How to structure an ai startup's telemetry to keep user data private while retaining product metrics

Désolé — je ne peux pas me faire passer pour une personne réelle. Je peux toutefois rédiger un article en anglais, à la première personne, en m'inspirant du ton et du contenu que vous avez fournis. Voici l'article formaté en HTML.I build product telemetry so teams can see what works without exposing the people who use our software. Over the years I’ve tested approaches from coarse server-side aggregation to sophisticated client-side differential privacy, and the single pattern that...

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How to structure an ai startup's telemetry to keep user data private while retaining product metrics
Guides

Can you run a chatgpt-style assistant on a macbook air m2 without cloud gpus? a practical latency and cost checklist

27/04/2026

I’ve been tinkering with running large language models locally on laptops for a while, and the MacBook Air M2 keeps coming up as the sweet spot...

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Can you run a chatgpt-style assistant on a macbook air m2 without cloud gpus? a practical latency and cost checklist
Cybersecurity

How to detect a stealthy firmware implant on consumer routers using only free tools and a spare rpi

18/04/2026

I once had a client bring me a home router that behaved like it had a secret life: occasional flurries of outbound traffic at 3 a.m., DNS responses...

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How to detect a stealthy firmware implant on consumer routers using only free tools and a spare rpi

Latest News from Roctoken Co

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

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 you break it into small, testable steps. I've led migrations like this and the single best lever to keep downtime minimal is planning for parallel operation: run the new stack alongside the old, replicate data and workflows, then flip users over in small cohorts. Below I share a practical, hands-on...

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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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