This document highlights the key features, bug fixes, and enhancements implemented in the Lead Capture System, built using React, TypeScript, Supabase, and AI-driven email automation.
File: src/components/LeadCaptureForm.tsx
Severity: Critical
Status: ✅ Resolved
- Leads were not being saved to the database.
- Form submissions appeared successful but data wasn't persisted.
- No error handling in place for database insertion failures.
The function to insert leads into Supabase was missing.
const { data: insertedData, error: insertError } = await supabase
.from("leads")
.insert({
name: formData.name,
email: formData.email,
industry: formData.industry,
})
.select()
.single();
if (insertError) {
console.error("Error inserting lead:", insertError);
return;
}
- ✅ Leads are now correctly stored in the database.
- ✅ Proper error handling implemented for database operations.
- ✅ Maintains data consistency and reliability.
File: src/components/LeadCaptureForm.tsx
Severity: High
Status: ✅ Resolved
The email confirmation function was triggered multiple times, resulting in:
- Duplicate confirmation emails
- Increased API usage and costs
- Negative impact on user experience
The email function was invoked before confirming successful database insertion.
The function execution flow was reorganized:
try {
// Step 1: Insert lead into database
const { data: insertedData, error: insertError } = await supabase...
if (insertError) return; // Abort if insertion fails
// Step 2: Invoke email function only upon success
const { error: emailError } = await supabase.functions.invoke(...)
} catch (error) {
console.error("Error in form submission:", error);
}
- ✅ Emails are now sent only after a successful database operation.
- ✅ Eliminated duplicate emails.
- ✅ Enhanced error handling and reliability.
File: supabase/functions/send-confirmation/index.ts
Severity: Medium
Status: ✅ Resolved
OpenAI responses included full email formats, leading to:
- Misaligned email templates
- Poor formatting in outgoing messages
- Inconsistent user experience
The prompt provided to the AI was too vague, lacking restrictions on content structure.
// Updated system prompt for clarity
content: 'Write ONLY the email body content (no subject line, no signature, no email formatting). Create energetic, inspiring content that gets people excited about revolutionizing their industry. Keep it under 150 words total. Focus on the personalized message only.'
// Added post-processing cleanup
content = content
.replace(/^Subject:.*$/gm, '')
.replace(/^Best,.*$/gm, '')
.replace(/^Cheers,.*$/gm, '')
.replace(/^\[Your Name\].*$/gm, '')
.replace(/^Innovation Community Team.*$/gm, '')
.trim();
- ✅ Clean, consistently formatted email body content
- ✅ Improved template rendering
- ✅ Better and more professional email delivery
File: src/components/LeadCaptureForm.tsx
Severity: Medium
Status: ✅ Resolved
- No visual loading indicator during submission
- Users weren’t receiving feedback on errors
- Missing success notifications
- Displayed count was from Zustand session state instead of total database records
There was no implementation for loading states, toast feedback, or accurate lead counting.
// Introduced loading state
const [isLoading, setIsLoading] = useState(false);
// Integrated toast notifications
import { toast } from "@/hooks/use-toast";
// Improved error display for duplicate entries
if (insertError.code === "23505") {
toast({
title: "Error inserting lead",
description: "Email already exists",
variant: "destructive",
});
}
// Updated total community count logic
const { count: totalLeads, error: countError } = await supabase
.from("leads")
.select("*", { count: "exact", head: true });
- ✅ Users now see a loading spinner during submission
- ✅ Clear and informative feedback messages on success/failure
- ✅ Accurate and real-time community count shown
- ✅ Smoother, more intuitive user interaction