The best Hacker News stories from Show from the past day
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Show HN: Fastest way to create cloud functions. Write and click deploy Button
Show HN: ReleaseChurch – a fun-website to cast a prayer for your release
Show HN: ReleaseChurch – a fun-website to cast a prayer for your release
Show HN: Remote job opportunities from scouring FB
Show HN: Programmable “link preview” thumbnails for your website's pages
Show HN: Programmable “link preview” thumbnails for your website's pages
Show HN: Timeless articles posted on Hacker News, written 1321 to 2021
Show HN: Timeless articles posted on Hacker News, written 1321 to 2021
Show HN: Timeless articles posted on Hacker News, written 1321 to 2021
Show HN: Termius (YC W19) – Share your terminal session like Google Docs
Hi everybody, I’m Roman from Termius (YC W19, HN launch <a href="https://news.ycombinator.com/item?id=20118727" rel="nofollow">https://news.ycombinator.com/item?id=20118727</a>). I want to share news about a new exciting feature that we wanted to build for a long time. It’s Terminal Sharing. Terminal Sharing enables engineers to get instant help from their colleagues by providing a link to their terminal output updated in real-time. There is also a mode where the viewer can enter commands from their end.<p>When I was getting into programming, some of my biggest problems were: compilation errors or not being able to set up something on a Linux server. One of the ways to get help in such a case is to ask a friend or colleague who has done it before. One more thing, we all remember times (before the pandemic) when teammates could come to your table and check out where you got stuck and often it’s in a terminal window. Unfortunately,it’s often impossible in the post-COVID era when most of the teams work remotely<p>Of course, there is always a way of using a multiplexor like tmux, byobu or screen. However, it’s a bit annoying because you have to deal with access like adding keys or passwords. Then you have to communicate back and forth to see if the person is there. You also need to remember to start those tools before you end up with an issue. And finally, you need to remember to remove the access later. The whole thing is even harder on Windows with Putty. Alternatively, you can use zoom and screen sharing, but it requires dealing with control over the keyboard input, which is quite cumbersome.<p>This is why we built Terminal Sharing in Termius (<a href="https://termius.com/windows" rel="nofollow">https://termius.com/windows</a>). If you need help from your friend or colleague, then you can create a live session in just a second. You get a unique link to sharein just two clicks. Terminal Sharing is available on Windows, Mac, and Linux, no mobile support yet. You and the viewers need only to have the free version of Termius to use basic Terminal Sharing features. We like the idea of giving this feature for free to spread the word about the product and build more advanced, paid, collaboration features for teams later.<p>In terms of the technical implementation, Terminal Sharing uses WebRTC under the hood, and it tries to establish a peer-to-peer connection when possible. WebRTC uses TLS 1.2, which encrypts the traffic.<p>Check it out here: <a href="https://termius.com/windows" rel="nofollow">https://termius.com/windows</a>. We’re still testing usability and viability of this feature, so any feedback is welcome. The feature is free, but it requires an account (no subscription required!). Please share your feedback in the comments!
Show HN: A labelling tool to easily extract and label Wikipedia data
Hi HN! I am Maria, solo founder of DataQA (<a href="https://dataqa.ai/" rel="nofollow">https://dataqa.ai/</a>), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc).<p>I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better return on investment by simply labelling more data. I have created DataQA to enhance exploration & labelling of documents. It is open-source and ships with the elasticsearch text search engine which I have packaged as a python package (might be topic of a future technical post), as well as a rules-based engine to do pre-labelling of documents using NLP rules. It is very easy to install with a single pip command.<p>One of the key things I wanted to add to DataQA is an integration to Wikipedia. Even though wikipedia is the largest living repository of human knowledge in the world, I still always found it difficult to process it and create structured datasets for my specific applications. Since wiki pages are long-form articles, it is important to divide the text into smaller text chunks. A lot of the interesting data is also sometimes displayed in tables. With DataQA you can now upload a list of wikipedia page urls and the tool will extract the articles, process them and even parse the tables, so you can then label any entities you want. You can find a tutorial here: <a href="https://towardsdatascience.com/a-labelling-tool-to-easily-extract-and-label-wikipedia-data-63f58e2e76ae?gi=13e9b7f5080c" rel="nofollow">https://towardsdatascience.com/a-labelling-tool-to-easily-ex...</a>.<p>The open-source version of DataQA currently only supports csv, but I have an enterprise version with premium features such as labelling of pdfs (with understanding of tables). If you're interested in a free trial, please contact me at contact@dataqa.ai :-).
Show HN: A labelling tool to easily extract and label Wikipedia data
Hi HN! I am Maria, solo founder of DataQA (<a href="https://dataqa.ai/" rel="nofollow">https://dataqa.ai/</a>), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc).<p>I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better return on investment by simply labelling more data. I have created DataQA to enhance exploration & labelling of documents. It is open-source and ships with the elasticsearch text search engine which I have packaged as a python package (might be topic of a future technical post), as well as a rules-based engine to do pre-labelling of documents using NLP rules. It is very easy to install with a single pip command.<p>One of the key things I wanted to add to DataQA is an integration to Wikipedia. Even though wikipedia is the largest living repository of human knowledge in the world, I still always found it difficult to process it and create structured datasets for my specific applications. Since wiki pages are long-form articles, it is important to divide the text into smaller text chunks. A lot of the interesting data is also sometimes displayed in tables. With DataQA you can now upload a list of wikipedia page urls and the tool will extract the articles, process them and even parse the tables, so you can then label any entities you want. You can find a tutorial here: <a href="https://towardsdatascience.com/a-labelling-tool-to-easily-extract-and-label-wikipedia-data-63f58e2e76ae?gi=13e9b7f5080c" rel="nofollow">https://towardsdatascience.com/a-labelling-tool-to-easily-ex...</a>.<p>The open-source version of DataQA currently only supports csv, but I have an enterprise version with premium features such as labelling of pdfs (with understanding of tables). If you're interested in a free trial, please contact me at contact@dataqa.ai :-).
Show HN: A labelling tool to easily extract and label Wikipedia data
Hi HN! I am Maria, solo founder of DataQA (<a href="https://dataqa.ai/" rel="nofollow">https://dataqa.ai/</a>), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc).<p>I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better return on investment by simply labelling more data. I have created DataQA to enhance exploration & labelling of documents. It is open-source and ships with the elasticsearch text search engine which I have packaged as a python package (might be topic of a future technical post), as well as a rules-based engine to do pre-labelling of documents using NLP rules. It is very easy to install with a single pip command.<p>One of the key things I wanted to add to DataQA is an integration to Wikipedia. Even though wikipedia is the largest living repository of human knowledge in the world, I still always found it difficult to process it and create structured datasets for my specific applications. Since wiki pages are long-form articles, it is important to divide the text into smaller text chunks. A lot of the interesting data is also sometimes displayed in tables. With DataQA you can now upload a list of wikipedia page urls and the tool will extract the articles, process them and even parse the tables, so you can then label any entities you want. You can find a tutorial here: <a href="https://towardsdatascience.com/a-labelling-tool-to-easily-extract-and-label-wikipedia-data-63f58e2e76ae?gi=13e9b7f5080c" rel="nofollow">https://towardsdatascience.com/a-labelling-tool-to-easily-ex...</a>.<p>The open-source version of DataQA currently only supports csv, but I have an enterprise version with premium features such as labelling of pdfs (with understanding of tables). If you're interested in a free trial, please contact me at contact@dataqa.ai :-).
Show HN: A labelling tool to easily extract and label Wikipedia data
Hi HN! I am Maria, solo founder of DataQA (<a href="https://dataqa.ai/" rel="nofollow">https://dataqa.ai/</a>), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc).<p>I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better return on investment by simply labelling more data. I have created DataQA to enhance exploration & labelling of documents. It is open-source and ships with the elasticsearch text search engine which I have packaged as a python package (might be topic of a future technical post), as well as a rules-based engine to do pre-labelling of documents using NLP rules. It is very easy to install with a single pip command.<p>One of the key things I wanted to add to DataQA is an integration to Wikipedia. Even though wikipedia is the largest living repository of human knowledge in the world, I still always found it difficult to process it and create structured datasets for my specific applications. Since wiki pages are long-form articles, it is important to divide the text into smaller text chunks. A lot of the interesting data is also sometimes displayed in tables. With DataQA you can now upload a list of wikipedia page urls and the tool will extract the articles, process them and even parse the tables, so you can then label any entities you want. You can find a tutorial here: <a href="https://towardsdatascience.com/a-labelling-tool-to-easily-extract-and-label-wikipedia-data-63f58e2e76ae?gi=13e9b7f5080c" rel="nofollow">https://towardsdatascience.com/a-labelling-tool-to-easily-ex...</a>.<p>The open-source version of DataQA currently only supports csv, but I have an enterprise version with premium features such as labelling of pdfs (with understanding of tables). If you're interested in a free trial, please contact me at contact@dataqa.ai :-).
Show HN: I made a collaborative ASCII editor
I made a website for drawing ascii art with other people https://ascii-collab.app/<p>It's been online for a little over a year so there's a fair bit of stuff to browse if you want to look around (so much that I even made a poster https://ascii-collab.app/poster.png)<p>There are other websites like yourworldoftext that do this but ascii-collab has some extra features like per-user undo/redo, box selection, a color highlight mode to see who made particular changes, and there's admin tools so I can remove spam.<p>The code is open sourced here https://github.com/MartinSStewart/ascii-collab if anyone is interested.<p>Enjoy!
Show HN: I made a collaborative ASCII editor
I made a website for drawing ascii art with other people https://ascii-collab.app/<p>It's been online for a little over a year so there's a fair bit of stuff to browse if you want to look around (so much that I even made a poster https://ascii-collab.app/poster.png)<p>There are other websites like yourworldoftext that do this but ascii-collab has some extra features like per-user undo/redo, box selection, a color highlight mode to see who made particular changes, and there's admin tools so I can remove spam.<p>The code is open sourced here https://github.com/MartinSStewart/ascii-collab if anyone is interested.<p>Enjoy!
Show HN: I made a collaborative ASCII editor
I made a website for drawing ascii art with other people https://ascii-collab.app/<p>It's been online for a little over a year so there's a fair bit of stuff to browse if you want to look around (so much that I even made a poster https://ascii-collab.app/poster.png)<p>There are other websites like yourworldoftext that do this but ascii-collab has some extra features like per-user undo/redo, box selection, a color highlight mode to see who made particular changes, and there's admin tools so I can remove spam.<p>The code is open sourced here https://github.com/MartinSStewart/ascii-collab if anyone is interested.<p>Enjoy!
Show HN: I made a collaborative ASCII editor
I made a website for drawing ascii art with other people https://ascii-collab.app/<p>It's been online for a little over a year so there's a fair bit of stuff to browse if you want to look around (so much that I even made a poster https://ascii-collab.app/poster.png)<p>There are other websites like yourworldoftext that do this but ascii-collab has some extra features like per-user undo/redo, box selection, a color highlight mode to see who made particular changes, and there's admin tools so I can remove spam.<p>The code is open sourced here https://github.com/MartinSStewart/ascii-collab if anyone is interested.<p>Enjoy!
Show HN: Describe SQL using natural language, and execute against real data
I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it.<p>https://app.tabbydata.com/sql-assistant-demo
Show HN: Describe SQL using natural language, and execute against real data
I played around with GPT-3 to build this demo. Select a public BigQuery dataset and describe your query in natural English, then edit the generated SQL as needed and execute it.<p>https://app.tabbydata.com/sql-assistant-demo