Cesar Zeppini
Founder @ Found. Building AI-powered software that scale.
Most bookmark products fail at the exact moment people need them most: after a few hundred saved links, everything turns into a private landfill of vague titles, nested folders, and dead URLs. The link survives, but the reason for saving it disappears. Comparing sources means reopening every page and reading from scratch. I built Logged to change that outcome: a personal archive that stores the actual content and context behind each bookmark, then lets users query the whole thing through AI.
Logged is deliberately a single-user product, not a team workspace. That constraint mattered. The job was not collaboration, permissions, or shared knowledge bases. The job was making one person’s messy, long-running archive useful again without asking them to rebuild it from zero. So I kept the user’s existing folder structure exactly as it was and layered enrichment on top. That removed the biggest adoption barrier: nobody reorganizes 800 bookmarks just to test a new tool.
From there, every feature fixed a specific failure in traditional bookmarking. Each saved link can carry a memory note, so users stop asking “why did I save this?” AI-generated tags and user tags sit on top of folders, which means retrieval no longer depends on remembering a page title that never described the value of the page. Dead link detection automatically moves broken URLs into a separate list, which keeps the archive current instead of quietly decaying.
The most important product decision was also the most expensive one: Logged does not just save a pointer. It stores full metadata and up to 100,000 words of scraped content from each link. That changed the archive from a list of references into a searchable corpus. It costs more in storage and processing, and it is the reason the product works. Without that content layer, chat is decoration. With it, the archive becomes answerable.
That is where Atlas comes in. I designed Atlas as the interface to the archive, not a chatbot pasted onto a bookmark list. Users can ask questions across saved sources, compare multiple sites, or retrieve something they only half remember saving, all without opening the original links. That turns research from a repetitive tab-opening exercise into a single query. For researchers compiling sources on one topic, that means instant comparison across saved material. For self-directed learners with courses, docs, and tutorials spread across dozens of tabs, it means the material stays usable after the tab is closed.
We built Logged in 4 weeks with custom product design by a unicorn designer, development in Claude Code, OpenAI agents for the internal research agent, and Supabase for database and storage. The short timeline forced sharp product decisions early, and the product shipped live with a Chrome extension, full brand, and complete product design.
The outcome is simple and concrete: archives hold thousands of bookmarks and stay navigable, where traditional folder systems break down after a few dozen. Users do not browse a link cemetery anymore. They talk to a memory tool.
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Peerless Branding, Website and Product Design
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Garage48 is a hackathon event that happens in Europe, where founders and tech people get together to build MVPs and digital products in 48 hours.
As I mentor design at those events for the past 10 years, I realised that now with AI-powered development tools, we could create an internal tool to manage those events with class, automation and remove a lot of the current headaches.
After designing the first concept, we used a couple of weeks to develop the full product, and we are now running every hackathon within the tool.
YOU can be the next success story!
Visit found.fast (https://found.fast) and check it out.
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Serif.ing (https://Serif.ing) is the tool that brings your already-loved fonts to one place.
Many designers have the problem of choosing fonts for a new brand or product, because local fonts are notoriously hard to be visualized properly.
Serif.ing (https://Serif.ing) allows an instant connection to your local fonts, and empowers you to search, filter, combine, use your own brand colors and choose your own curated fonts. Think Google fonts, but for your local files.
The fun part? The first iteration of this product took me 45 minutes with AI-powered development. Can you imagine what we can deliver together with 4 weeks time?
So visit serif.ing (https://serif.ing) and test it out, it is FREE!
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