Saturday, 30 November 2024
Friday, 29 November 2024
Thursday, 28 November 2024
Wednesday, 27 November 2024
Tuesday, 26 November 2024
Monday, 25 November 2024
Sunday, 24 November 2024
New top story on Hacker News: Lunatic Fringe is a game originally distributed as an AfterDark screensaver
Lunatic Fringe is a game originally distributed as an AfterDark screensaver
3 by threekindwords | 0 comments on Hacker News.
3 by threekindwords | 0 comments on Hacker News.
Saturday, 23 November 2024
Friday, 22 November 2024
Thursday, 21 November 2024
Wednesday, 20 November 2024
Tuesday, 19 November 2024
New top story on Hacker News: Rumble CEO Chris Pavlovski Expresses Interest in Buying Google Chrome
Rumble CEO Chris Pavlovski Expresses Interest in Buying Google Chrome
3 by agensaequivocum | 0 comments on Hacker News.
3 by agensaequivocum | 0 comments on Hacker News.
Monday, 18 November 2024
Sunday, 17 November 2024
Saturday, 16 November 2024
Friday, 15 November 2024
Thursday, 14 November 2024
New top story on Hacker News: OpenAI, Google and Anthropic are struggling to build more advanced AI
OpenAI, Google and Anthropic are struggling to build more advanced AI
46 by lukebennett | 103 comments on Hacker News.
46 by lukebennett | 103 comments on Hacker News.
Wednesday, 13 November 2024
Tuesday, 12 November 2024
Monday, 11 November 2024
New top story on Hacker News: Show HN: Flash Kitty – Archive of Adobe/Macromedia Flash Movies from Flash Kit
Show HN: Flash Kitty – Archive of Adobe/Macromedia Flash Movies from Flash Kit
9 by gzalo | 1 comments on Hacker News.
After realizing a few months ago that the current flashkit owners didn't really back up any of the user submitted movies, and getting some Flash nostalgia, I created this working Flash Kit archive using data from the Wayback Machine/Internet Archive. It uses Raffle so you can watch the submitted movies in a modern browser without needing plugins. It's not curated so you'll find a variety of things, some things are really creative and can be used for inspiration.
9 by gzalo | 1 comments on Hacker News.
After realizing a few months ago that the current flashkit owners didn't really back up any of the user submitted movies, and getting some Flash nostalgia, I created this working Flash Kit archive using data from the Wayback Machine/Internet Archive. It uses Raffle so you can watch the submitted movies in a modern browser without needing plugins. It's not curated so you'll find a variety of things, some things are really creative and can be used for inspiration.
Sunday, 10 November 2024
Saturday, 9 November 2024
New top story on Hacker News: There aren't enough smart people in biology doing something boring
There aren't enough smart people in biology doing something boring
35 by abhishaike | 16 comments on Hacker News.
35 by abhishaike | 16 comments on Hacker News.
Friday, 8 November 2024
New top story on Hacker News: I wonder how much Cook dithered over that cheerful-looking exclamation mark
I wonder how much Cook dithered over that cheerful-looking exclamation mark
20 by LeoPanthera | 2 comments on Hacker News.
20 by LeoPanthera | 2 comments on Hacker News.
Thursday, 7 November 2024
Wednesday, 6 November 2024
New top story on Hacker News: Launch HN: Midship (YC S24) – Turn PDFs and Images into usable data
Launch HN: Midship (YC S24) – Turn PDFs and Images into usable data
12 by maxmaio | 13 comments on Hacker News.
Hey HN, we are Max, Kieran, and Aahel from Midship ( https://midship.ai ). Midship makes it easy to extract data from unstructured documents like pdfs and images. Here’s a video showing it in action: https://ift.tt/Zx91mob?... , and a demo playground (no signup required!) to test it out: https://ift.tt/LOPe2mD We started 5 months ago initially trying to make an AI natural language workflow builder that would be a simpler alternative to Zapier or Make.com. However, most of our users seemed to be much more interested in the basic (and not very good) document extraction feature we had. Seeing how people were spending hours a day manually extracting data from pdfs inspired us to build what has become Midship! The problem is that despite all our progress in software, huge amounts of business data still lives in PDFs and images. Sure, you can OCR them, but getting clean, structured data out is still painful. Most existing tools just give you a blob of markdown - leaving you to figure out which parts matter and how they relate. We've found that combining OCR with language models lets us do something more useful: extract specific fields and tables that users actually care about. The LLMs help correct OCR mistakes and understand context (like knowing that "Inv#" and "Invoice Number" mean the same thing). We have two main kinds of users today, non-technical users that extract data via our web app and developers who use our extraction api. We were initially focused on the first one as they seemed like an underserved part of the market, but we’ve received a lot of interest from developers who face the same issues. For pricing, we currently charge a monthly Saas fee per seat for the web app and a volume based pricing for the API. We’re really excited to share what we’ve built so far and look forward to any feedback from the community!
12 by maxmaio | 13 comments on Hacker News.
Hey HN, we are Max, Kieran, and Aahel from Midship ( https://midship.ai ). Midship makes it easy to extract data from unstructured documents like pdfs and images. Here’s a video showing it in action: https://ift.tt/Zx91mob?... , and a demo playground (no signup required!) to test it out: https://ift.tt/LOPe2mD We started 5 months ago initially trying to make an AI natural language workflow builder that would be a simpler alternative to Zapier or Make.com. However, most of our users seemed to be much more interested in the basic (and not very good) document extraction feature we had. Seeing how people were spending hours a day manually extracting data from pdfs inspired us to build what has become Midship! The problem is that despite all our progress in software, huge amounts of business data still lives in PDFs and images. Sure, you can OCR them, but getting clean, structured data out is still painful. Most existing tools just give you a blob of markdown - leaving you to figure out which parts matter and how they relate. We've found that combining OCR with language models lets us do something more useful: extract specific fields and tables that users actually care about. The LLMs help correct OCR mistakes and understand context (like knowing that "Inv#" and "Invoice Number" mean the same thing). We have two main kinds of users today, non-technical users that extract data via our web app and developers who use our extraction api. We were initially focused on the first one as they seemed like an underserved part of the market, but we’ve received a lot of interest from developers who face the same issues. For pricing, we currently charge a monthly Saas fee per seat for the web app and a volume based pricing for the API. We’re really excited to share what we’ve built so far and look forward to any feedback from the community!
Tuesday, 5 November 2024
Monday, 4 November 2024
Sunday, 3 November 2024
New top story on Hacker News: Missing open-source contributor presents a dilemma when accepting their PR
Missing open-source contributor presents a dilemma when accepting their PR
3 by FrankRay78 | 0 comments on Hacker News.
3 by FrankRay78 | 0 comments on Hacker News.