[Gen-BI] From Shopify to Profit

TL;DR

A landing before having a closed product?!

You going crazy?

+++ Uptime Status for my new services

Intro

When I said to people to try things, is because I started with:

And then, Im working towards this: the landing was tinkered here and ready at .landing/

I also put together a post about selfhosted ecommerce.

Just in case you want to build your own / use OSS.

I admit it: it was not part of a master plan.

Im just embracing the chaos of my journey.

And as crazy as it sounds, this (shopify) relates with https://www.shopify.com/news/david-heinemeier-hansson-board

The same person who races, is a director and ships omarchy.

Connecting to Ecommerce BackEnd

If you have ever scrapped jobs, this is hot: 50$/h for someone who wil…tweak the UI/X, imagine the revenue for stores that can afford so

        {
            "job_title": "Lead Front-end Engineer with Shopify",
            "company_name": "",
            "location": "Cała Polska (praca zdalna)",
            "job_type": "Remote",
            "experience_level_required": "NA",
            "direct_link": "",
            "salary_range": "160–210 zł netto (+ VAT) / godz."
        },

Shopify

I made here the landing before having the product and the clients.

git clone https://github.com/JAlcocerT/poc_shopify
cd poc_shopify/landing
#make help

The Related: BRD, tech stack, dev phases, sales, more sales and landing psyc. With its associated 1 week launchpad.

All vibe coded, see.

Crazy.

Now, lets continue with the core analytics part.

The logic, initiated here: https://github.com/JAlcocerT/langchain-db-ui/Z_PGSQL-GenBI and waiting to be continued https://github.com/JAlcocerT/poc_shopify/

graph TD
    RL[Representation Layer: React + Recharts]
    AL[Agentic Layer: FastAPI + Python Engine]
    SL[Semantic Layer: BAML Definitions]
    DL[Data Layer: PostgreSQL]

    RL <--> AL
    AL <--> SL
    AL <--> DL

Shopify API

As per their docs, this is going to be an adventure with GraphQL.

• https://www.shopify.com/
• https://shopify.dev/docs
• https://apps.shopify.com/
• https://shopify.dev/changelog

OSS Selfhosted ecommerce

As covered recently here, you can also run your online shop by choosing one of the selfhostable ecommerce.

Connecting with these ones is more similar to the extraction of insights from pgsql that got initiated here.

For these, most likely, you are having some of these dbs as a companion of your container:

Conclusions

People are doing similar just not so cool landings https://genbi.co/home so sth like generativebi.pro would not be crazy.

whois genbi.co | grep -i -E "(creation|created|registered)"

The Attraction and Conversion

Conversion driven via landing: yes, the one than here with glassmorphism!

git clone https://github.com/JAlcocerT/poc_shopify
cd poc_shopify/landing
#make help
#docker builder prune	

Nobody hitting Umami Web Analytics?

Time to bring eyes interested in shopify to your landing, consider:

1. https://www.storecensus.com/pricing

The Delivery

A backend plugged to the landing that we have created on this post.

It needs manual on boarding, not focusing on automated on boarding.

First finding prospects is a priority.

Same as finding people interested in a tech talk is more important than doing a tech talk to an empty room.

D&A Articles

Ive consolidated and improved the D&A tech stack around the experience and clients ive had at these curated articles.

They might sound familiar, but with another tone.

From Telecom, to FMCG, Healthcare…

…and ecommerce also coming.

For the businesses centered reader: HERE

FAQ

How is this been shaped?

This was all initiated with this BRD, around this tech stack, with this sales perspective, with this psyc engagement and such 4weeks 7-days Launchpad Checklist.

The place in the value ladder:

flowchart LR
    %% --- Styles ---
    classDef free fill:#E8F5E9,stroke:#2E7D32,stroke-width:2px,color:#1B5E20;
    classDef low fill:#FFF9C4,stroke:#FBC02D,stroke-width:2px,color:#FBC02D;
    classDef mid fill:#FFE0B2,stroke:#F57C00,stroke-width:2px,color:#F57C00;
    classDef high fill:#FFCDD2,stroke:#C62828,stroke-width:2px,color:#C62828;
    classDef bridge fill:#E3F2FD,stroke:#1565C0,stroke-width:3px,color:#0D47A1;

    %% --- Nodes ---
    L0("Free Content
($0)"):::free
    L1("AuditMagnet 🛡️
(Free Web Audit )"):::free
    L11(" Blog/Youtube"):::free
    L12(" ebooks"):::free
    L2("DIY
(Optimization Guides) $"):::low
    L3("Done With You
(Consulting) $$"):::mid
    L4("Done For You
(Full Service) $$$"):::high
    L44("GenBI
Shopify PoC"):::bridge

    %% --- Connections ---
    L0 --> L1
    L0 --> L2
    L0 --> L11
    L0 --> L12
    L2 --> L3
    L3 --> L4
    L44 -->|Enhancing| L4

The unit economics:

graph 
    %% Unit Economics Engine
    subgraph Engine [Unit Economics Engine]
        P[Price] --> M1{x}
        Q[Quantity/Volume] --> M1
        M1 -- "Revenue" --> GM[Gross Margin %]
        GM -- "Gross Profit" --> OM[Operating Margin %]
        OM -- "Operating Income" --> IB[Interest/Borrowing Cost]
        IB -- "EBT" --> TB[Tax Burden %]
        TB -- "Net Profit" --> Goal
    end

    %% Styling
    style Engine fill:#f0f4f8,stroke:#0056b3,stroke-width:2px
    style Goal fill:#f9f,stroke:#333,stroke-width:2px

How about UpTime?

Having several public services with a backend means that you have to be responsible for their uptime: proving you can deliver!

1. https://webaudit.jalcocertech.com/

2. https://genbi.jalcocertech.com/

3. https://realestate.jalcocertech.com/

4. https://slubnechwile.com/

I wanted to monitor all those automatically with my x300.

git clone https://github.com/JAlcocerT/Home-Lab
#git pull
cd Home-Lab/uptime-kuma
#sudo docker compose up -d
docker ps -a --filter "name=uptimekuma" #docker ps -a --filter "name=uptime"
docker compose stats #docker compose --help
#docker stats uptimekuma

See that the config that not required an external DB.

If you have followed the recents posts, you got it: uptimekuma uses SQLITE!

In fact, when starting you see: http://192.168.1.2:3001/setup-database

All with a ~600mb image and ~100mb RAM consumption.

Oh.

And you can add new monitors programatically via python script: all available in the repo

uv run scripts/add_monitor.py

That works for one.

This works for all:

uv run scripts/bulk_add_monitors.py