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.