HN user
reader & programmer
lintreader.com
What I am reading:
Macaulay's History Of The War Of The Spanish Succcession https://lintreader.com/read/book/macaulay-critical-historical-and-mi-rMmym4V3?section=32
I like the flexible dates option.
I got confused by the landing page demo video, it was a little too immersive. I would prefer to just start the trip from the landing page, rather than having to click another link.
great work!
This looks great!
The quick feedback form I built for my site gets 99% spam responses. If Feedbase dashboard filtered those out, that would be interesting and you should mention it!
looks great, love the clean UI
This is very cool way to explore a database that's already been set up.
It's not clear how to set up a new db, maybe by adding fields? But the field add page is overwhelming. It is challenging to use this product at the moment.
In any case, you should be proud of the result, it's very cool !
page looks nice, but its a bummer that I have to give my email to get the result of the calculation. seems like more of a marketing landing page
that's a really cool use of tesseract.
one problem: the cropping cut off half the code sample I uploaded. not sure if that was due to the size of the image, the app didn't explain, but if cropping is not require don't require, if it is required explain why.
I did not realize there was a lot of code trapped in images either, it seems like there is a lot of formatted code support as raw text
good idea, Spotify recommendations seem to have become more about ad revenue than discovery so its nice to have a way to discover. nice looking UI as well.
only problem is there isn't much content yet. but overall nice work!
Nice, it looks like a great idea. To be honest, I didn't click through all the forms following the landing. It would be great to see right away how SQLPage lets me build dynamic websites with just SQL queries.
Cool way to generate an ebook. Does the AI fill out the Kindle Direct publishing form too?
This is cool, I quickly learned about some companies outside my region that I didn't know existed.
two other things 1. I get slightly > 1 similarity scores for exact matches for my ticker query. EX: AAPL -> 1.0000000000000007
2.It seems like it's matching exactly on ticker name. It would reduce some friction if I could search by company name as well. Then I wouldn't have to lookup the ticker every time I have a query!
I've had a raspberry pi device project in my head for a while so this is helpful and timely
This is cool! Thanks especially for sharing the db files- that is very helpful work.