Hashlogics
Hire

Bubble

The app works. Now it has to hold more users than you planned for

We have four Bubble platforms in production, including an insurance audit tool and a coliving operations system. Most Bubble rescue work is about how the data is structured, not how the page looks.

What you are getting

4 things that decide this

  1. 01Senior engineers with four Bubble products live: PremiumAudit, TomoDomo, Golancer and Broollie, which serves teams across 38 countries.
  2. 02They fix the causes of a slow Bubble app: searches that scan whole tables, list operations on the page, and privacy rules doing work the database should.
  3. 03Straight advice on when to stay and when to leave. Bubble is right for far longer than most people assume, and it is not right forever.
  4. 04The app, the data and the workflows stay in your Bubble account. Interview every engineer first.

Why a Bubble app slows down, and what fixes it

Bubble apps rarely get slow because of Bubble. They get slow because of how the data was modelled when the app was small.

The usual causes are the same each time. A search that pulls every record and filters it in the browser. A list held on the page and rebuilt on every change. Privacy rules written late, so the app sends data it then hides. Each is fixable without leaving the platform.

PremiumAudit runs insurance audit work on Bubble with the Claude API behind it, across carriers, auditors and policyholders with different permissions. Broollie serves meeting workflows to teams in 38 countries on a multi-tenant Bubble build. Golancer runs freelancer operations with Stripe subscriptions and Google Calendar sync. Same platform, three very different loads.

Where the work actually is

Searches the database can answer

Constraints applied in the search, not filters applied after. This single change is the most common large speed win in an inherited app.

Privacy rules doing real work

Rules that decide what leaves the server, not conditions that hide fields on screen. A hidden element still received the data.

Data structure that fits the questions

Types and fields shaped around what the app asks for most. Reworking this early is cheap; after launch it is a migration.

Workflows that survive a failure

Backend workflows for anything slow or scheduled, with a plan for the run that fails halfway through a payment.

An honest read on the ceiling

Where your app sits against the platform's limits, and which parts would move first if you ever needed to.

Where a slow Bubble page loses its timeLive
  1. Page loadsWhat it asks for
  2. SearchConstrained, or not
  3. Privacy rulesWhat may leave the server
  4. BrowserFiltering it should not do
  5. RenderWhat the user waits on

Box four is where inherited apps lose most of their time. Work moved back into box two usually fixes it without a rebuild.

A client, in their own words

I am extremely happy with the results and would highly recommend Hashlogics to anyone.

Daniel Khin · CEO, PremiumAudit.io

How hiring works

  1. 01

    Show us the app and what hurts

    A free call about the product, the users and the screens people complain about. If you have outgrown Bubble, you will hear that plainly.

  2. 02

    Meet the engineers

    We shortlist people who have scaled a Bubble app rather than only built one, and you interview them yourself.

  3. 03

    They embed

    Your Bubble app, your standups, your priorities. One of our engineers owns the data model and answers for how the app performs.

  4. 04

    They hand over

    A documented data model, workflow notes and someone on your team able to change things safely. Where a client would rather we kept improving it, we do that under a service level we agree.

What they work with

Stack

Bubble

Bubble.ioBackend workflowsPrivacy rulesAPI ConnectorBubble Cloud

Connected to it

StripeOpenAIClaudeGoogle CalendarTwilioSendGridZoom

Practices

Constrained searchesData model reviewScheduled workflow retriesLoad testing
Next step

Bring us the page your users complain about

Show us the app and where it drags. The scoping call is free, and you will leave knowing whether this is a data problem or a platform ceiling.

Questions, answered
01Can a Bubble app scale, or will we have to rebuild?

Most Bubble apps that feel slow can be fixed inside Bubble, because the cause is usually the data model rather than the platform. PremiumAudit and Broollie both run real workloads on it, and Broollie serves teams in 38 countries. The honest limit arrives with heavy computation, very high write volume or strict latency targets, and we will tell you when you are near it instead of selling you a rescue.

02Do they work in our existing Bubble app, or start again?

In yours. They audit the data model and the slowest workflows first, then change things in reviewable steps. Rebuilding an app that already has users is the most expensive way to fix a performance problem, and rarely the necessary one.

03What happens if we do outgrow Bubble later?

You move the parts that need moving, not everything at once. The usual pattern is to lift the heaviest workload into a separate service while Bubble keeps the interface and the rest of the product. An engineer who understands both sides makes that gradual instead of a stop-everything rewrite.

04Can Bubble handle AI features and payments?

Yes, through connected services. PremiumAudit runs the Claude API against insurance documents from Bubble, Golancer runs Stripe subscriptions and invoicing, and Broollie connects Zoom, Twilio and Stripe. The work is in error handling and keeping API keys server-side, not in the connection itself.

05Who controls the app and the account?

You do. The app lives in your Bubble account under your billing, and nothing about ending the engagement requires our access or approval. We work as collaborators in your app, not owners of it.

06What decides the price of Bubble work?

How much of the app has to be understood before it is safe to change. A tidy app with a sensible data model moves quickly; one built by several people over three years with no documentation takes longer, because reading it is the job. Scoping calls are free. Where an audit is needed first, a paid two-week diagnostic ends with a fixed price.

Verified
Start

Anyone can ship the agent. We answer the pager.

We build AI agents and automation, then stay on under an agreed service level. A senior engineer reads every brief, and your call gets scheduled within 24 hours.

What happens next

  1. 01

    You send a brief or book a call

    Two minutes, whichever you prefer.

  2. 02

    A senior engineer replies within 24 hours

    Not a sales rep.

  3. 03

    Honest scoping, in writing

    And if we’re not the right fit, we say so.

Abdul Basit, CEO of Hashlogics

“I started Hashlogics because too many teams ship a demo, get paid, and disappear. We build to a standard we’d run ourselves — and we stay to keep it running.”

Abdul Basit · CEO · a direct line

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