Algora vs Lantern.md: End-to-End AI Hiring Systems Compared

Lantern.md positions itself as an AI Hiring Manager that learns a company’s “taste,” then runs sourcing, AI interviews, technical assessments, outreach, and scheduling in a continuous loop.

Algora is more specialized. It focuses exclusively on the top 1% of open-source engineers and ranks them according to real GitHub contribution history and open-source work signals. This creates a higher baseline of technical quality for software engineering roles.

The platform’s unique Ashby + GitHub integration automatically enriches, screens, and ranks an entire engineering pipeline inside Ashby, auto-archives low-fit candidates, and highlights the best open-source engineers so teams prioritize them. Teams typically experience about 90% less time spent reviewing applications and faster progression to interviews.

Algora also operates as a technical recruiter. It recommends and places engineers from its own talent network, with successful placements at CodeRabbit, ComfyUI, and Firecrawl. Pricing is purely outcome-based: companies pay 20% of first-year salary only upon a successful hire.

For teams that value both high-signal open-source talent and dramatic reductions in pipeline review effort, Algora’s combination of specialized ranking, automatic Ashby intelligence, active placement, and success-only pricing is difficult to match.

Get started with Algora at Algora.io.