A lot of builders can create apps now.

Base44, AI tools, vibe coding platforms, no-code tools, and low-code systems have made it easier than ever to turn an idea into something real.

But here’s the part I keep seeing:

People build the app…

Then they get stuck.

- They do not know how to position it.
- They do not know who the real audience is.
- They do not know what to say on the landing page.
- They do not know how to price it.
- They do not know where to find first users.
- They do not know what to post.
- They do not know how to launch without feeling like they are yelling into the void.

So I’m building Launch Pad

It is a guided product launch lab for app creators.

The idea is simple:

You bring the app. → I help you build the launch system around it.

Inside Launch Pad, members will get:

- Guided training
- Launch planning tools
- Positioning help
- Offer and pricing strategy
- Landing page copy guidance
- Content planning
- First-user strategy
- App feedback
- Community support
- Direct recommendations from me

This is not just another course where you watch videos and disappear.

It is designed to be hands-on.

- You work through the tools.
- You complete the assignments.
- You share what you are building.
- You get feedback.
- You improve the offer.
- You build the launch plan.
- You learn repeatable go-to-market strategies you can use again and again.

The goal is to help app creators stop building in silence and start launching with clarity.

If you have an app you built, are building, or keep saying you are “almost ready” to launch, this is for you.

I’m opening this up as a founding group soon.

Drop a comment if you want early access or want me to send details when it opens.

A comprehensive 25-phase performance audit prompt for Base44 apps. Covers Core Web Vitals, PageSpeed, frontend efficiency, backend optimization, image/video tuning, data fetching, dashboards, mobile performance, and more — without breaking design, auth, or features.

https://kodebase.us/prompts/base44-full-performance-audit-optimization

Here is a prompt that helps app owners work around the 5,000 record display limit by moving search and filtering into a backend function.

Instead of loading thousands of records on the frontend, this prompt tells Base44 to create a server-side search flow that filters records before returning results. It improves performance, supports larger datasets, adds debounced search, keeps permissions secure, and returns only the records users actually need to see.

For more prompts like this. Check out my site https://kodebase.us

Scan my entire Base44 app before making changes.

I need to work around the 5,000 record display/fetch limit by moving search and filtering logic from the frontend into a backend function.

Goal:
Create a backend search function that queries the entity directly on the server, applies filtering before the result limit, and returns a smaller list of matching records to the frontend.

Important:
Do not change the existing UI design unless required.
Do not remove existing features.
Do not duplicate existing functions.
Reuse my current app patterns, entities, naming conventions, and permission structure.

Tasks:

1. Identify the entity currently being searched or filtered on the frontend.

2. Find the current search bar, filter UI, table, list, or dashboard that is trying to load or filter too many records.

3. Create a backend function called something like:
searchRecords
or use a better name based on the entity.

4. The backend function should accept:
- searchTerm
- optional filters
- page
- limit

5. Inside the backend function, use Base44 entity filtering with a server-side query.

Use this pattern as the base:

base44.entities.[EntityName].filter({
  $or: [
    { fieldName1: { $regex: searchTerm, $options: "i" } },
    { fieldName2: { $regex: searchTerm, $options: "i" } },
    { fieldName3: { $regex: searchTerm, $options: "i" } }
  ]
}, {
  limit: 50
})

6. Replace fieldName1, fieldName2, and fieldName3 with the actual searchable fields from my entity.

7. If this entity requires admin-level access, use:

base44.asServiceRole.entities.[EntityName].filter()

Only use service role if needed and only inside the backend function.

8. Update the frontend search bar so it calls the backend function instead of loading all records and filtering client-side.

9. Add debounced search so the function is not called on every keystroke instantly.

10. Return only the records needed for display.

11. Add loading, empty state, and error handling.

12. Make sure permissions remain secure:
- Regular users should only see records they are allowed to access.
- Admin users can search across records only if the app already allows that.
- Do not expose private records through this workaround.

13. After implementation, test:
- Searching records that appear past the 5,000 record display limit
- Empty search
- No results found
- Partial matches
- Uppercase/lowercase searches
- Permission-restricted records
- Admin vs normal user access

Final output:
Explain what you changed, what backend function was created, what frontend files were updated, and how the new search flow avoids the 5,000 record display limit.

For a limited time, my ER Service Audit + Fix and Security Audit + Fix are both only $62.50.

https://kodebase.us/specials

That includes the full audit, written report, fix prompts, and I’ll implement the fixes directly in your app.

✅ Bugs
✅ Broken flows
✅ UI issues
✅ Permission/RLS problems
✅ Security gaps
✅ Backend function risks
✅ Code cleanup
✅ Fixes included

Same expert work. Same deliverables. Half the price - All work has a 90 day guarantee

If your Base44 app needs a serious cleanup or security review, now is the time.

For years, businesses have been told to rent their tools — CRMs, project management systems, websites, automation platforms… all locked behind monthly subscriptions that never end.

But something is changing.

Businesses are starting to realize they don’t need “one-size-fits-all” software anymore.

They need systems built specifically for how they actually operate — and they can own them.

We just broke this down in a new presentation:

https://theshift.kodeagency.us/

If you run a business, this is something you need to see. The way companies use software is about to change completely.

— The Shift is already starting.

Any interest in a live build session where I build this system in another app?

Stop burning credits trying to brute-force prompts into a product.

I built KodeBase Pro because I got tired of seeing people spend hundreds on AI tools just to end up with scattered prompts, broken flows, and unfinished apps.

KodeBase Pro gives you the full system I personally use to go from:
idea → architecture → prompts → audits → shipped product

https://kodebase.us/pro-membership

For $15/month you get unlimited access to:

• MVP Mapper
• Prompt Studio
• Prompt Analyzer
• Prompt Engine
• Code Review
• KodeAudit
• Sentinel
• API Library
• Every new tool we release

No credit caps.
No “starter tier” nonsense.
No paying extra for every feature.

This isn’t another AI wrapper.

It’s an entire product-building workflow designed to help builders ship faster, cleaner, and with less wasted time and money.

Built by me — Will Kode — after 30 years of development and shipping real-world software.

Secure checkout through Square. Cancel anytime.

If you're building with AI seriously, this will save you an absurd amount of time.

Building with Base44 and need an experienced developer who can actually ship?

I’m currently available for freelance Base44 projects.

• SaaS platforms
• AI integrations
• Dashboards
• Automation systems
• Custom workflows
• Full-stack development
• UI/UX + performance optimization

20+ years in development, 15+ years in digital marketing, and deep into AI-first product development.

If you need someone who understands both the technical side and the business side, DM me or visit https://kodebase.us to learn more.

Updated the old prompt to really expand this out. Find other prompts just like this at https://kodebase.us

You are a senior full-stack debugging, observability, and platform reliability engineer. Your task is to implement a production-grade debugging and observability layer across this entire application without breaking existing functionality. The system must make it dramatically easier to: The implementation should feel clean, centralized, scalable, and developer-friendly. ================================================== PRIMARY GOALS Build a centralized observability system that includes: The system should support both: ================================================== CORE REQUIREMENTS Implement a centralized frontend error handling system that captures: Capture the following metadata whenever possible: Normalize unknown thrown values into readable safe error objects. ==================================================
2. CENTRALIZED LOGGER SYSTEM Create a reusable centralized logging utility used across the entire app. Required API: Each logger call must support: Logs should be: Replace scattered/random console.log usage with the shared logger. ==================================================
3. DEBUG LEVELS Support logging levels: Development: Production: Allow configurable log levels via: ==================================================
4. ERROR NORMALIZATION + REDACTION Create centralized utilities for: Automatically redact: Prevent accidental sensitive data leakage in logs. ==================================================
5. GLOBAL REQUEST/NETWORK OBSERVABILITY Instrument all network/API/entity operations. Capture: Track: Surface these inside: ==================================================
6. BACKEND / SERVER FUNCTION PROTECTION Wrap all backend/server actions/functions with standardized error handling. Requirements: Capture: Do NOT expose raw internal errors to end users. ==================================================
7. ERROR BOUNDARY + FAILURE UI Add reusable application error boundaries. Requirements: The fallback UI should: ==================================================
8. DEBUG MODE SYSTEM Implement a centralized debug mode controller. Debug mode should support: Enable debug mode via: Example: ==================================================
9. RECENT ERROR + EVENT HISTORY STORE Create an in-app diagnostics store that tracks: Each history entry should include: Requirements: ==================================================
10. BREADCRUMBS + EVENT TRAILS Implement automatic breadcrumb/event trail tracking. Track important events such as: Breadcrumbs should help reconstruct: ==================================================
11. DEVELOPER DEBUG PANEL Add a hidden or admin-only developer debug panel. The panel must include toggles/filters for: IMPORTANT:
The debug panel MUST explicitly include: These toggles should control visibility/filtering of the diagnostics feed. The debug panel should also display: Additional requirements: The panel should be: ==================================================
12. CONTEXT-AWARE LOGGING Whenever possible attach contextual metadata automatically: The goal is actionable logs, not generic logs. ==================================================
13. PERFORMANCE DIAGNOSTICS Add lightweight performance instrumentation for: Capture: Expose slow operations inside: ==================================================
14. SAFE PRODUCTION BEHAVIOR Production behavior must remain safe and performant. Requirements: ==================================================
15. ARCHITECTURE + CODE QUALITY Implementation requirements: Prefer: ==================================================
16. DEVELOPER DOCUMENTATION Add clear comments and documentation explaining: ================================================== REQUIRED DELIVERABLES After implementation provide: ================================================== BONUS FEATURES (IF ARCHITECTURE SUPPORTS THEM) Add support for: ================================================== IMPLEMENTATION REQUIREMENTS detect issues structured logging development debugging GLOBAL FRONTEND ERROR CAPTURE runtime JavaScript errors error message logInfo() message structured trace verbose logging enabled suppress noisy logs automatically environment variables normalizeError() passwords request method failed requests console logs centralized try/catch wrappers function name prevent full app crashes remain minimal for users verbose logs environment flag ?debug=true errors timestamp memory-safe route changes what the user did Errors a toggle for "Errors" recent errors searchable/filterable logs hidden behind debug mode current page slow renders duration logger no secret leakage modular architecture middleware/interceptors where errors are captured Complete summary of improvements correlation/request ids Do the implementation now trace failures inspect app behavior debug state changes monitor failed requests investigate user-reported bugs diagnose production incidents frontend/global error capture backend error tracing request diagnostics reusable logger utilities debug tooling in-app issue history developer diagnostics UI safe production behavior contextual tracing breadcrumbs and event trails production-safe diagnostics unhandled promise rejections React/Vue/component render crashes failed async operations failed API requests state/action failures hydration/render issues if applicable normalized error type stack trace source file/module line/column if available route/page timestamp current user id organization/workspace/account id entity name record id action being performed browser/device info environment session id correlation/request id logWarn() logError() logDebug() logTrace() createScopedLogger() error object metadata/context object tags correlation id performance timing optional breadcrumb creation grouped searchable timestamped colorized in development if supported minimal/noisy-safe in production debug info warn error fatal only warnings/errors/fatal visible by default debug settings local storage override serializeError() redactSensitiveData() auth tokens API keys secrets cookies session tokens payment details sensitive headers endpoint entity name operation type payload summary response status request duration retry count correlation id failure reason safe response body timeout/cancellation info slow requests retry loops repeated failures debug panel recent history store standardized failure responses structured server logs correlation id propagation request timing safe client-facing messages endpoint user id payload summary stack trace execution time failure classification isolate broken components graceful fallback UI retry/reset support if possible developer diagnostics section in dev mode expandable stack trace/details automatic logger integration remain detailed for developers in debug mode diagnostics overlays app state tracing breadcrumb visibility request tracing performance timing debug panel visibility event history visibility localStorage flag query parameter optional keyboard shortcut localStorage.DEBUG_MODE = "true" warnings failed requests breadcrumbs important app events navigation changes state mutations if appropriate severity message source stack route metadata correlation id tags capped history size optional localStorage persistence auto-pruning fast retrieval button actions entity updates form submissions modal opens failed validations API calls authentication changes what happened before a crash Warnings Info Logs Debug Logs Trace Logs Failed Requests Slow Requests Breadcrumb Trails Event Trails Network Activity State Changes if supported a toggle for "All Logs" a toggle for "Trails" recent warnings failed requests breadcrumb history current route current user environment info active feature flags correlation ids performance metrics recent app events collapsible metadata copy-to-clipboard support expandable stack traces clear severity indicators auto-refreshing live feed if possible admin-only if auth exists lightweight and non-invasive current route current user workspace/account/org active entity selected record id action being executed request id session id slow API calls expensive actions long-running async tasks thresholds operation name related route/entity debug panel event history no excessive spam logging throttle repeated identical logs prevent recursive logging loops avoid large payload dumps avoid performance degradation keep memory usage bounded reusable utilities centralized observability layer minimal disruption to existing flows preserve business logic avoid duplicated logging logic follow existing project patterns where reasonable shared utilities wrappers/hooks provider-based architecture how logger architecture works how debug mode is enabled how to inspect logs/history how correlation ids work how to add new observability hooks how developers should use the logger utilities Files created Files updated Logger architecture overview Debug mode enable instructions Debug panel access instructions Error history inspection instructions Example logger usage Example breadcrumb usage Production safety measures implemented Remaining limitations or future recommendations distributed tracing preparation performance marks/timers automatic breadcrumbs network interceptors Redux/Zustand/store instrumentation feature-flag-aware logging external monitoring service adapter interface offline log queueing export diagnostics bundle copyable crash report generation Do not provide only recommendations Write production-quality code Preserve existing app functionality Reuse existing architecture patterns where possible Prefer maintainable abstractions over hacks Avoid unnecessary UI redesigns Keep developer experience excellentUpdated the old prompt to really expand this out.You are a senior full-stack debugging, observability, and platform reliability engineer. Your task is to implement a production-grade debugging and observability layer across this entire application without breaking existing functionality. The system must make it dramatically easier to: The implementation should feel clean, centralized, scalable, and developer-friendly. ================================================== PRIMARY GOALS Build a centralized observability system that includes: The system should support both: ================================================== CORE REQUIREMENTS Implement a centralized frontend error handling system that captures: Capture the following metadata whenever possible: Normalize unknown thrown values into readable safe error objects. ==================================================
2. CENTRALIZED LOGGER SYSTEM Create a reusable centralized logging utility used across the entire app. Required API: Each logger call must support: Logs should be: Replace scattered/random console.log usage with the shared logger. ==================================================
3. DEBUG LEVELS Support logging levels: Development: Production: Allow configurable log levels via: ==================================================
4. ERROR NORMALIZATION + REDACTION Create centralized utilities for: Automatically redact: Prevent accidental sensitive data leakage in logs. ==================================================
5. GLOBAL REQUEST/NETWORK OBSERVABILITY Instrument all network/API/entity operations. Capture: Track: Surface these inside: ==================================================
6. BACKEND / SERVER FUNCTION PROTECTION Wrap all backend/server actions/functions with standardized error handling. Requirements: Capture: Do NOT expose raw internal errors to end users. ==================================================
7. ERROR BOUNDARY + FAILURE UI Add reusable application error boundaries. Requirements: The fallback UI should: ==================================================
8. DEBUG MODE SYSTEM Implement a centralized debug mode controller. Debug mode should support: Enable debug mode via: Example: ==================================================
9. RECENT ERROR + EVENT HISTORY STORE Create an in-app diagnostics store that tracks: Each history entry should include: Requirements: ==================================================
10. BREADCRUMBS + EVENT TRAILS Implement automatic breadcrumb/event trail tracking. Track important events such as: Breadcrumbs should help reconstruct: ==================================================
11. DEVELOPER DEBUG PANEL Add a hidden or admin-only developer debug panel. The panel must include toggles/filters for: IMPORTANT:
The debug panel MUST explicitly include: These toggles should control visibility/filtering of the diagnostics feed. The debug panel should also display: Additional requirements: The panel should be: ==================================================
12. CONTEXT-AWARE LOGGING Whenever possible attach contextual metadata automatically: The goal is actionable logs, not generic logs. ==================================================
13. PERFORMANCE DIAGNOSTICS Add lightweight performance instrumentation for: Capture: Expose slow operations inside: ==================================================
14. SAFE PRODUCTION BEHAVIOR Production behavior must remain safe and performant. Requirements: ==================================================
15. ARCHITECTURE + CODE QUALITY Implementation requirements: Prefer: ==================================================
16. DEVELOPER DOCUMENTATION Add clear comments and documentation explaining: ================================================== REQUIRED DELIVERABLES After implementation provide: ================================================== BONUS FEATURES (IF ARCHITECTURE SUPPORTS THEM) Add support for: ================================================== IMPLEMENTATION REQUIREMENTS detect issues structured logging development debugging GLOBAL FRONTEND ERROR CAPTURE runtime JavaScript errors error message logInfo() message structured trace verbose logging enabled suppress noisy logs automatically environment variables normalizeError() passwords request method failed requests console logs centralized try/catch wrappers function name prevent full app crashes remain minimal for users verbose logs environment flag ?debug=true errors timestamp memory-safe route changes what the user did Errors a toggle for "Errors" recent errors searchable/filterable logs hidden behind debug mode current page slow renders duration logger no secret leakage modular architecture middleware/interceptors where errors are captured Complete summary of improvements correlation/request ids Do the implementation now trace failures inspect app behavior debug state changes monitor failed requests investigate user-reported bugs diagnose production incidents frontend/global error capture backend error tracing request diagnostics reusable logger utilities debug tooling in-app issue history developer diagnostics UI safe production behavior contextual tracing breadcrumbs and event trails production-safe diagnostics unhandled promise rejections React/Vue/component render crashes failed async operations failed API requests state/action failures hydration/render issues if applicable normalized error type stack trace source file/module line/column if available route/page timestamp current user id organization/workspace/account id entity name record id action being performed browser/device info environment session id correlation/request id logWarn() logError() logDebug() logTrace() createScopedLogger() error object metadata/context object tags correlation id performance timing optional breadcrumb creation grouped searchable timestamped colorized in development if supported minimal/noisy-safe in production debug info warn error fatal only warnings/errors/fatal visible by default debug settings local storage override serializeError() redactSensitiveData() auth tokens API keys secrets cookies session tokens payment details sensitive headers endpoint entity name operation type payload summary response status request duration retry count correlation id failure reason safe response body timeout/cancellation info slow requests retry loops repeated failures debug panel recent history store standardized failure responses structured server logs correlation id propagation request timing safe client-facing messages endpoint user id payload summary stack trace execution time failure classification isolate broken components graceful fallback UI retry/reset support if possible developer diagnostics section in dev mode expandable stack trace/details automatic logger integration remain detailed for developers in debug mode diagnostics overlays app state tracing breadcrumb visibility request tracing performance timing debug panel visibility event history visibility localStorage flag query parameter optional keyboard shortcut localStorage.DEBUG_MODE = "true" warnings failed requests breadcrumbs important app events navigation changes state mutations if appropriate severity message source stack route metadata correlation id tags capped history size optional localStorage persistence auto-pruning fast retrieval button actions entity updates form submissions modal opens failed validations API calls authentication changes what happened before a crash Warnings Info Logs Debug Logs Trace Logs Failed Requests Slow Requests Breadcrumb Trails Event Trails Network Activity State Changes if supported a toggle for "All Logs" a toggle for "Trails" recent warnings failed requests breadcrumb history current route current user environment info active feature flags correlation ids performance metrics recent app events collapsible metadata copy-to-clipboard support expandable stack traces clear severity indicators auto-refreshing live feed if possible admin-only if auth exists lightweight and non-invasive current route current user workspace/account/org active entity selected record id action being executed request id session id slow API calls expensive actions long-running async tasks thresholds operation name related route/entity debug panel event history no excessive spam logging throttle repeated identical logs prevent recursive logging loops avoid large payload dumps avoid performance degradation keep memory usage bounded reusable utilities centralized observability layer minimal disruption to existing flows preserve business logic avoid duplicated logging logic follow existing project patterns where reasonable shared utilities wrappers/hooks provider-based architecture how logger architecture works how debug mode is enabled how to inspect logs/history how correlation ids work how to add new observability hooks how developers should use the logger utilities Files created Files updated Logger architecture overview Debug mode enable instructions Debug panel access instructions Error history inspection instructions Example logger usage Example breadcrumb usage Production safety measures implemented Remaining limitations or future recommendations distributed tracing preparation performance marks/timers automatic breadcrumbs network interceptors Redux/Zustand/store instrumentation feature-flag-aware logging external monitoring service adapter interface offline log queueing export diagnostics bundle copyable crash report generation Do not provide only recommendations Write production-quality code Preserve existing app functionality Reuse existing architecture patterns where possible Prefer maintainable abstractions over hacks Avoid unnecessary UI redesigns Keep developer experience excellent

https://events.base44.com/events/session-4-feedback-bug-reports-and-error-tracking-050726

Launching an app is not the finish line. Once real users start using it, you need a way to collect feedback, capture bugs, log errors, and turn those issues into improvements.

Learn More About Me → https://kodebase.us/

In this live session, we’ll build a feedback, bug report, and error tracking system inside a Base44 app. This helps you understand what users are experiencing, what needs to be fixed, and what should be improved next.

We’ll also cover how to capture useful context like page URL, device information, issue type, status, and admin review notes.

What we’ll cover:

Feature requests Bug reports Internal issue tracking User feedback loops Error logging Page URL/device info capture Admin review workflow Turning feedback into tasks

What we’ll build live:

Feedback form Bug report button Error log entity Admin feedback dashboard Status workflow: new, reviewed, planned, fixed

This is for builders who want to make their Base44 apps easier to improve, maintain, and support after launch.

A massive 14-prompt series that guides you through building a full customer support ticket system inside your Base44 app — from data models and customer portals to admin dashboards, internal notes, SLA tracking, email notifications, role-based access, and a final security audit.

https://kodebase.us/prompts/complete-support-ticket-system

No more authorized changes, that cause you to chase bugs, change things back, and.... no more wasted credits.

https://promptgaurd.kodebase.us/

I've tried most of the pre-rendering services, its their either pricy or the setup is insane for non-technical users. So I created KodeRender to solve this. Takes 3 clicks to setup and you are done. SEO Optimized by default.

Check it out → https://render.kodebase.us

P.S if you are looking for a developer to hire, I'm not just a moderator for base44 I'm an official Base44 Partner, when of the first 3. Took me 2 hours to build this. DM me (background is full stack development since 1997)

This is the single most requested prompt I've gotten, and I wanted to make sure its a solid guide and prompts. I spent 10 years in SEO. So its full of golden nuggets. If you want to optimize your site for SEO, do not miss this!!!

Come and get it!!! → https://kodebase.us/prompts/base44-seo-setup-react-helmet-async

Instructions

Why this matters

Most Base44 apps ship with a single global title and no real SEO setup. That means every page Google indexes looks the same, social shares look broken, and you lose traffic you should be capturing. This prompt fixes all of that in one pass.

What this prompt does

It tells the AI to scan your entire app, install react-helmet-async (if needed), wrap your app with HelmetProvider, build a reusable SEO component, and apply unique SEO metadata to every public page — while marking private/admin/account pages as noindex.

Before you run it

• Use Sonnet 4.6 for this task (it's careful with structural changes)
• Make sure your app is in a stable state — commit/checkpoint first
• Have a 1-line description of your app ready (it'll improve the copy quality)
• If you already use react-helmet-async, the prompt will detect it and skip install

Recommended workflow

1. Run the full prompt below
2. Review the SEO report it returns at the end
3. Spot-check 3–4 public pages and confirm titles/descriptions look right
4. Test a social share (paste a page URL into LinkedIn, X, or Facebook debugger)
5. Submit the updated sitemap to Google Search Console

What it WILL do

• Add HelmetProvider at the app root
• Create a reusable <SEO /> component
• Add unique titles, descriptions, OG/Twitter tags, canonicals to public pages
• Mark private/admin/account/login/checkout pages as noindex
• Flag heading structure issues (multiple H1s, missing H1s, etc.)

What it will NOT do

• Change routes, auth, permissions, or business logic
• Redesign pages or modify your styling system
• Rewrite content (unless required to fix heading hierarchy)
• Remove features

After it finishes

You'll get a full SEO report listing every page updated, what was added, what was marked noindex, and what still needs manual review. Use that report as your SEO checklist going forward.

Need help?

If you want a human SEO + code review on top of this, book a Kode Sessions call or grab a Security & SEO Audit.

If you have ever tried adding push notifications to a Base44 app, you already know how annoying it gets.

Service workers.
VAPID keys.
Custom domains.
Browser subscription storage.
Delivery logs.
Rate limits.
Failure tracking.
Per-app setup over and over again.

It turns into a multi-day rabbit hole for something most apps should have by default.

That is why I built KodePush. https://push.kodebase.us

KodePush is a Cloudflare-powered push notification infrastructure layer made specifically for Base44 apps.

The goal is simple:

Send push notifications from your Base44 app in under 10 minutes.

No custom domain required.
No service worker hosting required.
No complicated notification backend to build.
No provider dashboard mess.

How it works:

1. Register your Base44 app in KodePush
2. Pick your plan and follow the setup checklist
3. Copy the generated install kit into your Base44 app
4. Users subscribe through notify.kodebase.us
5. Your app sends notifications through api.kodebase.us

The install kit gives you:

• Backend send function
• Subscription function
• Entity schema
• Frontend Enable Notifications button
• Environment variable setup
• API call example

Then sending a notification is just one fetch request.

Example use cases:

• SaaS lifecycle notifications
• Support ticket replies
• Lead alerts
• CRM pipeline updates
• Technician job assignments
• Admin alerts
• Marketplace order updates
• Approval flows
• AI agent notifications
• Internal ops alerts

KodePush also handles:

• Delivery logs
• Usage tracking
• Quotas
• Per-app security
• Hashed API keys
• Rate limiting
• Spam protection
• App-level billing enforcement

Web push is live now.

The bigger goal is to make this the shared notification layer for Base44 builders, agencies, and SaaS creators — so every new app does not require rebuilding the same notification infrastructure from scratch.

Check it out here:

https://push.kodebase.us

Would love feedback from other Base44 builders, especially anyone who has already tried adding push notifications manually.