Accepting new engagements

Engineering systems that support real product growth

Naubly helps founders and product teams design backend platforms, integrate critical workflows, and ship reliable web products from architecture through production.

Experience spans financial workflows, marketplace infrastructure, backend platforms, developer tooling, and high-performance WordPress systems.

Engineering experience includes systems involving:

  • financial modeling platforms
  • marketplace infrastructure
  • backend API platforms
  • developer tooling
  • automation infrastructure
  • high-performance WordPress engineering
Problems We Solve

When engineering problems block product growth

Software platforms often reach a stage where early technical decisions begin limiting product evolution. Naubly typically works with teams facing challenges such as:

Architecture that cannot scale

Early system decisions begin creating technical debt that blocks new features and increases maintenance cost.

Backend platforms becoming slow or unreliable

APIs degrade under load, infrastructure becomes unpredictable, and reliability issues start affecting users.

Engineering velocity dropping

Teams spend more time working around infrastructure problems than shipping product features.

Complex integrations creating fragile systems

Payment providers, analytics platforms, and third-party APIs must operate reliably together under real conditions.

MVP platforms needing production-grade architecture

Systems built quickly must evolve into stable, maintainable platforms that internal teams can extend.

Engineering Principles

How Naubly approaches engineering systems

Reliable software platforms require disciplined engineering practices.

01

Architecture before implementation

Systems are designed before development begins to avoid costly refactoring later.

02

Clear system boundaries

Services, APIs, and data models are defined with explicit contracts between components.

03

Performance as a design constraint

Performance considerations are incorporated early in system design, not bolted on after the fact.

04

Maintainable systems

Codebases are structured so internal teams can extend and maintain them long after delivery.

Services

The right engineering help for the problem in front of you.

Focused support for teams that need better foundations, more reliable systems, or experienced delivery capacity.

01

Backend & Platform Engineering

Build or modernize the software foundations your product needs to keep moving without unnecessary complexity.

Best suited to: Product teams extending a platform, replacing fragile foundations, or preparing for the next stage of growth.

  • —Backend APIs and application architecture
  • —Database and data-model design
  • —Integrations, testing, and maintainable delivery

Why it matters: Clear boundaries and reliable foundations make future product work easier to ship and safer to change.

Discuss your project
02

Performance & Reliability

Find and resolve the bottlenecks, failure modes, and operational gaps making an existing application hard to trust.

Best suited to: Teams dealing with slow experiences, fragile workflows, expensive maintenance, or critical paths that need stronger safeguards.

  • —Web and backend performance investigation
  • —Failure handling and critical-path tests
  • —Payment and integration workflow improvements

Why it matters: Work from evidence, improve what matters most, and leave the system easier to operate with confidence.

Discuss your project
03

Product Engineering & Integrations

Add experienced engineering capacity for a feature, product capability, or integration that needs practical ownership.

Best suited to: Founders, product teams, and agencies delivering a defined project or looking for an ongoing engineering partner.

  • —Full-stack feature delivery
  • —External APIs and business workflows
  • —Implementation, testing, and iteration

Why it matters: Move from a well-defined objective to working software with clear communication and less handoff overhead.

Discuss your project
Selected work

Evidence of engineering work that holds up under real constraints.

A few documented examples across critical integrations, performance, and reusable product tooling.

01
Documented experience · critical integrations

Payment migration under deadline

View supporting profile

Planning a payment migration without losing sight of continuity

Context. A payment integration had to change while active billing cycles continued and subscriber continuity could not be treated as an afterthought.

Approach and result. The documented experience centers on subscriber state, edge cases, and sequencing a processor change around the risk of service interruption. The public profile does not expose enough implementation detail to claim a complete client case study, so this example is presented as relevant engineering experience rather than a guaranteed outcome.

Why it matters. For teams changing a critical integration, careful sequencing and correctness matter as much as implementation speed.

02
Documented experience · frontend performance

Web Performance Optimization

View supporting profile

Web Performance Optimization

Context. A documented project focused on addressing web performance bottlenecks through practical frontend optimization work.

Approach and result. The public profile describes a performance improvement project, but does not provide enough test conditions to substantiate a numerical Lighthouse comparison. This example is therefore presented as documented engineering work, not a verified benchmark.

Why it matters. Performance work is most useful when it starts with a reproducible baseline and targets the bottlenecks users actually feel.

03
Open source · reusable engineering

Reusable conversion tooling

View repository

HTML to editable Gutenberg blocks

Context. WordPress workflows often involve repetitive conversion work that is difficult to reuse and easy to get wrong by hand.

Approach and result. html-to-gutenberg converts arbitrary HTML into fully editable WordPress Gutenberg blocks and provides a preview of the result. The public package also supports modern output workflows and test coverage.

Why it matters. Reusable tooling can remove repetitive work from a delivery process and give teams a more dependable path from source content to editable output.

How collaboration works

A focused path from uncertainty to working software.

01

Align on the objective

Clarify the product goal, constraints, current system, and what a useful outcome looks like.

02

Define the approach

Choose the smallest sound path forward, with clear boundaries, trade-offs, and milestones.

03

Engineer and validate

Build the work, test critical paths, and keep progress visible as decisions become implementation.

04

Deliver and iterate

Ship working software, document what matters, and continue improving where the product needs it.

Engagement model

Project delivery when scope is clear. Ongoing partnership when the work continues.

Naubly can support a defined engineering project or work alongside an existing product team or agency over time. The shape of the engagement follows the problem: clear communication, practical ownership, and no unnecessary process layered on top.

Discuss your project

Approaching technical limits? Let's talk.

Tell me what you are building, improving, or integrating, and where engineering support would make the biggest difference. Share the context, main constraint, and next milestone; optional details help me route your enquiry.

Include the product context, the main constraint, and what you want to improve next.