01 · Seed
Pre-seed · 2026

TryEat.

A sommelier in your pocket — one scan, every menu, matched to you.
Raising
$[XX]M seed
Contact
xettss@gmail.com
Deck
April 2026
02 · Problem
Problem
Every menu is a decision tax
we all pay — and travelers
pay it twice.
73%
Decision fatigue

Freeze at the menu.

Travelers report spending 4–9 minutes choosing a dish in a foreign restaurant — and still leaving unsure.

1.2B
Hidden constraint

Allergies & beliefs.

Global population eating under allergy, religious or medical dietary rules — ignored by every menu.

[XX]%
Ordering regret

Paid for wrong dish.

Diners who leave a restaurant feeling they picked the wrong dish — a quiet $-hit on repeat behavior.

03 · Insight
The unlock

Match scoring was never possible in food — until now.

Vision-LLMs became cheap enough and accurate enough in 2025 to read any printed menu, parse each dish, and match it to a human's context — allergies, mood, company, past favorites.
Pre-2023
Menus were opaque.
OCR was brittle, parsing cuisine-aware structure impossible, and running models on mobile cost more than a restaurant bill.
2024–2025
Vision models matured.
GPT-4V, Claude 3.7, Gemini 2 handle messy handwritten menus in any language, extract ingredients, classify by dietary tags.
2026+
Unit economics close.
Inference cost per scan $[0.02]. We charge Pro users $[7.99]/mo. 400× margin on the core action.
04 · Solution
Solution

One scan. Every dish ranked for you.

Top match
96% for you
96%
Sea bass al forno.
"Clean, briny, herbal. Light enough after last night's heavy dinner — and you've loved branzino in Milan."
With · from menu
sea bass · olive oil · Amalfi lemon · thyme · grilled asparagus · roasted potatoes
Show to waiter · €22
What changes

No more decision tax.

Scan the menu in a foreign restaurant. TryEat reads every dish, cross-checks your profile (allergies, religion, taste history), and ranks the three best picks with a reason.

Tap the winner, show it to the waiter in the local language. Done in 8 seconds.

05 · Product
How it works

Three taps, eight seconds.

From fumbling with a foreign menu to confidently ordering your dish — no Google, no translation app, no asking the waiter for help.
Scan menu
camera frame
tap to capture
01
Scan.
Point at the menu. One tap. Works on handwritten, foreign, chaotic layouts.
#1 · Top pick
96%
Sea bass al forno
"clean, briny, herbal — fits your last-night dinner."
With · from menu
sea bass · olive oil · lemon · thyme · asparagus
Show to waiter
02
Match.
Three ranked dishes with a one-line reason and full ingredient composition.
"branzino
al forno"
with lemon & thyme
show this to your waiter
03
Order.
Tap the winner. Auto-translated dish name appears bigger-than-phone for the waiter to read.
06 · Market
Market

The numbers are absurdly big.

1.4B
International trips per year.
UNWTO 2025 · +10% vs pre-pandemic
1.2B
People eat under dietary rules.
halal 1.9B · kosher 14M · celiac 75M · allergy 220M · vegan 80M
$[XX]B
Annual restaurant spend by this cohort.
our directly-addressable TAM
Why now

A wave we can ride.

Travel back to 110% of 2019. Vision-LLM cost dropped 40× in 18 months. iOS 18 alternate app icons normalized per-moment tools. Gen-Z is 3× more likely to pick a restaurant via app than Gen-X.

07 · Business
Business model

Free for the curious. Paid for the regular.

Freemium with a hard ceiling — enough to taste, not enough to substitute. Travelers convert on trip #2.
Free

Taste.

$0
  • 3 scans per month
  • 1 allergy profile
  • Basic match reasoning
  • English + 2 languages
Pro · main wedge

Everyday sommelier.

$[7.99]/month
  • Unlimited scans
  • Full dietary + religion profile
  • Dish history & favorites map
  • Show-to-waiter in 40+ languages
  • Offline mode for travel
Restaurant · future

Verified menu.

$[XXX]/month
  • Verified ingredient layer
  • Allergen transparency badge
  • Analytics dashboard
  • 2027+ · second revenue line
08 · Traction
Traction

Early signal. Steep curve.

Closed beta since [XX]. Building in public. Every metric below is measured, not forecasted.
Waitlist
[XX]k
signed up in first [XX] weeks, 0 paid marketing
Beta users
[XX]
active weekly across [XX] cities
Scans completed
[XX]k
average 3.4 scans per session
D7 retention
[XX]%
vs 14% median for travel apps
Pre-commits
$[XX]k in soft-committed angel checks · [XX] design partners signed · one unprompted coverage piece from [XX].
09 · Team
Team

Small, obsessed, design-first.

We've shipped before. We travel constantly. We know this pain from the inside.
I
Founder · CEO

Ivan [LastName]

Previously [XX] at [XX]. Built [XX product]. Shipped 3 apps to [XX]k users.

"Every trip started with me squinting at a foreign menu wondering what's safe. I'm building the thing I wish existed."

[?]
Founding engineer

[Hire #1]

iOS / vision stack. Target: ex-[XX] ML engineer, ex-[XX] app builder.

Part of the seed ask — recruit by Q3 2026, equity bucket reserved.

A
Advisors

[3 advisors]

ex-food-tech founder · ex-mobile-growth lead · practicing sommelier.

Regular 1:1s. 0.25–0.5% each over 2y. Names available on request.

10 · Ask
The ask
$[X].[X]M
18-month runway to $[XX]k MRR, 40k Pro users, and the first restaurant partnership layer.
Round
Pre-seed · SAFE
Valuation cap
$[XX]M
Use of funds
60% product · 25% growth · 15% runway
Runway
18 months
Lead
seeking $[XXX]k lead check
Let's talk
xettss@gmail.com
01 · 10