Reducing Bubble App Load Time with Lazy Loading Techniques

You can reduce Bubble app load time by delaying searches until users need their results. Constrain each search, simplify repeating-group content, and avoid loading inactive views.

This guide explains how to organize lazy loading, pagination, visibility-based loading, and data processing without changing the main purpose of your app.

Understanding Lazy Loading

Lazy loading means deferring work until it is needed. For a Bubble app, this can include repeating-group data, tab content, reports, and other information that does not need to appear when the page opens.

Start by separating the page structure from its data. Create the interface first, then use workflows and visibility conditions to decide when each part should run its search and display its results.

Replacing Static Data Sources with Custom States

Begin by identifying repeating groups that search for data as soon as the page opens. Replace those automatic searches with custom states.

Use the same data type for the custom state and the repeating group. Leave the state empty at first, then populate it through a workflow when the user clicks a control, opens a tab, or reaches content that needs to load.

For example, a dashboard can show an empty tab and load its records only after the user selects it. This keeps unrelated content out of the initial page request.

Loading Content as Users Scroll

You can imitate visibility-based lazy loading with a workflow. Place a small trigger group near the end of the visible content and configure a workflow to run when that group becomes visible.

The workflow should:

• Check whether more content is available.
• Prevent another request while one is running.
• Fetch the next set of records.
• Add those records to the displayed list.
• Show a loading indicator when needed.
• Stop when no more records are available.

Use a loading indicator so users understand that the app is responding. Guard the workflow to prevent the same content from being requested repeatedly.

Conditional Data Fetching with URL Parameters

Pagination controls what users see, but they do not necessarily control how much data the app requests. Constrain each search to the results needed for the selected page or view.

Use URL parameters when users should be able to share or revisit a particular page, filter, or tab. Read the parameter when the page loads, then use it to define the search constraints.

For sequential lists, store the last displayed record and use it as a cursor. The next search can request records that continue from that point instead of retrieving and skipping everything before it.

Test the behavior with empty results, repeated clicks, invalid parameters, and the final page.

Optimizing Repeating Group Cell Content

Review every repeating-group cell and remove work that repeats for each row. Avoid searches, calculations, and data lookups inside cells when the parent workflow can prepare those values first.

Move filtering, grouping, status calculation, and related-record lookups into a workflow. Store the results on the parent record or in a custom state before displaying the group.

Keep conditions simple. Move repeated decisions into a clearly named status field or custom state so each cell can display the result without rebuilding it repeatedly.

Check nested groups, dynamic visibility rules, formatted text, and conditional formatting because they can make a simple list more demanding to render.

Moving Heavy Work Out of the Page

Use a backend workflow when the browser does not need to perform several searches, calculations, or transformations. Have the workflow return only the information the page needs to display.

This approach is useful for reports, summaries, exports, and other work involving several related searches. Keep the browser responsible for interaction and display rather than running every intermediate step.

Break lengthy processing into manageable stages. Add checks for failed operations, incomplete results, and workflows that are already running.

Preloading Without Overloading the Page

Lazy loading can feel unnecessary when users request the same data repeatedly. You can prepare likely next-step content during an intentional user action and store it until it is needed.

For example, a workflow can prepare tab data when the user focuses a tab control. When the user selects that tab, the workflow can display the prepared custom state instead of starting another search.

Do not preload every possible view. Choose interactions that indicate clear intent, avoid duplicate requests, and make sure prepared data is still relevant when it is displayed.

Reviewing Data Freshness

Custom states may reset when users move between pages, so decide whether each view needs fresh data or can reuse prepared results. If reused data could be stale, add a clear refresh control and update path.

Avoid storing sensitive information in browser storage. If you add browser-based storage, define how data expires, when it must be removed, and what happens when stored data no longer matches the app’s current format.

FAQ

How much improvement should I expect from lazy loading?

It depends on what your page initially requests and how much content each view renders. Measure the page before changing it, apply the techniques that match your app, and compare the initial request, displayed content, and user workflow afterward.

How many records should each lazy-loaded request return?

Choose a batch that keeps each response useful without making rendering or repeated requests excessive. Adjust it based on the size and complexity of each item, then test scrolling and filtering with realistic data.

Does lazy loading affect public-page visibility?

Lazy loading can make some content harder for automated tools to discover or access. For public pages, keep essential content available on the initial page, provide links to other views, and confirm that navigation and shared URLs work without requiring a scroll gesture.

Which areas should I check first?

Start with repeating groups that request data automatically, searches inside cells, inactive tabs, and large reports. Those areas often provide the clearest opportunities to defer or simplify work.

Final Checklist

Before publishing your changes:

• Identify every search that runs when a page opens.
• Move deferred results into custom states.
• Constrain pagination and filter searches.
• Prevent duplicate visibility-triggered requests.
• Move repeated cell calculations into workflows.
• Use backend workflows for multi-step processing.
• Preload only content connected to a clear user action.
• Check empty, invalid, and final states.
• Review data freshness and browser storage.
• Compare the revised page with the original using your normal workflow and browser tools.