AI-Driven News & Social App
Budget: ₹37,500 – ₹75,000 INR
Please do not apply with a generic proposal. I will only consider applicants who explain how they would build the portfolio screenshot OCR flow, Supabase backend, and AI-generated feed.
Title: Build AI-Powered Personalized Investing & Business Intelligence Feed App — Expo, Supabase, OCR/AI
I am building a mobile app called Founder’s Pulse.
Founder’s Pulse is a personalized intelligence feed for investors, founders, and business-minded users. The app should feel like Instagram/TikTok, but instead of entertainment, it gives users a personalized daily feed of market, business, startup, AI, and portfolio-related intelligence.
The MVP goal:
A user uploads screenshots of their investment/trading portfolio. The app uses AI/OCR to extract the holdings, asks the user to confirm/edit them, builds an Intelligence Profile, and then generates a personalized daily feed of news/insight cards based on their portfolio, interests, sectors, countries, and business context.
This is not a generic news app or dashboard. It must be mobile-first, premium, clean, and scrollable.
Core user flow:
1. User signs up/logs in.
2. User uploads screenshots of their stock/investment portfolio.
3. AI/OCR extracts holdings from the screenshots.
4. User confirms/edits the extracted holdings.
5. User selects interests, companies, sectors, countries, and topics.
6. App builds an Intelligence Profile.
7. App generates a personalized feed of intelligence cards.
8. User can save cards and give feedback using More/Less buttons.
Required stack:
* Expo React Native
* TypeScript
* Supabase owned by me
* Supabase Auth
* Supabase Postgres
* Supabase Storage
* Supabase Edge Functions where needed
* OpenAI / Anthropic / Gemini API for AI/OCR and card generation
* GitHub repository owned by me
* EAS/TestFlight/App Store-ready build
Important requirements:
* All code must be committed to my GitHub repository.
* Supabase must be under my account.
* Expo project must be under my account.
* No hidden backend, no private database, no vendor lock-in.
* I should be able to continue the project later in Cursor/Codex/Claude.
* The app must work well on iPhone first.
* The app should be App Store/TestFlight-ready.
* Do not ask for direct access to my trading account. V1 uses screenshots only.
Core screens:
1. Landing/demo screen
Clearly explains the app before signup.
2. Login/signup
Smooth mobile login.
3. Portfolio screenshot upload
User uploads screenshots of portfolio holdings.
4. Portfolio extraction confirmation
AI extracts holdings, but user confirms/edits before saving.
5. Intelligence Profile
Shows what the app knows about the user:
* what they own
* what they follow
* what they are interested in
* what they are building
* preferred sectors/countries/topics
6. Today Feed
Instagram-like vertical feed of personalized intelligence cards.
7. Saved Cards
Saved intelligence cards.
8. Settings/Profile
User can update interests, holdings, and preferences.
Portfolio screenshot extraction:
The app should extract, where available:
* company name
* ticker/symbol if visible
* exchange if visible
* quantity
* average price
* current value
* P&L
* confidence score
OCR/AI extraction must include a confirmation step because screenshot extraction will not always be perfect.
Feed card structure:
Each card should include:
* source/time
* headline
* 2–4 sentence summary
* “Why this matters to you”
* impact score
* time horizon
* related companies/topics
* source link
* Save button
* More like this / Less like this buttons
Indian market support is important.
The app should support Indian and US companies. Users should be able to select companies by name, not only ticker.
Examples of Indian companies to include:
Reliance, TCS, Infosys, HDFC Bank, ICICI Bank, Zomato, Tata Motors, Tata Power, Adani Enterprises, Adani Green, Bharti Airtel, L&T, Asian Paints, Titan, DMart, Bajaj Finance, HAL, BEL, IRFC, IREDA, NTPC, Coal India, Suzlon, Jio Financial, HCL Tech, Wipro, Mahindra & Mahindra, Maruti Suzuki.
Examples of global companies/topics:
Nvidia, Microsoft, Apple, Google, Meta, Amazon, Tesla, OpenAI, Anthropic, TSMC, ASML, AMD, Broadcom, Palantir, SpaceX, AI infrastructure, datacenters, nuclear energy, semiconductors, venture capital, startups, founders.
Backend requirements:
Use Supabase with proper tables and RLS policies.
Minimum tables:
* profiles
* portfolio_uploads
* portfolio_holdings
* user_interests
* user_watchlist
* user_projects
* intelligence_cards
* saved_cards
* user_feedback
* feed_runs
* raw_articles
Security requirements:
* Users must only access their own portfolio data.
* Raw article/API payloads should not be readable by normal users.
* API keys must never be exposed in frontend code.
* Sensitive user data must be protected.
* Use Supabase RLS properly.
AI requirements:
1. Extract portfolio holdings from screenshots.
2. Normalize company names/tickers.
3. Generate personalized intelligence cards.
4. Explain why each card matters to the user.
5. Avoid unsupported investment advice.
6. Include source links.
7. Keep outputs factual and cautious.
Do not build in V1:
* broker/trading app integration
* AI video/reels
* social features
* payments
* complex dashboards
* advanced charts
* public profiles
This MVP should focus only on:
portfolio screenshot upload → AI extraction → intelligence profile → personalized feed → save/feedback.
Deliverables:
1. Working Expo React Native app.
2. Supabase schema and RLS policies.
3. AI/OCR portfolio screenshot extraction.
4. Personalized feed generation.
5. Saved cards and feedback.
6. Clean mobile-first UI.
7. GitHub repository with all code.
8. Setup documentation.
9. TestFlight/App Store-ready build.
Budget:
₹60,000–₹1,00,000 fixed price.
Timeline:
10–14 days.
Please apply only if you have experience with:
* Expo React Native
* Supabase
* AI API integrations
* OCR/image extraction
* mobile UI/UX
* TestFlight/App Store deployment
* GitHub-based development
In your proposal, please answer:
1. Have you built and shipped an Expo React Native app before?
2. Have you used Supabase Auth, Storage, Edge Functions, and RLS?
3. How would you extract portfolio holdings from screenshots?
4. How would you handle OCR mistakes?
5. How would you structure the database?
6. Can all code and backend ownership remain under my accounts?
7. Can you provide daily builds or progress updates?
8. Can you complete a usable MVP in 10–14 days?
Title: Build AI-Powered Personalized Investing & Business Intelligence Feed App — Expo, Supabase, OCR/AI
I am building a mobile app called Founder’s Pulse.
Founder’s Pulse is a personalized intelligence feed for investors, founders, and business-minded users. The app should feel like Instagram/TikTok, but instead of entertainment, it gives users a personalized daily feed of market, business, startup, AI, and portfolio-related intelligence.
The MVP goal:
A user uploads screenshots of their investment/trading portfolio. The app uses AI/OCR to extract the holdings, asks the user to confirm/edit them, builds an Intelligence Profile, and then generates a personalized daily feed of news/insight cards based on their portfolio, interests, sectors, countries, and business context.
This is not a generic news app or dashboard. It must be mobile-first, premium, clean, and scrollable.
Core user flow:
1. User signs up/logs in.
2. User uploads screenshots of their stock/investment portfolio.
3. AI/OCR extracts holdings from the screenshots.
4. User confirms/edits the extracted holdings.
5. User selects interests, companies, sectors, countries, and topics.
6. App builds an Intelligence Profile.
7. App generates a personalized feed of intelligence cards.
8. User can save cards and give feedback using More/Less buttons.
Required stack:
* Expo React Native
* TypeScript
* Supabase owned by me
* Supabase Auth
* Supabase Postgres
* Supabase Storage
* Supabase Edge Functions where needed
* OpenAI / Anthropic / Gemini API for AI/OCR and card generation
* GitHub repository owned by me
* EAS/TestFlight/App Store-ready build
Important requirements:
* All code must be committed to my GitHub repository.
* Supabase must be under my account.
* Expo project must be under my account.
* No hidden backend, no private database, no vendor lock-in.
* I should be able to continue the project later in Cursor/Codex/Claude.
* The app must work well on iPhone first.
* The app should be App Store/TestFlight-ready.
* Do not ask for direct access to my trading account. V1 uses screenshots only.
Core screens:
1. Landing/demo screen
Clearly explains the app before signup.
2. Login/signup
Smooth mobile login.
3. Portfolio screenshot upload
User uploads screenshots of portfolio holdings.
4. Portfolio extraction confirmation
AI extracts holdings, but user confirms/edits before saving.
5. Intelligence Profile
Shows what the app knows about the user:
* what they own
* what they follow
* what they are interested in
* what they are building
* preferred sectors/countries/topics
6. Today Feed
Instagram-like vertical feed of personalized intelligence cards.
7. Saved Cards
Saved intelligence cards.
8. Settings/Profile
User can update interests, holdings, and preferences.
Portfolio screenshot extraction:
The app should extract, where available:
* company name
* ticker/symbol if visible
* exchange if visible
* quantity
* average price
* current value
* P&L
* confidence score
OCR/AI extraction must include a confirmation step because screenshot extraction will not always be perfect.
Feed card structure:
Each card should include:
* source/time
* headline
* 2–4 sentence summary
* “Why this matters to you”
* impact score
* time horizon
* related companies/topics
* source link
* Save button
* More like this / Less like this buttons
Indian market support is important.
The app should support Indian and US companies. Users should be able to select companies by name, not only ticker.
Examples of Indian companies to include:
Reliance, TCS, Infosys, HDFC Bank, ICICI Bank, Zomato, Tata Motors, Tata Power, Adani Enterprises, Adani Green, Bharti Airtel, L&T, Asian Paints, Titan, DMart, Bajaj Finance, HAL, BEL, IRFC, IREDA, NTPC, Coal India, Suzlon, Jio Financial, HCL Tech, Wipro, Mahindra & Mahindra, Maruti Suzuki.
Examples of global companies/topics:
Nvidia, Microsoft, Apple, Google, Meta, Amazon, Tesla, OpenAI, Anthropic, TSMC, ASML, AMD, Broadcom, Palantir, SpaceX, AI infrastructure, datacenters, nuclear energy, semiconductors, venture capital, startups, founders.
Backend requirements:
Use Supabase with proper tables and RLS policies.
Minimum tables:
* profiles
* portfolio_uploads
* portfolio_holdings
* user_interests
* user_watchlist
* user_projects
* intelligence_cards
* saved_cards
* user_feedback
* feed_runs
* raw_articles
Security requirements:
* Users must only access their own portfolio data.
* Raw article/API payloads should not be readable by normal users.
* API keys must never be exposed in frontend code.
* Sensitive user data must be protected.
* Use Supabase RLS properly.
AI requirements:
1. Extract portfolio holdings from screenshots.
2. Normalize company names/tickers.
3. Generate personalized intelligence cards.
4. Explain why each card matters to the user.
5. Avoid unsupported investment advice.
6. Include source links.
7. Keep outputs factual and cautious.
Do not build in V1:
* broker/trading app integration
* AI video/reels
* social features
* payments
* complex dashboards
* advanced charts
* public profiles
This MVP should focus only on:
portfolio screenshot upload → AI extraction → intelligence profile → personalized feed → save/feedback.
Deliverables:
1. Working Expo React Native app.
2. Supabase schema and RLS policies.
3. AI/OCR portfolio screenshot extraction.
4. Personalized feed generation.
5. Saved cards and feedback.
6. Clean mobile-first UI.
7. GitHub repository with all code.
8. Setup documentation.
9. TestFlight/App Store-ready build.
Budget:
₹60,000–₹1,00,000 fixed price.
Timeline:
10–14 days.
Please apply only if you have experience with:
* Expo React Native
* Supabase
* AI API integrations
* OCR/image extraction
* mobile UI/UX
* TestFlight/App Store deployment
* GitHub-based development
In your proposal, please answer:
1. Have you built and shipped an Expo React Native app before?
2. Have you used Supabase Auth, Storage, Edge Functions, and RLS?
3. How would you extract portfolio holdings from screenshots?
4. How would you handle OCR mistakes?
5. How would you structure the database?
6. Can all code and backend ownership remain under my accounts?
7. Can you provide daily builds or progress updates?
8. Can you complete a usable MVP in 10–14 days?