Video Streaming & Social Media Analytics Dashboard Templates
Video streaming platforms and social media analytics tools are high-growth SaaS categories. Streaming platforms require video upload, transcoding, player integration, and content management. Analytics dashboards need data aggregation, real-time visualization, and export capabilities.
Both types of applications benefit from purpose-built templates that handle the complex infrastructure.
Video Streaming Platform Features
A video streaming template includes:
- Video upload with transcoding
- Adaptive bitrate streaming (HLS)
- Video player with controls
- Channel and playlist management
- User subscriptions
- Watch history and analytics
- Comment and engagement features
Social Media Analytics Features
An analytics dashboard template provides:
- Multi-platform data aggregation
- Real-time metrics dashboard
- Custom report generation
- Export to PDF and CSV
- Team collaboration
- Scheduled reporting
The Analytics Dashboard template includes data visualization and reporting features.
Video Upload with Transcoding
// app/api/videos/upload/route.ts
import { NextResponse } from 'next/server'
import { auth } from '@/lib/auth'
import { prisma } from '@/lib/prisma'
export async function POST(req: Request) {
const session = await auth()
if (!session?.user) return NextResponse.json({ error: 'Unauthorized' }, { status: 401 })
const formData = await req.formData()
const file = formData.get('file') as File
if (!file) return NextResponse.json({ error: 'No file provided' }, { status: 400 })
// Upload to storage provider (S3, Cloudflare R2, etc.)
const buffer = Buffer.from(await file.arrayBuffer())
const key = `videos/${session.user.id}/${Date.now()}-${file.name}`
// In production, upload to your storage provider and trigger async transcoding
const video = await prisma.video.create({
data: {
userId: session.user.id,
title: formData.get('title') as string || file.name,
filename: file.name,
fileSize: file.size,
mimeType: file.type,
status: 'processing',
},
})
return NextResponse.json({ id: video.id, status: 'processing' })
}Analytics Dashboard Widget
'use client'
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer, Legend } from 'recharts'
interface AnalyticsWidgetProps {
title: string
data: { date: string; value: number; previous?: number }[]
dataKey: string
color?: string
}
export function AnalyticsWidget({ title, data, dataKey, color = '#6366f1' }: AnalyticsWidgetProps) {
return (
<div className="rounded-xl border bg-white p-6">
<h3 className="text-sm font-semibold text-gray-700">{title}</h3>
<div className="mt-4 h-64">
<ResponsiveContainer width="100%" height="100%">
<LineChart data={data}>
<CartesianGrid strokeDasharray="3 3" stroke="#f0f0f0" />
<XAxis dataKey="date" stroke="#888" fontSize={12} />
<YAxis stroke="#888" fontSize={12} />
<Tooltip />
<Legend />
<Line
type="monotone"
dataKey={dataKey}
stroke={color}
strokeWidth={2}
dot={false}
/>
</LineChart>
</ResponsiveContainer>
</div>
</div>
)
}Build your video or analytics platform with the Analytics Dashboard template.
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