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Full Stack Dev for Lead Aggregation Dashboard

  • Posted:
  • Proposals: 23
  • Remote
  • #4494670
  • Open for Proposals
Yasir Ali M.Khalid H.Awais A.Syed Haider A.Ambrose N. + 18 others have already sent a proposal.
  • 0

Description

Experience Level: Entry
We are looking for a full stack developer to help build an MVP web application focused on lead aggregation and opportunity management.

The platform will collect and organize public job/service opportunities from platforms such as Craigslist, Workana, PeoplePerHour, Hubstaff Talent, Guru and similar websites into one dashboard.

Main Features
• Multi platform lead aggregation
• Custom keyword searches
• Filters and search tools
• CRM style lead management
• Save/archive opportunities
• Status tracking system
• Admin dashboard
• Clean modern UI

Preferred Stack
Frontend:
• Next.js
• React
• TailwindCSS
Backend:
• Node.js / Express.js
• MongoDB or PostgreSQL
Experience With:
• Web scraping / automation
• APIs
• Puppeteer or Playwright
• Dashboard systems
• Authentication systems
The goal is to build a practical internal MVP first with clean architecture for future expansion.

Future phases may include:
• Email outreach integration
• AI assisted lead scoring
• Notifications
• Team accounts
• Analytics

Please include:
• Relevant past work
• Estimated timeline
• Suggested tech stack
• Your experience with automation or scraping systems

Long term work possible for the right developer.

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Clarification Board Ask a Question

  • Sudhanshu K.

    Hi, thanks for the detailed brief. To scope the MVP correctly, could you clarify: which platforms are the highest priority for the first phase, whether you want the aggregation handled through official APIs where available or browser automation/scraping, and if this internal MVP is intended for a single user initially or should the architecture support multiple users/roles from the start?

  • Shobi K.

    Before moving forward, I would like to ask a few important questions:

    * Do you want real-time scraping, scheduled background scraping, or both?
    * Will all scraped opportunities remain private/internal, or will some data be visible publicly later?
    * Which platforms are highest priority for the first MVP phase?