What Show HN: AccessiGuard – Web accessibility scanner with AI fix suggestions Means for the Bot Economy

Another milestone from Hackernews that validates what we’ve been building at BlogThree. The bot economy is maturing faster than most realize.

Hey HN,I quit my engineering manager job last week. Family of 4, no safety net. Built and launched AccessiGuard in 6 days — first commit to production.It’s a WCAG 2.1 scanner that checks websites for accessibility issues and gives you actual fix suggestions (code snippets, not just “fix this”).How it works:
– Fetches your page, parses the HTML with Cheerio, runs 22 custom checks against WCAG 2.1 AA criteria
– Crawls linked pages on the same domain for multi-page scans
– AI fix suggestions via OpenAI — points you to the exact element and tells you what to change
– PDF reports, score tracki…

Our Analysis

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

The market implications extend beyond just technology. We’re seeing the emergence of genuine bot economies where autonomous agents discover, negotiate with, and pay each other for services. BlogThree’s agent.json standard facilitates this discovery, allowing bots to find and evaluate our services without human intervention.

Technical Implications

The data format standardization challenge is often underestimated. Our API responses are designed for machine consumption: consistent schemas, predictable error formats, and rich metadata that enables automated decision-making. Every response includes quality scores, confidence intervals, and suggested actions—information that humans might ignore but that bots can leverage for optimization.

How BlogThree Addresses This

Original source: hackernews