ReCult
ReCult, Explained
Palo Alto app turns your blood test into a lunch menu
Meals matched to your labs.
recult.app · October 2026
The phones are real app screens on a test account. The tags trace one real rule: an LDL above the lab’s range becomes a per-meal saturated-fat limit, and only dishes inside it are shown.
The opportunity
App turns blood test results into lunch orders, eyes $3.3 billion market
It reads cholesterol, triglycerides and blood sugar from a lab report, then shows only nearby dishes that fit.
$3.3B
a year from high cholesterol alone
86 million US adults (CDC). ReCult also reads blood sugar, and 98 million have prediabetes.
$38M
a year at 1 million users
Just 1.2% of that market. About $38 per user per year.
$2.40
on every $15 lunch
10% commission from the restaurant + 6% service fee.
How it earns
- 1Blood test
- 2a menu that fits it
- 3a nearby order
- 4$2.40 to ReCult
Eat orders only, potential not a forecast: 2 orders a month, after card and server costs. Pulse, Shop and Plus revenue not included.
The problem
Blood tests flag problems but never say what to order
Hard to read
“LDL 142 H.” “A1c 5.9 H.” Most people can’t tell what that means for lunch.
Vague advice
“Eat less saturated fat.” It never tells you which dish to order.
Nothing connects them
Health apps show your numbers. Delivery apps sell food. Neither knows about the other.
Meet Eat · the lunch tab in ReCult
Eat lists hot meals from nearby restaurants that are open now
Live screens from the App Store version.
How information flows through ReCult
How a lab report becomes a lunch order
Health data flows down from a patient portal, Apple Health or a lab PDF; restaurant menus join at Match. Patient-portal sign-in and Apple Health are in the works; PDF and photo upload are live today.
Inside the app · real screens
Users upload a blood test and get a lunch menu built for it
Real screens from the ReCult app with a fictional sample lab report and a test account; orders on this account are test orders.
How you use it
Swipe through dishes that fit, then tap to order
Tap a number to find it on the screen.
- 1Lunch, dinner or snack
Breakfast, lunch, snack or dinner. The best fit is always first.
- 2Swipe up or down
One full-screen dish at a time. Every swipe shows the next meal that fits you.
- 3“Fits your Menu”
This dish is inside your limits and free of your allergens.
- 4Tap Order
Pickup, delivery or dine-in, whichever the restaurant offers.
- 5Beep
Tell people nearby it’s worth knowing about. A signal, not a like.
- 6Chat
A live public chat on this dish. See what people say, add yours.
- 7Keep
Save it to Keeps, with your saved events and Pulse posts.
- 8Send
To one friend, your whole Loop, or onto Pulse.
What an upload returns
Eight lab values shape every lunch
- LDL cholesterol▲ Above the lab’s range≤ 6 g saturated fat≥ 8 g fiber
- Total cholesterol▲ Above the lab’s range≤ 6 g saturated fat≥ 8 g fiber
- Triglycerides▲ Above the lab’s range≤ 12 g sugar
- HDL cholesterol▼ Below the lab’s range≥ 8 g fiber
- Glucose▲ Above the lab’s range≤ 10 g sugar≤ 60 g carbs≥ 8 g fiber
- Hemoglobin A1c▲ Above the lab’s range≤ 10 g sugar≤ 60 g carbs≥ 8 g fiber
- Vitamin D▼ Below the lab’s rangeFavors vitamin D–rich dishes: salmon, trout, halibut
- Ferritin (iron)▼ Below the lab’s rangeFavors iron-rich dishes: lentils, beans, chickpeas
Fat, sugar and carb caps are hard limits. Fiber, vitamin D and iron are preferences that lift a dish higher; vitamin D and iron are scored from each dish’s ingredients using USDA data. Each rule fires only when that value is outside the reporting lab’s own printed range.
A day with ReCult
How a user goes from hungry at noon to fed by 12:20
- Once
Uploads her blood test. Sees what’s high.
- 12:00
Swipes her Menu. One dish per swipe, all fit her numbers.
- 12:02
Orders a Sweetgreen bowl. Pickup on Ramona St.
- 12:20
Picks it up on the walk back.
No label reading. No guessing. Lunch that fits her own numbers.
The user is illustrative; the screens are real, using a fictional sample lab report and a test account.
Beyond lunch
Posting to Pulse and finding deals in Shop
Beyond lunch · Pulse
Anyone can post to Pulse, tagged by category and city
- 113 categories, each with subcategories
From Happening Tonight and Food & Drink to For Sale, Jobs & Gigs and Housing. Each splits further: Tonight, Live Now, Open Now.
On: Post · What - 2Any place, down to the neighborhood
State, metro, area, or a pin on the map. Readers filter up to 50 places at once.
On: Post · Where - 3One post, up to 3 cities, free
Pick a primary city and two more. The post runs in all three.
On: Post - 4Write, record or upload
Text, photo or video, with an optional sound.
On: Post - 5Paid only when it’s commerce
Listings for For Sale, Jobs, Services and Housing: $5 for 14 days. Boost any post: $9 for 48 hours.
On: What
Screens are from the live app on a test account.
Beyond lunch · Shop
Shop finds the lowest total price on almost anything
- 1Search any product
One search compares listings across connected stores: “75 finds from 3 shops.”
On: Search - 2Ranked by what you actually pay
Item + shipping + duty. Sort by Marked down, Best value, Deepest cut or Cheapest.
On: Search - 3Browse by department
Clothing, Electronics, Home & Kitchen, Furniture, Beauty, Toys, Automotive and more.
On: Browse - 4A crate, not a cart
Add finds to your crate, see the running total, set an optional monthly budget.
On: Search - 5No store can pay to rank higher
ReCult may earn an affiliate commission. It never changes your price or the ranking.
On: Search
Part two
Why it’s different and protected
What makes it different
Allergies always win; restaurants can’t pay to rank higher
Only what you can order now
Menus come from restaurants’ own ordering systems. Closed or sold out? Hidden.
Allergies always win
A dish with your allergen never shows up. No setting or sponsor can change that.
Written rules decide, not AI
Every limit comes from a fixed rule tied to a lab value. AI never decides what’s safe.
Restaurants can’t pay to rank higher
The best fit for your numbers always comes first. Restaurants never see your health data.
The patent
ReCult files patent on matching lab results to live menus
- Status
- Patent pending (U.S. provisional application)
- Application no.
- 64/186,023
- Owner
- BDM LLC
- Next step
- Full application due by October 28, 2027
12 months
The provisional locks the October 28, 2026 filing date for 12 months.
What the patent protects
The patent covers the full chain, from lab report to order
- 1
Confirms what it reads
If the app isn’t sure it read a value right, you confirm it first.
- 2
Turns results into limits
High LDL becomes “at most 6 g saturated fat” per meal. Allergens are filtered out first.
- 3
Shows only orderable food
Menus come live from the restaurant: open, in stock, ready to order.
- 4
Ranks by health, not payment
Best fit comes first. The order and payment run through the restaurant’s own system.
The patent claims these four steps working together. That chain is what’s hard to copy.
Protecting the idea
The patent filing belongs to the company, not an individual
- ✓Provisional patentDone
Filed October 28, 2026
- ✓Ownership moved to BDM LLCDone
Assignment recorded at USPTO
- Move to a Delaware C-corpWhen formed
Second assignment, free to record
- Full patentBy Oct 28, 2027
Filed with a patent attorney
- “ReCult” trademarkFiling next
Name search came back clear
Part three
The business and how much it can make
The business today
Four products are already live in one app
Where ReCult sits
Health apps give advice and food apps sell meals. ReCult connects the two.
DoorDash, Uber Eats, Grubhub. Fast food delivery, but they know nothing about your health.
MyFitnessPal, Noom. You log food by hand; no lab data, no ordering.
Function Health, InsideTracker. They read your blood, then hand you a PDF of advice.
Your own lab results turn into meals you can order nearby, right now.
Positioning, not a market-share claim.
How it makes money
ReCult earns from five streams; the projections count only one
- Eat orders10% + 6% of the foodRestaurant commission + customer service fee● Counted in the earnings figures
- Pulse boosts$9 for 48 hoursAnyone widening a post’s local reach○ Not counted
- Pulse listings$5 for 14 daysSellers, employers, services, housing○ Not counted
- ShopVaries by merchantRetailer affiliate commission○ Not counted
- ReCult Plus$4.99/mo or $39.99/yrSubscribers skip the 6% fee○ Not counted
The earnings figures below count Eat orders only. Pulse boosts, Pulse listings, Shop commissions and Plus would all add to them. Plus is built and priced, but switched off until launch.
One order, by the numbers
A $15 lunch earns ReCult $2.40
- $15 meal$15.00
- Service fee (6%), paid by the customer$0.90
- Commission (10%), from the restaurant$1.50
- Restaurant: the meal price minus the 10% commission$13.50
- ReCult: $0.90 service fee + $1.50 commission (10%)$2.40
At the default rates, before card processing and tax. This is the Eat order only; Pulse, Shop and Plus earn separately. Plus subscribers pay no service fee, so their orders earn the $1.50 commission only.
Potential earnings · Eat orders only
At 1 million users, the model points to $38 million a year
Eat orders only, after costs, at 2 orders a month; potential, not a forecast. Pulse, Shop and Plus revenue not included. The 86 million row counts only the US adults with high cholesterol (CDC). Grey rows for scale: Yelp app 2025; DoorDash worldwide, end of 2025. Bars are drawn to one linear scale.
Part four
What’s live and what’s next
Where things stand
What’s live today and what ships next
Live 3
- iPhone app (1.0.14)Growing users
- Labs pilot (invite-only)Enrolling 200 Stanford users
- Shop deal finderAdding merchants
Built 2
- Restaurant card paymentsLaunching with the pilot
- ReCult PlusRolling out after the pilot
In the works 2
- Patient portal and Apple Health sign-inLaunching after Epic approval
- Delivery and dine-inDelivery partner built; dine-in next
Launching now
Lab pilot opens to 200 invited users near Stanford
200
invited users near Stanford
- 1
Who
Up to 200 people with one shared invite code. Everyone else sees today’s app.
- 2
Safeguards
Consent screen first. No AI reads lab files. Data can be deleted any time.
- 3
The test
Do people with labs uploaded order more often, and come back?
Live in version 1.0.14, invite-only.
The next 90 days
Paid orders start next month; pilot results due in 90 days
Weeks 1–2
Labs pilot opened to the first Stanford users.
Weeks 3–6
Real payments switched on. More restaurants added through Square and other ordering platforms. First paid orders.
Weeks 7–12
Pilot results in hand. Plus subscriptions switched on. Real results from real paid orders.
The one number to watch: order rate and repeat rate for lab users versus everyone else.
What a successful launch looks like
How ReCult will measure a successful launch
100
pilot users upload their labs
20
restaurants orderable near Stanford
1,000
paid orders
2×
lab users order twice as often as other users
40%
order again within 30 days
0
allergy or safety incidents
Proposed targets, not results.
Lunch is in an hour. Order it with ReCult.
Search “ReCult” on the App Store · recult.app
Food is social
Pulse covers the city. Loop covers your people.
The six tabs along the bottom
2 · Pulse: your city
Everything happening around you, live: tonight’s events, food and drink, pop-ups, deals, things for sale. Post your own, Beep what people nearby should know about, and chat right on the post.
Share a dish: Send → Post to Pulse
5 · Loop: your people
Stay in the loop with places to eat and people you meet. Loop someone to follow them, see what they’re up to in any city, and message them from their profile.
Send a dish to one friend or your whole Loop