Fauzi Abdillah
I specialize in crafting Programmatic SEO System
Ready for work
Fauzi is ready for their next project!
Re:Work is a Kanban-based project delivery workspace (i.e. Client Portal) built for freelancers and agencies who want to look like a proper studio from day one.
After you land a client, everything falls apart — briefs over email, files on Google Drive, feedback on many platforms, status updates nowhere.
Re:Work fixes that. One link, your client walks in, your team is already there, everything lives in one place.
What's inside:
- Multi-project sidebar — switch between clients instantly
- Kanban board with 5 columns: Backlog, WIP, Review, Revision, Done
- Every task has a brief, file attachments, comments, and a full audit trail
- Two-tab task detail — Details and History (who did what, when)
- Multi-role workspace — Owner, Team, Client with clean permission logic
- Email notifications on every action via Resend
- Invite-only client access per project
- Soft delete only — nothing ever gets lost
- Dark mode, Lucide icons, champagne gold accent
Remixing it:
Change one environment variable (OWNER_EMAIL) to your email, sign up, and it's your agency's workspace. That's the entire setup.
Built entirely with Anything. Designed for the Ship & Sell Remixathon.
Live demo: rework-demo.created.app (http://rework-demo.created.app)
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I turned the complete dataset from all 37 seasons of Guy Fieri's "Diners, Drive-ins and Dives" into a multi-taxonomy directory. Using WordPress custom post types and taxonomies, each restaurant connects across location, cuisine, and season — multiplying 1,500 restaurants into thousands of browsable category pages.
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I built the programmatic directory system for Australia's largest pet breeder directory. The 3-dimensional matrix — pet type × breed × location — generates 25,000+ unique pages, each with verified breeder listings, adoption alternatives, and multi-directional geographic interlinking. Organic search drives nearly 60% of all traffic.
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I designed and built the entire pSEO content system for this AI dating coach app. The dual-channel strategy includes a "UGC-style" dating questions feed generated via AI and a blog section using keyword variant farming across platforms (Tinder, Bumble, Snapchat, etc.) — all funneling to App Store installs.
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I built a programmatic landing page system for this Danish home improvement lead-gen platform. By crossing 27 trade categories with 200+ Danish cities, I generated ~5,000 unique pages — each enriched with real Google Business listings, localized FAQs, and cross-linked service grids.
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