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LoadingPublic builds, experiments, stack proof, and usage feedback from developers using AI tools in the wild.
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Real projects are now dense enough for a public weekly league. Rank comes from proof quality, stack clarity, freshness, and feedback signals.
These are curated starter examples, not fabricated community proof. Use them to pick a stack, compare options, and publish your own build when it is real.
Tagged build paths move browsers into the public workbench first, where save and share can happen before login.
Builder proof
Use public builds as the top of the proof graph, then connect private product events and account context for enterprise adoption reporting.
Free company workspaces require a work email. There is no pricing or self-checkout; paid enterprise access is provisioned manually after a sales call and agreement.
A bucket list is a compilation of goals, experiences, or achievements a person hopes to accomplish in their lifetime. The phrase is derived from the idiom "kick the bucket," which is a colloquial term for dying. [1, 2] Origin of the Phrase While lists of life goals have existed for a long time, the specific term "bucket list" was coined in 1999 by screenwriter Justin Zackham. He created a personal "things to do before I kick the bucket" list, which he shortened to "bucket list". The term was subsequently popularized by his 2007 film starring Jack Nicholson and Morgan Freeman. [1, 2] Typical Examples Bucket list items typically focus on meaningful life milestones rather than daily errands. Common examples include: [1, 2, 3] Travel: Visiting specific landmarks, seeing the Northern Lights, or exploring a new continent. Adventure: Skydiving, scuba diving, or running a marathon. Personal Growth: Learning a new language, writing a book, or starting a business. Milestones: Reaching a certain career goal or seeing a favorite band live. [1, 2]
Built with
Public-source project proof for Chat LangChain. The project demonstrates a documentation assistant agent, a public chat surface, LangChain agent patterns, and a Next.js frontend. Curated as public source evidence, not an ownership claim.
Built with
Public-source project proof for Dify. The repo and public site show an open-source platform for building LLM applications with workflow orchestration, RAG, agent capabilities, and model management. Curated as public source evidence, not an ownership claim.
Built with
Public-source project proof for Flowise. The repo and public site show a visual AI agent and LLM workflow builder with LangChain and OpenAI ecosystem signals. Curated as public source evidence, not an ownership claim.
Built with
Public-source project proof for GPT Researcher. The project ships an autonomous research workflow with repo evidence, docs, MCP-oriented extension points, and a public product site. Curated as public source evidence, not an ownership claim.
Built with
OpenAI APIModel APIs for assistants, embeddings, retrieval, and production AI apps.LangChainFramework for composing agents, RAG workflows, retrieval, and tool calls.Public-source project proof for Open WebUI. The repo and public site show a self-hosted AI platform for local and cloud model interfaces, RAG workflows, and OpenAI-compatible APIs. Curated as public source evidence, not an ownership claim.
Built with
Public-source project proof for Supabase AI Writer. The repo documents a working AI writing assistant using Supabase project configuration, OpenAI, and a Next.js app surface. Curated as public source evidence, not an ownership claim.
Built with
Public-source project proof for the Vercel AI Chatbot template. The repo and template page show a production-oriented AI chat app using Next.js, Vercel deployment primitives, model provider routing, and durable chat storage. Curated as public source evidence, not an ownership claim.
Built with
Next.jsReact framework for production web apps, dashboards, and SaaS products.
VercelFrontend cloud with preview deployments, serverless functions, and Next.js hosting.OpenAI APIModel APIs for assistants, embeddings, retrieval, and production AI apps.
Imported from GitHub for a live builder workflow test. Repomix turns a repository into an AI-readable package for LLM review, context sharing, and coding-agent workflows. Imported signals: README found, package.json found, repo URL validated, demo URL detected. What I would publish as a developer: a concise project proof page with repo, demo, stack notes, and launch context. The raw README import was cleaned up before publishing.
Turn a fresh repo, demo, Show HN, or hackathon launch into a public proof page with stack notes, launch context, and real build evidence.
Built with
Build a search experience that understands intent, supports filters, and can move from local prototype to hosted vector search.
Built with
Route a task through planning, tool calls, validation, and human review without losing observability.
RAG support build path
Start from a support workflow with retrieval, citations, and tracing instead of a blank project page.
