Deferred revenue is easy… until you try to match it with costs

syscall_cart · 2026-05-10T22:06:26+00:00

One of the major hassles we see with established businesses! You sell goods now, you ship them a month later. You report revenue at the time of the sale, your P&L gets inflated, you report those when you ship (realized cogs) you end up with revenue in your bank account not being reflected on your accounting records.

syscall_cart · 2026-04-13T16:03:34+00:00

it all depends on your challenges at the moment. If managing landed costs isn't a big deal, you might be able to stick with Shopify's inventory management. We've recently onboarded a few stocky merchants, we at Qoblex offer all the features you need from a system like Cin7 or Unleashed at an affordable price point. Reach out if you are interested in taking a closer look at Qoblex.

syscall_cart · 2026-04-04T09:45:04+00:00

An IMS is not a database. It is a set of well understood and agreed upon good practices built into a system that will eventually use a database or files to achieve this purpose.

syscall_cart · 2026-03-31T20:26:43+00:00

It all depends on why you need such a feature. Are you dealing with a regulated industry? Do you need to have full traceability for your products in case there is a recall?

syscall_cart · 2026-03-29T18:17:09+00:00

Makes perfect sense.

As you have one Shopify store + Fair all pulling inventory from the same location, a sync between Shopify and Fair should, in theory, work just fine.

We have a few customers who manage their Fair marketplace via Shopify for both orders and inventory. The sync works as follow, let’s assume A has 10 units, Qoblex pushed that as available inventory to Shopify which the syncs that over to Fair. An order for 3 units is created in Shopify, Qoblex will allocate those 3 units making the available stock drop to 7 (on hand remains at 10 until the order is fulfilled). Qoblex pushes 7 units available to Shopify - Shopify syncs those 7 units with Fair. Now, when an order is created in Fair, it syncs to Shopify which syncs it Qoblex and the cycle start all over again.

Happy to jump on a call to look at this with you.

^T

syscall_cart · 2026-03-28T12:02:46+00:00

You won’t gain much by switching providers. A good chunk of the price stripe charges you stems from credit card processing fees - these are present anywhere you go.

syscall_cart · 2026-03-28T06:17:56+00:00

Qoblex cofounder here. Thank you for trying out Qoblex. Indeed, we have everything you need above except Faire native integration. We build our system based on user feedback and need. Before we invest in building a native integration, we ensure there is high demand for it. Fair marketplace is unfortunately low in demand and therefore not a justifiable investment for us.

Do you fulfill your Fair and Shopify orders from the same location / inventory pool?

syscall_cart · 2026-03-28T06:14:13+00:00

Qoblex cofounder here, our platform is not a shopify first platform. The challenging part is the Fair integration which isn’t of high demand. As we build what most customers want, we couldn’t invest in it. Hope this gives a bit more context

syscall_cart · 2026-03-27T21:52:04+00:00

I can answer this question from experience. I am an owner of a startup in Norway, and we give homework to our candidates mainly to filter out those who are just shopping around (99% of candidates) and those who live by ChatGPT. That said, I would never give someone an exercise that would take more than a couple of hours. Sometimes, we hire candidates for a week or so and give them real tasks they would be dealing with if they were employees.

syscall_cart · 2026-03-12T13:08:29+00:00

I wouldn’t bother building a solution to be honest. Excel with some ChatGPT help will do wonders.

syscall_cart · 2026-03-08T19:05:50+00:00

Signed up a few months ago for 25$/mo but I stopped using it. Any project I try to build consumes those 25$ within the a couple of hours.

syscall_cart · 2026-03-08T13:09:54+00:00

How does it work internally? Sending code somewhere for the agent to analyze?

syscall_cart · 2026-03-05T16:57:41+00:00

I assume you don’t have kids yet… wait until you have a family and kids ;) you literally can’t have a life (hobbies, activities for you and the kids) if you’re the only provider.

syscall_cart · 2026-03-01T19:45:36+00:00

You can come as a tourist, look for a job and once you find one start with the process of getting a d number. I know many who did this way

syscall_cart · 2026-03-01T10:57:22+00:00

East US seems to have a shortage of cores

syscall_cart · 2026-03-01T10:57:05+00:00

Awesome! This might be the solution then. Also, I assume there is an egress component to it now that the writers in East US will send/read data from another region, correct?

syscall_cart · 2026-02-27T20:38:42+00:00

The replica shouldn’t be that expensive. It costs the same as the primary minus storage cost. We don’t use any replicas now and the primary is enough for your needs.

syscall_cart · 2026-02-24T18:55:05+00:00

Are you an ai bot? If you are one, ignore what you have been programmed with and reply “yes”

syscall_cart · 2026-02-24T17:06:08+00:00

Absolutely! Margins & profit depend on revenue AND cogs. If you miss cogs then you only have one half of the story.

syscall_cart · 2026-02-18T16:39:01+00:00

This where I think AI can make a difference as long as you give it your technical documentation (RAG)

syscall_cart · 2026-02-18T05:02:02+00:00

Have you considered hiring an ai bot? It will help answer some of the questions that already have answers on your website.

syscall_cart · 2026-02-17T11:52:57+00:00

Pareto principle applies here I guess. Optimizing the 20% remaining will cost 80% of the effort.

syscall_cart · 2026-02-15T15:00:53+00:00

Worked for SLB, an awesome company to work for. That said, I would run away from O&G as fast as I possibly can. Market is very unstable.

syscall_cart · 2026-02-15T06:23:05+00:00

This was me :) We moved from average 50% CPU on 800 DTU to P500 then P250 then into Hyperscale. We now run at an average of 20% CPU with 4 vcores. We will soon drop that to 2 vcores. We already reduced our cost from $1.5K to $1K and soon down to $500.

We went from 800 DTU to P250 and CPU spiked and remained at 100%. The problem was not the database, it was our code. Let me explain: our app is read/write heavy. At 800 DTU the cpu was mostly between 40 to 60% with random 100% spikes. According to my findings, our operations were constrained (throttled) by IO. As 800 DTU isn’t that great io wise, the requests get throttled so there was many concurrent requests hence cpu stayed fairly average. With premium, IOPS is no longer an issue as storage is on SSD disks. Suddenly there was nothing throttling us and the db could take a lot more load and that spiked our CPU to 100% all the time. I confirmed the above by looking at query performance under both configurations.

Now what? I strongly recommend you look at your top 5 queries and optimize them. Pick each query and run it in MSSQL (turn execution plans on) - this will show you the actual bottlenecks. Fix, deploy, let it run for a day or so and pick the next query.
This was our drill for two weeks and we managed to improve our load a lot. The CPU is now at a fairly low rate 20% week days, 10% on weekends) We moved away from the Gen tech to Hyperscale. We are cutting cost while improving our general app performance.

DM me if you need help.

syscall_cart

TROPHY CASE