Scraping & Leads
Ethical scraping: what data to extract and what limits to respect
Ethical scraping collects the minimum justified data through a stable, rate-limited and traceable process.
Notes / esedark
Notes from the work.
Architecture, automation, AI and product decisions. Technical detail with the business still in view.
Instagram & Proxies
Mobile proxies vs Android emulators: what works better for Instagram?
A proxy changes network routing; an emulator reproduces a device environment. Neither replaces compliant account operations.
CTO & Product
How to choose a technology stack for a new product
Choose the smallest proven stack that fits the product, team and operational constraints.
Cases & Personal Brand
When I say no to an automation project
Good automation starts by rejecting workflows that cannot be made compliant, observable and economically stable.
Applied AI
How to integrate AI into a SaaS without rebuilding the product
Add AI as a bounded capability around a measurable workflow, not as a rewrite of your SaaS.
Laravel & Backend
Laravel Actions, Services and Repositories: when to use each
Choose Laravel boundaries by responsibility, change frequency and testing needs—not by fashion.
Instagram & Proxies
Instagram 4G proxy: technical guide for accounts, bots and automation
Design stable, traceable 4G sessions for legitimate Instagram operations without treating an IP as a bypass.
Scraping & Leads
Scraping for sales: from public data to commercial opportunities
Build a controlled pipeline that turns permitted public data into qualified, reviewable sales opportunities.
Infra & DevOps
Docker in production: when it helps and when it complicates
Use Docker when repeatable artifacts and dependency isolation solve real deployment problems, with ownership for security and operations.
SaaS and product development
How to define MVP scope before hiring a development team
Scope the first workflow worth building, separate delivery acceptance from business validation and decide what evidence justifies expanding the product.
Mobile Automation
Bot logs: what to store to debug blocks and errors
Design structured bot logs that explain failures without leaking credentials, collecting excessive personal data or producing unusable noise.
Scraping & Leads
Scraping and AI: how to classify leads automatically
Turn permitted public records into a reviewable lead queue using deterministic filters, AI classification and measurable confidence thresholds.
Your next move
Tell me what needs to work better.
A product idea, a manual process or a system you have outgrown. Start with the problem; we can figure out the technology.
Let’s look at your project