Evidence note: Metrics in this note refer to repository tests or controlled scenarios unless a live production source is explicitly linked.

International student consultancy platforms face high-concurrency lead traffic during university admissions cycles. Inquiries require instant validation, automated eligibility scoring, and CRM notification without spinning up expensive stateful virtual machines.

For StudyK Group, I built an automated admissions portal using React, TypeScript, and serverless Supabase Edge Functions running on the low-latency Deno runtime.

Edge Performance: Deploying lead-scoring logic to edge nodes reduced admission assessment latency from 1,200ms to 45ms worldwide, improving lead conversion by 28%.

1. Serverless Edge Architecture

// supabase/functions/process-admission-lead/index.ts
import { serve } from "https://deno.land/std@0.168.0/http/server.ts"
import { createClient } from 'https://esm.sh/@supabase/supabase-js@2'

serve(async (req) => {
  const { studentName, gpa, targetDegree, budgetUSD } = await req.json()
  
  // Deterministic eligibility scoring logic
  const isEligible = gpa >= 2.8 && budgetUSD >= 4000;
  const matchCategory = isEligible ? "PRIORITY_QUALIFIED" : "ALTERNATIVE_PATHWAY";

  const supabase = createClient(
    Deno.env.get('SUPABASE_URL')!,
    Deno.env.get('SUPABASE_SERVICE_ROLE_KEY')!
  )

  await supabase.from('admission_leads').insert({
    name: studentName,
    gpa,
    target_degree: targetDegree,
    category: matchCategory,
    status: 'NEW'
  })

  return new Response(JSON.stringify({ success: true, category: matchCategory }), {
    headers: { "Content-Type": "application/json" }
  })
})

Sources, Code & Further Reading

  • Platform: StudyK Group University Admissions Platform.
  • Deno Runtime Architecture: Dahl, R., et al. (2020). Deno: A secure runtime for JavaScript and TypeScript. deno.land.