# Dust vs Hackmamba

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Hackmamba records 10,444 monthly visits with -19.2% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Hackmamba](https://openaitools.app/tool/hackmamba) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://www.hackmamba.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Marketing, AI Digital Marketing, AI Writing |
| Pricing Model | Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 547,217 | 10,444 |
| MoM Growth Rate | +1.8% | -19.2% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 3,519 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## Hackmamba

Hackmamba is a developer marketing agency that works with infrastructure, API, and developer-tool companies. Its premise is that developer adoption follows a specific funnel — qualified attention, self-service conviction, rapid adoption, organic advocacy, and compounding efficiency — and that most companies lose developers somewhere in the middle because either the content lacks technical depth or the documentation cannot carry someone to a working integration. Its Developer Adoption Architecture maps those five stages to six disciplines so a programme can be planned end to end.

The six disciplines are strategy and leadership, technical content marketing, technical documentation, developer relations, paid media, and tech influencer marketing. In practice that means technical tutorials and guides, GEO-aware SEO, getting-started flows and API references (Mintlify documentation is a named service), community and hackathon programmes, DX audits, and paid campaigns aimed at developer activation rather than generic reach. The agency positions itself as an embedded extension of client teams rather than an outside vendor.

Hackmamba publishes concrete results rather than vague claims: 49,139 organic clicks in three months for OpenRouter across 39 technical articles, a 46% increase in lead-to-SQL submission rate for Lumana, a 50% reduction in integration time for Celo after a documentation restructure, and a programme that helped Actian's VectorAI DB reach over 1M developers. It reports publishing 1,700+ pieces and influencing more than $400M in pipeline, with clients including Cloudinary, Auth0, appwrite, Netlify, and Sourcegraph.

**Pricing & Plans:** Pricing is not published. Engagements are scoped after a discovery call, with rates quoted per programme based on content volume, channels, and duration. A free planning playbook is offered as a starting point.

- **Technical content marketing:** Tutorials, guides, thought leadership, video content, and GEO-friendly SEO that meet developers at the moment they are searching for a solution.
- **Documentation and onboarding:** Getting started flows, API references, restructures, and Mintlify builds designed to shorten time-to-first-working-build and cut support tickets.
- **Developer relations and DevRel:** Programmes spanning developer community, education, champions, hackathons, and DX audits to drive real adoption rather than raw signups.
- **Paid media for developer audiences:** Paid campaigns and PPC built around developer activation, wired to the same journeys as the organic content.
- **Developer Adoption Architecture:** A five-stage framework that ties discovery, evaluation, integration, advocacy, and compounding efficiency into one governed programme.

**Strengths:** Narrowly specialised in developer audiences rather than general B2B marketing; Covers the full funnel instead of just content or just paid; Documentation capability, including Mintlify builds and full restructures; Named clients and published performance numbers rather than generic claims

**Limitations:** Pricing is quoted per engagement, so costs are not transparent up front; Best value for companies already investing seriously in developer growth, not tiny teams; Agency engagements require internal time for briefs, reviews, and product access; Results depend heavily on how much product documentation and access you can give them

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

## Frequently Asked Questions

### How do Dust and Hackmamba compare in monthly traffic?

Dust has 547,217 monthly visits, while Hackmamba has 10,444. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Hackmamba has -19.2%.

### How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Hackmamba: Free Trial, Contact for Pricing. Pricing is not published. Engagements are scoped after a discovery call, with rates quoted per programme based on content volume, channels, and duration. A free planning playbook is offered as a starting point.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [Capafy AI](https://openaitools.app/tool/capafy-ai) | 796,776 | +92.1% | Free Trial, Paid | Agent Skills marketplace where experts sell their know-how | [.md](https://openaitools.app/tool/capafy-ai.md) |
| 6 | [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) |
| 7 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 9 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |
| 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |

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Source: https://openaitools.app/compare/dust-vs-hackmamba

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