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Automated grid trading system with gap compensation and crash-resilient order management for US equities
Case Study2026

Automated grid trading system with gap compensation and crash-resilient order management for US equities

A fully automated grid trading bot for US equities. A market-maker-like system that places a ladder of limit bids below a configurable price ceiling, and for every filled bid, immediately posts a corresponding ask one interval higher. The key complexity was handling gap-up and gap-down market openings, where the price opens outside the active grid and requires intelligent compensation logic to resynchronise bids, asks, and position state. The system needed to be configurable, paper-trade first, survive crashes and reconnects via a persistent order database, and include kill-switch controls for live deployment safety.

Automated MEV extraction system on Ethereum and EVM-compatible blockchains
Case Study2026

Automated MEV extraction system on Ethereum and EVM-compatible blockchains

We set out to build an end-to-end MEV extraction system capable of identifying and executing profitable on-chain opportunities, primarily DEX arbitrage, loan liquidations, and NFT sniping, across Ethereum and other EVM-compatible chains. The system combined off-chain opportunity detection logic with on-chain smart contract execution, using private transaction relays (Flashbots) to avoid frontrunning and eliminate failed-transaction gas costs. Over several months of active research and development, the project surfaced critical real-world constraints around latency, liquidity, and competitive saturation that shaped a clear strategic conclusion.

Building a permissionless live streaming platform with real-time on-chain payments
Case Study2026

Building a permissionless live streaming platform with real-time on-chain payments

ThreeToN (3toN) is a permissionless video streaming platform that combines real-time streaming payments with NFT-based access control entirely on-chain. The core smart contract,ThreeToN.sol, orchestrates two DeFi protocols in tandem: Superfluid Finance for per-second token streams via the Constant Flow Agreement (CFA), and Unlock Protocol for NFT membership keys. When a viewer callsjoin(), the contract simultaneously opens a Superfluid payment flow from the viewer to the streamer and issues an Unlock Protocol NFT access key. CallingleaveStream()closes both atomically. Any wallet can start a stream with a custom rate, token, participant cap, and expiry, no platform approval or off-chain coordination required. The contract is deployed on Polygon, Optimism, and Goerli.

AI-Powered Scalable Multi-Chain Token Rewards & Claim Verification Infrastructure
Case Study2026

AI-Powered Scalable Multi-Chain Token Rewards & Claim Verification Infrastructure

The project was designed to help blockchain projects distribute tokens, rewards, and promotional incentives through a secure and verifiable claim process. Instead of relying on manual verification or vulnerable claim forms, the platform introduced automated ownership verification, wallet validation, and campaign management capabilities to ensure that rewards reached legitimate recipients. The solution supports multiple claim campaigns, wallet verification workflows, token eligibility checks, and user notifications while providing a streamlined experience for both campaign operators and participants.

Knowsletter: AI-powered personalized newsletter generator
Case Study2026

Knowsletter: AI-powered personalized newsletter generator

KnowsLetter is an AI-powered platform designed to simplify how people consume and learn from information through newsletters. Instead of manually searching for articles, subscribing to multiple sources, or spending time filtering through large volumes of content, users can simply enter a topic they want to learn about. The system researches the topic, curates relevant insights from credible sources, and generates a structured newsletter that is delivered directly to the user’s inbox. The goal of the project was to create a tool that transforms newsletters from a passive subscription model into an intent-driven learning experience, where users actively choose what knowledge they want to receive and when. By automating research, summarization, and delivery, KnowsLetter enables consistent learning while reducing information overload.

Building an automated market-making strategy with real-time execution and risk management
Case Study2026

Building an automated market-making strategy with real-time execution and risk management

The project focused on developing an automated trading platform capable of executing a market-making style strategy across selected equity markets. The system continuously places buy orders at predefined intervals below a target price and automatically creates corresponding sell orders when positions are filled. The platform was designed to eliminate manual trade execution, maintain consistent strategy adherence, and provide traders with configurable controls for position sizing, interval management, stock selection, and execution parameters. The initial implementation prioritized paper trading, broker integration, trade monitoring, and resilient recovery mechanisms before transitioning to live execution.

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