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ContentOS : Plan a Month of Social Content in One Focused Workflow
contentOS is a social media campaign planner built for small businesses that need consistent content but do not have the time or expertise to start from a blank page.
Users begin with a concise business brief covering their industry, audience, campaign goal, preferred platforms, brand tone and current offer. ContentOS turns that information into a structured campaign workspace where posts can be reviewed, edited, bookmarked and progressed from Planned to Created to Published.
Each post includes an idea, hook, caption, call to action, platform and recommended format. The dashboard summarizes campaign progress, while the calendar and saved-post views make the plan easy to manage.
ContentOS was built in Bubble using Campaign and Post data types, option sets, reusable navigation elements, responsive layouts and database workflows. The challenge prototype uses deterministic content workflows so its core demonstration can run reliably without external API credentials.
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Prepare AI — Career Readiness Platform
Prepare AI is a Bangladesh-focused career preparation platform that helps job seekers discover jobs, practice quizzes, track applications, and measure career readiness in one workspace.
Key features:
🔐 Sign up & personalized onboarding
📝 Timed career quizzes
💼 Job search, save & apply
📊 Application tracking
🎯 Career Readiness Score
🤖 AI interview, CV & career tools
Problem: Job seekers use multiple disconnected platforms for preparation and job hunting.
Solution: Prepare AI brings Discover → Practice → Apply → Track → Improve into one simple platform.
Built with: Responsive web UI, database-driven workflows, authentication, privacy controls, and AI-ready architecture.
#Bubble #BubbleAI #AI #CareerTech #EdTech #JobSearch #CareerPreparation #Bangladesh #SaaS #Productivity #WebApp #NoCode #CareerDevelopment #JobSeeker #CareerReadiness
excellent work.
wish you better luck
🚀 Introducing BrandOps — Your AI-Native Personal Brand Operating System
What if your AI didn’t just respond to prompts — but actually understood your professional identity, remembered your goals, learned from your achievements, and helped turn them into meaningful action?
That’s what I’ve been building with BrandOps.
BrandOps creates a persistent Digital Twin from your expertise, professional history, goals, preferences, projects, and verified activity — then transforms natural-language conversations into structured plans and executable workflows.
The operating loop:
Ask → Plan → Approve → Execute → Verify → Learn
🧠 Persistent Digital Twin
🤖 Specialized AI agents
🎯 Context-aware planning & next-best actions
✅ Human-in-the-loop approvals
⚡ Executable workflows
📈 Verified activity & continuous learning
🔌 Designed for interoperability with AI and developer ecosystems, including MCP
The goal is bigger than generating another piece of content.
BrandOps is an intelligent operating layer for your professional identity — one that understands what you know, what you've built, where you're going, and what actions can move you forward.
It's designed especially for AI builders, developers, founders, creators, and knowledge workers who are constantly building but need a better way to transform that work into visibility, positioning, and opportunities.
🌐 Try BrandOps:
https://brand-ops-navy.vercel.app/
💻 Explore the GitHub repository:
https://github.com/MISHHF93/BrandOps
👤 See BrandOps in my Contra portfolio:
https://on.contra.com/kMPGzj
I'm building toward a future where AI doesn't just know your latest prompt.
It knows your professional trajectory — and helps you act on it.
#BrandOps #ArtificialIntelligence #AIAgents #DigitalTwin #PersonalBranding #BuildInPublic #OpenSource #MCP #FutureOfWork
The Ask, Plan, Approve, Execute, Verify, Learn loop is what stands out to me here, most "AI does your branding" tools skip straight to execute. Curious how much people actually end up tweaking at the approve step versus just rubber-stamping what it plans.
Divviit - turning one of life's hardest processes into something fair, structured, and even a little human.
When someone passes away, dividing their belongings among family is often the part nobody talks about, and the part that causes the most quiet conflict. Divviit is an estate management platform built to fix that.
An executor sets up the estate, invites all the beneficiaries, and builds out a complete inventory, either item by item, or in bulk via CSV import, so it scales from a handful of belongings to hundreds. From there, everything lives on one dashboard: estate value, expenses, tasks, and live progress tracking through the entire process.
For any item, the executor triggers an AI evaluation that reads the item's details, searches comparable listings, and returns a fair market valuation automatically - no appraiser, no manual research, no guesswork. Photos attach right alongside it, building a fully verifiable record of the entire estate.
And then there's the part that makes Divviit genuinely different: a gamified bidding system for distributing assets.
Beneficiaries are allocated points, place real-time bids on the specific items they want, and can see exactly where they stand. Highest bid at close wins the item. Instead of an awkward negotiation or a fight over sentimental belongings, distribution becomes transparent, structured, and fair for everyone in the room.
Built entirely solo on Bubble, from authentication and role-based access (executor vs. beneficiary), to the AI valuation pipeline, to the full bidding engine with real-time point tracking.
Demo below. Would love your thoughts. 🫧
Dividing belongings after a loss is both a product and a trust problem. Turning a sensitive process into something structured and human is a meaningful example of software reducing conflict, not just reducing steps.