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opportunity
Flutter App Fix + Admin Panel
**Job Title:** Flutter / App Developer Needed for Louis Dating App – App Audit, Apple IAP Setup & Admin Panel We are looking for an experienced Flutter / mobile app developer to help us fix and complete our dating app, Louis Dating. The app already exists, but the previous developer, **Subhojit A.**, did not complete the work properly, failed to hand over the GitHub/source code correctly, and removed/deleted the existing admin panel. As a result, we now need a reliable developer who can review the full app, identify what is working and what is missing, and help us bring the project to a professional and stable standard. **Main tasks:** 1. **Full app review and technical audit** * Check the current app carefully. * Test all main functions and user flows. * Identify bugs, missing features, broken screens, and technical issues. * Confirm whether the app is properly connected to the backend/API. * Check what can be recovered and what needs to be rebuilt. 2. **Apple App Store payment setup** * Set up in-app payments/subscriptions through Apple In-App Purchase. * Make sure the payment flow works correctly inside the app. * Help with App Store Connect setup if needed. * Ensure the app follows Apple’s payment and subscription requirements. 3. **Build a proper admin panel** We need a clean and functional admin dashboard where we can manage the app properly. The admin panel should allow us to: * Add new user profiles to the app. * Edit existing profiles. * Upload profile photos and profile information. * Manage users. * Approve, remove, or update profiles. * See basic app activity and user data. * Control important app content from one place. 4. **GitHub / code / proper handover** * We need proper access to the full source code. * The project must be uploaded and organized in GitHub. * We need a clean handover so we are never locked out of our own app again. * Documentation is required for the main setup, backend, admin panel, payments, and deployment. **Important:** We are not looking for someone who only gives promises. We need someone serious, honest, and experienced who can first audit the current app and clearly tell us what needs to be fixed. Please apply only if you have experience with: * Flutter apps * Dating or social apps * Apple In-App Purchases * Admin panel development * Backend/API integration * GitHub and proper project handover When applying, please explain: 1. Your experience with Flutter apps. 2. Whether you have set up Apple In-App Purchases before. 3. What kind of admin panels you have built before. 4. How you would approach the first audit of our app. 5. Estimated timeline and cost for the first review/audit phase. We want to start with a technical audit first. If the audit is handled professionally, we can continue with the fixes, Apple payment setup, and full admin panel development.
opportunity
AI-Powered Deal Origination & Opportunity Intelligence Platform
Overview Build an MVP AI-powered deal origination and opportunity intelligence platform to identify UK private company acquisition, succession, refinancing and distressed opportunities. The platform should analyse public company data, identify high-probability opportunities, enrich decision-maker information, generate AI reports and support targeted outreach. This is an MVP validation project requiring a fast, practical build with scalable foundations, not an enterprise solution. Core Objectives The platform must: • Collect company/director data • Analyse and score opportunities • Identify decision makers • Enrich contacts • Generate AI intelligence reports • Create outreach recommendations • Store opportunities in CRM • Maintain continuously updated pipelines Data Sources Required: • Companies House API • Gazette Insolvency Feed • Company websites • Public web research Preferred: • LinkedIn enrichment • Contact providers • News feeds • Business directories Future: Planning data, Land Registry/property ownership, email automation, workflows, dashboards, additional providers and AI agents. Functional Requirements 1. Company Intelligence Engine Retrieve, store and update: • Company name, number, address and SIC codes • Filing history, accounts and charges/mortgages • Directors and shareholders where available • Insolvency notices and Gazette events • Website and content summaries Maintain structured profiles for each company. 2. Opportunity Scoring Engine Core IP component. Must be configurable, AI-independent and adjustable without code changes. Required: • Weighted and rule-based scoring • Score explanations • Confidence ratings Scores: Acquisition: revenue, EBITDA/profitability, growth, recurring income, sector attractiveness, leverage. Succession: director age, ownership length, ownership concentration, management depth, succession indicators. Refinancing: lender charges, debt profile, leverage, property ownership, maturity indicators. Distress: insolvency notices, winding-up petitions, director resignations, overdue filings, negative trends. Probability of Sale: founder age, ownership duration, succession indicators, growth plateau, market conditions. Example: Sale Score: 86/100 Reasons: • Founder age estimated 67 • Sole shareholder • 24 years ownership • Stable profitability • No succession structure identified AI explains scores; scoring remains framework-driven. 3. Contact Enrichment Identify/store: • Founder, CEO, Managing Director, shareholders • Email, telephone, website, LinkedIn • Decision-maker information Supports future outreach and relationship development. 4. AI Intelligence Briefs Generate for high-ranking opportunities: Company Summary: Business description, financial overview, strengths. Opportunity Summary: Selection rationale, engagement potential, strategic rationale. Engagement Angle: Succession planning, growth capital, partnership, acquisition or refinancing 5. CRM MVP CRM must support: • Opportunity storage • Search/filtering • Notes and comments • Status tracking • Outreach tracking • Score history Workflow: Identified → Qualified → Contacted → Conversation Started → Active → Mandated → Closed 6. Outreach Intelligence Generate/store: • Personalised emails • LinkedIn messages • Telephone briefs No automated sending required AI Architecture Use model-agnostic architecture that remains operational if providers change Support: OpenAI, Anthropic Claude, Google Gemini, Meta Llama, DeepSeek, Qwen and future providers Admin controls: • Select AI provider • Change providers without code changes • Configure API keys • Add models Scoring must remain independent of AI Technology Backend: Python, FastAPI Database: PostgreSQL, Supabase Frontend: React, Next.js Infrastructure: AWS, Vercel, Supabase AI: Provider-agnostic APIs with future agent support Scalability Support future: • Multi-agent workflows • AI orchestration/MCP • Additional APIs • Email and workflow automation • Large-scale analysis • Advanced reporting Future integrations: CRM systems, enrichment providers, email systems, Land Registry, planning/property/commercial intelligence sources Dashboard Provide a simple user-friendly dashboard for non-technical sales/outreach users with navigation, opportunity views, filtering, pipeline management and AI insight access Deliverables • Working MVP • Source code • Deployment instructions • Technical documentation • Configurable scoring engine • CRM • Company intelligence engine • Contact enrichment • AI opportunity reports • Outreach generation • User administration • Large-scale UK company analysis capability Proposal Requirements Include: • Relevant examples • Architecture • Technology stack • Cost estimate • Delivery timeframe • Support options • MVP improvements Budget Open to proposals. Preference for developers experienced in AI intelligence platforms, CRM systems, API integrations and scalable MVP delivery rather than enterprise builds
