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Cover image for Wireframes are where the real
Wireframes are where the real UX decisions happen — before any colour, font, or component touches the file. This is Taskora, a productivity dashboard wireframe I designed around a single question: what does a user actually need to see the moment they open this app? The overview stats sit at the top so your day's status is never buried. The task list defaults to Today, not All Tasks, because most productivity tools overwhelm you on open. Calendar and projects stay visible but secondary — supporting context, not competing for it. Every layout choice here has a reason behind it. That's what wireframing is for. Currently open to UX wireframing projects starting at $200 — feel free to check out my Wireframing service or drop a message if you want to chat about your product.
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Cover image for CrawlX CrawlX crawls a website, surfaces
CrawlX CrawlX crawls a website, surfaces its technical SEO problems, and explains each one in plain language with a suggested fix. Cloud-native, fast, and built for teams. I built it from a blank page: product, brand, and engineering. The gap The technical SEO crawler market is led by Screaming Frog, a desktop tool with a dated interface, no AI, and a one-person, one-machine model. No sharing, no assigning issues, no client portals. At the other end, enterprise crawlers like Lumar are fast but cost $15k to $50k a year. That left a clear gap: enterprise speed, a modern interface, AI built in, and pricing a small team can actually afford. Positioning Linear meets Datadog for SEO. A crawler that does not just hand you a list of errors. It tells you what each one means and how to fix it. What I built 1. Product, engineering, and brand, end to end. 2. 400+ SEO checks across 12 analysis modules 3. An AI layer on the Claude API: plain-English explanations, auto-generated fix code, and a conversational assistant you can ask about your own crawl 4. Six core screens, including a live crawl view, a Kanban issue explorer, a site-architecture visualizer, and a white-label report builder 5. An AI search-readiness module that checks whether pages are built for AI answer engines, a gap no competitor covers 6. Rust crawl workers hitting 350 to 450 URLs per second, matching enterprise tools, with ClickHouse handling billion-row crawl data What makes it different 1. AI intelligence no legacy crawler offers: explanations, fix code, and a chat assistant, not static hints 2. Enterprise-class crawl speed at small-team pricing 3. Team-first: assign issues to developers, share client portals, comment in place, instead of one license per machine 4. Built into the pipeline: CI/CD on GitHub Actions and Vercel catches SEO regressions before they ship
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