EquityLens - Bloomberg-Grade Financial Insights for Retail Investors at $15/Month
Retail investors are tired of squinting at Yahoo Finance tables and paying $400/month for Bloomberg they can't afford. EquityLens surfaces clean quarterly revenue, EPS, and FCF trend charts for 200+ stocks, built for humans not hedge funds.
Difficulty
intermediate
Category
Finance
Market Demand
High
Revenue Score
7/10
Platform
Web App
Vibe Code Friendly
No
Hackathon Score
🏆 7/10
Validated by Real Pain
— seeded from real developer complaints
Retail investors repeatedly express frustration that no affordable tool surfaces clean quarterly financial trend data the way Bloomberg or FactSet does — they resort to stitching together Yahoo Finance tables and spreadsheets to do what a $15 tool could automate.
What is it?
The gap between a $0 Yahoo Finance experience and a $400/month Bloomberg Terminal has never been wider — and retail investors in the April 2026 market are more financially literate than ever. EquityLens pulls SEC EDGAR filings and Alpha Vantage data to surface clean, opinionated dashboards showing quarterly revenue growth, EPS beats/misses, free cash flow trends, and margin compression signals. No raw tables, no data dump — just the 5 numbers that matter per earnings cycle, visualized with Recharts and summarized in one GPT-4o sentence. Priced at $14.99/month it undercuts every professional tool by 95%. Fully buildable with Next.js, Supabase, and public financial APIs in under 3 weeks.
Why now?
SEC EDGAR's structured API and Alpha Vantage's affordable tier finally make bootstrapped financial data products viable in April 2026, while the retail investing audience is at a multi-year engagement peak post-meme-stock era.
- ▸Clean quarterly revenue, EPS, and FCF trend charts per stock using Recharts
- ▸One-sentence GPT-4o AI summary per earnings report highlighting key signal
- ▸Watchlist with email alert on new earnings data drop
- ▸Earnings calendar view showing upcoming report dates for tracked stocks
Target Audience
Retail investors and self-directed traders managing their own portfolios — estimated 20M active in the US alone, with 500K willing to pay for better data tools.
Example Use Case
Marcus, a retail investor tracking 15 tech stocks, uses EquityLens every earnings season to spot revenue deceleration before the market reacts, avoiding two losing positions and outperforming his previous year by 12%.
User Stories
- ▸As a retail investor, I want to see quarterly revenue and EPS trends in one clean chart, so that I can spot growth deceleration before earnings calls.
- ▸As a self-directed trader, I want an AI summary of each earnings report, so that I can understand key signals in under 30 seconds.
- ▸As a watchlist user, I want an email alert when a tracked stock files new earnings data, so that I never miss an earnings cycle.
Acceptance Criteria
Chart Rendering: done when quarterly revenue chart loads for any S&P 500 ticker in under 2 seconds. AI Summary: done when GPT-4o returns a one-sentence earnings insight cached to Supabase on first load. Watchlist Gate: done when free users are blocked at 5 stocks and prompted to upgrade. Earnings Alert: done when Resend email fires within 1 hour of new EDGAR data ingestion.
Is it worth building?
$14.99/month x 100 users = $1,499 MRR at month 2. $14.99/month x 500 users = $7,495 MRR at month 6. Assumes 5% conversion from 2,000 monthly visitors via finance subreddit and X content.
Unit Economics
CAC: $6 via organic Reddit and X content. LTV: $180 (12 months at $14.99/month). Payback: under 1 month. Gross margin: 88%.
Business Model
SaaS subscription
Monetization Path
Free tier: 5 stocks tracked. Pro: $14.99/month for unlimited stocks and AI summaries. Annual plan at $119/year.
Revenue Timeline
First dollar: week 3 via beta upgrade. $1k MRR: month 2. $5k MRR: month 7. $10k MRR: month 14.
Estimated Monthly Cost
Alpha Vantage Premium: $50, OpenAI API: $30, Vercel: $20, Supabase: $25, Stripe fees: $10. Total: ~$135/month at launch.
Profit Potential
Full-time viable at $5k-$8k MRR given low API costs and high retention from habitual earnings-cycle use.
Scalability
High — add watchlist alerts, earnings calendar, sector comparison, and eventually a mobile app.
Success Metrics
Week 2: 300 signups from r/investing post. Month 1: 40 paid users. Month 3: 75% 90-day retention.
Launch & Validation Plan
Post a Recharts earnings dashboard screenshot on r/investing and r/stocks, measure upvotes and DMs before building auth or payments.
Customer Acquisition Strategy
First customer: post a free demo of 3 blue-chip stocks on r/investing offering early access for feedback, target 50 signups in week 1. Ongoing: weekly earnings breakdown threads on X, SEO for stock-specific searches like 'NVDA quarterly revenue chart', ProductHunt launch.
What's the competition?
Competition Level
Medium
Similar Products
Yahoo Finance is free but cluttered with no AI layer. Koyfin is $39/month and chart-heavy. Seeking Alpha is $239/year and editorial-focused — EquityLens fills the clean AI-summary gap at $15/month.
Competitive Advantage
No Bloomberg account required, opinionated AI summary removes analysis paralysis, priced 95% below professional tools, designed for retail investors not quants.
Regulatory Risks
Must include 'not financial advice' disclaimer prominently. No personalized investment recommendations to avoid SEC investment adviser registration triggers.
What's the roadmap?
Feature Roadmap
V1 (launch): stock dashboard, quarterly charts, AI summary, watchlist, email alerts. V2 (month 2-3): earnings calendar, sector comparison, annual plan pricing. V3 (month 4+): mobile app, portfolio tracking, screener by FCF growth.
Milestone Plan
Phase 1 (Week 1-2): data pipeline and charts ship for 50 stocks, 5 beta users validate. Phase 2 (Week 3-4): Stripe billing live, watchlist alerts active, ProductHunt launch. Phase 3 (Month 2): 100 stocks covered, 50 paid users, churn measured.
How do you build it?
Tech Stack
Next.js, SEC EDGAR API, Alpha Vantage API, GPT-4o for summaries, Recharts, Supabase, Stripe — build with Cursor for data pipeline, v0 for chart components, Lovable for dashboard UI
Suggested Frameworks
Recharts, SWR for data fetching, Zod for validation
Time to Ship
3 weeks
Required Skills
REST API data fetching, Recharts visualization, Supabase data caching, Stripe billing.
Resources
SEC EDGAR full-text search API docs, Alpha Vantage free tier, Recharts docs, Supabase quickstart.
MVP Scope
pages/dashboard.tsx, pages/stock/[ticker].tsx, components/RevenueChart.tsx, components/EPSChart.tsx, components/AISummary.tsx, api/fetch-financials.ts, api/edgar-parser.ts, lib/supabase.ts, lib/stripe.ts, cron/refresh-data.ts
Core User Journey
Sign up -> search and add stocks to watchlist -> view quarterly trend charts -> read AI summary -> upgrade when free stock limit hit.
Architecture Pattern
Cron job daily -> SEC EDGAR API + Alpha Vantage -> parse and normalize financials -> store in Supabase -> Next.js dashboard fetches via SWR -> GPT-4o generates summary on demand -> Recharts renders -> Stripe gates pro features.
Data Model
User has many WatchlistItems. WatchlistItem references one Stock. Stock has many QuarterlyReports. QuarterlyReport has one AISummary.
Integration Points
SEC EDGAR API for filing data, Alpha Vantage for price and EPS data, OpenAI API for summaries, Supabase for data storage and auth, Stripe for billing, Resend for earnings alert emails.
V1 Scope Boundaries
V1 excludes: real-time price data, portfolio P&L tracking, options data, mobile app, social or community features.
Success Definition
A retail investor finds EquityLens via a Reddit post, tracks 10 stocks, receives an earnings alert, reads the AI summary, and renews after month one without any founder interaction.
Challenges
Retention is the real risk — users churn between earnings seasons (quarterly cadence). Must build a weekly digest or portfolio score to maintain daily habit between reports.
Avoid These Pitfalls
Do not build real-time price tracking in v1 — it adds API cost and complexity without improving the earnings-cycle core loop. Do not give personalized recommendations or risk triggering SEC adviser rules. First 10 paying customers will come from manual Reddit outreach, not SEO — start there.
Security Requirements
Supabase Auth with Google OAuth, RLS on watchlist_items per user, rate limit 80 req/min per IP, no financial data stored with PII linkage, GDPR deletion endpoint required.
Infrastructure Plan
Vercel for Next.js, Supabase for Postgres and auth, Supabase Edge Functions for daily data cron, GitHub Actions for CI, Sentry for error tracking, Vercel Analytics for traffic.
Performance Targets
200 DAU and 1,500 req/day at launch, chart page load under 2s, API responses under 500ms, Supabase query results cached with SWR 5-minute stale time.
Go-Live Checklist
- ☐Security audit complete
- ☐Stripe payment tested end-to-end
- ☐Sentry live
- ☐Vercel Analytics configured
- ☐Custom domain with SSL
- ☐Privacy policy and disclaimer published
- ☐5 beta users signed off
- ☐Rollback plan documented
- ☐Reddit and ProductHunt launch post drafted.
How to build it, step by step
1. Run npx create-next-app equitylens --typescript. 2. Install recharts, swr, openai, @supabase/supabase-js, stripe, zod, resend. 3. Set up Supabase with stocks, quarterly_reports, watchlist_items, and ai_summaries tables. 4. Build Alpha Vantage + EDGAR data fetcher in a Supabase Edge Function triggered daily. 5. Create /stock/[ticker] page with four Recharts line charts for revenue, EPS, FCF, and margins using v0. 6. Add GPT-4o summary call per QuarterlyReport on first view, cache in Supabase. 7. Build watchlist UI with add/remove stock and Stripe-gated limit at 5 free stocks. 8. Create Resend email digest for earnings alerts on watchlist stocks. 9. Add Stripe Pro checkout and update user tier on webhook. 10. Deploy to Vercel with a daily cron for data refresh.
Generated
April 2, 2026
Model
claude-sonnet-4-6