I Built an AI Interview Assistant That Costs $0 to Start — Here's Why

<p>Let's be real: the current AI coding workflow is tedious. </p> <p>You hit a bug. You copy your code. You tab out to ChatGPT/Claude. You paste it. You copy the fix. You paste it

<p>Most coding platforms train engineers to solve isolated algorithm problems.</p> <p>But in real engineering, you rarely reverse linked lists.</p> <ul> <li>You debug production

<p>Every browser agent does the same expensive thing: dump the entire DOM into an LLM, ask "what should I click?", and repeat for every step. A 10-step workflow costs ~$4 in LLM

<p>Hey folks! 👋<br /> As a solo developer building for the global market, balancing performance, shipping speed, and server costs is always a tricky triangle. Recently, I launched

<blockquote> <p>PDF OCR, semantic mind maps, RAG search, and a hierarchical tag system — all generated through conversations with an AI app builder.</p> </blockquote> <p>I want to

<p>A few months ago I had a question that didn't let me sleep. When people ask ChatGPT "what's the best tool for X", which brands actually get mentioned? And more importantly:

<p>AI cheating in remote interviews is now the norm, not the exception.</p> <p>Candidates are running Cluely, Parakeet AI, and screen <br /> overlay tools while sharing their

<p>Most job search tools focus on submitting more applications. I wanted to solve a different problem: reaching the people actually making hiring decisions. So I built <a