This episode of “My First Million” features the “Shoot Your Shot” format where three founders pitch their businesses live in San Francisco, ranging from a cooking robot startup to a chocolate bar brand and an AI dental billing automation company.
Raghav Gupta, Posha — Cooking Robot for Home Kitchens
Posha builds a countertop cooking robot that automates one-pot meals using computer vision and AI to mimic a chef’s judgment of color, texture, and consistency.
The device costs $1,500, ships with ingredient containers, a spice drawer, oil/water reservoirs, and a camera that monitors cooking in real time.
It handles stirring, heat regulation, and timed ingredient addition, reducing active cooking time from ~60 minutes to ~10 minutes; it does not chop, grill, bake, or flip foods.
Popular dishes include Indian paneer, Italian risotto and pasta, and Thai curries — cuisines where constant stirring or precise heat control matter.
The company has shipped 1,000 units to real homes, reports 3x/week usage per household (beating oven frequency), and claims M6 retention higher than DoorDash or HelloFresh.
Last month recorded $2 million in pre-order bookings (cash collected); total raised is $8M from Excel over ~8 years since founding in India, formalized 5 years ago.
Training data comes from both professional chefs and customers; the strategy mirrors Tesla’s: ship a useful product early, collect real-world vision data, improve autonomy over time.
Current bottlenecks are manufacturing scale and post-sale support logistics; a smaller version for dense urban kitchens (e.g., NYC) is in development, followed by a built-in range replacement that cooks four dishes simultaneously.
Founder’s father runs a wheat-grinding business in India; fresh food has been a lifelong theme.
Ask: help building community — hosts debated whether Posha needs an audience (chairs facing stage) or a community (chairs facing each other), suggested studying Ninja Creami and air-fryer Facebook groups, creating shared lore/rituals/language, and identifying the core “religion” (time savings vs. foodie enablement) to anchor the community.
Nick Saltarelli, Mid-Day Squares — Refrigerated Chocolate/Protein Bars
Mid-Day Squares sells refrigerated, dual-layer chocolate squares (e.g., peanut butter base with jelly top) positioned for the underserved afternoon snack occasion.
$40M revenue in the last 12 months (~60 bars sold per minute, every minute of the year); on track for ~$60M this year.
Bootstrapped initially with $60K from three partners (Nick, his wife, his brother-in-law); later raised ~$22M via quasi-equity and Canadian government agricultural manufacturing grants.
Built their own manufacturing plant after co-packers refused the product; cocoa crisis (cocoa butter from $4K to $32K/kilo) erased 27% of gross margin overnight after profitability was reached.
Early growth: hand-delivered 50¢ bars in Montreal for 5 months, filming personalized Polaroid drop-offs (e.g., shouting out the customer’s dog) — hit $1M in ~4 months with zero paid ads.
Revenue ramp: Year 1 ~$1.4M, Year 2 ~$3M, then $7M, $14M, $22M, $30M, $40M.
Costco entry took 2.5 years of price negotiation; broke the 14-day roadshow sales record (~160K units in 36 days across multiple locations) by having founders work the floor themselves, yelling keywords (gluten-free, diabetic-friendly, real chocolate) that also informed packaging redesign.
Marketing leans on raw, behind-the-scenes storytelling (factory tours, lawsuits, diss tracks against Reese’s over the color orange) and chef-to-celebrity seeding (Kim Kardashian spotted unpaid twice via her chef).
PB&J SKU is now #1 by far; brand sees parallels to Uncrustables but fresher and healthier.
Ask: flavor ideas and how to make the brand story “pop” more clearly — hosts suggested sharpening the “real chocolate, kept cold, no preservatives” message and owning a Facebook community for recipe sharing.
Shreyas Parab, DayDream Dental — AI Automation for Dental Insurance Billing
DayDream Dental automates the back-office revenue cycle for dentists: insurance verification, claim submission, denial appeals, and payment posting — all via AI voice agents that negotiate with insurers’ own AI systems.
Adds ~$1M ARR per month; ~926 days old; $11.5M raised; on track for >$10M ARR by year-end; ~60 people (50 in service delivery, 10 in-office); near profitability.
Origin: founder (25, Stanford CS/NLP background) took over his mom’s practice when she got sick, discovered she was losing 10–15% of revenue to insurance denials and manual billing errors.
Acquired a <$1M revenue manual billing service as the wedge, then layered AI to improve margins and scale.
Business model: 2.5–3.5% of every dollar collected (not just recovered); processes all billing, so revenue scales with practice collections.
Vision: become the financial OS for independent dentists (70% of market) — storing money, lending, offering an alternative to PE roll-ups that force sales.
Growth: ~30–50 new practices/month via word-of-mouth in dentist Facebook groups, conference sponsorships, dental podcasts, and creative direct mail (face-on postcards, AirPods offers).
Bottlenecks: hiring engineers who want “mission” over AGI hype; dentists resist change management; PE roll-ups are distracted by debt service.
Hosts advised: study classic direct-response copywriting (Joe Sugarman, David Ogilvy) to sharpen mailers; create a “DreamCon” user conference/community; partner with dental influencers; craft a one-line kill shot (e.g., “We fight insurers and put an extra $50K/year in the average dentist’s pocket, with all money collected in 10 days”).
Offer idea: “We don’t charge until we’ve made you $100K” to remove onboarding friction.
