Wow, this is amazing! I see you've been building this on GitHub for 7 years - that's truly impressive dedication. What keeps you motivated to stick with this product for so long?
Readit NewsDead Comment
zastai0day commented on Lazy-brush – smooth drawing with mouse or finger lazybrush.dulnan.net... · Posted by u/tvdvd
zastai0day commented on Show HN: I built a free alternative to Adobe Acrobat PDF viewer github.com/embedpdf/embed... · Posted by u/bobsingor
This looks really impressive! I'm curious about the monetization strategy - how do you plan to sustain development of such a feature-rich PDF viewer while keeping it free? Are you considering enterprise features, hosting services, or other revenue streams?
zastai0day commented on Wikipedia loses challenge against Online Safety Act bbc.com/news/articles/cjr... · Posted by u/phlummox
This regulatory challenge reveals how policy changes can create new cybersecurity , from identity verification risks to operational security gaps, underscoring the importance of holistic vulnerability management that addresses both technical and regulatory security risks.
All people are talking about GPT-5 all over the world, the competition is so intense that every major tech company is racing to develop their own advanced AI models.
zastai0day commented on Claude Code IDE integration for Emacs github.com/manzaltu/claud... · Posted by u/kgwgk
What's its monetization?
zastai0day commented on Companies Tried to Save Money with AI Now Spending a Fortune to Fix Its Mistakes · Posted by u/laurex
I completely agree with you. AI programming often generates code with complex logic and rules that developers don't fully understand, creating "black box" systems that can lead to unexpected behaviors and make debugging extremely challenging. More concerning is the security risk - AI-generated code may appear correct but contain hidden vulnerabilities like SQL injection or XSS attacks, as AI lacks deep understanding of security best practices. This creates a vicious cycle where companies save money on initial development but end up spending a fortune on technical debt, security audits, and vulnerability fixes. The maintenance costs skyrocket as teams struggle to understand and modify AI-generated code, while the need for additional security testing and code reviews becomes essential. It's a classic case of "penny wise, pound foolish" where businesses underestimate the long-term maintenance and security risks of AI programming while pursuing short-term development efficiency gains.
zastai0day commented on An AI agent submitted 78 0days to VulDB in 12 days, the top contributor in July zast.ai/... · Posted by u/zastai0day
I think this is the list of reports https://github.com/zast-ai/vulnerability-reports
Yes, you are quite right! Would you like to give it a try?
Dead Comment