# dassi vs Workable

dassi records 12,194 monthly visits with +57.9% month-over-month growth and Freemium pricing. Workable records 10,780,627 monthly visits with +5.5% growth and Free Trial, Paid pricing.

| Metric | [dassi](https://openaitools.app/tool/dassi) | [Workable](https://openaitools.app/tool/workable) |
| :--- | :--- | :--- |
| Website URL | https://dassi.ai | https://www.workable.com |
| Categories | AI Agent, AI Workflow, AI Browsers, AI Productivity Tools | AI Recruiting, AI Agent, AI CRM |
| Pricing Model | Freemium | Free Trial, Paid |
| Monthly Visits | 12,194 | 10,780,627 |
| MoM Growth Rate | +57.9% | +5.5% |
| Primary Market | India | United States |
| Direct Visits | 7,443 | 5,309,440 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## dassi

dassi installs as a side panel in Chrome, Edge, or Brave, so it uses tabs you are already signed into rather than a fresh browser or an API integration. Teaching it is deliberately manual the first time: you either describe the job in plain English or demonstrate it while dassi watches and reads the pages itself. From there you set the constraints — which sites it may touch, what varies each run, when it fires, where output goes, and which steps must be confirmed by you before they happen. Runs happen locally on your machine, which means your browser needs to be open when a scheduled run comes due.

The product's real argument is cost discipline on repeat work. dassi keeps each job's context byte-stable inside a run so repeated steps read from your model provider's prompt cache, cutting input token spend substantially on models that support caching. As it works a site, it also writes itself a small JavaScript helper library for that site, so later runs call a function instead of re-deriving selectors from screenshots and HTML each time. Corrections you make are stored in an editable memory that carries into future runs instead of being lost with the chat.

You choose the engine: Claude, GPT, Gemini, Grok, DeepSeek, Kimi, or another OpenRouter model, with your own key or included credits, switchable at any time. Typical shapes of work are reconciliation (matching payouts to orders), screening (scoring applicants into an ATS), and reporting (assembling a weekly dashboard into your own template). When a run hits something ambiguous, dassi stops and asks — in the side panel, or over Telegram if you are away from your desk.

**Pricing & Plans:** Currently in beta with free credits that do not expire and no credit card required to start. Model usage can be billed through your own provider API key or through dassi's included credits. A separate Enterprise offering is available for teams; check the pricing page for current tiers and credit rates.

- **Teach-once workflows:** Describe a job in plain English or demonstrate it once; dassi saves it as a named workflow with a plan, sites, inputs, and a run history.
- **Scheduled or on-demand runs:** Trigger a workflow manually or let its schedule fire, receiving a completion notice or an exception that only you can decide.
- **Human approval gates:** Flag the steps that must be confirmed — sending an email, opening a support case, rejecting a candidate — and approve from the side panel or Telegram.
- **Editable task memory:** Corrections you give about a supplier, column, or tone are written into a memory you can read and edit, so they apply to the next run.
- **Token and site-skill efficiency:** Byte-stable context enables provider prompt caching for large input savings, while learned per-site JavaScript libraries replace repeated DOM re-derivation.

**Strengths:** Runs in the browser you already have, on accounts you are already signed into, with no integrations to wire up; Model-agnostic: bring Claude, GPT, Gemini, or any OpenRouter model with your own key; Caching and learned site skills make repeated jobs progressively cheaper than a fresh chat each time; Explicit approval checkpoints plus local execution keep credentials out of the agent's hands

**Limitations:** Scheduled runs require your browser to be open and the machine awake at the trigger time; You must teach each job before it becomes reliable, so the first run is a real time investment; Currently labeled beta, so feature surface and credit pricing may still shift

[Profile (Markdown)](https://openaitools.app/tool/dassi.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 dassi and Workable compare in monthly traffic?

dassi has 12,194 monthly visits, while Workable has 10,780,627. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

dassi has a month-over-month growth rate of +57.9%; Workable has +5.5%.

### How does pricing compare?

dassi: Freemium. Currently in beta with free credits that do not expire and no credit card required to start. Model usage can be billed through your own provider API key or through dassi's included credits. A separate Enterprise offering is available for teams; check the pricing page for current tiers and credit rates. 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 | [Muse](https://openaitools.app/tool/muse-ai-1) | 45,751,822 | +228.3% | Contact for Pricing | Your personal AI agent from Meta that actually gets things done | [.md](https://openaitools.app/tool/muse-ai-1.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) |
| 4 | [Dia Browser](https://openaitools.app/tool/dia-browser) | 1,254,172 | +108.4% | Free | The AI browser that reads between your tabs | [.md](https://openaitools.app/tool/dia-browser.md) |
| 5 | [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) |
| 6 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | Provides an AI-native ATS with automated sourcing and CRM, but has a steeper learning curve than Workable. | [.md](https://openaitools.app/tool/kula-ai.md) |
| 9 | [Manatal](https://openaitools.app/tool/manatal) | 459,004 | -1% | Free Trial, Paid | Combines an applicant tracking system with powerful AI candidate matching, but offers less built-in employee onboarding. | [.md](https://openaitools.app/tool/manatal.md) |
| 10 | [Sense](https://openaitools.app/tool/sensehq-com) | 435,090 | -5.8% | Contact for Pricing | Automates candidate engagement and communication using AI agents, but focuses less on traditional ATS pipeline management. | [.md](https://openaitools.app/tool/sensehq-com.md) |

---
Source: https://openaitools.app/compare/dassi-vs-workable

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
