Podbit · The Hidden Third
After locating three or four missing Ford heavy trucks on her first day, Michelle's mentor Brian suggested she start her own company called Unlimited Recoveries. She had no business experience — but an undeniable natural talent for finding anything.
Where this was said
At 34:24 · chapter starts 32:30
With the court case against her assailant resolved and her year at Texas State Specialties behind her, Michelle returned home to Lockhart, Texas, and tried to put skip tracing in the past. It found her anyway. A contractor named Joe Burleson called on behalf of Ford Motor Company, which needed three or four missing F-350 and F-450 trucks with car carriers located [1] — Michelle Gomez "After locating three or four missing Ford heavy trucks on her first day, Michelle's mentor Brian suggested she start her own company called…" 34:24 . Her former mentor Brian was on the call, sponsoring her return. Michelle hesitated — she didn't think she was ready to run her own operation. But she took the case and located all the trucks before the end of the day. Brian recognized what he was seeing and suggested she open a company called Unlimited Recoveries. Michelle had no business experience, but an undeniable natural talent. The conversation traces her journey from individual contractor to business owner, spanning a growing range of clients from financial institutions like Rush, Kubota, Freightliner, and Mack to high-stakes individual cases.
When Ford tasked Michelle with finding 3–4 missing heavy trucks with car carriers, she located them all before the end of the same day, prompting her mentor to suggest she start her own company.
Michelle obtained her Texas private investigator license in 2014, though she had been practicing skip tracing legally as a contractor for corporations well before that.
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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