Best of OpenAI — June 2025

  1. 1
    Video
    Avatar of youtubeYouTube·51w

    Build & Sell n8n AI Agents (8+ Hour Course, No Code)

    A comprehensive 8+ hour course teaching beginners how to build and monetize AI agents using n8n, a visual no-code automation platform. The course covers setting up n8n, understanding the difference between AI workflows and AI agents, connecting to APIs like OpenAI, working with data types and JSON, and building practical automations. The instructor claims to have generated over $500,000 in revenue through AI agent development and provides step-by-step guidance for creating 15+ AI automations during the free trial period.

  2. 2
    Article
    Avatar of javarevisitedJavarevisited·48w

    5 Best Udemy Courses to Build AI-Powered SaaS Products in 2025

    A curated list of 5 Udemy courses for building AI-powered SaaS applications in 2025. The courses cover full-stack development with technologies like OpenAI GPT, LangChain, Next.js, React, and Stripe for payments. Topics include generative AI integration, RAG workflows, automation with n8n, and complete SaaS product development from ideation to deployment. Each course focuses on practical, hands-on projects for creating monetizable AI applications.

  3. 3
    Article
    Avatar of thevergeThe Verge·50w

    Sam Altman claims an average ChatGPT query uses ‘roughly one fifteenth of a teaspoon’ of water

    OpenAI CEO Sam Altman claims that an average ChatGPT query consumes approximately 0.34 watt-hours of energy and 0.000085 gallons of water (roughly one-fifteenth of a teaspoon). These unsourced statistics were shared in a blog post about AI's future impact. The claims come amid growing scrutiny over AI's environmental costs, with researchers predicting AI could consume more power than Bitcoin mining by year-end. Previous studies have shown significant variation in AI energy consumption depending on data center location and specific use cases.

  4. 4
    Article
    Avatar of atomicobjectAtomic Spin·51w

    Tips & Tricks for Better AI Prompts

    Effective AI prompt engineering requires structured formatting with clear sections like Instructions, Context, and Examples. Keep prompts concise rather than verbose, as AI models excel at inferring from limited examples. Using markdown-style sectioning and asking AI to help craft system prompts can significantly improve response accuracy and reliability.

  5. 5
    Article
    Avatar of wheresyouredWhere's Your Ed At·47w

    Make Fun Of Them

    A scathing critique of AI industry leaders like Sam Altman, Sundar Pichai, and Satya Nadella, arguing they give meaningless answers in interviews and are building an unsustainable industry. The author calculates that despite $370+ billion in investments and capital expenditures, the entire generative AI industry generates less than $39 billion in revenue. The piece calls for journalists to ask tougher questions and stop treating tech CEOs with undeserved reverence, suggesting these leaders are not the geniuses they're portrayed as but rather ineffective managers presiding over declining product quality.

  6. 6
    Video
    Avatar of youtubeYouTube·50w

    How to Clone ANY Web App in Minutes Using AI (No Coding Needed!)

    A step-by-step guide demonstrating how to clone web applications using AI tools without writing code. The tutorial covers using Lovable AI to generate app structure from screenshots, integrating Supabase for backend functionality, securing API keys, adding authentication, and publishing the final application online. The example shows cloning a text-to-speech application similar to ElevenLabs, complete with user login, database storage, and custom features.

  7. 7
    Video
    Avatar of youtubeYouTube·50w

    How to Build AI Agents in n8n for Beginners! (Full n8n Guide)

    A comprehensive beginner's guide to building AI agents using n8n, covering the fundamentals of workflow automation, the difference between automations and agents, and hands-on tutorials for creating weather reporting agents. The guide walks through setting up triggers, actions, HTTP requests, code nodes, and integrating AI models with tools like OpenAI and Gmail to create dynamic, conversational agents that can perform tasks and access external data sources.

  8. 8
    Video
    Avatar of fireshipFireship·48w

    OpenAI is ruthless...

    A Google-backed AI hardware startup called IO is suing OpenAI's newly acquired company (also named IO) for trademark infringement. The lawsuit alleges that Sam Altman and Johnny Ive's team met with the original IO company multiple times, viewed their technology demos, declined investment opportunities, but then proceeded to develop competing voice-controlled AI hardware under the same name. The case highlights the competitive tensions between OpenAI and Google in the AI hardware space, where previous attempts like Rabbit and Humane Pin have struggled to gain market traction.

  9. 9
    Video
    Avatar of TechWithTimTech With Tim·51w

    How To Build a FastAPI & React Full Stack App | Clerk, Databases, LLMs & More

    A comprehensive guide to building a full-stack application using FastAPI for the backend and React for the frontend. The tutorial covers implementing authentication with Clerk, setting up databases with SQLAlchemy, integrating OpenAI's API for generating coding challenges, and creating a complete user interface with routing and state management. The project demonstrates building a coding challenge generator with user quotas, question history, and multiple-choice questions powered by AI.

  10. 10
    Article
    Avatar of phProduct Hunt·51w

    Tiptap AI Agent: Add Cursor-like AI agent to your rich text editor in minutes

    Tiptap AI Agent enables developers to quickly add Cursor-like AI functionality to rich text editors. The solution eliminates boilerplate code and allows AI to read and edit documents based on user tasks. It supports OpenAI or custom LLM stacks, includes multiplayer capabilities, and offers full customization options for easy integration.

  11. 11
    Article
    Avatar of collectionsCollections·51w

    Top Udemy Courses to Master Artificial Intelligence and Agentic AI Engineering in 2025

    Udemy offers comprehensive AI courses for 2025, ranging from beginner-friendly Python-based AI development to advanced Agentic AI engineering. Beginner courses cover machine learning fundamentals, generative AI tools like ChatGPT and DALL-E, and practical business applications. Advanced courses focus on autonomous AI agents using frameworks like LangGraph, CrewAI, AutoGen, and OpenAI Agents SDK, teaching developers to build production-ready multi-agent systems capable of reasoning, planning, and collaboration.

  12. 12
    Article
    Avatar of nordicapisNordic APIs·51w

    5 Top Alternatives to OpenAI API

    Five powerful alternatives to OpenAI's API are explored: Anthropic's Claude excels in safety and conversational abilities for enterprise use; Mistral/Mixtral offers open-weight models with high performance and local hosting options; Meta's LLaMA provides strong customization for research and domain-specific applications; DeepSeek specializes in multilingual support with cost-effective deployment; and GPT-J/GPT-NeoX delivers fully open-source solutions for privacy-focused applications. Each alternative offers distinct advantages in terms of control, cost, performance, or specialized features, allowing developers to choose based on their specific requirements for AI integration.

  13. 13
    Article
    Avatar of hnHacker News·47w

    metabase/dataset-generator: AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards

    An AI-powered dataset generator that creates realistic synthetic data for demos, learning, and dashboards. Uses OpenAI GPT-4o to generate data specifications and Faker.js for actual data creation. Features include conversational prompt builder, real-time preview, CSV/SQL export options, and one-click Metabase integration for data exploration. Built with Next.js and Docker, offering both single table and star schema options.

  14. 14
    Article
    Avatar of github_updatesGitHub Changelog·48w

    Upcoming deprecation of o1, GPT-4.5, o3-mini, and GPT-4o

    GitHub Copilot is deprecating several OpenAI models including o1, GPT-4.5, o3-mini, and GPT-4o between July and August 2025. Users should migrate to suggested alternatives like OpenAI o3, GPT-4.1, and o4-mini. Enterprise administrators may need to update model policies to enable access to replacement models through Copilot settings.

  15. 15
    Article
    Avatar of phpdevPHP Dev·48w

    NeuronAI ADK: PHP Framework for supercharge Your PHP Apps with Autonomous AI Agents

    NeuronAI ADK is an open-source PHP framework designed specifically for integrating AI agents into PHP applications. Built natively for PHP 8.1+, it supports popular frameworks like Laravel, Symfony, and WordPress, connects to various LLM providers including OpenAI and Claude, and includes features like RAG implementation, built-in tools, scaling capabilities with Redis and RabbitMQ, and comprehensive observability options.

  16. 16
    Article
    Avatar of phProduct Hunt·50w

    VibeKit: Run coding agents in a secure sandbox

    VibeKit is an open-source TypeScript SDK that enables developers to run AI coding agents like OpenAI Codex and Claude within secure sandboxed environments. The platform allows agents to safely write code, install packages, and create pull requests while providing built-in streaming capabilities, asynchronous task handling, and telemetry features. Released under MIT license with zero vendor lock-in.

  17. 17
    Article
    Avatar of baeldungBaeldung·51w

    A Guide to Embeddings Model API in Spring AI

    Spring AI's embeddings model API provides an abstraction layer for integrating text embedding capabilities into Java applications. The tutorial covers the core API components including EmbeddingModel, EmbeddingRequest, EmbeddingResponse, and Embedding classes. It demonstrates both auto-configuration and manual configuration approaches for integrating OpenAI's embedding models, showing how to convert text into high-dimensional vector representations that AI models can process for semantic understanding.

See all OpenAI archives