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Project Title:
AI-Powered OSINT Audit System
Automated digital footprint analysis using AI. Generates privacy reports in 4 languages via Telegram or Email in under 30 seconds.
The Challenge:
Manual OSINT audits take hours of research across multiple platforms. Clients need fast, actionable insights about their digital privacy without technical expertise.
The Solution:
I built an end-to-end automated workflow that:
š¹ Collects user data through a multilingual web form (UA/RU/EN/PT)
š¹ Processes information using n8n automation
š¹ Leverages Groq API (Llama 3.3 70B) for AI-powered analysis
š¹ Delivers structured privacy reports via Telegram or Email (configurable)
Tech Stack:
š¹ Automation: n8n (workflow orchestration)
š¹ AI/LLM: Groq API with Llama 3.3 70B
š¹ Frontend: Custom HTML/CSS/JS form
Delivery: Telegram Bot API + Email integration
Hosting: Docker + VPS
Results:
ā
Full audit completed in 10-30 seconds
ā
Supports 4 languages with automatic detection
ā
Flexible delivery: Telegram (instant) or Email (detailed PDF)
ā
Zero manual intervention required
ā
Production-ready with error handling
What I Did:
Designed complete workflow architecture
Built multilingual frontend interface
Configured AI prompts for accurate OSINT analysis
Implemented dual delivery system (Telegram + Email)
Set up production deployment with Docker
Tags:
AI Automation, n8n, OSINT, Groq API, Workflow Automation, Cybersecurity, Telegram Bot, Email Integration, LLM
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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No oversized promises. No unnecessary visual noise.
Baseframe is a calm, structured Webflow template for consulting businesses that want to communicate clearly and look credible doing it.
A few details from the build:
ā¢ 3 homepage layouts
ā¢ Multiple About and Contact options
ā¢ CMS case studies and blog
ā¢ Services, pricing, and FAQ pages
ā¢ Subtle motion across the site
ā¢ Fully responsive development
Developed by me in Webflow.
Well done !
This is my second ... day (and week) on Contra, and I'm still trying to figure out what this platform is all about (or how to make it work for that matter).
My goal is to land my first client here. What should I do?
Great question man! I haven't still won my first job here but I'd say stay active and engaged with others in order to increase your discovery score and appear in the search for clients. Good luck!! š
Title: AI-Native Full-Stack Engineer for Private Portfolio Intelligence App
Iām building ThesisFrame, a private, single-user portfolio intelligence app. It is not a trading or signal product: it helps the user review what changed in a portfolio, connect evidence to an investment thesis, and clearly surface missing or stale data.
The existing project already includes:
TypeScript / Node.js intelligence service
PostgreSQL
React-based Wealthfolio add-on
Docker / Compose deployment setup
Written architecture and phased development plan
Iām looking for one strong, pragmatic full-stack engineer who uses AI tools productively but still ships tested, understandable, maintainable code.
Initial paid trial ā 8 to 12 hours:
Build a small read-only adapter from Wealthfolio portfolio snapshots into the Intelligence service.
Deliverables:
Clean TypeScript implementation
Fixture-based test data
At least one automated test
Clear README / run instructions
One focused GitHub pull request
No access to real portfolio data, credentials, or production infrastructure
If the trial goes well, this can become a part-time engagement of roughly 10ā20 hours per week, delivered through small milestones.
Required experience:
Strong TypeScript, Node.js and React
PostgreSQL schema design and migrations
REST/API integrations, rate limits, retries and error handling
Docker / Docker Compose
Automated testing and GitHub PR workflow
Comfortable reading an existing codebase and following a written architecture
Strong plus:
Financial-data APIs, data provenance, ETL/ingestion pipelines
Hono, Zod, React 19, scheduled jobs
Experience building with Cursor, Codex or Claude Code while retaining engineering discipline
Important constraints:
Every external data point needs source, timestamp and freshness information.
Missing or failed data must become an explicit āData Gapā, never a silent zero or āno changeā.
No automated trading, Buy/Sell/Hold advice, price targets or execution features.
All work must be committed to my GitHub repository. I retain full IP ownership.
Please do not apply if your approach is primarily unreviewed AI-generated code.
When applying, please send:
One relevant GitHub repo or PR you personally wrote.
A short explanation of how you would approach the paid trial.
Your hourly rate and weekly availability.
A brief example of a production bug you caught with a test.
Budget:
Please propose an hourly rate for a paid trial first. I value quality, communication and test discipline over the lowest price.