Megan

Job searching is frustrating because most people are guessing. You submit the same application as everyone else and walk into interviews without really knowing what the company is looking for. Prelume changes that by generating a Signal Packet before you apply. It analyzes the role, the company, and the broader market to surface what actually matters, including hidden expectations, positioning gaps, and how to stand out as a candidate. Instead of generic advice, you get a clear strategy tailored to the role. On top of that, Prelume includes a live AI Career Advisor powered by ElevenLabs ElevenAgents. You can ask questions about the role, your positioning, or how to approach interviews, and get responses in real time through both text and voice. The agent uses the Signal Packet as context, so it feels like a focused, personalized coaching session rather than a generic chatbot. To generate these insights, Prelume uses Firecrawl to extract structured data from job postings and company signals. This makes it possible to move beyond surface-level descriptions and turn raw information into something actionable. The result is a tool that helps people understand what they are walking into, position themselves more effectively, and approach interviews with clarity instead of guesswork.

Submitted 26 Mar 2026