# Google Antigravity vs Workable

Google Antigravity records 16,054,109 monthly visits with +8.1% month-over-month growth and Freemium pricing. Workable records 10,780,627 monthly visits with +5.5% growth and Free Trial, Paid pricing.

| Metric | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | [Workable](https://openaitools.app/tool/workable) |
| :--- | :--- | :--- |
| Website URL | https://antigravity.google | https://www.workable.com |
| Categories | AI Agent, AI Developer Tools, AI Code Assistant, AI Copilot | AI Recruiting, AI Agent, AI CRM |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 16,054,109 | 10,780,627 |
| MoM Growth Rate | +8.1% | +5.5% |
| Primary Market | India | United States |
| Direct Visits | 4,378,684 | 5,309,440 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Google Antigravity

Google Antigravity is Google's entry into agentic software development, positioned as a platform rather than a single editor. Instead of asking an assistant to autocomplete a line, Antigravity is designed around agents that take on whole tasks: they read a codebase, produce artifacts such as plans and verification tests, and report back so a human can review the work. The product is distributed across several surfaces so it can fit different workflows — the Antigravity App as a command center for running multiple local agents in parallel, the Antigravity IDE as the fully featured editor with agent manager and artifacts, the Antigravity CLI for keyboard-driven terminal work, extensions for existing editors, and the Antigravity SDK for building custom agents on the same agent harness.

The platform is explicitly aimed at a broad audience: professional developers working in large enterprise codebases, hobbyists vibe-coding on the side, and everyone in between. Google's marketing highlights use cases like frontend and full-stack development, legacy and codebase migrations, technical debt and backlog burndown, automated testing and QA verification, incident triage and root cause analysis, data pipelines and SQL work, developer onboarding and architecture, and enterprise architecture and strategy.

Antigravity connects to Google's Gemini model line, with the site documenting model releases such as Gemini 4 Carbon, Gemini 4 Argon, and Gemini 3.8 Flash, plus agent features like voice mode, custom agents, and a plugin marketplace. It is available for macOS, Windows, Linux, and Googlebook, and Google states it is available at no charge for developers.

**Pricing & Plans:** Free to download and use for individual developers according to Google's own site; organization and enterprise plans are offered separately (pricing on request). Model and quota details can change, so check the official pricing page before committing a team.

- **Multiple agent surfaces:** A desktop app, a full agentic IDE, a terminal-first CLI, editor extensions, and an SDK let you run Antigravity agents wherever you already work.
- **Parallel local agents:** Group conversations into Projects and run several local agents at the same time, across multiple workspaces, rather than one at a time.
- **Artifacts and verification:** Agents produce designed artifacts such as plans and comprehensive verification tests so output can be reviewed, not just accepted.
- **Built on Gemini models:** Runs on Google's Gemini model line, including releases such as Gemini 4 Carbon, Gemini 4 Argon, and Gemini 3.8 Flash.
- **Agent SDK for custom agents:** Use short Python scripts against the Antigravity harness to prototype custom agents, automate engineering tasks, and run evaluations.

**Strengths:** Free for individual developers and available on macOS, Windows, Linux, and Googlebook; Covers many surfaces — app, IDE, CLI, extensions, SDK — so different workflows are supported; Backed by Google and its Gemini models with a steady release cadence; Verification-oriented: artifacts and tests make agent output easier to review

**Limitations:** Tied to Google's Gemini model line rather than being model-agnostic; Enterprise pricing is not published, so costs require contacting sales; Rapid model and feature changes mean quotas and capabilities can shift

[Profile (Markdown)](https://openaitools.app/tool/google-antigravity.md)

## Workable

Workable positions itself as agentic software for recruiting and HR. The centrepiece is a native AI recruiting agent that operates inside the applicant tracking system: it continuously sources passive candidates from a 400M+ profile pool, evaluates every inbound applicant against up to 14 job criteria, messages candidates to verify interest and fill gaps, and produces a scored shortlist where strong fits auto-advance and clear rejections are filtered out. Because the agent inherits the platform's permissions and security model, every action is logged, permissioned and reviewable.

Underneath the agent sits a deep, conventional ATS. Teams manage requisitions and approvals, custom pipelines and profiles, interview kits, scorecards and assessments, self-service interview scheduling, and offer management with e-signatures and integrated background checks. One click publishes a job to 200+ boards across 100+ countries, and a drag-and-drop careers page builder plus LinkedIn Preferred and Indeed Platinum partnerships help with visibility. A searchable talent CRM keeps past applicants warm for future roles.

After the hire, Workable keeps going as a full HR platform: automated onboarding portals, employee self-service, employee records and document management, time off and attendance, performance and engagement tools, and payroll reporting. It is also deliberately open — MCP-native with comprehensive coverage for Claude, ChatGPT or custom agents, a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first experience. Pricing combines a free trial with paid plans tiered by company size and modules.

**Pricing & Plans:** Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

- **AI candidate sourcing:** The agent continuously searches 400M+ profiles, identifies strong fits before they apply and sends each a personalised outreach message for every open role.
- **Automated screening and engagement:** Every applicant is scored against up to 14 job criteria with visible reasoning, then messaged directly to confirm interest and close information gaps before reaching a recruiter.
- **Complete ATS underneath:** Requisitions, pipelines, interview kits and scorecards, interview scheduling, offer letters with e-signatures and integrated background checks in one platform.
- **Job ad syndication and careers pages:** Publish jobs to 200+ boards in 100+ countries and build branded career sites with a drag-and-drop editor, plus LinkedIn and Indeed Apply integration.
- **HR platform after the hire:** Onboarding, employee self-service, time off and attendance, performance reviews and engagement tools sit on the same employee data created during hiring.
- **Open platform and integrations:** MCP-native coverage plus a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first employee and candidate experience.

**Strengths:** Native AI agent does real sourcing, screening and candidate messaging, not just keyword ranking; Runs on top of a complete ATS rather than being a bolt-on tool with limited context; Hiring context carries through to onboarding and HR, so talent data compounds over time; Open and MCP-native: bring Claude, ChatGPT or your own agents while Workable stays the system of record

**Limitations:** Pricing scales with headcount and module selection, so costs grow as you add HR features; Full value depends on adopting both the ATS and HR modules, which is a bigger rollout for small teams; Very feature-rich, so administrators need time to configure workflows, permissions and approvals; Partner job-board and integration advantages vary by region and plan tier

[Profile (Markdown)](https://openaitools.app/tool/workable.md)

## Frequently Asked Questions

### How do Google Antigravity and Workable compare in monthly traffic?

Google Antigravity has 16,054,109 monthly visits, while Workable has 10,780,627. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Google Antigravity has a month-over-month growth rate of +8.1%; Workable has +5.5%.

### How does pricing compare?

Google Antigravity: Freemium. Free to download and use for individual developers according to Google's own site; organization and enterprise plans are offered separately (pricing on request). Model and quota details can change, so check the official pricing page before committing a team. Workable: Free Trial, Paid. Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Provides superior reasoning and artifact generation for coding tasks, but lacks a dedicated native desktop development command center. | [.md](https://openaitools.app/tool/claude-2.md) |
| 2 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | Offers a more mature polished AI-native coding experience, but lacks Google's specific native multi-agent command center ecosystem. | [.md](https://openaitools.app/tool/cursor.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables rapid full-stack app building and deployment entirely in the cloud, but offers less granular local agentic control. | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Deeply reads entire codebases to execute complex multi-file tasks, though integrated as an IDE plugin rather than standalone suite. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Delivers robust spec-driven engineering and autonomous verification workflows, though configured differently than Google's developer platform. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Open-source development environment running multiple CLI coding agents in isolated git worktrees, but requires manual setup. | [.md](https://openaitools.app/tool/orca.md) |
| 8 | [Recruit CRM](https://openaitools.app/tool/recruit-crm) | 729,799 | -7.8% | Contact for Pricing | Unifies applicant tracking and client management with AI outreach, but is tailored more heavily for agency recruiters. | [.md](https://openaitools.app/tool/recruit-crm.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Provides a seamless AI-driven IDE workflow with strong multi-file editing, but offers less specialized multi-agent orchestration control. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |

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Source: https://openaitools.app/compare/google-antigravity-vs-workable

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