Metis
BetaAI stock analysis for Indian swing traders. 70+ traders surveyed, 2,100+ stocks covered, 25 beta users on WhatsApp. From concept to daily-use product in 48 days.

70+
Traders Surveyed
2,100+
NSE + BSE Stocks
1,284
Sector Coverage
25
Beta Users
3
AI Providers
$0.06-0.08
Cost/Session
76%
Cost Reduction
48 days
Built In
Highlights
- →Cut per-session API cost from $0.25 to $0.06 (76% savings) via multi-provider LLM routing with zero quality regression
- →70+ user interviews validated the problem before writing a line of code; 25 active beta users on WhatsApp generating daily analyses
- →Reduced Market Pulse heatmap load from 117 HTTP calls to 16 via batch quote chunking, render time 3-5s to under 1s
- →Config-driven provider registry with Gemini → Groq → Anthropic fallback chain absorbs outages without user impact
The Problem
91% of Indian retail traders lose money (SEBI 2024 study). I surveyed 70+ traders to find out why. 68% said wrong entry/exit timing is their biggest pain. The tools that exist (Screener.in, TradingView, Chartink) give raw data but not analysis. They show you RSI is 58. They don't tell you what that means for your trade, where to enter, where to place a stop loss, or how many shares to buy given your capital. And no tool solves the deeper problem: traders don't know what to look at on any given morning.
What I Built
Core Analysis Engine
Real-time NSE/BSE data + 7 technical indicators (RSI, MACD, Bollinger, ATR, SMA, EMA, pivots) + FII/DII flows + option chain (PCR, max pain, OI) feeding a structured verdict with 0-10 confidence score, interest zones, and capital-aware position sizing.
Market Pulse (Daily Habit Loop)
Sector heatmap, AI morning briefs, 8:30 AM IST push notifications, weekly streaks (Duolingo-style with freeze mechanic). Reduced heatmap load from 117 HTTP calls to 16, render time 3-5s to under 1s.
Stock Discovery
Natural language screener over a 2,132-stock NSE universe plus BSE. Quick-Ask inline analysis cards. Market movers by sector drill-down with leaders and laggards.
Cost-Optimized AI Infrastructure
Config-driven provider registry with Gemini → Groq → Anthropic fallback chain. Three cost-optimization passes (model routing, prompt caching, context slicing, Gemini-first utility routing) dropped per-session cost from $0.25 to $0.06-0.08.
Shareable Analysis Pages
SEO-optimized analysis pages with Article JSON-LD and dynamic sitemap that double as organic landing pages. Interactive widget with candlestick charts, technical panels, and flow data.
Platform & Growth
Email OTP + Google SSO, 6-layer security model (input, data, auth, file, infrastructure, ops), dual-layer analytics (PostHog AARRR + in-DB columns), admin panel for beta ops. 7 free SEO tools (Position Size, Risk-Reward, Swing Profit, Capital Gains, Pivot Point, F&O Turnover) targeting 650K+ monthly searches.
Tech Stack
All projects- Next.js
- TypeScript
- Vercel AI SDK
- Claude Sonnet
- Gemini 2.5 Flash
- Groq Llama 3.3
- Drizzle ORM
- Neon Postgres
- Upstash Redis
- PostHog
- Serper
- FYERS API
- NextAuth
- Web Push
- SWR
Read the writeup: Metis on the blog
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