AI-Driven News & Social App

@Microlent

Hi, This is exactly the kind of AI-first product I enjoy building. The flow is clear and practical, which makes an MVP achievable within your target timeline. 1. Have you built and shipped an Expo React Native app before? Yes, including apps published to TestFlight and Play Store. 2. Have you used Supabase Auth, Storage, Edge Functions, and RLS? Yes, extensively for authentication, file storage, secure APIs, and user-level access control. 3. How would you extract portfolio holdings from screenshots? Using AI Vision/OCR (OpenAI or Gemini Vision) through secure backend functions. 4. How would you handle OCR mistakes? Every extraction goes through a confirmation/edit screen before saving. 5. How would you structure the database? Profiles, portfolio uploads, holdings, interests, watchlists, feed cards, saved cards, feedback, and feed history with proper RLS policies. 6. Can all code and backend ownership remain under my accounts? Absolutely. GitHub, Supabase, and Expo projects will remain under your ownership. 7. Can you provide daily builds or progress updates? Yes, daily updates, commits, and test builds. 8. Can you complete a usable MVP in 10–14 days? Yes, provided designs and content decisions are finalized quickly. I'd love to discuss the OCR workflow and personalized feed logic further. I already have a few ideas to improve extraction accuracy and feed relevance for both Indian and US markets. Rajesh

@point2solutions

Hi, I have experience with Expo React Native, Supabase, AI integrations, and OCR-based applications. I would build the MVP with Expo + TypeScript and Supabase, using AI/OCR to extract portfolio data from screenshots with a user confirmation step to handle inaccuracies. The feed would be generated through AI based on portfolio holdings and user interests, with secure RLS policies and all code and infrastructure remaining under your accounts. I can provide daily progress updates, commit all code to your GitHub repository, and deliver a usable MVP within the 10–14-day timeline. Can we discuss the project in more detail?

@devsrank

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on Mobile App Development, OCR, UI / User Interface, Typescript, iOS Development, React Native, API Integration, User Experience Research, AI Development, Expo Please come over chat and discuss your requirement in a detailed way. Regards

@pinkeegupta

Hi, I read the complete brief and the most important part of this MVP is not the UI—it’s building a reliable flow from portfolio screenshots → verified holdings → personalized intelligence feed. 1. Have you shipped Expo React Native apps before? * Yes. 2. Have you used Supabase Auth, Storage, Edge Functions, and RLS? * Yes, extensively. 3. How would you extract holdings? * Vision AI + normalization + confirmation workflow. 4. How would you handle OCR mistakes? * Confidence scoring + company normalization + mandatory user review. 5. How would you structure the database? * User-centric schema with strict RLS and AI processing tables. 6. Can ownership remain under my accounts? * Absolutely. 7. Daily updates? * Yes. Daily GitHub commits and progress reports. 8. Can you deliver MVP in 10–14 days? * Yes. The scope is realistic for a focused MVP. Estimated Timeline: 12–14 Days Budget: ₹90,000 I’d be happy to share a detailed screen flow, database schema, and feed-generation architecture before project award.

@Jennycreation

With over 17+ years of valuable industry experience, my team and I have the necessary skills to transform your vision into a reality. Not only are we experts in Python Scraping and Automation Development, but we're also well-versed in the world of finance and AI, making us the perfect fit for this project. Our stock trading and cryptocurrency knowledge lend themselves naturally to your needs. Trust me; this is not "just another" project - this is your Founder's Pulse, and I will ensure it yields impactful results. We are well-conversant with the major tools like Expo React Native, TypeScript, OpenAI, as well as Supabase which you require. Supabase's features align perfectly with your non-negotiable requirements: GitHub repository ownership by you, no hidden backend/private database, and easy transition to future technologies like Cursor/Codex/Claude. Our work ethic aligns precisely with your process of keeping everything open and transparent, complying happily with the demand of all code committed to your GitHub repository instead of ours. Lastly but importantly, we understand your user requirements at a deep level - real-time market intelligence that adds value to their investments. We understand that Indian markets have unique demands and needs. Our inclusion of popular Indian companies like Reliance and Tata Motors is just one example of how we ensure holistic coverage.

@TechizeBuilder

Hi! I reviewed "AI-Driven News & Social App" and I'm confident we can build exactly what you need. We have deep experience in mobile app development for Android and iOS—native and cross-platform—using Mobile App Development, iOS Development, React Native. Our apps are fast, intuitive and beautifully designed, with smooth performance and secure backends. From concept to App Store launch, we handle it all. Let's connect to discuss your idea and roadmap. Thanks!

@iimtpradeepdash

OCR flow: user uploads portfolio screenshot, which a Supabase Edge Function sends to Gemini or OpenAI Vision for OCR via your API key. Parsed holdings (company, ticker, etc.) saved in a temp table with confidence scores—user confirms/edits before commit to portfolio_holdings. I never expose API keys in client; all sensitive calls stay in Edge Functions. Supabase handles Auth, RLS, Postgres, Storage—documented, with all code in your GitHub, all infra under your accounts. Feed: API ingests holdings/interests and sends to OpenAI/Anthropic to generate daily intelligence cards; supports India/US equities (names, not just tickers). Your data, your Supabase, no hidden backend. I’ve built/maintain Expo RN apps (e.g. Wish, GitaPath), deployed to TestFlight, worked with Supabase RLS and mobile AI/OCR before. Every build/test goes to your TestFlight and GitHub. The timeline works if requirements stay tight and you give quick feedback. Ready to map the exact OCR confirmation UI. Pradeep

@RajAbhisek

Hi — the screenshot → OCR → confirm/edit → Intelligence Profile → personalized feed flow is exactly the MVP I enjoy building, and I like that you want it all under your own GitHub/Supabase with no lock-in. At Apie Technologies (8+ yrs) we've shipped Expo React Native apps end-to-end, including a fintech app with screenshot OCR and an AI-summarised personalized card feed. We use Supabase Auth + Postgres + Storage with strict RLS so each user only sees their own holdings, and keep AI/OCR keys server-side in Edge Functions. For extraction I'd run screenshots through a vision model (GPT-4o/Gemini), normalize tickers across Indian + US names, and always show a confirm/edit step with a confidence score before saving. Feed cards generate per profile with a real "why this matters to you" rationale. Quick one: which brokers should V1 OCR prioritize — Zerodha, Groww, Robinhood? Ping me and we'll map the schema.

@mubeenm5026

With a dedication to AI and a deep background in mobile app development, my team at Web Crest is uniquely positioned to bring your Founder's Pulse to life. Our expertise combines not only with the requisite technical skills- Expo React Native, Supabase, TypeScript, and OCR/AI for example- but with a business-focused approach that emphasizes usability and effectiveness. We understand how crucial your end product is to you and your users’ investing and business intelligence journey. As such, we will design a seamless user flow that begins with uploading screenshots, moves through extracting portfolio data (with an additional confirmation step), selecting interests, companies, sectors as well as ends in generating personalized news/insight cards based on their holdings and interests. In Indian market support, we'll ensure your Indian & US stocks and companies' pool is easily accessible by name or ticker. Moreover, we’ll follow international best practices - No hidden backend, no private database,No vendor lock-in et al.- enrolling you totally in all decisions so that you have full control of the project. And user-centricity? We understand how important personalization is in a feeds-based app & hence know exactly how to create the feed card structure. Massaging time-sensitive information into easy-to-consume bites.

@KavyaTechNepal

Namaste, I’d love to help bring your project from concept to a production-ready solution. With strong experience in web applications, mobile apps, SaaS platforms, APIs, cloud deployment, AI/ML integrations, and scalable software architecture, I can deliver a reliable, maintainable, and user-friendly product tailored to your requirements. What I Can Deliver: . Clean and scalable architecture . Responsive web and mobile experiences . Secure APIs and database design . Third-party integrations and automation . Performance optimization and testing . Deployment, documentation, and support I focus on quality code, clear communication, and on-time delivery. I would be happy to discuss your requirements and propose the best approach for successful implementation. Best regards, Amit G. Kavya Tech Nepal

@jaroslavcaprata

Hi, there. Hope you are doing well. I carefully reviewed Founder’s Pulse and understand the complete flow from portfolio screenshot upload to AI-generated personalized intelligence feeds. I have experience with Expo React Native, Supabase, OCR pipelines, and AI integrations. For the OCR flow, I would upload screenshots to Supabase Storage, process them through an AI/OCR layer to extract holdings, normalize company names and tickers, assign confidence scores, and present a confirmation screen so users can correct any inaccuracies before saving. Supabase would handle Auth, Postgres, Storage, Edge Functions, and RLS policies, ensuring users can access only their own data. The intelligence engine would combine portfolio holdings, interests, watchlists, and feedback signals to generate personalized feed cards with summaries, relevance explanations, impact scores, and source links. All API keys would remain secured in Edge Functions, with no vendor lock-in and full ownership under your GitHub, Supabase, and Expo accounts. The architecture will be clean, documented, and optimized for future development in Cursor, Claude, or Codex. I can provide frequent progress updates, maintain a GitHub-first workflow, and deliver a polished, mobile-first MVP ready for TestFlight and App Store submission. Thanks.

@vijaydogra03

Hi, Your project aligns perfectly with my experience in Expo React Native, Supabase, AI integrations, and OCR-based workflows. Answers to Your Questions 1. Have you built and shipped Expo React Native apps? ✅ Yes, including authentication, AI integrations, cloud backends, and App Store/TestFlight deployments. 2. Have you used Supabase Auth, Storage, Edge Functions, and RLS? ✅ Yes. I regularly use Supabase Auth, Postgres, Storage, Edge Functions, and Row-Level Security for secure applications. 3. How would you extract portfolio holdings from screenshots? Upload screenshots to Supabase Storage Use OCR + AI (OpenAI/Gemini/Claude) to extract holdings 4. How would you handle OCR mistakes? Never auto-save extracted data Show a confirmation/edit screen Allow users to modify holdings before saving 5. How would you structure the database? Using the tables you've outlined: 6. Can all code and backend ownership remain under my accounts? ✅ Absolutely. GitHub, Supabase, Expo, and all infrastructure will remain under your ownership. 7. Can you provide daily updates? ✅ Yes. Daily commits, progress reports, screenshots, and test builds. 8. Can you complete a usable MVP in 10–14 days? ✅ Yes. I can deliver the screenshot upload → AI extraction → intelligence profile → personalized feed MVP within the proposed timeline. I’d love to discuss the feed generation logic and OCR pipeline in more detail and get started immediately. Best Regards, Vijay

@guptakishan805

Having worked as a full-stack developer for over 5 years, I have a vast array of expertise that makes me uniquely equipped to handle the nuanced and complex requirements of your Founder's Pulse project. My proficiency in React Native, TypeScript, and other relevant technologies aligns perfectly with your vision for an AI-powered personalized investing and business intelligence feed app. Moreover, my experience with OCR technology and building Supabase-backed applications further amplifies my suitability to deliver the project you've outlined. What sets Founder's Pulse apart from generic news and social apps is its ability to leverage artificial intelligence to create a tailored experience for each user. This requires a deep understanding of not just the technology but crucially, the real-life needs of investors and business-minded users like yourself. My prior work on SaaS platforms, CRM/ERP systems, and AI integrations have familiarized me well with this domain, making me adept at turning ideas into reliable digital products that serve specific business purposes. I am more than comfortable working within your preferred stack – your Expo React Native account, Supabase under your ownership – all of these enhance the idea of a scalable product without vendor lock-in which you value highly. Let's get started!

@gauravl3

Hi, I've built Expo React Native apps with Supabase, AI integrations, EAS, and TestFlight deployment. **How I'd build Founder's Pulse:** **OCR Flow** * Upload screenshots to Supabase Storage. * Edge Function sends images to GPT-4o Vision/Gemini. * Extract holdings (company, ticker, qty, avg price, value, P&L, confidence). * Normalize against NSE/BSE/US company database. **Handling OCR Mistakes** No auto-save. Every extracted holding is editable, confidence-scored, and user-confirmed. Users can add/remove holdings manually. **Supabase Backend** Auth, Storage, Postgres, Edge Functions, and RLS. Core tables: profiles, portfolio_uploads, portfolio_holdings, user_interests, watchlists, intelligence_cards, saved_cards, feedback, feed_runs, raw_articles. **AI Feed** Build an Intelligence Profile from holdings, interests, sectors, countries, and watchlists. Generate personalized cards with headline, summary, "Why this matters to you", impact score, time horizon, and source links. Feedback (More/Less) improves relevance. **Answers** ✅ Built and shipped Expo apps ✅ Extensive Supabase Auth, Storage, Edge Functions & RLS experience ✅ All code, GitHub, Supabase, and Expo remain under your accounts ✅ Daily updates, commits, and test builds ✅ Can deliver a usable MVP in 10–14 days Your workflow (Screenshot → AI Extraction → Confirmation → Intelligence Profile → Personalized Feed) is clear and achievable within the proposed budget and timeline.

@ammarahmed20

With Founder's Pulse, I'll leverage my 6+ years of experience in AI development, mobile app building (including React Native and Flutter) and extensive knowledge of APIs to create an impressive AI-driven News & Social app for you. I understand the inception and true nature of your project—it's not just about consuming information, but about personalization and turning raw data into actionable insights. I will ensure your users can upload their portfolio screenshots seamlessly on the app, extracting all key details using OCR/AI technology like OpenAI while also including a confirmation step for improved accuracy. The generated intelligence profile will match user interests, companies they follow, sectors, countries and topics they're interested in resulting in a highly personalized daily feed of market intelligence with intricate details like source time/headline/related companies. Engage me for Founder's Pulse and you'll get a true partner who not only understands and appreciates the uniqueness of your vision but is also equipped to bring it to life meticulously!

@mahads31

Having carefully reviewed your project requirements, it's evident that my skills in AI development, API integration, iOS app development are a perfect match for your Founder’s Pulse mobile app. My name is Mahad and I steer Solves Inn; a software development studio specializing in turning complex concepts into efficient and reliable business solutions. As an established developer, I don't just write code; I solve problems. Your vision of the app being 100% under your control resonates strongly with my approach; everything happens under your Supabase roadmap, wherein no backend or vendor dependencies lock you in. With me on board, giving you TestFlight/App Store-ready builds won’t be a problem. My goal is not just limited to the completion of V1 but also ensuring that the project remains seamless and progressive for possible future updates. I take pride in developing long-lasting client relationships where Clarity, Strategy, and Execution reign supreme. If you're looking for a dedicated partner who's no stranger to challenging app development projects, please don't hesitate to reach out. Let's turn Founder’s Pulse into an intelligent force to reckon with in the entrepreneurial world!

@vinodrayka07

Hello, Your project is exactly the kind of AI-powered mobile MVP I can build. I have 6+ years of experience in mobile development and can deliver the complete Founder's Pulse MVP using Expo React Native, TypeScript, Supabase, and AI integrations while keeping 100% ownership under your accounts. Answers to your questions: 1. Yes, I have built and deployed mobile apps using React Native/Expo and handled App Store releases. 2. Yes, I have worked with Supabase Auth, Storage, PostgreSQL, Edge Functions, and secure RLS policies. 3. Portfolio screenshots would be uploaded to Supabase Storage, processed through an AI/OCR pipeline (OpenAI/Gemini), and normalized into structured holdings data. 4. OCR errors will be handled through a mandatory confirmation/edit screen with confidence scores before saving holdings. 5. I would structure the database using profiles, portfolio_uploads, portfolio_holdings, interests, feedback, saved_cards, intelligence_cards, and feed generation tables with proper relationships and RLS. 6. Absolutely. All code, Supabase resources, GitHub repository, and Expo project will remain under your ownership with no vendor lock-in. 7. Yes, I can provide daily progress updates, commits, and test builds. 8. Yes, a usable MVP can be completed within the 10–14 day timeline. Let's discuss the architecture and MVP scope in detail. Best regards, Vinod Rayka

@sgwtechnology

Yes, I have built and deployed Expo React Native applications and worked extensively with Supabase Auth, Storage, Edge Functions, and RLS. For Founder’s Pulse, I would use OCR (OpenAI Vision/Gemini) to extract holdings from uploaded screenshots, then run a normalization layer to map company names/tickers and assign confidence scores. Users would review and correct results before saving to Supabase. The personalized feed would be generated from user holdings, interests, sectors, and curated news sources using AI-driven ranking and summarization. All code, Supabase resources, GitHub repository, and Expo project will remain under your ownership. I can provide daily progress updates, TestFlight builds, and deliver a usable MVP within the 10–14 day target timeline.

@CauaAlves

Hi! Here's specifically how I'd build the three core pieces of Founder's Pulse: 1) Portfolio screenshot OCR flow — in the Expo app the user captures/uploads a screenshot; it goes to an OCR step (Google Vision or AWS Textract, with GPT-4o vision as fallback for messy broker layouts) to extract tickers, holdings and values. A parsing layer normalizes those into structured positions and asks the user to confirm any low-confidence rows before saving. 2) Supabase backend — Postgres schema (users, portfolios, holdings, feed_items, sources) with Row-Level Security so each user only sees their own data; Supabase Auth for sign-in, Storage for the screenshots, and Edge Functions running the OCR + feed generation server-side so API keys stay safe. 3) AI-generated feed — a vertical Instagram/TikTok-style feed where each card is generated by an LLM from the user's holdings + interests, pulling relevant news/business signals and summarizing them into short, swipeable insights, cached in feed_items for instant scroll. Expo covers iOS + Android from one codebase. Which news/data sources do you want pulled, and do you already have a Supabase project and OpenAI key? Ready to start.