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NEXUSNEXUS

NEXUS / TRACK RECORD

The ecosystem is new.The experience behind it isn't.

Before NEXUS, the people behind it were already building technology products, analytics and automation systems, Web3 infrastructure and production solutions for real businesses.

01 / RECOGNITION

Engineering expertisetested in competition.

First-place results and Web3 engineering competitions make the team's practical depth visible without adding unverified claims.

01

1STPLACE

FunC plugin for popular IDE

TON ecosystem / TON / Developer Tools / FunC

First place in a TON contest for a developer tool for FunC.

02

1STPLACE

Crypto Bot Hackathon

Crypto Bot / Web3 / Telegram

The team's first-place result in the Crypto Bot Hackathon.

03

30THPLACE

TON Smart Challenge #2

TON / Smart Contracts

The team's result in TON Smart Challenge #2.

04

61STPLACE

TON Smart Challenge #1

TON / Smart Contracts

The team's result in TON Smart Challenge #1.

02 / SELECTED SYSTEMS

Real systems.Real constraints.Measurable tasks.

The emphasis is not on website screenshots, but on business constraints, data sources, processing layers and systems that can be used in real operations.

01

CTR / Marketplace Price Monitoring

Korean automotive parts manufacturer. / Data Intelligence / Sources: Wildberries, Ozon, Yandex Market

Business problem

CTR needed to monitor seller compliance with recommended retail prices across major Russian marketplaces.

What was built

The team built an automated system for seller price monitoring, product-position data collection and detecting deviations from recommended values.

Manufacturer -> hundreds of products -> multiple sellers -> multiple marketplaces -> automatic price control.

Capabilities

Marketplace monitoringPrice monitoringData collectionData normalizationAutomated processing
Related Solution: Data Intelligence
02

Land & Auction Intelligence

Data Intelligence / Analytics

Business problem

Automate auction information collection and use the resulting data for land-value analysis.

What was built

The system collected auction data automatically, structured object-level information and formed the basis for land-value analysis.

Data collection was the first layer of a broader analytics system, not a standalone auction parser.

Capabilities

Data CollectionAuction MonitoringData NormalizationLand AnalyticsAutomated Processing
Related Solution: Data Intelligence
03

Data Collection Infrastructure

Previous systems built by the team / Data Collection / Data Intelligence

What was built

Before NEXUS, the team built automated data collection and monitoring systems for marketplaces, tenders, catalogs and specialized sources.

Parsing is treated as accumulated Data Intelligence engineering: collection, normalization, regular updates and delivery into an analytics layer.

Capabilities

Marketplace monitoringTender collectionProduct availabilityPrice monitoringSpecialized web sourcesAutomated exportsData normalizationAPI / BI delivery
Related Solution: Data Intelligence
04

Marketplace Data Infrastructure

Data Collection / Analytics

What was built

Monitoring systems for Wildberries, Ozon and other marketplace sources with regular updates, processing and delivery into an analytics layer.

This record shows broader marketplace competence separately from the specific CTR case.

Capabilities

Wildberries monitoringOzon monitoringRegular updatesData processingAnalytics delivery
Related Solution: Data Intelligence

03 / SELECTED CLIENTS

Technology mattersonly insidereal business.

This block shows the business context where the team applied engineering work. The detailed technical view stays in Selected Systems.

01

CTR

Korean automotive parts manufacturer / Automotive / Data Intelligence

Marketplace price monitoring across Wildberries, Ozon and Yandex Market for a Korean automotive parts manufacturer.

04 / WEB3 ENGINEERING

From smart contractsto payment infrastructureand user-facing products.

Web3 is one of the deepest engineering competencies inside NEXUS. The experience includes Solidity, FunC, smart contracts, blockchain infrastructure, payment systems, user-facing Web3 products, TON and the Telegram ecosystem.

01

Smart Contracts

SolidityFunCSmart ContractsEVMTON
02

Infrastructure

On-chain / off-chain architectureBlockchain integrationsBackendIndexingAPIsWallet integration
03

Payments

Payment gatewaysCrypto payment flowsFiat / Crypto scenariosTransaction processingWallet flowsSettlement logic
04

Products

Telegram-native productsWeb3 consumer productsBlockchain marketplacesCrypto-enabled systems
01

Payment Infrastructure

Web3 / Fintech Engineering

Business problem

Connect Web3 transaction flows with traditional payment scenarios at the engineering infrastructure layer.

What was built

Engineering of payment gateways connecting Web3 transaction flows with traditional payment scenarios.

This describes engineering work on infrastructure, not activity as a bank, payment operator, exchange or financial institution.

Capabilities

Payment gatewaysCrypto payment flowsFiat / Crypto scenariosTransaction processingWallet flowsSettlement logic
02

TON Sites Search Engine

Earlier team project / Web3 / Search / TON

What was built

Search engine for TON Sites with a custom indexing layer.

An earlier engineering case showing depth in indexing, search and backend infrastructure around TON.

Capabilities

SearchIndexingTONElasticsearchBackend
03

Crypto CPC Network

Earlier team project / Web3 / Advertising / Payments

What was built

Advertising CPC network concept with cryptocurrency payments and TON Connect integration.

An earlier product experiment connecting advertising mechanics, Web3 payments and TON integrations.

Capabilities

TONFunCTON ConnectBackendPayments
04

Crypto Arbitrage Infrastructure

Earlier engineering case / Web3 / Market Data / Telegram

What was built

Telegram-based system for identifying arbitrage opportunities across multiple cryptocurrency exchanges.

An earlier engineering case around integrations, async processing and market data. It is not presented as financial advice or an active service.

Capabilities

Exchange integrationsAsync processingMarket dataTelegramBackend

05 / EARLIER DIGITAL PRODUCTS

Earlier productsbuilt end-to-end.

These records do not compete with B2B and Web3 proof, but they show the team's repeated experience moving from idea to working product.

01

AudioClassBook

Earlier product experience / Earlier Product / Education

Digital product for listening to educational materials in audio format.

Capabilities

Audio contentDigital productProduct development
02

AudioClassBot

Earlier product experience / Earlier Product / Telegram

Telegram product created from scratch for audio educational content.

Capabilities

Telegram productAudio contentEnd-to-end product
03

Antopia

Earlier product experience / Earlier Product / E-commerce

E-commerce platform for a niche consumer business.

Capabilities

E-commerceCatalogProduct development
04

Flueris

Earlier product experience / Earlier Product / E-commerce

Full-stack e-commerce system.

Capabilities

Full-stack developmentE-commerceOperations

06 / EXPERIENCE BEHIND NEXUS

Systems change.Engineering culture remains.

NEXUS is built on repeatable engineering practice rather than one isolated case: products, data, Web3, automation and technology leadership.

01

Full-stack engineering

02

Product development

03

Solidity & FunC

04

Web3 infrastructure

05

Data systems

06

Entrepreneurial product experience

07 / COMPOUND EXPERIENCE

Experience does not stayinside a finished project.

Every product, client system and engineering experiment extends the shared technology base of NEXUS. Data collection methods become Data Intelligence. Internal systems experience becomes Business Automation. Work with real sales teams becomes Customer Operations. Architecture and product experience feed Fractional CTO and partnership work.

01

Previous Experience

02

Reusable Knowledge

03

Shared Expertise

04

Solutions & Products

05

NEXUS Ecosystem

Have a challengewhere this experience can help?

We can start with a concrete system, a technology audit or a discussion around a new product.

Track Record — NEXUS