Lingo — print view (15 slides)
Machine
salom → hello
Lingo
hi · wassup ·
good day · hey you
LINGO
Translation that knows who's speaking, and to whom.
This idea
did not come
from a deck
I used to text friends abroad through a translator. Every single time, they noticed instantly.
The grammar was never the problem. I wrote correctly — but not like a human.
I built Lingo because I needed it. Then my friends asked for it. Then their friends did.
Three problems.
One root.
Tone
Translators give you one option. In real life you don't write to your boss, your best friend and your partner the same way.
Gender
In Arabic "you wrote" is kataba to a man, katabti to a woman. In Russian "я сказал / я сказала". If the source hides gender, the machine simply guesses.
Learning
Courses teach formal language. Living language — nobody does. IELTS exists; there is no certificate for "street English".
All three come from the same cause: the machine doesn't know who is speaking.
Neither Google
nor DeepL
ever asks
this question
Is the speaker
a woman or a man?
Google Translate
men keldim
я пришёл
← always male
Lingo · speaker: female
men keldim
я пришла ✓
Speaker gender is a grammatical requirement in Arabic, Russian, Hebrew, Hindi, Spanish and French. DeepL has a formality switch — but no speaker gender.
No major translator asks who is speaking. We do.
Lingo asks three
questions before
it translates
Who is speaking?
→ gender · age · person or company
To whom?
→ manager · friend · client · someone you love
In what tone?
→ 12 styles · formality level
Not a plan —
it ships
- 01Web platform — lingo-translator.uz
- 02Telegram mini app
- 0326+ languages · 12 styles
- 04Speaker and recipient context
- 05File translation
- 06Poetry translation — rhyme and meter preserved
- 07Glossary · voice input · history
All of it built with zero outside funding.
No ads.
120
users
~1200
monthly visits
~100%
monthly return
$0
ad spend
People don't come every day — they come when the need appears. Yet within a month almost all of them come back. Every bit of growth is word of mouth.
Translation is
not the product.
It's the base.
Every translation reveals one thing: what this person could not say themselves.
Duolingo teaches abstract vocabulary. We teach the exact phrase you failed to say yesterday.
Nobody else holds this data — because for competitors translation and learning are separate products.
Translation is the entry point. Learning is the product.
Everyone teaches
IELTS.
Living language —
nobody.
People study English for ten years. They still can't follow a film, don't know chat abbreviations, and sound like a child when they write.
Slang moves fast. A textbook is reprinted every 3–4 years — outdated the day it ships.
Exams drive the curriculum. There is no certificate in "street language", so nobody teaches it.
Teachers learned academically. They read "wassup" in a book; they never used it.
Our system updates weekly. A publisher never can.
$60
bn+
global language learning market, annual
The problem
isn't local
The problem isn't local. Neither is the market.
Free translation
brings them in.
Learning keeps
them.
Free
limited daily translations, core styles
Pro
unlimited, 12 styles, files, poetry, history, learning module
B2B
dubbing and subtitle studios · team accounts · education institutions
Translation is not a recurring need. People come when they need it.
Learning is a daily need.
That's why the learning layer is what justifies a subscription.
Cost control: short requests go to a fast model, complex ones to a strong model. Repeated requests are cached.
Why they
won't do
this
fast, universal, no context
DeepL
high quality, partial formality, no gender
Duolingo
gamified, abstract words, no translation
Lingo
- ✓12 styles · tone selection
- ✓Speaker gender
- ✓Living / street language
- ✓Translation + learning together
- ✓Under-served languages first
They are universal. We are focused. A universal product fits nobody perfectly.
The next 18 months
0–6 mo
Learning module · personal vocabulary and flashcards · Telegram inline mode · shareable cards
→ 10,000 active users, Pro tier launched
6–12 mo
Mobile keyboard (iOS/Android) · browser extension · native-speaker quality review
→ First B2B pilot, stable MRR
12–18 mo
Voice translation · dubbing and subtitle track · fine-tuned open model
→ Expansion beyond the region
Team
Samar Saidov
CEO
Entrepreneur, traveller, founder
To'rabek Yo'ldoshev
CTO
Software engineer, founder
Majitov Zuxriddin
CMO
Marketer, brand builder
$50,000
incubation grant
40%
Product — learning module
30%
Keyboard and extension
20%
Quality review, slang database
10%
Infrastructure and AI
In 6 months: 10,000 active users · Pro tier launched · first B2B pilot
We're raising $50,000 to build the learning layer.
Translate enough,
and you won't need a translator.
Tarjima qilaverib, tarjimonga muhtoj bo'lmay qolasiz.
LINGO
lingo-translator.uz