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28 ms
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301.
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Optimizing Your Wife
(mathpages.com)
33 points
by
siftrics
5y ago
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31 comments
302.
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Bootstrapping a Decentralized Autonomous Corporation (2013)
(blog.ethereum.org)
1 points
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siftrics
5y ago
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0 comments
303.
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Libre.Study now allows courses to be “forked” like GitHub repositories
(libre.study)
3 points
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siftrics
5y ago
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0 comments
304.
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Azimuth Forum
(forum.azimuthproject.org)
1 points
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siftrics
5y ago
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0 comments
305.
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Show HN: Democratic Roadmap for Libre.Study
(libre.study)
2 points
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siftrics
5y ago
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0 comments
306.
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Libre.Study adds “written answer” mode alongside multiple-choice
(libre.study)
3 points
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siftrics
5y ago
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0 comments
307.
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Show HN: Libre.study
(libre.study)
3 points
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siftrics
5y ago
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0 comments
308.
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Learn Katakana カタカナ with Spaced Repetition
(libre.study)
3 points
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siftrics
5y ago
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0 comments
309.
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A Fast Method for Multiplying 2-Digit Numbers
(libre.study)
2 points
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siftrics
5y ago
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0 comments
310.
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Puppy Pregnancy Syndrome
(en.wikipedia.org)
1 points
by
siftrics
5y ago
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1 comments
311.
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Extract complicated tables from images and documents
(siftrics.com)
4 points
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siftrics
5y ago
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0 comments
312.
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Show HN: Siftrics
(siftrics.com)
5 points
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siftrics
5y ago
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1 comments
313.
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Solving the “Offset Problem” in Zonal Text Recognition
(siftrics.com)
2 points
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siftrics
5y ago
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0 comments
314.
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The Gymnasiums of the Mind
(philosophynow.org)
2 points
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siftrics
5y ago
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0 comments
315.
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VScode Pets
(marketplace.visualstudio.com)
57 points
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siftrics
6y ago
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15 comments
316.
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by
siftrics
6y ago
SEEKING WORK | Remote | Denver ======================================== I build solutions to extract data from PDFs/images and insert it into databases. Expert in text recognition, text extraction, data onboarding, Python, Go, JavaScri
317.
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siftrics
6y ago
I’m the founder of a startup that has eliminated the issue you mention. Our documents-to-database service handles arbitrary rotation, skews, and offsets. Example of it handling a scan of a document that’s rotated ~100 degrees and physically
318.
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siftrics
6y ago
I’m the founder of a startup that is solving this exact problem. Our service Hydra allows users to extract tables from documents, even if the number of rows varies from document to document. It also handles arbitrary offset, skew and rotati
319.
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De-Skewing Documents with Hydra
(siftrics.com)
1 points
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siftrics
6y ago
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0 comments
320.
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Fewer Bankruptcies. More Startups. One Strange Recession
(bloomberg.com)
1 points
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siftrics
6y ago
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0 comments
321.
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JPMorgan Is Set to Pay $1B in Record Spoofing Penalty
(bloomberg.com)
17 points
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siftrics
6y ago
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4 comments
322.
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We need to talk about carbon (2019)
(tobi.lutke.com)
1 points
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siftrics
6y ago
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0 comments
323.
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by
siftrics
6y ago
Yes! We handle human handwriting and more than 100 languages. I encourage you try it yourself. After all, you get 1,000 pages for free :)
324.
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siftrics
6y ago
>Does it handle complex documents better or something? Exactly. It can handle tables of information with a variable number of rows from document to document. It can also handle arbitrary rotation, skew, offset and cropping. To see an exa
325.
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siftrics
6y ago
First of all, thank you! The point of the pure text recognition service is to draw business; not to make a profit. Without the "Advanced Features", the service operates at a slight loss. However, the profit margins and total volum
326.
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siftrics
6y ago
I have to say — nice product. It’s very clean. I can see how people are convinced to try it. I want to sign up just to experience more of the buttery-smooth UI.
327.
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Siftrics
(siftrics.com)
1 points
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siftrics
6y ago
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0 comments
328.
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The Hydra API
(siftrics.com)
2 points
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siftrics
6y ago
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0 comments
329.
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by
siftrics
6y ago
> if I had a penny for every time somebody did something stupid or wasteful to stay within the free use tier. You make a good point. I suppose it doesn't apply in quite the same way here, since we offer lifetime free credits --- the
330.
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siftrics
6y ago
>Reduce decision fatigue for customers. I am a huge evangelist of this piece of advice. I'm the founder of a startup that offers ONE price --- and free trial credits, of course --- for each product. I think it has helped us tremendo
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