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Hey HN! I've built a simple application that let's you pull data like price, moving averages, stop-losses etc. for your favorite stocks. I always found myself looking up the same things (on yahoo finance, trading platforms etc.), so I wanted an easy way to fetch the data.

It's still baby steps - right now you cannot specify the data you want, and it only supports US stocks, but it's a start!

I'd love to hear from you what data and functionalities could be useful for you to have access to, so I can continue improving on this :)

If you input your own stock tickers, it generates a new url that you can share with others. Like here's my current portfolio: https://numeric-replica-441407-p8.ew.r.appspot.com/portfolio...

Best,

Comments URL: https://news.ycombinator.com/item?id=42164178

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Article URL: https://hachyderm.io/@rationaldoge/113442601741099044

Comments URL: https://news.ycombinator.com/item?id=42164177

Points: 2

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Article URL: https://sites.research.google/floods/l/0/0/3

Comments URL: https://news.ycombinator.com/item?id=42164176

Points: 2

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Hey HN,

If you've ever tried to explore GitHub topics and found that the platform doesn't exactly let you explore repositories that span multiple topics, you're not alone. While GitHub allows you to search by a single topic, it doesn't natively provide a way to search for repositories at the intersection of multiple topics. That can make it hard to discover more nuanced projects that fall into overlapping areas of interest.

To solve this, I’ve developed GitHub Topics Explorer. This allows you to combine multiple topics and explore the repositories that match all of those topics, giving you much more granular results in your search for perfect tool , framework or app.

Key Features: Multi-Topic Search: Combine multiple topics (e.g., machine-learning + deep-learning + python) to find repositories that fit all of your search criteria. Granular Filtering: Focus on more specific intersections of topics and discover projects that you wouldn’t find with single-topic searches. Simple Interface: Just input your topics and hit search to get a refined list of repositories that fit your criteria.

Why This Is Useful: Better Discovery: For developers who are interested in niche or specific intersections of technologies (e.g., blockchain + machine-learning), this tool enables more precise exploration than GitHub’s built-in search. Targeted Research: Researchers, hobbyists, and developers can now more easily find repositories that align with a multi-faceted set of interests, improving the chances of discovering useful or related projects.

Community and Collaboration: Finding repositories at the intersection of multiple topics can foster collaboration between people working on similar but distinct areas of interest.

Example Use Cases: Searching for repositories that deal with both WebAssembly and Rust. Finding machine learning projects that also incorporate Natural Language Processing (NLP). Exploring open-source software that spans both data-science and cloud-computing.

If you're someone who’s limited by GitHub's current topic search, give this tool a try and let me know what you think! I’d love feedback, suggestions, and ideas for how to make it even more useful.

Feel free to play around with the search functionality. I present to you the Triton for Repo Searches! Happy coding!

https://githubtopics.cloudninelabs.site/

Comments URL: https://news.ycombinator.com/item?id=42164169

Points: 2

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Article URL: https://htmx.org/essays/you-cant/

Comments URL: https://news.ycombinator.com/item?id=42164154

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Article URL: https://github.com/veloplanner/map-matrix

Comments URL: https://news.ycombinator.com/item?id=42164141

Points: 2

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Article URL: https://arxiv.org/abs/2411.02408

Comments URL: https://news.ycombinator.com/item?id=42164122

Points: 1

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Article URL: https://wanderingthru.com/why-are-indian-and-african-animals-so-similar/

Comments URL: https://news.ycombinator.com/item?id=42164120

Points: 2

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Article URL: https://gitreceipt.vercel.app/

Comments URL: https://news.ycombinator.com/item?id=42164116

Points: 1

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Article URL: https://twitter.com/johnrushx/status/1857602481372672167

Comments URL: https://news.ycombinator.com/item?id=42164113

Points: 1

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Article URL: https://www.theguardian.com/world/2024/nov/17/it-has-been-a-year-since-i-felt-joy-paul-sagar-on-coming-to-terms-with-the-climbing-accident-that-paralysed-him

Comments URL: https://news.ycombinator.com/item?id=42164108

Points: 2

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Article URL: https://quuxplusone.github.io/blog/2024/09/04/the-game-is-flawed/

Comments URL: https://news.ycombinator.com/item?id=42164107

Points: 1

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Article URL: https://www.raspberrypi.com/news/build-your-own-handheld-zx-spectrum-with-raspberry-pi-pico/

Comments URL: https://news.ycombinator.com/item?id=42164104

Points: 2

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Article URL: https://twitter.com/lordofproducts/status/1858139198881960445

Comments URL: https://news.ycombinator.com/item?id=42164103

Points: 3

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Article URL: https://www.wsj.com/tech/tik-tok-byte-dance-value-9796a8d4

Comments URL: https://news.ycombinator.com/item?id=42164072

Points: 1

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Hey I asked ChatGPT to chat with me about something that interested it.

"One concept I find endlessly fascinating is emergent complexity"

It went on to describe it adequately - flocks of birds, cellular automata e.g. Conway's Game of Life. And then the human brain - just neurons firing signals, but we get imaginary worlds and complex thought. Even murder mystery plots! Then it made a cute parenthetical phrase - I'm looking at you!

See, I'd chatted with it about some difficulties I had with a plot, and ways to handle sensitive topics. Months ago. And it remembered, and worked it into a free-form response to a non-question.

What do you get, when you ask your AI to chat about something that interests it?

Comments URL: https://news.ycombinator.com/item?id=42163993

Points: 1

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Article URL: https://github.com/arkohut/memos

Comments URL: https://news.ycombinator.com/item?id=42163978

Points: 2

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Article URL: https://www.nature.com/articles/s41598-024-76218-y?fromPaywallRec=false

Comments URL: https://news.ycombinator.com/item?id=42163966

Points: 1

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Article URL: https://schoolhouse.world

Comments URL: https://news.ycombinator.com/item?id=42163958

Points: 1

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Article URL: https://eamag.me/2024/Building-a-macOS-app-with-python---BeeWare-vs-Kivy-vs-Flet-vs-Swift

Comments URL: https://news.ycombinator.com/item?id=42163926

Points: 1

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