Lovable hosted builder vs Grain artifact hub

Quick answer

Lovable bundles its own agent with hosting, including a built-in Cloud backend and a native Supabase path. Grain does not compete for the generation step. Your existing CLI agent writes the project, then Grain supplies a workspace, URL, controlled sharing and optional Postgres, logins and scheduled jobs. The practical decision is whether you want a guided browser builder paid through build credits or an agent-neutral publishing layer paid separately from your model plan.

Fit first

What is different, verifiably

Where Lovable is better

• You want a single browser workflow to interpret the prompt, generate the application, attach a backend and publish it. Grain expects you to bring the agent and files.
• You prefer a native Supabase integration or Lovable Cloud over asking a coding agent to build against workspace Postgres.
• You want nontechnical collaborators to participate in a guided builder instead of working through a CLI agent and local project.
• You value zip, GitHub or GitLab transfer as the documented exit path from a generated project.

Where Grain is better

• You already pay for Claude Code, Codex or Cursor and want that agent to remain the author. Grain does not add generation credits or mark up tokens.
• You do not want the workflow governed by Lovable's daily build credits and monthly cloud credits because an existing CLI agent already produces the files.
• Your backend should be workspace Postgres rather than Lovable's built-in backend or native Supabase path, and the published work needs an explicit keep-live promise.
• Your review loop happens on the artifact. Readers can comment, and the agent can read and act on those comments.
• You want exportable files plus a self-hostable publishing core, not only export from a hosted builder.

Moving between them

1. From Lovable to Grain: export the codebase as a zip or transfer it to GitHub or GitLab, then place the repository in a local folder. Builder prompts, credit history and Lovable workspace settings are not source files.
2. Run grain init in the folder. Grain creates a workspace and writes .mcp.json, .codex/config.toml and .cursor/mcp.json for the supported agents unless configuration is skipped.
3. Ask your agent to map the app's backend assumptions. If it uses Lovable Cloud or Supabase, migrate schema and data deliberately to workspace Postgres. Database contents never move merely because the source code moves.
4. Run grain push, grain checkpoint -m "import Lovable app", then grain share --public or a password share. Verify login, data writes and jobs at the returned share URL.
5. From Grain to Lovable: use grain pull to fetch files, put them in the repository flow Lovable accepts, and recreate external services in the target. Grain comments, share permissions, Postgres contents, scheduled jobs and custom-domain records do not travel with the files.

Choice rule

Choose Lovable

if you want one browser product to generate, revise, back and host the application, and its credit model fits your workload.

Choose Grain

if your own CLI agent already builds the work and you need a persistent, shareable home without another token bill.

Use both

if Lovable accelerates an initial full-stack draft, then exported files move to your agent's normal workflow and Grain hosts review artifacts.

Frequently asked questions