How to run a private gpt-style assistant on an intel nuc with minimal latency and cost

I run a private GPT-style assistant at home on an Intel NUC because I wanted low latency, full data control and predictable running costs. Over the past year I iterated on hardware, models and deployment patterns until I hit a sweet spot: sub-second response times for short prompts, multi-second but usable answers for longer generations, and monthly costs that are basically power + occasional SSD replacements. Below I walk through what worked for me and why — from picking the right NUC...

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How to run a private gpt-style assistant on an intel nuc with minimal latency and cost
Cybersecurity

How to detect supply-chain tampering in third-party sdks before they reach production using free tooling

11/02/2026

I remember the first time a third‑party SDK caused a late‑night incident: a benign analytics library I’d approved began exfiltrating data after...

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How to detect supply-chain tampering in third-party sdks before they reach production using free tooling
Guides

How to migrate a 50-person agency from google workspace and slack to self-hosted nextcloud and matrix with minimal downtime

27/01/2026

Migrating a 50-person agency off Google Workspace and Slack onto self-hosted Nextcloud and Matrix is one of those projects that sounds daunting until...

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How to migrate a 50-person agency from google workspace and slack to self-hosted nextcloud and matrix with minimal downtime

Latest News from Roctoken Co

How to audit mobile apps for covert data exfiltration using only free tools and a cheap android phone

I’ve spent a lot of time testing apps on cheap Android phones to answer one simple question: is an app quietly siphoning data off your device? You don’t need expensive lab gear to do a credible audit. With a cheap Android handset, a laptop, and a handful of free tools, you can perform both static and dynamic checks that expose common covert exfiltration techniques — DNS tunnelling, data-in-query-strings, encrypted uploads to...

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How to safely integrate smart locks with alexa and google home while preventing local network attacks

When I started replacing my deadbolt with a smart lock, I was excited by the convenience: one tap to unlock for a delivery driver, voice control through Alexa while my hands were full, and temporary codes for guests. What I didn't immediately appreciate was how a poorly integrated smart lock can become a local network attack vector. Over time I've learned to treat smart locks like the sensitive endpoints they are; you don't leave the front door...

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How to run a privacy-preserving fine-tuned llm on a raspberry pi 5 without cloud costs

I wanted to run a useful, private large language model (LLM) from my home lab without paying recurring cloud bills or leaking sensitive data to third parties. After a few evenings of tinkering I got a workflow that works reliably on a Raspberry Pi 5: fine‑tune (or adapt) a model on my local workstation, quantize it, and serve a compact, privacy-preserving instance on the Pi. In this guide I’ll walk you through the practical steps,...

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How to vet third-party SDKs before integrating them into consumer apps

I remember the first time I shipped an app that pulled in a third‑party SDK. It promised analytics, crash reporting and a couple of slick UI widgets — all in one package. The integration was painless and the demo looked great. A week later we started seeing unexpected traffic spikes, unexplained permissions prompts, and a client worried about leaked PII. That experience taught me to treat SDKs like components of my attack surface, not just...

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Choosing between Redis, PostgreSQL, and RocksDB for real-time analytics pipelines

I build and analyze data systems for a living, and one of the recurring questions I get from engineering teams and startups is: “Which storage should we pick for our real‑time analytics pipeline — Redis, PostgreSQL, or RocksDB?” I’ve spent time prototyping pipelines with all three, tuning them under load, and pushing them into production. Below I share a pragmatic, experience‑based guide to help you choose the right tool depending on...

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How to detect stealthy IoT devices on your home network using free tools

Quiet devices are the worst kind: they blend into your home network like wallflowers until something goes wrong. Over the last few years I’ve spent a lot of time hunting down “stealth” IoT gadgets — cameras that phone home on odd ports, smart bulbs that appear under generic hostnames, and devices that never show up in the router GUI. Below I’ll walk you through practical, free techniques and tools I use to find, fingerprint and monitor...

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Why your firmware updates fail and how to make device upgrades reliable in the field

I’ve spent years testing devices, pushing firmware images over flaky networks, and waking up to devices bricked by a half-applied update. Firmware updates are where the rubber meets the road for security, reliability and user trust — and they’re also where product teams make mistakes that turn manageable risks into expensive field failures. In this piece I’ll walk through why firmware updates fail in the real world and share concrete...

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A hands-on guide to securing open Wi‑Fi in coworking spaces without breaking usability

I spend a lot of time working from coffee shops, libraries and coworking spaces, and one question keeps coming up from readers, founders and friends: how do you secure devices and data on an open Wi‑Fi network without turning every connection into a fortress that destroys usability? In this hands‑on guide I walk through the practical steps I use to protect myself and my team in shared spaces. No theoretical laundry list — just workable...

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Comparing on‑device speech recognition engines for offline dictation workflows

When I moved several long-form writing workflows entirely offline, the single biggest friction point was reliable, accurate dictation that respected privacy and worked without an internet connection. Cloud ASR (automatic speech recognition) is great for accuracy, but for sensitive notes, interviews, or fieldwork where connectivity is spotty, on-device speech recognition is the only realistic option. I spent months evaluating and integrating...

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Practical privacy audit: what Google, Apple, and Microsoft really collect from your phone

I started this practical privacy audit because I got tired of vague privacy promises from big tech and wanted something I could apply to my own phone in under an hour. If you carry a smartphone from Google, Apple or Microsoft, you’re handing that company a lot of signals about your life—even when you think you’ve turned everything off. Below I walk through what these companies actually collect, how to find the evidence on your device and...

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