Gemini Spark vs Hiring Agent: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Gemini Spark and Hiring Agent — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
G
Gemini Spark
Google's always-on personal AI agent that monitors your inbox, manages your schedule, and completes multi-step tasks 24/7.
Key features
- Always-On Operation: Runs continuously on Google Cloud and keeps working even when your laptop is closed.
- Proactive Gmail Management: Organizes emails, drafts responses, prioritizes messages, and summarizes inbox activity.
- Calendar & Scheduling: Manages appointments, suggests scheduling improvements, and prepares meeting summaries.
- Google Workspace Integration: Connects natively with Gmail, Calendar, Drive, Docs, Sheets, Slides, YouTube, and Maps.
- Third-Party Connections: Links to apps like Canva, OpenTable, and Instacart, with more partners coming.
- Multi-Step Task Automation: Completes interconnected, recurring tasks such as spotting hidden fees or drafting reports from meeting notes.
- User-Controlled & Opt-In: You decide whether to enable it and which apps it can access.
Best for
- Inbox Triage: Automatically organize, prioritize, and draft replies to keep email under control.
- Schedule Management: Keep a calendar organized with proactive appointment and meeting prep.
- Recurring Monitoring: Set it to watch for things like hidden fees in monthly bills.
- Report Generation: Turn meeting notes from chats and emails into polished Google Docs reports.
H
Hiring Agent
InterviewStreet (HackerRank)
Open-source resume-to-score pipeline that extracts structured data from PDFs, enriches it with GitHub signals, and outputs explainable evaluations.
Key features
- Resume Parsing: Converts resume PDFs to Markdown and extracts sectioned structured JSON with an LLM.
- GitHub Enrichment: Fetches profile and repository signals and selects a candidate's top projects.
- Explainable Scoring: Produces category scores with evidence, bonus points, and deductions.
- Fairness Constraints: Runs a strict evaluation designed to keep scoring objective and fair.
- Local or Hosted LLM: Runs fully offline with Ollama or uses Google Gemini.
- Developer-Friendly: Writes CSV output in development mode for analysis and tuning.
Best for
- Candidate Screening: Score a batch of resumes objectively before interviews.
- Technical Hiring: Weigh GitHub activity alongside resume content for engineering roles.
- Bias Reduction: Apply consistent fairness-constrained scoring across applicants.
- Private Evaluation: Run fully local with Ollama to keep candidate data in-house.