phenomen

I use Geist Sans and Mono for almost all of my projects. I'm looking forward to Fontsource/Google Fonts adding Serif to the repository.

I currently use https://github.com/firecrawl/anydoc in my PDF pipelines. In most cases it performs well. I'll test your lib to compare.

If you zoom in (especially on the large title), you'll see that the text is a semi-transparent gray with a black internal outline. It seems like all the typography is SVG-rendered. Actually insane. I've never seen this before. Not even the most vibeslopped websites have that.

3.6 Flash and 3.1 Pro are included in the basic Workspace subscription. The Workspace admin has to upgrade your seat for the access to newer models ($17/mo now, $24/mo starting Jan 2027).

It's also the only model that generates accurate translation and localization. No other frontier model comes close. Although Gemini's coding capabilities are subpar, its natural language processing is top-tier.

If you have their IP addresses in your dashboard, go to Google Ads > Admin > Account Settings > IP Exclusions. Then, add the entire network/data center range there (i.e. 123.4.5.*). In 99% of cases, these bot networks are not run from residential providers. You can confirm IPs at https://ipgeolocation.io/

After running Google Ads for a couple of years, our current exclusion list has over 4000 networks just in the US.

That's your fantasy. Reality is https://news.ycombinator.com/item?id=49607443

I tested many open-source and hosted OCR models and Datalab Chandra was the most accurate. It can parse complex layouts, tables, handwriting, and formulas at a fraction of the cost of Claude/Gemini.

Local: https://github.com/datalab-to/chandra Hosted: https://www.datalab.to

Another decent option is GLM OCR. It's slightly less accurate but faster and cheaper.

Local: https://github.com/zai-org/GLM-OCR Hosted: https://docs.z.ai/guides/vlm/glm-ocr

Other models such as PaddleOCR, dots.ocr and DeepSeek OCR performed significantly worse.