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Marketing & Salesgoogle-ai-studiogemini

LinkNest: Self-Hosted Link-in-Bio, Vibe-Coded with Gemini

A self-hosted Linktree alternative: public profile page, admin dashboard, AI-generated link copy, a Discover feed, and click analytics.

LinkNest is a self-hosted take on the link-in-bio idea: instead of renting a slot on Linktree, you own the whole thing. The project ships two surfaces that talk to a real Postgres backend through Supabase: a public profile page at /:username that any visitor can open without logging in, and an authenticated admin dashboard where the owner controls every link, the theme, the analytics, and more. Nothing is hardcoded; links, avatars, and styling all live in the database behind Row Level Security. The public page is more than a button list. Each profile gets a fully customizable theme (background, button style, colors, font), an optional featured link, scheduled links that only appear inside a date window, and even optional password protection that gates the whole page. Sharing is engineered properly: server-rendered per-profile meta tags mean WhatsApp, Telegram, and X show an accurate branded preview card, and the preview image itself is generated on the fly with Satori, showing the owner's avatar initial, name, bio, and link count. The dashboard side is where it earns its keep: 7-day click analytics with Recharts charts and CSV export, a broken-link checker, and two Gemini-powered touches — AI-generated link descriptions that write your link copy for you, and a Discover tab that uses Gemini's Google Search grounding to surface trending articles related to the owner's bio. New accounts get a first-time setup wizard, and printable QR-code standees turn the profile into something you can put on a shop counter. What makes it worth featuring here is how it was built. The README's Overview section says it plainly: the project was vibe-coded in Google AI Studio using Gemini, starting from a written Product Requirements Document that defined the public page and dashboard flow, the Supabase schema, and the Row Level Security rules. It is one of three projects in the author's portfolio series — alongside WishBox and ForeverCard — deliberately demonstrating applied vibe coding by someone whose day job is Data Science, NLP, and GenAI agent engineering. It is still just starting out — the repository holds a single star as of October 2026 — but the demo is live and the stack is real: React 19, TypeScript, Vite 6, Tailwind CSS 4, Motion, Supabase, and the Gemini API.

V@VIBEFIX

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Marketing & Sales

JSON-LD Schema Generator

A 100% client-side JSON-LD schema generator for technical SEO — private, instant, vibe-coded by an SEO specialist.

A lightweight JSON-LD Schema Generator that runs 100% in the browser, vibe-coded by Vietnamese SEO specialist Vo Viet Hoang. It generates clean, ready-to-copy JSON-LD markup for Articles, Local Businesses and WebSites with instant validation and formatting. Because every byte is processed client-side in pure JavaScript, user inputs never touch a server — complete data privacy and zero latency. The author built it via LLM prompting to handle strict schema.org syntax, nested properties like author/publisher/address, and dynamic UI updates. Free to use at the demo link.

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Marketing & Salesclaude

SalesBriefAI

AI sales-research briefings: feed it a prospect and your product, get a tailored PDF with talk tracks and objection handling in minutes.

SalesBriefAI does pre-call research before you say hello. You feed it a prospect's details and what you sell, it pulls public data on the person and their company, and it produces a tailored PDF briefing focused on your product: the known facts, the context, and the likely objections — plus talk suggestions matched to the sales methodology your team actually uses. New accounts get 500 credits for roughly five briefings, no card required; after that it's pay-as-you-go with no subscription. The build story is the headline. The founder is a tech product manager, not a developer, and wrote in the Claude Project Showcase hub: "a live sales-research tool built entirely with Claude. I'm a tech product manager, not a dev, and Claude wrote every line of code, frontend and backend." Claude handled architecture, implementation, and even marketing positioning from start to finish — across what the author describes as 700+ pull requests and nearly 2,000 Linear issues. The site reports more than 2,000 custom sales briefings delivered. It's an honest end-to-end artifact of building with Claude: a real, revenue-adjacent SaaS with signup, credits, and paying users, not a demo. The roadmap note is interesting too — the author is exploring an MCP link so you could request research mid-meeting inside Claude or another assistant, asking the question and prepping for the call in one chat.

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Marketing & Salescursor

Launch Fast

多伦多亚马逊老卖家不会写代码，用 Cursor 48 小时做出生产级后端，如今月入 3 万美元。

Hasaam Bhatti 在多伦多做了近十年亚马逊 FBA，自己完全不懂技术。他的打法很聪明：先花两年时间收购了一个有几千名活跃卖家的卖家教练社群（LegacyX FBA），摸清大家最痛的点，然后用 Cursor 花了 48 小时——"Cursor carried the implementation entirely"——做出了一个生产级后端。分发问题在他动手之前就已经解决了。 Launch Fast 自称"亚马逊卖家的操作系统"：输入关键词或 ASIN，它就用独家的 A10–F1 评分给市场打分，再给出历史价格、BSR、营收、评论、广告 CPC 趋势、关键词对比、阿里巴巴供应商评分和全套财务建模，还带 Chrome 插件和 MCP 接口，让卖家自己的 AI agent 也能调用它的数据。目前 $30K 月收入，创始人把 48 小时上线、30 天 $10K 的全过程写在了 Indie Hackers 上。本项目由 VibeFix 编辑从公开渠道精选收录，版权归原作者所有。 - 验证方式：curl https://launchfastlegacyx.com/ 返回 200，Microlink 截图首页显示"Launch Fast / The Amazon seller operating system for better product decisions"，与项目相符。

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