Albert Nelson

Albert Nelson

Cyber Security Analyst
#100734710 followers4 following
☀️ 2 day streak
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About

I'm Albert Nelson, an innovative cybersecurity professional with expertise in cyber defense, identity security, cloud technologies, and enterprise IT operations. Passionate about strengthening organizational resilience through security hardening, AI-driven automation, and process improvement while translating complex technical challenges into practical business solutions. Recognized for combining strong technical expertise with exceptional communication and collaboration to deliver secure, scalable, and business-focused outcomes.

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Forums

Causop/causo-hub-free-tools-for-fundraising•

3h ago

We spent +$250 testing Reddit ads for Causo Fundraising. They paid for themselves.

A couple of weeks ago we started testing Reddit ads for Causo Fundraising, mainly because Reddit has already been one of our strongest organic acquisition channels.

After ~2 weeks:

  • 226 spent

  • 31,483 impressions

  • 165 clicks

  • 0.52% CTR

  • 1.37 CPC

  • ~10 conversions

•

1d ago

How do you launch multiple products on Product Hunt?

Hey everyone!

I ve already launched my website on Product Hunt, and now I m planning to launch individual products under it.

What s the best way to do this? Should each product have its own Product Hunt launch, or is there a way to launch products under an existing company?

Would love to hear from people who have done this before. Thanks!

space ocrp/space-ocr•

1d ago

space ocr update #2

It was a week of refactoring: one response shape across every surface, the structure behind it pulled into one place, and the bugs that turned up while I was in there.

The shape. /ocr/fields, /ocr/markdown and /ocr/text now return the same four keys. values is your data, exactly the schema you asked for and nothing else. cells is a flat map keyed by path, one entry per value, carrying box and quad (both always present, normalized 0 1000), verified, review, and the raw evidence behind that verdict. review is the summary: declared, returned, boxed, verified, flagged[], by_reason. image is the source size, for turning the normalized boxes back into pixels. Full shape with a worked example: https://space-ocr.com/docs#post-...

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