Backend Automation & API Integration Engineering

Automation backends built for real operations.

Dyniqo builds NestJS backend systems for SaaS teams that need reliable webhooks, API integrations, queue workers, Stripe subscription sync, AI workflow steps, usage metering, audit logs, and Docker-based deployment.

Open Runlane demo View Runlane Core Email Dyniqo

NestJS TypeScript PostgreSQL Prisma Redis / BullMQ Docker Stripe Webhooks AI APIs

runlane-core / live system

Ingresswebhooks + API keys

Secure intake layerAuthentication, tenant scope resolution, idempotency, payload validation, replay protection, and request tracing.

QueueRedis / BullMQ

Execution boundaryWorkflow executions are persisted, queued, retried, and processed by a separate worker service.

Workersteps + connectors

Operational workflow engineHTTP connectors, controlled failures, retry/backoff, usage records, audit events, and safe demo isolation.

API + Workerseparate deployable services

Tenant scopedworkspace isolation by token

Demo safesession workspace cloning

Runlane Proof

Runlane is the system that proves the backend work.

A live portfolio system should explain the backend path before the visitor opens the repository. This section shows the operational boundary: intake, queue, worker, tracing, demo isolation, and deployment checks.

One clear storyFrom request intake to execution result.

Real backend riskRetries, tenants, billing, limits, and audit.

Visible runtimeExecution state and step-level traces.

Safe public demoIsolated sessions and constrained calls.

Central portfolio system

Runlane turns the niche into a working backend map.

It is not a gallery screenshot. It demonstrates how a SaaS automation backend receives external events, creates executions, queues jobs, runs worker steps, records usage, captures failures, and keeps demo users isolated.

Webhook reliabilitySigned intake, idempotency, replay protection, and payload limits.

Worker boundaryBullMQ jobs with workspace scope and retryable failure handling.

Integration layerHTTP connector rules, timeout behavior, and response contracts.

Demo disciplineSession-scoped workspaces keep public usage contained.

Open demo View repository

Runlane execution board Operational flow from request to traceable result.

Live-ready flow

01 Intake Webhook / API intake

Auth, payload validation, idempotency, replay guard, and request trace creation.

02 Queue BullMQ handoff

Execution jobs move outside the request lifecycle with workspace-scoped payloads.

03 Worker Step execution

Worker validates scope, runs connector steps, and records outputs or failures.

04 Retry Failure control

Retryable errors use backoff; final failures become visible dead-letter state.

05 Audit Usage + audit trail

Executions, HTTP calls, retries, billing events, and user actions are recorded.

06 Demo Session isolation

Each browser receives isolated demo state instead of sharing mutable data.

requestId workspaceId executionId jobId attempt durationMs

Portfolio

Proof through systems, not screenshots.

The portfolio is intentionally narrow: backend automation, webhook reliability, API integration, billing sync, workers, and deployment-ready infrastructure.

Primary proofRunlane Core as the strongest backend case.

Secondary proofGigaHub OS as a marketplace backend.

Strong signalOperational flows instead of static UI claims.

Useful scopeOnly work that reinforces the niche.

Featured system Live demo

Runlane Core

Runlane Core is the live proof system for Dyniqo’s backend niche: a NestJS automation backend that turns inbound webhooks and API calls into traceable workflow executions.

intake execution queue worker retry audit

Runtime pathVerifies payloads, creates executions, queues BullMQ jobs, and records worker results.

Failure controlShows retry behavior, dead-letter state, error classification, and manual recovery paths.

Tenant safetyKeeps demo sessions isolated so browser visitors do not share mutable workspace data.

Extension surfaceLeaves a clear path for AI steps, billing sync, API connectors, and deployment checks.

Open demo GitHub repo

NestJS APIauth, API keys, workflows, usage, audit

BullMQ Workerexecution engine, retries, step records

PostgreSQL + Prismatenant-scoped operational data

Redisqueue, rate, idempotency, demo session state

Docker deploymentAPI, worker, web console, health checks

Case study

GigaHub OS

A marketplace backend and web system covering projects, proposals, contracts, milestones, disputes, audit logs, and outbox-style operational flows.

View repository ↗

Focus

Automation Infrastructure

Reusable patterns for secure webhooks, API-key protected execution endpoints, queue-backed workers, failure capture, retries, audit trails, and deployment checks.

Explore architecture ↓

Services

Backend work that solves urgent SaaS problems.

Each service maps to a failure mode that costs teams time: dropped webhooks, silent jobs, drifting billing state, brittle API calls, unclear AI usage, and backends that are hard to deploy.

Clear boundaryAPI, worker, database, and queue responsibilities.

Operational behaviorRetries, limits, logging, health, and handover.

Deployment pathDocker-based runtime and validation commands.

Backend firstNo fragile UI-only automation promises.

Start from the failure mode

Then build the backend path around it.

The goal is not to add more features. The goal is to make the runtime path explicit: who sends the event, how it is verified, where it is persisted, how it is queued, how it fails, and how the team observes it.

Incoming eventWebhook, API key call, billing event, form payload, or automation bridge request.

Execution boundaryPersist first, queue second, process outside the request lifecycle.

Failure policyClassify retryable errors, terminal failures, dead-letter state, and manual recovery.

Visibility contractExpose request IDs, execution state, step duration, usage records, and audit trail.

Operational handoverHealth checks, environment variables, logs, reset steps, and deploy notes.

01Webhook reliability

Webhook Queue Worker

Receive external events safely, move processing into BullMQ, and expose retry and failure state.

signatureidempotencydead-letter

Best for dropped webhook events and silent background failures.

02API integration

API Integration Backend

Put external API calls behind a backend connector layer with timeouts, mapping, and traceable errors.

HTTP connectortimeoutsmapping

Best for SaaS teams connecting multiple external services.

03Billing sync

Stripe Billing Sync

Verify billing webhooks, persist events, map plan state, and prevent duplicate processing.

signaturesubscriptionusage

Best for plan access, failed payments, and subscription drift.

04AI workflow

AI Workflow Backend

Run AI decisions inside a queued backend workflow with structured outputs and usage limits.

provider portschemalimits

Best for AI steps that need audit, failure capture, and cost control.

05NestJS structure

Architecture Cleanup

Separate modules, application services, adapters, repositories, and workspace access rules.

DDDportstenant scope

Best for backends that grew fast and now need maintainable boundaries.

06Runtime base

Deployable Backend Core

Build a backend foundation with auth, workspace, API keys, jobs, billing hooks, and Docker.

APIworkerDocker

Best for teams that need a reliable backend base before UI expansion.

Architecture

Explore the backend patterns behind the work.

The architecture section is designed as a compact decision map. It keeps the page useful without turning the landing page into a long technical document.

Persist before workRequests create durable executions first.

Queue the riskWorkers handle timeouts and retries.

Scope every actionWorkspace isolation is the access boundary.

Observe the pathTrace IDs, audit logs, and usage records.

Operational backend map Reliable webhook intake path.

Copy-ready brief

brief:webhooks

Case Patterns

What the portfolio is designed to prove.

The demo and repositories show end-to-end behavior across API intake, queue processing, worker execution, external connectors, usage, audit, and deployment.

ExecutableVisible flows that can be opened and reviewed.

Failure-awareRetry paths and error state are part of the story.

Backend-ledUI supports the system instead of replacing it.

FocusedEvery case supports the same backend niche.

Run-ready

Lead intake and routing

Accepts a structured lead payload, normalizes the request, prepares routing metadata, and records execution results.

Failure-aware

Reliable webhook queue

Demonstrates queue handoff, worker processing, success state, failure capture, retries, and operational visibility.

Integration

API enrichment handoff

Shows how a workflow prepares outbound HTTP calls, handles response contracts, and keeps traceable execution state.

Contract

AI and billing paths

Documents the execution shape for AI routing and subscription sync while keeping the public demo controlled.

Process

Small scope, strong backend boundaries.

Work starts from the operational risk: webhooks getting lost, jobs failing silently, billing state drifting, API calls timing out, or tenants leaking data.

Define the riskEvents, credentials, failures, and users.

Shape the runtimeDTOs, queues, jobs, limits, and outputs.

Build the boundaryUse cases, ports, adapters, and guards.

Validate the pathDocker, health, smoke checks, and notes.

01scope

Clarify the boundary

Inputs, actors, events, credentials, external services, and failure modes.

02contract

Define runtime contracts

DTOs, auth rules, queue payloads, webhooks, response shapes, and audit events.

03build

Implement API + worker

Business logic sits behind application services and infrastructure adapters.

04ship

Validate and hand over

Startup, health checks, smoke validation, environment notes, and deploy commands.

Contact

Have a backend automation problem that needs to work reliably?

The fastest path is a focused message with the API docs, webhook shape, current failure mode, and deployment target.

Best-fit workWebhooks, queues, integrations, billing, AI workflow backends.

Useful first messageProvider docs, sample payload, current bug, target runtime.

Project shapeSmall milestone, clear boundary, operational result.

Primary proofRunlane Core and focused backend case studies.

Project inquiry

Send the current backend problem, the external system involved, and the runtime path that is failing. I’ll reply with a practical first milestone, the main failure modes, the delivery boundary, and the safest way to validate the fix.

Useful contextProvider docs, sample payload, current logs, deployment target, and expected success state.

Likely first milestoneStabilize intake, persistence, queue handoff, retry behavior, and observability before expanding scope.

Email contact@dyniqo.dev

Primary emailcontact@dyniqo.dev

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Runlane demoWorkflow automation console and public demo.

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GitHubRunlane Core and Dyniqo repositories.

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LinkedInProfessional profile of Mehdi Lorestani.

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Business information

Registered business operator

Dyniqo is operated by Mehdi Lorestani, an Individual Entrepreneur registered in the Republic of Armenia. Software development, backend automation, API integration, and related engineering services are provided through this business.

Business operatorMehdi Lorestani, Individual Entrepreneur

JurisdictionRepublic of Armenia

Business emailcontact@dyniqo.dev

Websitehttps://dyniqo.dev