OF EXECUTION
CASE
STUDIES.
CHATLIO
Chatlio is an AI-powered communication platform designed to help businesses centralize conversations, automate support workflows, and improve customer engagement. Built on Matrix infrastructure, Chatlio provides organizations with complete ownership of communication data while enabling intelligent automation across customer interactions.
“Most businesses rely on fragmented communication channels. This creates:”
Slow response times
Lost customer conversations
Poor collaboration
Lack of automation
Limited data ownership
Dotslashlab designed and developed Chatlio as a modern communication layer powered by AI and Matrix infrastructure. Key capabilities include:
Real-time messaging
Team collaboration
AI-powered assistance
Customer support workflows
Lead qualification systems
Scalable communication architecture
Centralized communication management
Reduced manual support effort
Improved team collaboration
Enhanced customer engagement
BOARDLYX
BoardlyX is an AI-powered team productivity platform that unifies Kanban project management, real-time team chat, and analytics into a single workspace, with Web3 wallet authentication and on-chain task verification. It is built for modern, distributed teams that want collaboration, accountability, and a tamper-proof record of completed work.
“Distributed teams stitch together separate tools to get work done, and lose accountability in the gaps:”
Work scattered across boards, chat & docs
No verifiable record of completed work
Fragmented, slow team communication
Limited visibility into productivity
Notifications buried across apps
Dotslashlab designed and built BoardlyX as a single real-time workspace that combines project management, collaboration, and on-chain proof of work:
Drag-and-drop Kanban boards
Teams with email invites & shared workspaces
Real-time group chat & DMs with media sharing
Analytics dashboards & productivity insights
On-chain task logging via smart contract
Wallet authentication with RainbowKit
AI assistance powered by Google Gemini
Telegram bot notifications
Unified work, chat & analytics in one workspace
Tamper-proof on-chain task records
Real-time team collaboration
AI-assisted, wallet-native experience
EASYHYR
EasyHyr is an AI-powered job-matching and application-optimization platform. It continuously ingests live job listings, matches them to a candidate's experience using semantic vector search, and uses LLMs to tailor resumes, surface skill gaps, and validate ATS compatibility, turning a slow, manual job hunt into an automated, data-driven pipeline.
“Job seeking is repetitive, opaque, and hard to optimize:”
Manually searching across multiple job boards
Guessing which roles actually fit
Re-tailoring a resume for every application
No visibility into why ATS systems reject
Identifying missing skills & keywords
Dotslashlab engineered EasyHyr as an end-to-end matching and optimization pipeline:
Automated job scraping (LinkedIn, Naukri, Indeed)
Semantic matching via vector embeddings
Persona-based resume ranking
AI gap analysis for missing skills & keywords
LLM-powered LaTeX resume rewrites
ATS scoring & validation before applying
Live LaTeX resume editor in-browser
Automated job discovery & matching
Higher-relevance role recommendations
Faster, tailored applications
Improved ATS pass-through
Data-driven resume optimization
YAP.MARKET
Yap.market is a growth-focused platform designed around referral mechanics, community engagement, and user acquisition systems. The platform combines automation, incentives, and engagement loops to drive sustainable growth.
“Early-stage products struggle with:”
User acquisition
Retention
Community growth
Referral tracking
Dotslashlab developed a scalable platform featuring:
Referral systems
Growth loops
Community incentives
Automated tracking
Analytics infrastructure
Successfully scaled user acquisition
Created measurable referral loops
Improved retention mechanics
Enabled growth experimentation
XADE FINANCE
Trade.Xade.Finance is a modern trading platform combining AI agents, trading infrastructure, and cross-market accessibility. The platform enables users to interact with financial markets through intelligent workflows and automated execution systems.
“Modern traders face:”
Fragmented trading tools
Complex interfaces
Cross-platform limitations
Limited automation capabilities
Dotslashlab contributed to building:
Trading dashboards
User experience workflows
Real-time interfaces
Trading infrastructure components
AI-enabled interactions
Improved trading accessibility
Enhanced platform usability
Streamlined user workflows
GITCODE V3
GitCode V3 is a developer-focused platform designed to improve collaboration, productivity, and project management for engineering teams.
“Developers often struggle with fragmented workflows across multiple platforms.”
The platform introduced:
Unified collaboration
Project management workflows
Developer-centric tooling
Scalable architecture
Improved developer workflows
Streamlined collaboration
Faster project organization
ASTRA FINANCE
Astra Finance represents secure and scalable DeFi infrastructure focused on user experience and protocol reliability.
“DeFi products often struggle with usability and security simultaneously.”
Dotslashlab contributed to:
Frontend architecture
Protocol integrations
UX improvements
Scalability enhancements
Enhanced user experience
Improved protocol accessibility
Secure infrastructure deployment
ECHO AI
Echo AI is an enterprise-focused automation and workflow orchestration platform leveraging large language models.
“Organizations needed AI systems that integrate with existing workflows.”
Dotslashlab developed:
AI orchestration systems
Workflow automation
Specialized LLM integrations
Enterprise-ready architecture
Operational efficiency improvements
Reduced repetitive work
Faster decision support
PP EDITOR
PP Editor is an AI-powered content production platform designed to simplify video editing workflows.
“Content teams spend significant time editing and preparing media.”
The platform provides:
AI editing assistance
Automated caption generation
Workflow automation
Faster publishing pipelines
Faster content production
Reduced manual editing effort
Improved publishing efficiency