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My full data & AI-automation portfolio in one page — validated pipelines with a built-in verification layer: document→structured (CSV/JSON), grounded RAG document Q&A (citations, no hallucination), analytics automation, honest ML prediction, retail data mining, field-photo inspection reports, and a live sports-data web app. Live demos + open GitHub code: jigonyoo.vercel.app
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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BG Remover is a high-precision, production-ready AI background removal studio and bulk editing suite built with Next.js 16, React 19, TypeScript, and Tailwind CSS.
Unlike traditional cloud-based background removers that mandate subscriptions, inject watermarks, or upload user photos to remote servers, BG Remover runs 100% locally in your web browser via WebAssembly (WASM).
It delivers sub-second (~85ms average) AI subject isolation, 4K HD transparent PNG exports, SVG vector outline traces, and a full-featured studio editor — completely free and 100% private.
LIVE:- https://bg-remover-one-blush.vercel.app/
Doing the removal in the browser with no uploads is a solid selling point. How fast is it on large files?
Where do you think AI agents can make the biggest impact in a real business? 🤖
I'm exploring AI agents and automation through projects with n8n, Python, RAG and APIs.
I'm curious to hear from other builders and founders:
What would you automate first if you could remove one repetitive task from your business?
Lead management? Customer support? Internal operations? Something else?
Would love to hear your ideas 👇
#AIAgents #AIAutomation #n8n #AI #Automation
I saw how linking n8n to a CRM can pull new leads straight into a queue, wiping out the copy paste step.
What if every new lead could be handled before you even open your inbox? ⚡
This AI-powered workflow turns a new email inquiry into a structured, ready-to-handle lead — automatically.
A new inquiry arrives → AI extracts the important details → Airtable/CRM is updated → the response goes through optional human approval → a personalized email is sent → Notion is updated → the team gets notified in Slack → performance data is collected for reporting.
The goal isn't to remove people from the process. It's to remove the repetitive work around them.
This type of workflow can be customized for B2B companies, SaaS businesses, agencies, real estate, e-commerce, recruitment, consulting, customer support, healthcare, finance, education, and other service businesses.
Already know what you want to automate? → Send me your current workflow and I’ll map out how we can automate it.
Still doing repetitive work manually? → Tell me the task that consumes your team’s time, and I’ll help identify what can be automated.
#AIAutomation #AIWorkflow #AIWorkflows #AIAgents #Automation #WorkflowAutomation #BusinessAutomation #ProcessAutomation #n8n #n8nAutomation #ArtificialIntelligence #GenerativeAI #B2B #B2BAutomation #SaaS #SaaSAutomation #SalesAutomation #LeadGeneration #LeadAutomation #LeadManagement #EmailAutomation #CRMAutomation #CustomerSupport #CustomerServiceAutomation #MarketingAutomation #AgencyAutomation #RealEstateAutomation #EcommerceAutomation #RecruitmentAutomation #HRautomation #FinTech #HealthcareAutomation #EdTech #BusinessGrowth #BusinessEfficiency #DigitalTransformation #NoCode #LowCode #OpenAI #AIAgent #CRM #Airtable #Notion #Slack #Productivity #FutureOfWork
I'd use the human approval step to capture corrections, not just a yes/no decision. If a reviewer changes the extracted lead details, does the workflow update Airtable and the reporting record before sending the email?