I rebuilt an AI startup's landing page. here's what actually went into it.
An AI startup's landing page was completely rebuilt to enhance user experience and clarity. The new design features an animated hero section, a tabbed department explorer, and a live agent console UI. The project was completed in under four weeks, ensuring that the technical aspects were accessible to non-developers.
- ▪The client operates an AI agent platform for D2C brands with over 200 agents across nine departments.
- ▪The original website was minimal, consisting of just a paragraph and a contact form.
- ▪The new landing page was developed using Next.js, TypeScript, Tailwind, and GSAP, focusing on user-friendly design.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/yasharya/i-rebuilt-an-ai-startups-landing-page-heres-what-actually-went-into-it-3346 |
| Publication time | Tue, 26 May 2026 11:26:21 +0000 |
| Retrieval time | 2026-05-26T11:37:48.652Z |
| Last seen | 2026-05-26T11:37:48.652Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Z44PpmzyMg5G |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3865057) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Yash Arya Posted on May 26 I rebuilt an AI startup's landing page. here's what actually went into it. #ai #webdev #showdev #nextjs The brief The client runs an AI agent platform for D2C brands — 200+ agents across 9 departments. The product was solid. The website was one paragraph and a contact form. They knew it needed work. They just hadn't gotten to it. What we built Full rebuild in Next.js + TypeScript + Tailwind + GSAP.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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