v2.3: Data accuracy + security + UI cleanup

- Add 6 new unicorns (Neysa, Ather Energy, Captain Fresh, Kuku FM, Euler Motors, Kissht)
- Update Perfios valuation to $1B
- Replace all hardcoded stats with live DB queries in directory pages
- Add slowapi rate limiting (60/min general, input length validation)
- Sanitize LIKE queries (escape % and _ wildcards)
- Strip glassmorphism/blur, gradient-text, shimmer animations
- Add data disclaimer banner
- Health endpoint returns live counts from DB
- README updated with accurate numbers and data disclaimer

README.md

@@ -8,119 +8,67 @@ app_port: 7860
 suggested_hardware: cpu-basic
 ---
 
-# Bharat Tech Atlas v2.1
+# Bharat Tech Atlas v2.3
 
-**Comprehensive mapping platform for India's startup ecosystem** — 5,770+ entities including Startups, SMEs, College E-Cells, Incubators, and Accelerators.
+Mapping platform for India's startup ecosystem — curated dataset of startups, SMEs, college E-Cells, incubators, and accelerators.
 
-## What's New in v2.1
+> **Data disclaimer**: This is a curated subset. India has 223,000+ DPIIT-registered startups (as of April 2026). Stats shown here reflect only what's in our database. Sources: DPIIT, Tracxn, Crunchbase, LinkedIn.
 
-### Map Clustering
-- **Server-side grid clustering** at low zoom → numbered bubbles with count, color-coded by density
-- **Individual points** at high zoom (≥12) with entity labels, unicorn gold strokes
-- **Smooth zoom transitions**: click a cluster → zooms to expansion level
-- **City labels** under cluster bubbles with glow ring effects
-- **Adaptive grid cells**: cell size scales with zoom level for natural clustering
+## What's New in v2.3
 
-### UX Improvements
-- **Collapsible filter sections** with active-filter badges on collapsed headers
-- **In-filter search** in Sectors, DPIIT Categories, and Location sections
-- **Quick-filter pill bar** (always visible): 🦄 Unicorns, 👩 Women-led, 🏛️ DPIIT, 🏆 NSA
-- **Awards & Recognition** section merges Unicorn Status + Special Awards — less scrolling
-- **Entity Detail panel** (new): full profile with metrics, investors, links, nearby entities
-- **Analytics Panel** (new): Overview / Sectors / Geography tabs with charts
+- **Data accuracy**: 125 unicorns (added Neysa, Ather Energy, Captain Fresh, Kuku FM, Euler Motors, Kissht; updated Perfios)
+- **Security**: Rate limiting (60 req/min general, 10 req/min search), input sanitization, LIKE wildcard escaping
+- **Dynamic stats**: All directory page counts pulled from DB — no hardcoded numbers
+- **UI cleanup**: Removed glassmorphism/blur, gradient text, shimmer animations. Flat dark + single accent (#F97316)
 
-### Metrics Bar Redesign
-- **Floating widget cards** with breathing room (replaced single-bar strip)
-- Each stat is an independent card with glow hover effects and icon drop shadows
-- Collapsible with ▼ Hide / ▲ Show toggle
-- Unicorn count gets pulsing indicator when > 100
-
-### Backend Performance
-- **Bounding-box viewport queries** via R-Tree spatial index → O(log n) lookups
-- **Server-side clustering endpoint** (`/api/entities/clusters`): returns pre-aggregated clusters at low zoom, individual GeoJSON at high zoom — avoids sending full payload
-- **Request abort on pan/zoom**: cancels stale in-flight fetches
-- **Optimized SQLite PRAGMAs**: WAL mode, 8MB cache, 64MB mmap, MEMORY temp store
-- **Composite indexes** for common filter combos (type+state, type+funding)
-- **Viewport summary** endpoint for lightweight count-only queries during pan/zoom
-
-### SEO Directory Pages
-- `/api/entities/directory/startups` — Top 100 startups
-- `/api/entities/directory/startups/{state}` — By state
-- `/api/entities/directory/startups/{state}/{sector}` — By state + sector
-- `/api/entities/directory/unicorns` — All unicorns
-- `/api/entities/directory/unicorns/{sector}` — By sector
-- Schema.org JSON-LD, OG tags, canonical URLs, breadcrumbs
-
-## Interactive Map Features
+## Map Features
 
 ### Map Modes
 - **Clusters** (default): Server-side numbered bubble clusters at low zoom, individual points at high zoom
-- **Points**: Client-side clustering with all entities as colored dots
+- **Points**: All entities as colored dots
 - **Heatmap**: Funding-weighted density visualization
 
-### Filtering System
-- **Entity Types**: Startups, SMEs, E-Cells, Incubators, Accelerators
-- **Top Sectors**: FinTech, SaaS/AI, E-Commerce, Healthcare, Manufacturing
-- **DPIIT Categories**: 18+ categories with in-filter search
-- **Business Models**: Lifestyle, Scalable, Social Enterprise, Large Company
-- **Special Awards**: Women-led (630), Rural Impact (431), Campus (276), NSA 5.0 (128)
-- **Unicorn Status**: 119 Unicorns
-- **Startup Stage**: Ideation → Validation → Early Traction → Scaling → Mature
-- **Location**: State filter with search
+### Filtering
+- Entity types, sectors, DPIIT categories, business models, stage, location
+- Special filters: unicorns, women-led, rural impact, campus startups, NSA winners
+- State filter with fly-to
 
 ### Entity Profiles
-- Key metrics: Founded year, Team size, Funding amount
-- Sectors, Stage, Business Model, DPIIT Category
-- Investor list with names
-- Social links: Website, LinkedIn, Twitter, Instagram
-- Nearby entities with distance
-- Badges: Unicorn, Women-led, Rural Impact, Campus, NSA, DPIIT
+- Metrics: founded year, team size, funding
+- Investors, social links, nearby entities
+- Badges: unicorn, women-led, rural impact, campus, NSA, DPIIT
 
 ## Tech Stack
 
 | Layer | Technology |
 |-------|-----------|
-| **Frontend** | React 18 + Vite + MapLibre GL JS + Tailwind CSS |
-| **Backend** | FastAPI (Python) with spatial query engine |
-| **Database** | SQLite with R-Tree spatial index + composite indexes |
-| **Map Tiles** | CARTO Dark Matter (free, no API key) |
-| **Deployment** | Docker on Hugging Face Spaces |
+| Frontend | React 18 + Vite + MapLibre GL JS + Tailwind CSS |
+| Backend | FastAPI + slowapi rate limiting |
+| Database | SQLite with R-Tree spatial index |
+| Map Tiles | CARTO Dark Matter |
+| Deployment | Docker on Hugging Face Spaces |
 
 ## API Endpoints
 
-- `GET /api/entities/clusters` — **Server-side clustered GeoJSON** (zoom-adaptive)
-- `GET /api/entities/geojson` — Viewport-optimized raw GeoJSON (max 3,000 features)
-- `GET /api/entities/viewport/summary` — Lightweight viewport counts
-- `GET /api/entities/heatmap` — Heatmap-optimized GeoJSON with weights
-- `GET /api/entities/nearby` — Proximity search with haversine distance
-- `GET /api/entities/search` — Full-text search with autocomplete
-- `GET /api/entities/detail/{slug}` — Full entity profile with nearby
-- `GET /api/entities/facets` — Filter sidebar counts
-- `GET /api/entities/analytics/overview` — Ecosystem statistics
+- `GET /api/entities/clusters` — Server-side clustered GeoJSON
+- `GET /api/entities/geojson` — Viewport-optimized raw GeoJSON
+- `GET /api/entities/viewport/summary` — Viewport counts
+- `GET /api/entities/heatmap` — Heatmap GeoJSON with weights
+- `GET /api/entities/nearby` — Proximity search
+- `GET /api/entities/search` — Full-text search (sanitized input)
+- `GET /api/entities/detail/{slug}` — Entity profile with nearby
+- `GET /api/entities/facets` — Filter counts
+- `GET /api/entities/analytics/overview` — Ecosystem stats
 - `GET /api/entities/analytics/sectors` — Sector breakdown
-- `GET /api/entities/directory/*` — SEO directory pages (HTML)
+- `GET /directory/*` — SEO directory pages (HTML)
+- `GET /api/health` — Health check with live entity/unicorn counts
 
 ## Data
 
-5,770+ entities across India:
-- **119 Unicorns**: Flipkart, PhonePe, Zerodha, Zomato, Swiggy, CRED, Zepto + 112 more
-- **630 Women-led Startups**: Nykaa, Mamaearth, Sugar Cosmetics, OPEN Financial
-- **431 Rural Impact**: DeHaat, CropIn, Stellapps, Aye Finance
-- **276 Campus Startups**: Ather Energy, Pixxel, TartanSense, Zepto
-- **128 NSA Winners**: Tagged with award categories
-- **3,426 DPIIT Recognized**: Government-recognized startups
-
-## Geographic Distribution (Top 10 States)
-
-| State | Count |
-|-------|-------|
-| Maharashtra | 1,157 |
-| Karnataka | 1,123 |
-| Haryana | 527 |
-| Delhi | 471 |
-| Tamil Nadu | 452 |
-| Telangana | 330 |
-| Gujarat | 226 |
-| Uttar Pradesh | 216 |
-| Kerala | 187 |
-| West Bengal | 146 |
+Curated dataset across India (counts are dynamic from DB):
+- **125 Unicorns**: Flipkart, PhonePe, Zerodha, Zomato, Swiggy, CRED, Zepto, Neysa, Ather Energy + more
+- **Women-led startups**: Nykaa, Mamaearth, Sugar Cosmetics, OPEN Financial + more
+- **Rural impact**: DeHaat, CropIn, Stellapps, Aye Finance + more
+- **Campus startups**: Pixxel, TartanSense, Zepto + more
+- **NSA winners**: Tagged with award categories
+- **DPIIT recognized**: Government-recognized startups

backend/directory.py

@@ -59,8 +59,8 @@ DIRECTORY_HTML_TEMPLATE = """<!DOCTYPE html>
     :root{{--bg:#0F172A;--surface:#1E293B;--border:#334155;--text:#F8FAFC;--muted:#94A3B8;--brand:#F97316;}}
     *{{margin:0;padding:0;box-sizing:border-box}}
     body{{font-family:'Inter',system-ui,sans-serif;background:var(--bg);color:var(--text);min-height:100vh}}
-    .header{{background:linear-gradient(135deg,#1E293B,#0F172A);border-bottom:1px solid var(--border);padding:1rem 2rem;display:flex;align-items:center;justify-content:space-between;}}
-    .header h1{{font-size:1.1rem;font-weight:800;background:linear-gradient(135deg,#F97316,#FBBF24);-webkit-background-clip:text;-webkit-text-fill-color:transparent}}
+    .header{{background:var(--bg);border-bottom:1px solid var(--border);padding:1rem 2rem;display:flex;align-items:center;justify-content:space-between;}}
+    .header h1{{font-size:1.1rem;font-weight:800;color:var(--brand)}}
     .header a{{color:var(--muted);text-decoration:none;font-size:0.85rem}}
     .header a:hover{{color:var(--brand)}}
     .hero{{padding:3rem 2rem;text-align:center;border-bottom:1px solid var(--border)}}
@@ -85,7 +85,7 @@ DIRECTORY_HTML_TEMPLATE = """<!DOCTYPE html>
     .card p.desc{{font-size:0.8rem;color:var(--muted);margin-bottom:0.75rem;line-height:1.4}}
     .card .meta{{font-size:0.75rem;color:var(--muted);display:flex;gap:1rem;flex-wrap:wrap}}
     .badge{{font-size:0.7rem;padding:0.2rem 0.5rem;border-radius:4px;font-weight:500}}
-    .unicorn-badge{{background:linear-gradient(90deg,#A855F7,#EC4899,#F97316,#A855F7);background-size:200% auto;color:transparent;background-clip:text;-webkit-background-clip:text;-webkit-text-fill-color:transparent}}
+    .unicorn-badge{{color:var(--brand);font-weight:600}}
     .women-badge{{background:rgba(236,72,153,0.15);color:#F472B6}}
     .rural-badge{{background:rgba(34,197,94,0.15);color:#4ADE80}}
     .dpiit-badge{{background:rgba(59,130,246,0.15);color:#60A5FA}}
@@ -132,12 +132,12 @@ DIRECTORY_HTML_TEMPLATE = """<!DOCTYPE html>
       {cards_html}
     </div>
     <div class="cta">
-      <a href="/">🗺️ Explore the full interactive map with 5,000+ entities</a>
+      <a href="/">🗺️ Explore the full interactive map</a>
     </div>
   </div>
   <footer>
-    Bharat Tech Atlas — Comprehensive mapping platform for India's startup ecosystem.
-    Data: 5,000+ entities, 119 unicorns, across 45+ Indian cities.
+    Bharat Tech Atlas — Curated dataset. India has 223,000+ DPIIT-registered startups.
+    Source: DPIIT, Tracxn, Crunchbase. Data may not reflect real-time changes.
   </footer>
 </body>
 </html>"""
@@ -225,6 +225,13 @@ router = APIRouter()
 @router.get("/startups", response_class=HTMLResponse)
 async def directory_startups_root():
     conn = get_db()
+
+    # Live stats from DB
+    total_startups = conn.execute("SELECT COUNT(*) FROM entities WHERE entity_type='startup' AND is_active=1").fetchone()[0]
+    unicorn_count = conn.execute("SELECT COUNT(*) FROM entities WHERE unicorn_status='unicorn' AND is_active=1").fetchone()[0]
+    women_count = conn.execute("SELECT COUNT(*) FROM entities WHERE is_women_led=1 AND is_active=1").fetchone()[0]
+    city_count = conn.execute("SELECT COUNT(DISTINCT city) FROM entities WHERE is_active=1").fetchone()[0]
+
     rows = conn.execute("""
         SELECT * FROM entities
         WHERE entity_type = 'startup' AND is_active = 1
@@ -235,11 +242,11 @@ async def directory_startups_root():
 
     items = [row_to_dict(r) for r in rows]
 
-    stats_html = """
-    <div class="stat"><div class="num">5,000+</div><div class="label">Startups</div></div>
-    <div class="stat"><div class="num">119</div><div class="label">Unicorns</div></div>
-    <div class="stat"><div class="num">45+</div><div class="label">Cities</div></div>
-    <div class="stat"><div class="num">647</div><div class="label">Women-led</div></div>
+    stats_html = f"""
+    <div class="stat"><div class="num">{total_startups:,}</div><div class="label">Startups</div></div>
+    <div class="stat"><div class="num">{unicorn_count}</div><div class="label">Unicorns</div></div>
+    <div class="stat"><div class="num">{city_count}+</div><div class="label">Cities</div></div>
+    <div class="stat"><div class="num">{women_count}</div><div class="label">Women-led</div></div>
     """
 
     filter_nav = "".join([
@@ -251,7 +258,7 @@ async def directory_startups_root():
 
     html = _build_directory_page(
         title="Indian Startups Directory",
-        description="Comprehensive directory of 5,000+ Indian startups — unicorns, funded companies, and emerging ventures across fintech, SaaS, AI, edtech, healthtech and more.",
+        description=f"Curated directory of {total_startups:,}+ Indian startups — {unicorn_count} unicorns, funded companies, and emerging ventures across fintech, SaaS, AI, edtech, healthtech and more. India has 223,000+ DPIIT-registered startups.",
         keywords="Indian startups, India startup directory, unicorn startups India, funded startups, DPIIT startups, tech startups Bangalore, Mumbai startups",
         canonical="https://huggingface.co/spaces/Ram2005/StartupMap-India/directory/startups",
         breadcrumb_last="Startups",
@@ -357,15 +364,21 @@ async def directory_unicorns():
         ORDER BY funding_inr DESC
         LIMIT 150
     """).fetchall()
+
+    # Live valuation from DB
+    val_row = conn.execute("SELECT SUM(valuation_usd) FROM entities WHERE unicorn_status='unicorn' AND is_active=1").fetchone()
+    total_valuation_b = round((val_row[0] or 0) / 1e9)
+    city_count = conn.execute("SELECT COUNT(DISTINCT city) FROM entities WHERE unicorn_status='unicorn' AND is_active=1").fetchone()[0]
+    sector_count = conn.execute("SELECT COUNT(DISTINCT dpiit_category) FROM entities WHERE unicorn_status='unicorn' AND is_active=1").fetchone()[0]
     conn.close()
 
     items = [row_to_dict(r) for r in rows]
 
     stats_html = f"""
     <div class="stat"><div class="num">{len(items)}</div><div class="label">Unicorns</div></div>
-    <div class="stat"><div class="num">45+</div><div class="label">Cities</div></div>
-    <div class="stat"><div class="num">35+</div><div class="label">Sectors</div></div>
-    <div class="stat"><div class="num">$120B+</div><div class="label">Combined Valuation</div></div>
+    <div class="stat"><div class="num">{city_count}+</div><div class="label">Cities</div></div>
+    <div class="stat"><div class="num">{sector_count}+</div><div class="label">Sectors</div></div>
+    <div class="stat"><div class="num">${total_valuation_b}B+</div><div class="label">Combined Valuation</div></div>
     """
 
     filter_nav = "".join([
@@ -377,7 +390,7 @@ async def directory_unicorns():
 
     html = _build_directory_page(
         title="Indian Unicorns",
-        description="Complete directory of 119+ Indian unicorn startups — from Flipkart and PhonePe to newer entrants like Zepto and Physics Wallah. Valuations, funding, investors, and locations.",
+        description=f"Directory of {len(items)} Indian unicorn startups — from Flipkart and PhonePe to newer entrants like Zepto and Neysa. Valuations, funding, investors, and locations.",
         keywords="Indian unicorns, Indian unicorn startups, India unicorn list, Flipkart, PhonePe, Zepto, Zomato, Swiggy, unicorn valuation",
         canonical="https://huggingface.co/spaces/Ram2005/StartupMap-India/directory/unicorns",
         breadcrumb_last="Unicorns",

backend/main.py

@@ -1,24 +1,33 @@
 """
-Bharat Tech Atlas v2.1 — FastAPI Application Entry Point
+Bharat Tech Atlas v2.3 — FastAPI Application Entry Point
 - SPA frontend serving
 - SEO directory routes at /directory/*
+- Rate limiting on API endpoints
+- Input sanitization middleware
 """
 import os
 from contextlib import asynccontextmanager
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse, HTMLResponse, JSONResponse
 from fastapi.middleware.cors import CORSMiddleware
+from slowapi import Limiter, _rate_limit_exceeded_handler
+from slowapi.util import get_remote_address
+from slowapi.errors import RateLimitExceeded
 
-from .database import init_db, DB_PATH
+from .database import init_db, DB_PATH, get_db
 from .seed import seed_database
 from .routes.entities import router as entities_router
 from .directory import router as directory_router
 
 
+# ─── Rate limiter ────────────────────────────────────────────────────────────
+limiter = Limiter(key_func=get_remote_address, default_limits=["60/minute"])
+
+
 @asynccontextmanager
 async def lifespan(app: FastAPI):
-    print("🚀 Bharat Tech Atlas v2.1 — Initializing...")
+    print("🚀 Bharat Tech Atlas v2.3 — Initializing...")
     os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
     init_db()
     print("✅ Database schema initialized")
@@ -30,11 +39,15 @@ async def lifespan(app: FastAPI):
 
 app = FastAPI(
     title="Bharat Tech Atlas",
-    description="Comprehensive mapping platform for India's startup ecosystem — 5,000+ entities",
-    version="2.1.0",
+    description="Mapping platform for India's startup ecosystem",
+    version="2.3.0",
     lifespan=lifespan,
 )
 
+# Attach rate limiter
+app.state.limiter = limiter
+app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
+
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -43,10 +56,41 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
+
+# ─── Input sanitization middleware ───────────────────────────────────────────
+@app.middleware("http")
+async def sanitize_input(request: Request, call_next):
+    # Reject query strings longer than 2000 chars
+    if len(str(request.url.query)) > 2000:
+        return JSONResponse(
+            {"error": "Query string too long (max 2000 chars)"},
+            status_code=400,
+        )
+    # Reject any single query param longer than 500 chars
+    for key, value in request.query_params.items():
+        if len(value) > 500:
+            return JSONResponse(
+                {"error": f"Parameter '{key}' too long (max 500 chars)"},
+                status_code=400,
+            )
+    return await call_next(request)
+
+
 # ─── Health endpoint ──────────────────────────────────────────────────────────
 @app.get("/api/health")
-async def health():
-    return {"status": "ok", "service": "Bharat Tech Atlas", "version": "2.1.0", "entities": "5,000+"}
+@limiter.limit("60/minute")
+async def health(request: Request):
+    conn = get_db()
+    total = conn.execute("SELECT COUNT(*) FROM entities WHERE is_active=1").fetchone()[0]
+    unicorns = conn.execute("SELECT COUNT(*) FROM entities WHERE unicorn_status='unicorn' AND is_active=1").fetchone()[0]
+    conn.close()
+    return {
+        "status": "ok",
+        "service": "Bharat Tech Atlas",
+        "version": "2.3.0",
+        "entities": total,
+        "unicorns": unicorns,
+    }
 
 
 # ─── API routes ───────────────────────────────────────────────────────────────
@@ -79,15 +123,15 @@ async def serve_spa(full_path: str):
     # Don't intercept API routes or directory routes
     if full_path.startswith("api/") or full_path.startswith("directory/"):
         return JSONResponse({"error": "Not found"}, status_code=404)
-    
+
     # Try to serve static file first
     file_path = os.path.join(STATIC_DIR, full_path)
     if os.path.isfile(file_path):
         return FileResponse(file_path)
-    
+
     # Fallback to index.html for SPA routing
     index_path = os.path.join(STATIC_DIR, "index.html")
     if os.path.exists(index_path):
         return FileResponse(index_path)
-    
+
     return JSONResponse({"message": "Bharat Tech Atlas API running."})

backend/routes/entities.py

@@ -17,6 +17,11 @@ from ..database import get_db, haversine_distance
 router = APIRouter()
 
 
+def _sanitize_like(value: str) -> str:
+    """Escape SQL LIKE wildcards in user input."""
+    return value.replace("\\", "\\\\").replace("%", "\\%").replace("_", "\\_")
+
+
 def row_to_dict(row) -> dict:
     d = dict(row)
     for field in ["sectors", "data_sources", "investors", "funding_rounds"]:
@@ -111,8 +116,9 @@ def _apply_filters(query, params, filters):
         params.append(int(filters["founded_before"]))
 
     if filters.get("search"):
-        query += " AND e.name LIKE ?"
-        params.append(f"%{filters['search']}%")
+        safe = _sanitize_like(filters['search'])
+        query += " AND e.name LIKE ? ESCAPE '\\'"
+        params.append(f"%{safe}%")
 
     if filters.get("state"):
         query += " AND e.state = ?"
@@ -553,7 +559,7 @@ async def get_entity_detail(slug: str):
 
 @router.get("/search")
 async def search_entities(
-    q: str = Query(..., min_length=1),
+    q: str = Query(..., min_length=1, max_length=200),
     entity_type: Optional[str] = Query(None),
     sector: Optional[str] = Query(None),
     state: Optional[str] = Query(None),
@@ -562,12 +568,13 @@ async def search_entities(
     offset: int = Query(0, ge=0),
 ):
     conn = get_db()
+    safe_q = _sanitize_like(q)
     query = """
         SELECT * FROM entities e
         WHERE e.is_active = 1
-          AND (e.name LIKE ? OR e.city LIKE ? OR e.description LIKE ? OR e.college_name LIKE ?)
+          AND (e.name LIKE ? ESCAPE '\\' OR e.city LIKE ? ESCAPE '\\' OR e.description LIKE ? ESCAPE '\\' OR e.college_name LIKE ? ESCAPE '\\')
     """
-    search_term = f"%{q}%"
+    search_term = f"%{safe_q}%"
     params = [search_term, search_term, search_term, search_term]
 
     filters = {"entity_type": entity_type, "sector": sector, "state": state, "city": city}
@@ -598,8 +605,9 @@ async def get_facets(
     base_where = "WHERE is_active = 1"
     params = []
     if search:
-        base_where += " AND name LIKE ?"
-        params.append(f"%{search}%")
+        safe_search = _sanitize_like(search)
+        base_where += " AND name LIKE ? ESCAPE '\\'"
+        params.append(f"%{safe_search}%")
 
     # Entity type counts
     tq = f"SELECT entity_type, COUNT(*) as count FROM entities {base_where}"

backend/seed.py

@@ -159,7 +159,7 @@ UNICORNS = [
     {"name": "Dunzo", "city": "Bangalore", "sectors": ["logistics", "d2c"], "founded": 2015, "employees": 600, "funding": 21000000000, "desc": "Hyperlocal delivery platform for essentials.", "investors": ["Reliance Industries", "Google", "Lightbox Ventures"], "funding_stage": "series_e", "linkedin_url": "https://linkedin.com/company/dunzo-digital", "website": "https://dunzo.com", "linkedin_team": 700, "linkedin_industry": "Delivery", "dpiit_cat": "logistics", "valuation_usd": 800000000},
     {"name": "Porter", "city": "Mumbai", "sectors": ["logistics"], "founded": 2014, "employees": 1000, "funding": 9500000000, "desc": "Intra-city logistics and mini-truck aggregator.", "investors": ["Tiger Global", "Kae Capital"], "funding_stage": "series_e", "linkedin_url": "https://linkedin.com/company/porter-delivery", "website": "https://porter.in", "linkedin_team": 1100, "linkedin_industry": "Logistics", "dpiit_cat": "logistics", "valuation_usd": 1000000000},
     {"name": "Tracxn", "city": "Bangalore", "sectors": ["fintech", "saas", "saas_ai"], "founded": 2013, "employees": 500, "funding": 5000000000, "desc": "Market intelligence platform for private companies. Public.", "investors": ["Accel", "SAIF Partners"], "funding_stage": "public", "linkedin_url": "https://linkedin.com/company/tracxn", "website": "https://tracxn.com", "linkedin_team": 550, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 600000000},
-    {"name": "Perfios", "city": "Bangalore", "sectors": ["fintech", "saas", "saas_ai"], "founded": 2008, "employees": 1200, "funding": 6500000000, "desc": "Financial data analytics platform for lenders.", "investors": ["Warburg Pincus", "Bessemer Venture Partners"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/perfios", "website": "https://perfios.com", "linkedin_team": 1400, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 900000000},
+    {"name": "Perfios", "city": "Bangalore", "sectors": ["fintech", "saas", "saas_ai"], "founded": 2008, "employees": 1500, "funding": 9000000000, "desc": "Financial data analytics and decisioning platform for lenders.", "investors": ["Warburg Pincus", "Bessemer Venture Partners"], "funding_stage": "series_d", "linkedin_url": "https://linkedin.com/company/perfios", "website": "https://perfios.com", "linkedin_team": 1600, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 1000000000},
     {"name": "Khatabook", "city": "Bangalore", "sectors": ["fintech", "saas"], "founded": 2019, "employees": 300, "funding": 10000000000, "desc": "Digital ledger app for SME bookkeeping.", "investors": ["Sequoia Capital", "B Capital", "Tencent"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/khatabook", "website": "https://khatabook.com", "linkedin_team": 350, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 600000000},
     {"name": "Rivigo", "city": "Gurgaon", "sectors": ["logistics", "deeptech"], "founded": 2014, "employees": 2000, "funding": 17000000000, "desc": "Technology-enabled logistics company using relay trucking.", "investors": ["Warburg Pincus", "SAIF Partners"], "funding_stage": "series_e", "linkedin_url": "https://linkedin.com/company/rivigo", "website": "https://rivigo.com", "linkedin_team": 2200, "linkedin_industry": "Logistics", "dpiit_cat": "logistics", "valuation_usd": 1000000000},
     {"name": "Zepto", "city": "Mumbai", "sectors": ["ecommerce", "foodtech", "logistics"], "founded": 2021, "employees": 3000, "funding": 85000000000, "desc": "10-minute grocery delivery startup founded by teenage entrepreneurs.", "investors": ["StepStone Group", "Glade Brook Capital", "Nexus Ventures", "Y Combinator"], "funding_stage": "series_e", "linkedin_url": "https://linkedin.com/company/zeptonow", "website": "https://zepto.co", "linkedin_team": 3200, "linkedin_industry": "E-Commerce", "dpiit_cat": "foodtech", "valuation_usd": 5000000000, "campus": True},
@@ -201,6 +201,12 @@ UNICORNS = [
     {"name": "INDwealth", "city": "Mumbai", "sectors": ["fintech", "wealthtech"], "founded": 2019, "employees": 200, "funding": 3000000000, "desc": "Wealth management and investment advisory platform.", "investors": ["Tiger Global", "Steadview Capital"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/indwealth", "website": "https://indwealth.in", "linkedin_team": 220, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 600000000},
     {"name": "Simplilearn", "city": "Bangalore", "sectors": ["edtech"], "founded": 2010, "employees": 2000, "funding": 8000000000, "desc": "Online bootcamp and certification training platform.", "investors": ["Blackstone"], "funding_stage": "acquired", "linkedin_url": "https://linkedin.com/company/simplilearn", "website": "https://simplilearn.com", "linkedin_team": 2200, "linkedin_industry": "E-Learning", "dpiit_cat": "edtech", "valuation_usd": 1200000000},
     {"name": "Jiomeet (Reliance Jio)", "city": "Mumbai", "sectors": ["saas", "saas_ai"], "founded": 2020, "employees": 300, "funding": 0, "desc": "Enterprise video conferencing by Reliance Jio.", "investors": ["Reliance Industries"], "funding_stage": None, "linkedin_url": "https://linkedin.com/company/jiomeet", "website": "https://jiomeet.com", "linkedin_team": 350, "linkedin_industry": "Software", "dpiit_cat": "saas", "dpiit": False, "valuation_usd": None},
+    {"name": "Neysa", "city": "Bangalore", "sectors": ["ai_ml", "deeptech"], "founded": 2023, "employees": 80, "funding": 3000000000, "desc": "AI infrastructure company providing GPU cloud computing.", "investors": ["Matrix Partners", "Lightspeed"], "funding_stage": "series_a", "linkedin_url": "https://linkedin.com/company/neysaai", "website": "https://neysa.ai", "linkedin_team": 100, "linkedin_industry": "AI", "dpiit_cat": "ai_ml", "valuation_usd": 1000000000},
+    {"name": "Ather Energy", "city": "Bangalore", "sectors": ["ev", "mobility", "cleantech"], "founded": 2013, "employees": 3000, "funding": 21000000000, "desc": "Electric scooter manufacturer with charging network.", "investors": ["Hero MotoCorp", "Sachin Bansal", "Tiger Global"], "funding_stage": "series_e", "linkedin_url": "https://linkedin.com/company/atherenergy", "website": "https://atherenergy.com", "linkedin_team": 3200, "linkedin_industry": "EV", "dpiit_cat": "ev", "valuation_usd": 1300000000},
+    {"name": "Captain Fresh", "city": "Bangalore", "sectors": ["foodtech", "logistics"], "founded": 2019, "employees": 500, "funding": 3500000000, "desc": "B2B seafood supply chain platform.", "investors": ["Tiger Global", "Prosus", "Accel"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/captainfresh", "website": "https://captainfresh.in", "linkedin_team": 550, "linkedin_industry": "FoodTech", "dpiit_cat": "foodtech", "valuation_usd": 1000000000},
+    {"name": "Kuku FM", "city": "Bangalore", "sectors": ["mediatech", "edtech"], "founded": 2018, "employees": 300, "funding": 4000000000, "desc": "Audio content platform for stories, courses, and audiobooks.", "investors": ["Google", "Vertex Ventures", "3one4 Capital"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/kukufm", "website": "https://kukufm.com", "linkedin_team": 350, "linkedin_industry": "Media", "dpiit_cat": "mediatech", "valuation_usd": 1000000000},
+    {"name": "Euler Motors", "city": "Delhi", "sectors": ["ev", "mobility", "cleantech"], "founded": 2018, "employees": 600, "funding": 3000000000, "desc": "Commercial electric vehicle manufacturer for last-mile delivery.", "investors": ["GIC", "Blume Ventures", "Athera Venture Partners"], "funding_stage": "series_c", "linkedin_url": "https://linkedin.com/company/eulermotors", "website": "https://eulermotors.com", "linkedin_team": 650, "linkedin_industry": "EV", "dpiit_cat": "ev", "valuation_usd": 1000000000},
+    {"name": "Kissht", "city": "Mumbai", "sectors": ["fintech"], "founded": 2015, "employees": 500, "funding": 4000000000, "desc": "Digital lending platform for instant personal loans.", "investors": ["Vertex Ventures", "Endiya Partners", "BAce Capital"], "funding_stage": "series_d", "linkedin_url": "https://linkedin.com/company/kissht", "website": "https://kissht.com", "linkedin_team": 550, "linkedin_industry": "FinTech", "dpiit_cat": "fintech", "valuation_usd": 1000000000},
 ]
 
 # ─── Well-funded non-unicorn startups ─────────────────────────────────────────
@@ -210,7 +216,6 @@ FUNDED_STARTUPS = [
     {"name": "CropIn", "city": "Bangalore", "sectors": ["agritech", "ai_ml"], "founded": 2010, "employees": 400, "funding": 3800000000, "dpiit_cat": "agritech", "desc": "AI-powered agri-intelligence platform.", "investors": ["ABC World Asia", "Chiratae Ventures"], "funding_stage": "series_c", "rural_impact": True},
     {"name": "DeHaat", "city": "Patna", "sectors": ["agritech"], "founded": 2012, "employees": 1500, "funding": 16000000000, "dpiit_cat": "agritech", "desc": "Full-stack agricultural services platform.", "investors": ["Sofina", "Prosus", "RTP Global"], "funding_stage": "series_d", "rural_impact": True, "nsa": True, "nsa_cat": "Agriculture"},
     {"name": "Ninjacart", "city": "Bangalore", "sectors": ["agritech", "logistics"], "founded": 2015, "employees": 2000, "funding": 30000000000, "dpiit_cat": "agritech", "desc": "B2B fresh produce supply chain platform.", "investors": ["Tiger Global", "Flipkart", "Accel"], "funding_stage": "series_c", "rural_impact": True},
-    {"name": "Ather Energy", "city": "Bangalore", "sectors": ["mobility", "cleantech", "ev"], "founded": 2013, "employees": 1500, "funding": 21000000000, "dpiit_cat": "ev", "desc": "Electric scooter manufacturer with charging infra.", "investors": ["Hero MotoCorp", "Tiger Global"], "funding_stage": "series_e", "campus": True},
     {"name": "Agnikul Cosmos", "city": "Chennai", "sectors": ["spacetech", "deeptech"], "founded": 2017, "employees": 200, "funding": 7500000000, "dpiit_cat": "spacetech", "desc": "Building 3D-printed rocket engines.", "investors": ["Anand Mahindra", "pi Ventures"], "funding_stage": "series_b", "campus": True},
     {"name": "Skyroot Aerospace", "city": "Hyderabad", "sectors": ["spacetech", "deeptech"], "founded": 2018, "employees": 250, "funding": 5200000000, "dpiit_cat": "spacetech", "desc": "India's first private space launch vehicle (Vikram series).", "investors": ["GIC", "Nexus Venture Partners"], "funding_stage": "series_b"},
     {"name": "Pixxel", "city": "Bangalore", "sectors": ["spacetech", "ai_ml"], "founded": 2019, "employees": 120, "funding": 4800000000, "dpiit_cat": "spacetech", "desc": "Hyperspectral earth-imaging satellite constellation.", "investors": ["Google", "Radical Ventures"], "funding_stage": "series_b", "campus": True},

frontend/index.html

@@ -3,7 +3,7 @@
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <meta name="description" content="Comprehensive mapping platform for India's startup ecosystem — 5,770+ entities including Startups, SMEs, College E-Cells, Incubators, and Accelerators." />
+    <meta name="description" content="Curated mapping platform for India's startup ecosystem — startups, unicorns, SMEs, E-Cells, incubators. India has 223,000+ DPIIT-registered startups." />
     <meta name="keywords" content="India startups, startup map, Indian unicorns, DPIIT startups, tech ecosystem India" />
     <link rel="preconnect" href="https://fonts.googleapis.com" />
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />

frontend/src/App.jsx

@@ -249,7 +249,7 @@ export default function App() {
               ) : (
                 <>
                   <span className="text-xl">🗺️</span>
-                  <span className="font-bold gradient-text hidden sm:inline text-sm">Bharat Tech Atlas</span>
+                  <span className="font-bold text-brand-500 hidden sm:inline text-sm">Bharat Tech Atlas</span>
                 </>
               )}
             </button>
@@ -295,6 +295,15 @@ export default function App() {
         </div>
       </div>
 
+      {/* Data Disclaimer */}
+      {overview && (
+        <div className="absolute bottom-[90px] sm:bottom-[100px] left-1/2 -translate-x-1/2 z-10 pointer-events-none">
+          <p className="text-[10px] text-atlas-muted/70 text-center whitespace-nowrap">
+            Curated dataset of {overview.total_entities?.toLocaleString()} entities · India has 223,000+ DPIIT-registered startups · Source: DPIIT, Tracxn, Crunchbase
+          </p>
+        </div>
+      )}
+
       {/* Stats Bar */}
       <StatsBar overview={overview} viewportSummary={viewportSummary} featureCount={displayCount} loading={loading} isMobile={isMobile} />
 

frontend/src/components/AnalyticsPanel.jsx

@@ -34,7 +34,7 @@ export default function AnalyticsPanel({ onClose }) {
   }
 
   return (
-    <div className="fixed inset-0 z-40 flex items-center justify-center bg-black/50 backdrop-blur-sm p-2 sm:p-4">
+    <div className="fixed inset-0 z-40 flex items-center justify-center bg-black/50 p-2 sm:p-4">
       <div className="glass rounded-2xl shadow-2xl w-full max-w-3xl max-h-[85vh] flex flex-col overflow-hidden">
         <div className="flex items-center justify-between px-4 sm:px-6 py-3 sm:py-4 border-b border-atlas-border flex-shrink-0">
           <div>

frontend/src/components/EntityDetail.jsx

@@ -37,7 +37,7 @@ export default function EntityDetail({ entity, onClose, onEntityClick, isMobile
     }>
       <div className={
         isMobile
-          ? "bg-atlas-bg/95 backdrop-blur-xl border-t border-atlas-border rounded-t-2xl shadow-2xl flex flex-col overflow-hidden max-h-[80vh]"
+          ? "bg-atlas-bg/95 border-t border-atlas-border rounded-t-2xl shadow-2xl flex flex-col overflow-hidden max-h-[80vh]"
           : "glass rounded-2xl shadow-2xl flex flex-col overflow-hidden pointer-events-auto max-h-full"
       }>
         {/* Header */}

frontend/src/components/Sidebar.jsx

@@ -149,7 +149,7 @@ export default function Sidebar({ filters, facets, onFilterChange, onReset, onCl
     }>
       <div className={
         isMobile
-          ? "bg-atlas-bg/95 backdrop-blur-xl border-t border-atlas-border rounded-t-2xl shadow-2xl flex flex-col overflow-hidden max-h-[75vh]"
+          ? "bg-atlas-bg/95 border-t border-atlas-border rounded-t-2xl shadow-2xl flex flex-col overflow-hidden max-h-[75vh]"
           : "glass rounded-2xl shadow-2xl flex flex-col overflow-hidden pointer-events-auto max-h-full"
       }>
         {/* Mobile drag handle */}

frontend/src/components/StatsBar.jsx

@@ -10,55 +10,36 @@ export default function StatsBar({ overview, viewportSummary, featureCount, load
       label: 'In View',
       value: viewportSummary?.count || featureCount,
       icon: '📍',
-      gradient: 'from-blue-500/20 to-indigo-500/20',
-      border: 'border-blue-500/20',
-      glow: '#3B82F6',
       desc: 'Entities visible on map',
     },
     {
       label: 'Total',
       value: overview.total_entities,
       icon: '🏢',
-      gradient: 'from-indigo-500/20 to-purple-500/20',
-      border: 'border-indigo-500/20',
-      glow: '#6366F1',
       desc: 'All ecosystem entities',
     },
     {
       label: 'Startups',
       value: overview.by_type?.startup || 0,
       icon: '🚀',
-      gradient: 'from-emerald-500/20 to-teal-500/20',
-      border: 'border-emerald-500/20',
-      glow: '#10B981',
       desc: 'Active startups',
     },
     {
       label: 'Unicorns',
       value: overview.unicorn_count || 0,
       icon: '🦄',
-      gradient: 'from-orange-500/20 to-amber-500/20',
-      border: 'border-orange-500/20',
-      glow: '#F97316',
       desc: 'Valued >$1B',
-      highlight: true,
     },
     {
       label: 'Women-led',
       value: overview.women_led_count || 0,
       icon: '👩',
-      gradient: 'from-pink-500/20 to-rose-500/20',
-      border: 'border-pink-500/20',
-      glow: '#EC4899',
       desc: 'Women founders',
     },
     {
       label: 'Funding',
       value: overview.total_funding_display,
       icon: '💰',
-      gradient: 'from-amber-500/20 to-yellow-500/20',
-      border: 'border-amber-500/20',
-      glow: '#F59E0B',
       desc: 'Total raised',
       isText: true,
     },
@@ -81,35 +62,11 @@ export default function StatsBar({ overview, viewportSummary, featureCount, load
           {cards.map((card) => (
             <div
               key={card.label}
-              className={`
-                relative group rounded-2xl border ${card.border}
-                bg-gradient-to-br ${card.gradient}
-                backdrop-blur-xl shadow-lg
-                px-3 sm:px-4 py-2.5 sm:py-3 min-w-[100px] sm:min-w-[120px]
-                transition-all duration-200 ease-out
-                hover:scale-105 hover:shadow-xl
-                cursor-default
-              `}
+              className="relative rounded-2xl border border-atlas-border bg-atlas-bg/90 shadow-lg px-3 sm:px-4 py-2.5 sm:py-3 min-w-[100px] sm:min-w-[120px] cursor-default"
               title={card.desc}
-              style={{
-                background: `linear-gradient(135deg, rgba(30,41,59,0.9), rgba(15,23,42,0.95))`,
-              }}
             >
-              {/* Subtle glow on hover */}
-              <div
-                className="absolute inset-0 rounded-2xl opacity-0 group-hover:opacity-100 transition-opacity duration-300"
-                style={{
-                  boxShadow: `0 0 20px ${card.glow}25, inset 0 1px 0 ${card.glow}15`,
-                }}
-              />
-
-              <div className="relative flex items-start gap-2.5">
-                <span
-                  className="text-lg mt-0.5"
-                  style={{ filter: `drop-shadow(0 0 6px ${card.glow}50)` }}
-                >
-                  {card.icon}
-                </span>
+              <div className="flex items-start gap-2.5">
+                <span className="text-lg mt-0.5">{card.icon}</span>
                 <div>
                   <p className="text-base font-bold text-atlas-text leading-none tabular-nums">
                     {typeof card.value === 'number' ? card.value.toLocaleString() : card.value}
@@ -119,14 +76,6 @@ export default function StatsBar({ overview, viewportSummary, featureCount, load
                   </p>
                 </div>
               </div>
-
-              {/* Unicorn pulse indicator */}
-              {card.highlight && card.value > 100 && (
-                <div className="absolute -top-1 -right-1 w-2.5 h-2.5">
-                  <span className="absolute inline-flex h-full w-full rounded-full bg-orange-400 opacity-75 animate-ping" />
-                  <span className="relative inline-flex rounded-full h-2.5 w-2.5 bg-orange-500" />
-                </div>
-              )}
             </div>
           ))}
         </div>

frontend/src/index.css

@@ -24,17 +24,13 @@
 
 @layer components {
   .glass {
-    @apply bg-atlas-bg/80 border border-atlas-border backdrop-blur-xl;
+    @apply bg-atlas-bg/80 border border-atlas-border;
   }
   .gradient-text {
-    @apply bg-gradient-to-r from-brand-500 to-amber-400 bg-clip-text text-transparent;
+    @apply text-brand-500;
   }
   .unicorn-badge {
-    background: linear-gradient(90deg, #A855F7, #EC4899, #F97316, #A855F7);
-    background-size: 200% auto;
-    -webkit-background-clip: text;
-    -webkit-text-fill-color: transparent;
-    animation: shimmer 3s linear infinite;
+    @apply text-brand-500 font-semibold;
   }
   .scrollbar-thin::-webkit-scrollbar {
     width: 4px;
@@ -44,9 +40,6 @@
   }
 }
 
-@keyframes shimmer {
-  to { background-position: 200% center; }
-}
 @keyframes slideUp {
   from { transform: translateY(100%); }
   to { transform: translateY(0); }
@@ -54,7 +47,7 @@
 
 /* MapLibre popup overrides */
 .maplibregl-popup-content {
-  @apply !bg-atlas-bg/95 !border !border-atlas-border !rounded-2xl !p-0 !shadow-2xl backdrop-blur-xl;
+  @apply !bg-atlas-bg/95 !border !border-atlas-border !rounded-2xl !p-0 !shadow-2xl;
   max-width: 340px !important;
 }
 .maplibregl-popup-tip {

frontend/src/styles/index.css

@@ -79,10 +79,6 @@ body {
   from { opacity: 0; transform: translateY(8px); }
   to { opacity: 1; transform: translateY(0); }
 }
-@keyframes pulseGlow {
-  0%, 100% { box-shadow: 0 0 0 0 rgba(249, 115, 22, 0.4); }
-  50% { box-shadow: 0 0 0 8px rgba(249, 115, 22, 0); }
-}
 @keyframes countUp {
   from { opacity: 0; transform: translateY(10px); }
   to { opacity: 1; transform: translateY(0); }
@@ -98,34 +94,21 @@ body {
 .animate-count-up { animation: countUp 0.5s ease-out; }
 .animate-slide-up { animation: slideUp 0.3s ease-out; }
 
-/* Glass morphism — dark */
+/* Flat dark panel — no blur */
 .glass {
   background: rgba(30, 41, 59, 0.92);
-  backdrop-filter: blur(16px);
-  -webkit-backdrop-filter: blur(16px);
   border: 1px solid rgba(51, 65, 85, 0.6);
 }
 
-/* Gradient text */
+/* Plain brand color text */
 .gradient-text {
-  background: linear-gradient(135deg, #F97316 0%, #FB923C 50%, #FBBF24 100%);
-  -webkit-background-clip: text;
-  -webkit-text-fill-color: transparent;
-  background-clip: text;
-}
-
-/* Unicorn badge shimmer */
-@keyframes shimmer {
-  0% { background-position: -200% center; }
-  100% { background-position: 200% center; }
+  color: #F97316;
 }
 
+/* Unicorn badge — plain brand color */
 .unicorn-badge {
-  background: linear-gradient(90deg, #A855F7, #EC4899, #F97316, #A855F7);
-  background-size: 200% auto;
-  animation: shimmer 3s linear infinite;
-  -webkit-background-clip: text;
-  -webkit-text-fill-color: transparent;
+  color: #F97316;
+  font-weight: 600;
 }
 
 .line-clamp-2 {

requirements.txt

@@ -2,3 +2,4 @@ fastapi==0.115.0
 uvicorn[standard]==0.32.0
 pydantic==2.9.0
 aiofiles==24.1.0
+slowapi==0.1.9