Side project
Lynx Studio
Creative studio for startups and brands, digital experiences that connect and perform.
Projects
Selected projects from recent years, three different industries, one principle: I build automation as infrastructure, not marketing slides. Numbers shown are illustrative; they convey scale and impact, not exact operational statistics.
Real projects & websites
Side project
Synthetix
Landing page for AI automation and integrations, from hero to call to action.
Side project
Vrstva
Studio for tech brands, strategy, design and development on one site.
Side project
Synapse
Studio for UI/UX, branding, illustration and web, a portfolio presentation.
Own product
Waygo
A marketplace of Prague experiences for hotel guests: boats, walks, food and evenings a local would actually pick. Guests scan a QR code and book on their phone.
Website concept
LUMI Lash & Brow
Website for a lash and brow studio in Vinohrady: online booking, this week's free slots and services from brow lamination to lash lift.
Website concept
U Staré Pošty
Website for a traditional Czech restaurant near Wenceslas Square: lunch menu, full menu and table booking.
Own agency
SiteSpot
Our agency site: websites that sell, AI agents, chatbots and automation for growing businesses.
Side project
String Lab
Interactive lab with 566 machine-verified derivations in string theory and astrophysics: formula catalogue, live charts, eight 3D scenes and a simulation studio.
Side project
AstroPhysics Study Lab
Offline study dashboard for astrophysics: roadmap, calculations, notebooks, research notes and a focus timer.
Client website
Optik Dvořák
Website for a family-run optician in Pilsen, eye exams, designer frames, offers and contact.
🔒 Client website
Richard Topinka
Portfolio for a fine-art and portrait photographer from Pilsen. Themed galleries with a focus on atmosphere.
🔒 Client website
Autoservis Topinka
Website for a car repair shop in Pilsen, services, inspections, pricing, booking and contact.
Client site · Australia
East Hills Barbers
Website for a barbershop in Sydney (East Hills, NSW). Premium dark look, services and pricing, plus online booking through Cal.com, walk in or book in a couple of taps.
Concept · Australia
The Meat Boss Butchery
Concept website for a family butcher in Padstow (NSW, Sydney). Order your cuts from your phone, say how you want them trimmed, pick them up at the counter without queueing. Built on spec as a demonstration, the shop is not a client.
🔒 Client demo
Fencl Video
A clickable prototype of an AI tool for scoring marketing videos, verdict, weak-spot heatmap and top 3 fixes within two minutes.
🔒 Pitch · password
Ippa Caffe pitch
A pitch website for the Ippa café in three languages (CZ / EN / DE). Client demo, password protected.
···
In progress
Synx
A side project in development. Details coming soon.
Launching soon →
Sample case studies
Invoicing automation
A global logistics company processed international invoicing by hand: a team of four re-typed data between the TMS, the customs database and accounting. Every shipment waited on paperwork, 48 hours on average.
Starting point
- 4 full-time employees just re-typing data between three systems
- ~3% manual re-typing error rate, every error meant a customs delay
- Invoicing capped growth: more shipments = more people
Solution
I built event-driven orchestration on custom middleware: every event in the TMS (loading, border crossing, delivery) automatically triggers data validation, customs document generation and posting to accounting. It connects to the existing systems via API, so the company didn't have to change software. People handle only the exceptions the pipeline flags for manual review.
- Connected to the existing TMS and accounting system via API, no software replacement
- A validation layer with rules for 14 countries
- An exceptions dashboard, the team sees only cases that need a decision
Solution preview
#SH-88214Prague → HamburgProcessed · 9 min
#SH-88215Brno → ViennaProcessed · 12 min
#SH-88216Ostrava → KatowiceIn progress · validation
#SH-88217Prague → RotterdamException → manual review
Today: 0 shipments⌀ processing: 11 min● pipeline running
Pipeline monitoring dashboard preview (illustrative data).
Result
48 h → 11 minshipment processing time
−97%documentation error rate
3.2 monthsreturn on investment
The figures above are modelled, not measured at a client. They show the scale and type of impact, not the operating statistics of a delivered engagement. Documented figures appear only in the Galochrom study above.
Internal AI assistant
A bank's internal helpdesk received over 900 queries a day, from password resets to interpreting internal policies. Twelve operators dug through thousands of pages of documentation for answers. Public AI tools were unusable due to regulation.
Starting point
- Average response time of 4.5 hours, with daytime peaks
- Strict requirements: no data may leave the bank's infrastructure
- Knowledge scattered across directives, wikis and e-mail threads
Solution
I deployed a stateful conversational agent on RAG architecture, running entirely in the bank's private cloud. It was trained exclusively on internal documentation; it backs answers with source citations and hands complex cases to humans with the full conversation context.
- A private vector database, APIs with no data retention
- Every answer linked to its source directive, auditability
- Escalation protocol: uncertainty → handover to an operator, never a guess
Solution preview
What's the limit for instant payments on business accounts?
The instant payment limit for business accounts is CZK 2,500,000 per transaction. Payments above this limit automatically fall back to standard processing.Source: Directive PL-2024/07 · art. 4 par. 2
And who can raise the limit for a client?
Limit increases are approved by the risk department at the request of the client's banker. The request form is in the system under RM-07. Shall I hand this over to an operator?Source: Directive RM-2023/11 · art. 7
⌀ response: 40 s78% without escalation● data never leaves the bank
Internal agent conversation preview (illustrative data).
Result
78%of queries resolved without an operator
4.5 h → 40 smedian response time
0data leak incidents
The figures above are modelled, not measured at a client. They show the scale and type of impact, not the operating statistics of a delivered engagement. Documented figures appear only in the Galochrom study above.
Customer churn prediction
A fleet-management SaaS platform was losing customers quietly: when a client stopped using the product, the team found out only from the cancellation notice. Customer success reacted late and indiscriminately.
Starting point
- Monthly churn of 4.1%, growing with the customer base
- Churn signals sat in telemetry nobody evaluated
- Customer success called customers blindly
Solution
I designed predictive middleware that reads product telemetry in real time, scores each account's churn risk and triggers graduated interventions on its own: from a personalized onboarding e-mail to a task for the account manager with a precise description of what's happening with the client.
- Connected to product telemetry, CRM and e-mailing via API
- A risk model retrained weekly on fresh data
- Interventions escalate by score, automation handles light cases, people the critical ones
Solution preview
Fleetio Trans
18
stable, no action
Logimax s.r.o.
54
→ onboarding e-mail sent
TransCargo CZ
87
→ task for the account manager
Detection lead time: 0 daysMonitored: 0 accounts● model retrained 2 days ago
Churn risk dashboard preview (illustrative data).
Result
−31%customer churn per quarter
9 daysaverage risk detection lead time
5×higher retention campaign reach
The figures above are modelled, not measured at a client. They show the scale and type of impact, not the operating statistics of a delivered engagement. Documented figures appear only in the Galochrom study above.
Dealing with something similar? Write to me, I'll gladly look at your case and tell you whether and how it can be automated.
Get in touch