while driving or wearing gloves on site. Understanding and reacting to parking availability in cities, prompting the technician to upsell in the way the system knows he's most comfortable with (so he actually does it).
Incumbents will have to base this on Salesforce and adapt it which is expensive and a grind. Even if they have appetite for that, retraining the technicians who are used to the existing way will be horrendous.
Side note, is it just me or do these services seem designed to be a short term patch so I have to have a long term, every 6 month, sort of servicing from the pest control company?
I'm personally anti-AI. I checked out his app, and whether vibe-coded or not, it looks very well done. And the app actually has both offline mobile apps + web apps. And it's free? And FWIW, pestpro.app was registered ~1 month ago.
Spinning a web like that today is 30 minutes of Claude Code prompting.
But like it or not, the gatekeeping of Apple and Google means that pushing an app to their stores is days work and wait time.
So yeah, reeks of ai slop.
The insight about companies being less willing to offer ride-alongs resonates. I have noticed the same thing in other verticals. Taking the job yourself is the cheat code that most developers are too proud to use.