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Trikkos - Health Marketplace
A health marketplace that loads fast, converts better, and costs less to host.
Impact+30% organic traffic, -80% hosting costs, pages in <1.5s
AstroVue.jsSupabase+2
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Guillaume Schonrock audits and optimizes existing Python backend systems for startups and SMBs across Europe — without rebuilding from scratch. Pages < 1.5s, −63% latency, infrastructure up to 3× faster.
Response within 24h. No sales follow-up if it's not the right time.
Pages that used to load in 300ms now take 3 seconds. 503 errors appear during traffic spikes. Your cloud bill grows but performance doesn't improve. Your devs spend more time firefighting than shipping features.
These signals mean an architectural threshold has been crossed. It's not a bug to fix — it's a system that needs rethinking. But rebuilding from scratch isn't always the right answer, and it's rarely the fastest.
In most cases, targeted optimization — SQL queries, caching strategy, refactoring critical endpoints — is enough to multiply performance by 3× without data migration or a full rebuild.
I start with a performance audit (profiling slow queries, log analysis, bottleneck identification). Then I operate surgically on the critical points: SQL query optimization, Redis caching, removing blocking dependencies, improving the frontend build.
Health marketplace 3× slower after catalog growth
Performance audit + query optimization + static CDN + lazy loading
3× faster, pages under 1.5s, −80% hosting costs
Airtable API with unacceptable latency in production
Smart cache layer with targeted invalidation
3.2× faster, −63% latency
Platform for 2M+ users with high support call rate
UX redesign of critical flows + API response time optimization
−30% support calls, improved user satisfaction
A health marketplace that loads fast, converts better, and costs less to host.
Your Airtable app becomes 3x faster. Without changing a line of code.
I start by deeply understanding business goals and user needs.
Architecture decisions that support growth and maintainability.
Clean code, comprehensive testing, and thorough documentation.
Focus on measurable outcomes and real business impact.
Typical signs: pages loading in over 3s, 503 errors during spikes, cloud bills growing without proportional traffic growth, or devs spending more time on performance bugs than features.
In most cases, no. SQL query optimization, caching, and targeted refactoring of critical endpoints are enough. A full rebuild is only recommended when the architecture is fundamentally mismatched to your current use case.
An initial audit (identifying the main bottlenecks) typically takes 3 to 5 days. The optimization work that follows depends on the complexity of the issues found — from 1 week for targeted fixes to several weeks for an architectural overhaul.
Web app, automation, or AI integration — let's talk about how I can help.
Response within 24h. No sales follow-up if it's not the right time.