Case · 06 / Go get'em
Go get'em
- Competitive intelligence
- AI tool
- SaaS
- Shipped
- Next.js
My role
Solo product designer and developer. Defined the full product from narrative architecture and user flow to visual design, AI pipeline engineering, and deployment — treating an 8-hour constraint as a product design challenge, not a development task.
Project
Shipped a working AI-powered competitive analysis tool in one weekend sprint. Real Firecrawl + Claude Vision pipeline identifying competitors, capturing screenshots, and producing specific evidence-backed recommendations — deployed and live.
01
Overview
Go get'em is an AI tool that takes your SaaS landing page URL, identifies your top three competitors automatically, and uses Claude Vision to deliver specific, evidence-backed design recommendations — with real screenshots, exact copy comparisons, and scored dimensions across hero clarity, CTA strength, and social proof.
02
Process
Step 01 / 06
The process
Storyboarded the page as one continuous argument: you're losing but don't know why → manual comparison is broken → we show you exactly where → we tell you exactly what to fix → you act now. Every section and line of copy was made to ladder into that arc.
03
Shape
before
code
Shape before code
The page was a five-beat argument before it was a single component. Each section is one move in the arc — drawn as a wireframe first, so the structure carried the story and the code just dressed it.
Single-page scroll architecture · five beats
Swipe through the five beats →
04
Landing
page
Landing page
A cinematic dark scroll experience — a hero with a 3D blob and three editorial storytelling beats: Problem, Solution, Result. The whole page walks the visitor from "see where you fall behind" to "changes you can ship today" before they ever touch the tool.
05
URL
input
URL input
One field, one gesture. Drop a SaaS landing-page URL and the tool kicks off: Firecrawl scrapes the page, Claude identifies the top three direct competitors, and the vision pipeline benchmarks against them.
06
Analysis
results
Analysis results
Claude Sonnet 4.5 vision scores the page across six dimensions, 1–10, each backed by specific evidence and a concrete rewrite. Real output for Jira: 1/10 on Pricing Transparency (no pricing anywhere on the page), 6/10 on CTA Strength (generic "Sign up" vs Asana's "Get started · View demo"), 7/10 on Hero Clarity vs Linear's sharper positioning.
07
The
full
report
The full report
The first analysis is free — the full multi-page report sits behind a soft gate. "Don't stop at one page": drop your email for the complete breakdown, or subscribe for unlimited analyses. Mock Stripe stayed mock; the paywall was a scoping decision, not a build-out.
—
Final
thoughts
Final thoughts
This project showed what modern product development looks like when design, strategy, and AI work together.
The product was defined before it was built. User flows, positioning, monetisation, and technical direction were established upfront, creating a clear blueprint for execution. Once that foundation was in place, AI accelerated development, generating more than 95% of the code while product decisions remained firmly human.
The most important lesson was the value of focus. Every feature, interaction, and design decision was evaluated against a single question: does this make the core experience better? Maintaining that discipline allowed the product to move from idea to working solution quickly, without losing clarity or purpose.
This wasn't about building the most features. It was about building the right ones.
Because in product development, a focused product that solves a real problem will always create more value than a larger product that tries to solve everything.
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