Add Sign in with Lovable to any website
Update2 days agoUnverifiedAdded Oct 16, 2026
You can now let people sign in to your website with their Lovable account , including a site you did not build with Lovable. Add one script tag and a button, and your site receives the person's name, email address, and picture, depending on which of those you ask for.
Topics: Governance, Security, Pricing
More Lovable releases
Every Lovable releaseGrowth tools: from building your app to growing it
Lovable now helps you find customers, from the same chat where you build. Set a goal such as "my first 100 signups", and Growth tools turn it into a plan built from your app, your audience, and your traffic. Lovable tells you what to fix first, and says so when ads are premature. Growth advice that knows your app.
Connect your apps to Lovable with OAuth
Workspace admins and owners can now register OAuth clients under Workspace settings → API keys & OAuth → OAuth clients . An OAuth client lets your app ask each user to allow access to their profile, projects, or workspaces, and gives you a client ID and, for a Web server client, a client secret.
Let your app's users sign in with their Lovable account
In an app with Lovable Cloud, you can now let your users sign in with their Lovable account . Enable it in your project's auth settings, or ask Lovable in the project chat to add the button. Lovable registers the sign-in for your project and keeps it current when your app's address changes.
Ask Lovable what drives your run credit usage
You can now ask Lovable what drives run credit usage in the project chat. Lovable reads the recorded usage, investigates the app's scheduled jobs, functions, database, storage, and AI activity, traces what it finds to the project's code, and proposes fixes. Lovable makes a change only when you ask for it.
Connect your app to Bing Webmaster Tools
You can now connect your Lovable app to Bing Webmaster Tools to read clicks, impressions, top queries, and crawl stats for the sites verified in your Bing Webmaster Tools account, and to submit URLs and sitemaps. It fits search dashboards, crawl monitors, and tools that send new pages or feeds to Bing.
Restore a deleted project yourself
You can now restore a deleted project for 60 days after you delete it. Select Restore under Recently deleted projects in your workspace settings. The project returns with its code, version history, and chat history, and a paused Cloud backend resumes. You can restore the projects you own.
Restore a deleted workspace yourself
Workspace owners on Free, Pro, and Business plans can now restore a deleted workspace , with its projects and members, for 60 days after deleting it. Select Restore under Recently deleted workspaces in your account settings. If the workspace's subscription ended while it was deleted, the workspace returns on the Free plan.
Export audit logs to your SIEM or cloud storage
Workspace admins and owners on Enterprise plans can now schedule exports of the workspace's audit logs to Amazon S3, Google Cloud Storage, Azure Blob Storage, Splunk, or Azure Log Analytics.
Also shipped on Oct 14, 2026
Lovable in October 2026Workspace-level package repositories for Databricks Apps are generally available
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA)
The Apache Hive catalog endpoint in the Lakehouse runtime catalog is now generally available (GA). This integration lets you use the metastore as a serverless, central metadata layer, enabling seamless data sharing and unified querying across Apache Spark, Apache Hive, and BigQuery.
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA)
Metadata migration from Dataproc Metastore to Lakehouse is now generally available (GA). You can perform a one-time backfill migration or dry run to migrate metadata from a Dataproc Metastore service to an Apache Iceberg REST catalog endpoint or a Hive catalog endpoint using the Google Cloud console, the gcloud CLI, or the REST API.
Conversational analytics now lets you create a conversation with all of the data sources in multiple...
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise
You can publish a BigQuery Conversational Analytics agent in Gemini Enterprise . This feature is now generally available (GA).
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the...
The AI.AGG function now supports the output_schema argument, which lets you specify the schema of the function output as a comma-separated list of fields. This feature is generally available (GA).