Founder Playbook · The Bootstrapped Founder
10 tactics from Spencer Patterson
Spencer Patterson — Mastering Market Niches and Startup Growth
Watch the full episode“I'm having this issue as someone who's doing this so I started researching other people who were doing similar things in in that space and I saw that they were having the same similar issues and I'm like well if I'm not the only one having the issues and they're having these issues that must mean there's a gap here somewhere”
Hit the gap you hit — then check peers feel it too
Spencer found product-market fit by being his own first user. Day-trading with a partner surfaced a workflow problem; researching peers in the same niche confirmed the same gap existed for others. That overlap — your own pain plus a tribe sharing it — is the validation signal worth building on.
“let me tell you the first MVP was garbage I mean when I tell you garbage it was the worst MVP you could ever imagine it would like crash every couple of hours but being in sales I was like I could still I could sell the hell out of this like I'm just gonna you need this in your life”
Ship the garbage MVP and sell the hell out of it
Spencer hired one developer, shipped an MVP that crashed every few hours, and pitched it anyway. Non-technical founders with a broken product who can sell out-ship polished engineers who treat marketing as someone else's job. The build-in-public crowd over-indexes on craft and under-indexes on selling.
“if you guarantee that you'll bring over your x amount of audience I'll get that feature built and they're like sure we'll do it so I listen one of the big things that my mom taught me was just say yes and figure it out later”
Say yes, then figure it out — but only when the deal is real
When prospects asked for missing features, Spencer would commit on the spot — but only if the customer guaranteed real volume. Sometimes it worked; sometimes the customer ghosted after a custom landing page got built. The fix: repackage the dead-end feature as a general capability and sell it across the base.
“I ended up contacting one power user I was like hey if I give you the system completely for free will you be our main support guy and just help on board all the new people by the end of it we had five to seven power users getting the system completely free or for like very affordable and they would just be 247 being the customer support”
Recruit power users as your 24/7 support team
Customer support was eating Spencer's day, so he traded free or discounted access to 5-7 power users in exchange for 24/7 coverage. Cost: lost subscription revenue from a handful of accounts. Gain: customers explaining the product to new customers in their own words, around the clock, with deeper expertise than any hire could match.
“you have to identify the M[oat] prior to building I think that's one of the big things because if you just go into this going oh I'm just going to build this I think you go well how can I prevent someone else from taking it”
Identify the moat before you build, not after
Spencer's rule for the AI-wrapper era: decide what makes the business hard to copy before writing a line of code. A scraped database of 5M podcast transcripts is a moat because replicating it costs time and compute. A Tailwind wrapper around an OpenAI call isn't — Vercel will one-click-deploy your idea before the launch tweet lands.
“I just started posting all the winning screenshots of what he was doing and you know all the trades that we were making and everything well within a few months we had 300 people paying us $30 a month and that was like within 90 to 100”
Post proof in the niche's native format, not opinions
Pre-pandemic, Twitter was for journalists and TikTok didn't exist, so Spencer picked Instagram because that's where retail traders lived. Posting daily winning-trade screenshots — raw proof, not commentary — converted 300 paying subscribers at $30/month inside ~100 days. Pick the one channel the niche already lives on; let the proof artifacts do the selling.
“there's other steps you need to take prior to to to doing your your marketing campaigns though such as well I mean you know you need to First make sure your pricing is is on point that you're not you know keep gatekeeping the the product from people you need to determine if you're doing a premium model or if you're doing a explicitly paid model how low is your barrier to entry”
Audit pricing and barrier-to-entry before marketing spend
Marketing spend amplifies whatever conversion machine sits underneath it. Spending on ads before fixing pricing tiers, barrier to entry, and LTV math is flooring a car that hasn't had its oil checked — wasted fuel and likely engine damage. Lock the funnel before paying to fill it.
“post churn I should say for the customer that exit yeah surveying them yeah surveying them and saying like hey why did you leave not necessarily just like yeah we're not we'll we'll try to win them back but more so for our own edification to say okay yeah we need to we need to fix this because if they're leaving for a stupid reason that could have been fixed in two seconds that you know you you really need to”
Survey churned customers to find the stupid two-second fixes
Reframe churn surveys from win-back tool to product intelligence loop. The goal isn't bringing the customer back — it's preventing the next 100 churns by surfacing trivial fixes that wouldn't show up in any dashboard. Most exits are caused by something that takes two seconds to repair once it's named.
“someone goes through the signup process and there's nine clicks to get just signed up well you know what there's a problem with your optimization there we made the checkout process one click as opposed to three clicks and what we found was yeah it did actually increase the the numbers a little bit”
Count the clicks in signup — one-click beats three-click measurably
UX bugs, not code bugs, silently kill conversion. Auditing the literal click count on signup or checkout is a fast, concrete optimization any founder can run without engineering. Spencer collapsed checkout from three clicks to one and measurably moved conversion — a tweak that costs hours and pays back forever.
“I've got about 30 alarms on my phone I need to remove as much of that as possible the decision-making process out of there if I go over more consistantly in let's say a week or two week period I'll say okay you know what this time slot is obviously not working why is it not working”
Time-block the entire day to remove decision fatigue
Spencer runs ~30 alarms covering wake, pills, breakfast, water, work blocks — everything is pre-decided so willpower isn't spent on micro-choices. When a block consistently overruns across a 1-2 week window, that's the signal to restructure the schedule, not push harder. Time-cost ROI drives the audit.