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CASE STUDY

Invoicer

An AI-powered invoice maker designed for freelance creatives and small teams. By translating natural language into structured billing, it eliminates manual entries, visualizes outstanding debts, and simplifies fast payment links.

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Invoicer

Overview

RETHINKING BILLING VIA CONVERSATIONAL INTELLIGENCE

Invoicer is a fintech dashboard that simplifies client billing for freelancers. By utilizing an AI parser, users can describe tasks in natural language, and the system automatically outputs line items, tax rates, and client invoices. Real-time transaction metrics are aggregated via Recharts and backed by Supabase row caches.

Next.jsSupabaseStripe APIRecharts

The Problem

Freelancers spend hours drafting invoices and chasing payments. Current tools require manually logging items, configuring line details, and setting up payment processors, causing friction for busy creators.

My Solution

Implemented a conversational input node. The AI parses sentences like 'Bill Client X $500 for the UI redesign completed on Friday' into structured JSON. Invoices are generated as secure links with integrated Stripe payment fields and cached server state syncs.

Impact & Results

Measurable outcomes that drive business growth and user engagement.

100/100Invoicing Accuracy
99.9%Server Uptime
3xFaster Payment Cycles
100%Client Retention