Olaf Becker

LSE Diurnum is a SAAS & self-hosted, clustered blogging and content platform built in-house at LSE, with SaaS and on-premises options coming. It's modern Node.js with a built-in API gateway. It includes SEO, AEO and GEO tooling, so content gets found by search engines and AI assistants. Sign-in works through LDAP/Active Directory with SSO. A media library shows which images each post uses and lets you safely delete the ones nobody uses. It's already in production: our own blog (blog.lumanet.info) runs on it, with automatic failover across a cluster. We're opening a beta for early customers who want a fast, self-controlled alternative to hosted blog platforms.

Æquitas Load Balancer spreads incoming traffic across your servers so no single one gets overwhelmed, and keeps your product fast and online when demand spikes. It also protects what’s behind it: a built-in firewall blocks unwanted traffic, a web application firewall stops common attacks, and Layer 7 routing sends each request where it belongs. Outbound SNAT lets your servers reach the internet through one controlled address.

CenTest is a monitoring and penetration-testing platform for security teams. Lightweight Go agents run scheduled and on-demand scans across customer networks and report back over encrypted gRPC, so findings reach the dashboard without opening inbound ports. [Who uses it, e.g. “Built for MSPs and in-house security teams.”] [One number, e.g. “Averages X hosts scanned per run, with alerts in under Y minutes.”]

Omni-Channel Marketing Platform schedules and publishes social posts across channels from one dashboard, with per-channel posting times and AI-assisted translation. Starter covers 10 platforms (X, Facebook, Instagram, Pinterest, Threads, WhatsApp, Blogger, Bluesky, Mastodon, Tumblr), and Professional adds more, including LinkedIn, YouTube, and more are coming. Every post collects views, reactions, comments, and shares over time, so teams can find their own best posting times. Built for marketing teams that have outgrown basic schedulers but don’t need an enterprise suite. Free 15-day trial, no credit card.

Hi everyone, I’m Olaf Becker, founder and CEO of LSE Group Corporation, a technology holding company. We operate three divisions: an omni-channel marketing platform (SaaS), IT security solutions, and alternative energy.

My background is in enterprise systems, going back decades across private banking, hotel reservation systems, and payment processing. That experience shapes how I build: reliability first, then features.

Right now I’m focused on two things. On the product side, our Omni-Channel Marketing Platform handles publishing and per-post analytics across up to 16 social and content platforms, depending on the tier. On the infrastructure side, we’re planning a GPU server buildout in a colocation cage at Ashburn, Virginia, using HPE XD-series systems.

I’d value conversations with people who have run AI workloads on dedicated hardware, especially around power and cooling planning, and with anyone who has added AI features to a marketing or SaaS product. What’s one lesson you’d give a founder starting an AI build today?

LSE Group Corporation lumanet.info