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To the victor go the tokens.

Every weekly champion, built into a live MVP — claimed by the founder under their own name.

  1. WK 0290/100

    LotPilot

    Ten years of lived pain is a real moat — now prove the AI can pass for a closer.

    Got it. That's a real edge — and it's actually the most valuable kind for this business, more than a technical or VC background would be. Let me reshape the pitch around it. A few things I'm going to lean on as I write: 10 years selling cars = you've lived the pain. You're not a tech founder guessing at dealer workflows; you've answered the 11pm Marketplace message yourself. Facebook Marketplace expertise = you know what actually converts there. Listing format, photo order, response timing, the dance of "is this still available?" — that's tacit knowledge most software founders don't have and can't fake. AI advertising experience = you've already been using these tools in the wild, not just reading about them. You know what works. Here's the rewritten pitch. LotPilot AI The AI sales assistant for independent used-car dealers. Every Marketplace lead answered in 60 seconds. Every test drive booked. In English or Spanish. 24/7. The problem I lived for 10 years I've sold cars for a decade. I know exactly where deals die: it's 9pm on a Tuesday, three people message about the same 2018 Altima on Facebook Marketplace, and by the time anyone replies the next morning, two of them already bought from the dealer who answered first. Independent dealers running 20–150 cars are bleeding leads every night and every weekend. They're paying $1,500–$4,000/month to AutoTrader and Cars.com for leads they can't respond to fast enough, while Marketplace — now their best free channel — runs on a single overworked salesperson's phone. They don't need another dashboard. They need someone answering the phone. What LotPilot does LotPilot is the AI salesperson that never sleeps. It: Answers every Marketplace, SMS, and web lead in under 60 seconds, in English or Spanish Qualifies the buyer (trade-in, financing, timeline, ZIP) without sounding like a bot Books the test drive straight onto the dealer's calendar Hands off to the human the moment the buyer is ready to talk numbers That's the wedge. Listings, reposting, and inventory videos come later. Lead response is the bleeding wound, and it's where a dealer sees ROI in week one. Why now Two shifts made this possible in 2025, not 2022: LLMs are finally cheap and fast enough to handle the "is this still available?" → test-drive-booked conversation without sounding robotic. Facebook Marketplace has quietly become the #1 discovery channel for independent dealers, and none of the legacy DMS vendors (Frazer, DealerCenter, AutoManager) have a serious answer for it. Founder's edge I'm not a tech founder guessing at this market. I've spent 10 years on the sales floor. I've answered thousands of Marketplace messages personally. I know the exact phrasing that books a test drive vs. the phrasing that gets ghosted, because I've A/B tested it with my own commission on the line. I've also been using AI ad tools in the field — not theoretically. I know what converts on Marketplace because I run the playbook every day. That gives me three things a typical SaaS founder building "AI for dealers" doesn't have: A trained ear for what sounds like a salesperson vs. a bot. The AI's voice is the product. Mine has been calibrated by 10 years of closed deals. Direct access to the customer. I can walk into Atlanta auctions on Saturday morning and talk to 50 dealers before lunch. They'll take my call because I'm one of them. A working playbook on day one. I'm not designing the conversation flow from a focus group — I'm encoding what alr

  2. WK 0135/100

    KennelCast AI

    Real money left on the table, real operator pain, and a wedge tight enough to own.

    KennelCast AI An AI demand-forecasting and pricing tool for small dog boarding facilities with 10–75 kennels that still guess staffing, pricing, and availability based on last year’s calendar. The product predicts booking demand by date, flags high-demand weekends, recommends price increases, estimates staffing needs, and sends automated rebooking offers to past customers before holidays. Metric: A 30-kennel boarding facility charging $55/night could earn an extra $2,000–$6,000/month by raising prices 10–20% on peak dates and reducing empty kennel nights. Why now: Pet boarding demand spikes around travel seasons, and small operators are getting squeezed by labor costs. AI can now combine booking history, local school calendars, holidays, weather, and nearby event data to make revenue-management tools simple for non-technical owners. First 100 users: Reach owners through pet boarding Facebook groups, local kennel associations, Google Maps cold outreach, and a free “holiday revenue audit” showing how much money they left on the table last Thanksgiving, Christmas, and spring break. Positioning: “Airbnb-style pricing intelligence for dog boarding businesses.”