AI Website Builder by beehiiv vs Laguna by Poolside: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AI Website Builder by beehiiv and Laguna by Poolside — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AI Website Builder by beehiiv
beehiiv
Chat-driven website builder that generates on‑brand sites and landing pages, refined via a no-code drag-and-drop editor and integrated with newsletters.
Key features
- Chat‑to‑Site Creation: Generate a complete website or landing page by providing a natural‑language prompt; AI produces layout, copy, and initial styles to accelerate first drafts.
- Brand‑Aware Design: AI analyzes and applies brand elements (colors, fonts, tone) so generated pages are consistent with a creator's newsletter identity and visual style.
- Visual Drag‑and‑Drop Editor: Styles, Layout, and Settings tabs let users refine AI output with no code—adjust spacing, typography, colors, and component arrangement in a live editor.
- Newsletter Integration: Built‑in connection to beehiiv's newsletter system enables simultaneous launch of website and newsletter signup flows, syncing subscription CTAs and forms.
- Templates and Presets: Offers starter templates and style presets that the AI can adapt, speeding iterations and ensuring production‑ready pages for landing, about, and archive pages.
- No‑Code Publishing & Hosting: Publish sites without developer involvement; hosting and site publishing are managed within beehiiv for quick go‑live.
- Iterative Refinement & Approval: Chat and refine workflow allows creators to request revisions from the AI and approve final designs before publishing.
- Responsive Layouts: Generates responsive pages and landing sections optimized for desktop and mobile viewing, reducing manual responsive adjustments.
- Chat-driven site generation from a text prompt
- No-code drag-and-drop editor for fine-tuning pages
- Styles, Layout, and Settings panels for color and font customization
- Support for multiple landing pages
- Lead magnet integration for subscriber capture
- Simultaneous website and newsletter launch and integration
- Template and layout customization without developers
Best for
- Launch a creator website and newsletter simultaneously: Quickly generate a homepage, signup landing page, and archive that are tied to your beehiiv newsletter subscription flow.
- Create on‑brand landing pages for subscriber acquisition: Produce conversion‑focused landing pages tailored to a campaign or lead magnet with consistent brand styling.
- Rapid MVP site for a new project: Build a production‑ready site in minutes to validate audience interest without hiring designers or engineers.
- Site redesign and rebranding: Use AI to propose updated layouts and copy that reflect new brand colors and tone, then finalize with the editor.
- Build monetized newsletter funnels: Create pages that promote premium subscriptions, memberships, or products while integrating beehiiv signup and payment flows.
- Creators launching a newsletter and website at the same time
- Rapidly generating a professional site prototype from a prompt
- Building landing pages for lead capture and growth campaigns
- Non-technical users customizing site styles and layouts without code
- Monetizing an audience through integrated newsletter workflows
Laguna by Poolside
Poolside
Poolside's family of open Mixture-of-Experts foundation models for agentic coding — XS.2 runs locally, M.1 reaches 72.5% on SWE-bench Verified.
Key features
- Two Model Sizes: Laguna XS.2 (33B total / 3B active) and Laguna M.1 (225B total / 23B active) target different latency and capability needs.
- Mixture-of-Experts Architecture: Routes each token through a subset of experts for efficiency at large scale.
- Local Deployment: XS.2 is small enough to run on a Mac with 36 GB of RAM via Ollama under an Apache 2.0 license.
- Strong SWE-bench Results: XS.2 hits 68.2% and M.1 reaches 72.5% on SWE-bench Verified.
- Bundled Coding Agent: Ships 'pool,' a lightweight terminal-based coding agent.
- Agent Client Protocol: Includes a dual ACP client-server used internally for agent RL training and evaluation.
Best for
- Local Agentic Coding: Running XS.2 on a laptop for private, offline code generation and editing.
- High-Capability Code Tasks: Using M.1 for harder, long-horizon software engineering work.
- Self-Hosted Deployments: Building on open weights to avoid third-party API dependencies.
- Research & Fine-Tuning: Adapting permissively licensed weights for custom coding workflows.
- Benchmarking: Evaluating agentic coding performance against SWE-bench Verified and Pro.