Podbit · BiggerPockets Real Estate Podcast
Remington uses a multi-pronged deal flow approach: realtors, pocket listings, wholesalers, personal cold calling, and virtual assistants in the Philippines who cold call on his behalf. About half his deals came from realtors; the other half off-market. The lesson: maximize every lead channel available.
Where this was said
At 20:48 · chapter starts 20:00
The BRRRR wasn't the end of this deal's story — it was just the beginning. After pulling out all invested capital through the refinance, Remington and his mentor eventually sold the 4-unit and executed a 1031 exchange, deferring capital gains taxes by rolling the proceeds directly into a 24-unit apartment building [1] — Remington Lyman "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 excha…" 18:09 . Found through the same cold calling approach that sourced the original 4-unit, this new building represented a 6x increase in units in a single transaction. It's a vivid illustration of how equity compounds: a $80,000 purchase became the foundation for a multi-million-dollar apartment building, all within a few years and without paying a dollar in capital gains tax at the time of sale.
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.
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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