We're expanding the fulfillment team again heading into the back half of 2026. Deal flow's up, and we'd rather add killers than turn work away. Who we're prioritizing right now: >> Vibe / full-stack engineers. >> GHL engineers We build everything from field-service platforms to AI document systems to voice agents, so if you're elite at something adjacent, still apply. What matters to us: proof over pitches. Live links, real code, and a testing habit that means your builds work before they ship, not after the client finds the bug. What you get: steady, skill-matched projects, zero sales grind (we handle acquisition, onboarding, and client comms), mentorship alongside the team, and fair pay for quality work. Apply 👉 intakeform.tech/apply/hexona-dev-wave-10

We're scaling our fulfillment team to handle increasing deal flow after a wonderful 2025. Currently prioritizing: Vibe software engineers - You've shipped actual web apps, dashboards, or internal tools using AI coding assistants. Not landing pages. Production systems that businesses are using right now. GHL engineers - Beyond basic funnels. Custom objects, API integrations, workflow automation that actually works. We handle everything from field service management platforms to AI document systems to voice agents, so if you're a killer at anything else, still apply. When reaching out, include: - Links to live work in production - Your stack and what you're best at - Turnaround times and availability - Client results if you have them What you get: steady projects, no sales grind, fair pay for quality work.

Building a compliance-heavy document intelligence platform for a professional services firm. This is a real full-stack build, not a workflow or chatbot. What we're building: - Web-based platform with secure document upload, processing dashboard, and reporting - OCR pipeline for extracting data from financial documents (PDFs, scans) - Custom parsers for structured data extraction from financial statements - RAG system for natural language document interrogation ("chat with your documents") - LLM-powered categorization and analysis engine - Court-ready report generation (Excel/PDF) - Full audit trails and compliance layer Tech stack: - Frontend: Next.js, TypeScript, Tailwind - Backend: Python, FastAPI, Celery - AI/ML: LangChain, Azure OpenAI, Azure Document Intelligence - Vector DB: Pinecone or pgvector - Cloud: Azure (App Service, Blob Storage, PostgreSQL) - Auth: Azure AD Must-have experience: - RAG architecture (not just tutorials - production deployments) - Python backend with FastAPI - PDF parsing and text extraction (messy real-world documents) - Azure cloud services - Next.js frontend Nice to have: - Financial document processing - Compliance/audit logging systems - Professional services or legal-tech experience Compliance is a big concern for this project. Timeline: 4-5 months Budget: Fair rates for senior work. This is a real build with ongoing maintenance. When reaching out, include: - Examples of RAG systems you've deployed in production - Your experience with PDF/document processing - Tech stack you'd recommend and why - Your rate and availability Offshore devs welcome if you have strong English communication and can overlap with North American hours for syncs. DM or email ayman@hexonasystems.com Keep winning 🏆

Hi all—this workflow will change how clients see proposals 180°, and I know a lot of people here could use that boost. I spent some time working through it last week, and here’s a simple way I solved it using AI: 1. Use an AI tool (like ChatGPT or your preferred AI) to draft proposal content based on client info. 2. Export the draft into Google Slides for visually appealing presentations or PandaDocs for formal, trackable proposals. 3. Set up a simple workflow that auto-fills client data and generates a ready-to-send proposal in minutes. If anything is unclear, let me know. Hope this helps you 🙏

are people keeping licensing fees in their own name and leasing the system or setting licenses in clients name only