— CAPABILITIES
A short list of client problems we can take on. Embedded, IoT, and parts of data and AI are delivered with partner expertise.
DIRECTIONS
What is in the way, who it fits, and which technologies may be used. The link is the next step.
01
The problem Daily work still runs through tools that do not follow how the company sells or operates.
Who it fits A company that needs its own software, because a generic package does not match the process.
Technologies May include Python, Django or FastAPI, PostgreSQL, and React.
02
The problem Customers or partner companies need one product that matches the business model, and the current tools do not.
Who it fits A team launching or growing a SaaS product, a client portal, or a platform where companies work together.
Technologies May include Python, React, PostgreSQL, and REST APIs.
03
The problem The goal is clear enough to discuss, but the scope, the approach, or the technical risk is not.
Who it fits A founder or a product team that needs a practical next step before a build is agreed.
Technologies No stack is chosen at this step. Technology is discussed only if a build follows.
04
The problem Work that is already decided needs steady engineering capacity, and the current team cannot cover it alone.
Who it fits A product company or a software house with a confirmed task and its own way of working.
Technologies The stack of that task. A role is agreed for the task, and only once the task is confirmed.
05
The problem An existing team needs another engineer inside its own process, on work already underway.
Who it fits A company or a software house adding capacity to the team it already has.
Technologies The stack that team already uses. A person is confirmed for the task, not reserved in advance.
06
The problem People re-enter the same facts, and handoffs still depend on inboxes and spreadsheets.
Who it fits An operations team whose daily process has outgrown the tools around it.
Technologies May include Python, PostgreSQL, Celery, and APIs of the tools already in use.
07
The problem Systems the company already runs do not share data, so someone copies it between them.
Who it fits A team with a product or a set of tools that need to exchange data or trigger an action.
Technologies May include REST APIs, webhooks, and import or export. The other system depends on the project.
08
The problem A product is already in use, and it is unclear what to fix next or whether a change holds.
Who it fits A team improving a product people already use, as part of a larger engagement.
Technologies The product's own stack, with tests around the changes under review.
09
The problem The product has to exchange data with a device or a piece of equipment, outside the web application.
Who it fits A company whose software meets hardware, a sensor, or equipment on site.
Technologies Device-side work is delivered with partner expertise. The product side may use APIs and the application stack on the engagement.
10
The problem The product needs reporting, or a feature that depends on data or a model, tied to a process people already run.
Who it fits A team adding that feature to a product it is building or already runs.
Technologies Data the product already holds may use PostgreSQL and the application stack. Specialized data work and AI features are delivered with partner expertise.
11
The problem A store or a content site has to follow how orders, the catalog, or the pages actually work.
Who it fits A team where the storefront or the content site is part of a larger product or process.
Technologies May include the web stack of that engagement. Shopify can be included when the store needs it, inside the wider work.
YOUR PROJECT
Share your goal, the current situation, and any useful context. We'll come back with the next practical step.
