The tools we
build with.

ESDS for India-based compliance and latency; Hetzner for predictable cost on dedicated and cloud workloads; AWS where the project demands managed services or global edge.

Ubuntu for most workloads; RHEL-compatible distros for clients with enterprise licensing requirements.

Nginx for reverse proxy and high-concurrency workloads; Caddy for zero-config TLS on smaller deployments.

Docker Compose covers most client workloads without Kubernetes overhead; k3s where horizontal scaling or multi-node orchestration is needed.

Automated renewal via Certbot for most sites; Cloudflare for DDoS mitigation, WAF, and DNS; paid certificates where EV or organisation validation is required.

Netdata for real-time server metrics; UptimeRobot for uptime alerting; Grafana stack for clients needing custom dashboards and alerting pipelines.

Google Workspace for most teams; Microsoft 365 where the client is already in the MS ecosystem; Zoho for cost-sensitive setups with basic collaboration needs.

OpenAI and Anthropic for production-grade reliability and context windows; Mistral for on-premise or data-residency-sensitive deployments.

Managed APIs for speed to production; Ollama and vLLM for on-premise deployments where data residency is a constraint; Replicate for rapid prototyping and model experimentation.

Qdrant for dedicated vector workloads; pgvector for teams already on PostgreSQL who want semantic search without a separate service. RAG pipelines built with LangChain or LlamaIndex depending on retrieval complexity.

LangChain for most pipeline and agent work; LlamaIndex where document ingestion and query engines are the primary use case; FastAPI to expose inference endpoints.

Astro for content-heavy and marketing sites (ships zero JS by default); Next.js for full-stack React with SSR/ISR; Vue and Svelte for teams with existing frontend conventions.

Node for real-time and API work; Python where ML integration or data pipelines are part of the scope; PHP/Laravel for existing CMS ecosystems; Go where throughput is the constraint.

WordPress for the majority of content-managed sites — largest ecosystem, client-editable, widely understood. Headless CMS where the frontend is fully decoupled and editorial workflows require structured content modelling.

Shopify for most e-commerce builds — fastest to production, lowest ongoing maintenance overhead, strong app ecosystem. WooCommerce where deep WordPress integration or one-time licensing is preferred. Medusa for custom headless commerce requiring full backend control.

PostgreSQL as the default relational store; MySQL for legacy and shared-hosting environments; MongoDB for document-heavy schemas; Redis for caching and sessions.

GitHub Actions for most CI/CD; Vercel and Netlify for frontend-heavy deploys; Coolify for self-hosted PaaS on client VPS infrastructure.

SEMrush for keyword research, competitive analysis, and ongoing rank tracking. Screaming Frog for technical crawl audits. Search Console as the authoritative source for indexation and performance data.

Yoast for WordPress SEO; schema markup written to spec for Article, Product, FAQ, LocalBusiness, and breadcrumb types. Technical fixes implemented directly in code — not patched through plugins.

Structured data targeting AI answer engines alongside traditional SERP features. AEO is treated as a distinct discipline, not an add-on to existing SEO work.

No black-hat or PBN link building. Authority built through content-led outreach and editorial placements.

GA4 for most clients; privacy-first alternatives where GDPR or data sovereignty is a concern; Looker Studio for client-facing reporting dashboards.

Google Ads for search and Performance Max campaigns; Bing Ads for lower CPCs on B2B audiences and Microsoft ecosystem reach.

Meta for B2C and broad-reach B2B; LinkedIn for high-intent B2B where job title and company targeting justifies the CPM premium.

GA4 for cross-channel measurement; Meta Pixel for conversion optimisation; third-party attribution tools where multi-touch complexity warrants dedicated measurement infrastructure.

Search Console for search performance, coverage issues, and manual actions. Bing Webmaster Tools for Bing/DuckDuckGo coverage and Microsoft Copilot surfacing. IndexNow for rapid URL submission across supporting search engines.

Preferred approach is custom landing pages for full control over performance, schema, and A/B testing. Third-party builders for rapid iteration when development bandwidth is the constraint.