Podbit · BiggerPockets Real Estate Podcast
Columbus wasn't just convenient — it exploded with manufacturing investment from Intel, Anduril, and Honda, plus a massive higher education ecosystem supplying workforce talent. Remington saw it early and stayed put while the market appreciated around him.
Where this was said
At 20:00 · chapter starts 18:08
There's no shortcut described here — just old-fashioned hustle. Every day after work, Remington would pull lists from the county auditor's website and call owners of 2-to-4 unit properties in his target zip code [1] — Remington Lyman "Remington was cold calling property owners from the county auditor site after work to find deals. One owner didn't want to sell but gave hi…" 15:55 . Most said no. Some had interesting conversations. And one elderly owner, not interested in selling anything, gave Remington a phone number: a local agent who had found him deals for years. Remington called the agent, they met for a beer, and a mentorship was born. Dave Meyer's takeaway is pointed: the best mentors aren't found through a prescribed process — they emerge from consistent, genuine effort and relationship-building. This is the story behind the story of that landmark BRRRR deal.
Remington used a 1031 exchange to roll equity from a 4-unit property into a 24-unit apartment building, multiplying his unit count sixfold with one transaction.
After the BRRRR forced out all the capital and more, Remington and his mentor didn't stop there. They sold the 4-unit and used a 1031 exchange to defer taxes and roll all the equity into a 24-unit apartment building they still own today — found through the same cold calling hustle.
SiteGPT attracted over 1 million visitors and $500K in total revenue without spending a cent on paid marketing. The secret: engineering as marketing — building free tools that rank on Google.
Bhanu quit his first job after just 8 months, moved back to his parents' house to cut costs, and started building. One product sold for $250K; the next hit $10K MRR in its first month.
90% of SiteGPT's Google search traffic comes not from the main product but from ~50 free tools Bhanu built. Each tool targets a low-competition keyword and funnels users back to the paid product.
50,000 monthly visitors become 200 leads, 60 trials, and roughly 15–24 new customers per month at ~$100 average revenue each. Add a $1,700–$1,800 LTV and you have a very healthy SaaS.
Start with a blank Ahrefs search, layer in keyword filters (include term, KD < 10, volume > 1,000), list candidates in Notion, design a CTA linking to your main product, then score by volume, difficulty, build effort, and product relevance. That's the whole playbook.
Marketing feels painful for most builders. Engineering as marketing flips the script: instead of writing cold emails or blog posts, you build things — and those things rank on Google forever.
Don't spend months perfecting before launch. Ship the core feature, get real users, and let their feedback dictate the product roadmap. Premature polish is a trap.
SiteGPT launched and hit $10,000 MRR within its first month. That momentum was so overwhelming that Bhanu sold his existing SaaS, Feather, for $250,000 to free up all his time.
PropGPT launched with 20 downloads a day and strong influencer marketing but hit a ceiling at $1,000–$2,000 MRR. High download numbers masked a critical flaw: almost nobody stuck around after the free trial ended.
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