Show HN: Chrome Extension for ChatGPT to organize conversations into folders https://ift.tt/mbySFQp

Show HN: Chrome Extension for ChatGPT to organize conversations into folders Hi HN, I'm Alex, a full-stack developer from Toronto, Canada. I recently built a Chrome extension that organizes ChatGPT conversations into folders, allowing users to sort and save important information for easy reference. The idea for this extension came from a friend who highlighted the lack of good (and affordable) ChatGPT organizers. Many existing tools were either low-quality or overpriced, so I decided to create one that was both reliable and accessible. I built the extension using plain JavaScript and developed a backend with Express to handle Google authentication. For storage, I used MongoDB, enabling all users with an account to save their folder structures and conversation data. Initially, I planned to charge $5 per month to cover costs since originally this extension was intended as a portfolio project addressing a real-world problem. However, just as I finished the main functionality and was about to implement payments, ChatGPT announced an official feature similar to one my extension was providing. Rather than continue competing in a market with an "official" solution, I decided to stop development. But I didn't want my work to go to waste, so I chose to release it for free, motivated by a desire to share it with the community. I made some changes to eliminate the backend. Now the extension stores all folder structures and content locally in Chrome storage. Luckily, I had some old code to reuse for this. The extension is now live on the Chrome Web Store. This project introduced me to a lot of new challenges with technologies I hadn’t used before, but I’m grateful for the experience and the skills I gained along the way. I hope you find it useful! Links to the extension and its website: https://ift.tt/4nkDmLX... https://ift.tt/TxpQd7S If you have any questions or suggestions, feel free to reach out in the comments or via email at georgepozdman@gmail.com. https://ift.tt/TxpQd7S March 11, 2025 at 04:41AM

Riding the Rails: San Francisco Cable Car Stamps

Riding the Rails: San Francisco Cable Car Stamps
By Kelley Trahan

Evening shot of a cable car on Powell Street with passengers, February 29, 1968 San Francisco's iconic cable cars aren't just a beloved tourist attraction. They are a symbol of the city's unique history and ingenuity. And they’ve appeared on two United States postage stamps. Let's take a journey through the history of these tributes and see how they came to be. The first ride: the 1971 cable car stamp The first cable car stamp was released in 1971. It was an 8-cent historic preservation stamp honoring the San Francisco cable cars. It showed the cable car's charm and was a small tribute to the...

Published March 10, 2025 at 05:30AM
https://ift.tt/Nwhu1qx

Show HN: I built a Figma plugin for quick data calculations https://ift.tt/tWdDjkA

Show HN: I built a Figma plugin for quick data calculations I lead design on a B2B SaaS product. It's quite data-heavy in places. Using placeholder content in data tables, checkout summaries and dashboards is a big no-no for us. It might seem like using random numbers saves time at first, but sooner or later there's documentation to write and plenty of clarifications to be made. It throws off customers during interviews – "hey, that's not really my sales target!". It confuses stakeholders at review time– "what's this data point supposed to be?" I built a Figma calculator plugin for my team so that they spend less time doing mental maths. It calculates sums, differences averages and percentages, and makes it easy to use real-looking data in designs. https://ift.tt/H1mRWyv March 10, 2025 at 07:11PM

Show HN: I built a free SVG Web site https://ift.tt/wEtsrZ9

Show HN: I built a free SVG Web site This has been an experiment to see if I could create everything using scripts and AI. If AI couldn't do it I'd get it to create the code such as API calls and so on. This websvg.com site was completely created using these AI tools. Including the DNS being applied, the Cloudflare Pages were automatically set up and the the web site was a Svelte 5 application generated by v0.dev and Cursor. Every image was generated in Midjourney and converted to SVG. I have now taken all of these scripts and can create a similar landing or directory site in less than a minute, provided I have the data. Anyway it's been fun. https://websvg.com/ March 10, 2025 at 01:50AM

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/KvXzOam

Show HN: Buildless CJS+ESM+TS+Importmaps for the Browser https://ift.tt/B4Q5Jh2 March 10, 2025 at 12:42AM

Show HN: A No-Nonsense Discord Timestamp Generator https://ift.tt/AeLw6yt

Show HN: A No-Nonsense Discord Timestamp Generator Looking for some tips on improvements, am I missing a feature or could I improve the UX somehow? Thanks! https://ift.tt/SCc1Z2I March 10, 2025 at 01:14AM

Show HN: Evolving Agents Framework https://ift.tt/J8rWf9s

Show HN: Evolving Agents Framework Hey HN, I've been working on an open-source framework for creating AI agents that evolve, communicate, and collaborate to solve complex tasks. The Evolving Agents Framework allows agents to: Reuse, evolve, or create new agents dynamically based on semantic similarity Communicate and delegate tasks to other specialized agents Continuously improve by learning from past executions Define workflows in YAML, making it easy to orchestrate agent interactions Search for relevant tools and agents using OpenAI embeddings Support multiple AI frameworks (BeeAI, etc.) Current Status & Roadmap This is still a draft and a proof of concept (POC). Right now, I’m focused on validating it in real-world scenarios to refine and improve it. Next week, I'm adding a new feature to make it useful for distributed multi-agent systems. This will allow agents to work across different environments, improving scalability and coordination. Why? Most agent-based AI frameworks today require manual orchestration. This project takes a different approach by allowing agents to decide and adapt based on the task at hand. Instead of always creating new agents, it determines if existing ones can be reused or evolved. Example Use Case: Let’s say you need an invoice analysis agent. Instead of manually configuring one, our framework: Checks if a similar agent exists (e.g., a document analyzer) Decides whether to reuse, evolve, or create a new agent Runs the best agent and returns the extracted information Here's a simple example in Python: import asyncio from evolving_agents.smart_library.smart_library import SmartLibrary from evolving_agents.core.llm_service import LLMService from evolving_agents.core.system_agent import SystemAgent async def main(): library = SmartLibrary("agent_library.json") llm = LLMService(provider="openai", model="gpt-4o") system = SystemAgent(library, llm) result = await system.decide_and_act( request="I need an agent that can analyze invoices and extract the total amount", domain="document_processing", record_type="AGENT" ) print(f"Decision: {result['action']}") # 'reuse', 'evolve', or 'create' print(f"Agent: {result['record']['name']}") if __name__ == "__main__": asyncio.run(main()) Next Steps Validating in real-world use cases and improving agent evolution strategies Adding distributed multi-agent support for better scalability Full integration with BeeAI Agent Communication Protocol (ACP) Better visualization tools for debugging Would love feedback from the HN community! What features would you like to see? Repo: https://ift.tt/3BZRAez https://ift.tt/3BZRAez March 9, 2025 at 10:21PM