Botmonster Tech

Botmonster Tech· Tech blog on AI and self-hosting

Hands-on guides to AI, self-hosting, Linux and developer tools

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What is Botmonster Tech?

Botmonster Tech is a tech blog on AI and self-hosting.

Botmonster Tech is a hands-on blog about AI, self-hosting, Linux and the developer tools Botmonster actually uses.

Posts are grouped into six categories: AI, smart home, self-hosting, coding, web development and hardware. You will find step-by-step setup guides, head-to-head comparisons of tools and models, reviews of hardware worth owning and roundups of how Reddit and X received a new release.

Everything is tested on hardware Botmonster owns. Performance claims come with measured numbers and a public benchmark repository, so every result can be rerun on your own machine. The site also offers free browser tools: an image to SVG converter that also ships as an MCP server for AI agents, a self-hosted energy calculator that shows what a homelab draws from the wall, and the jQuery Bootpag pagination plugin. A free weekly newsletter sends the week's findings, with one-click unsubscribe.

PricingFree
LaunchedNov 2, 2026

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Joined Sep 20263 launches

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FounderPlaybooks.

What other founders did to grow.

2722 dispatches from hundreds of founders, pulled from the week's best podcasts.

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From your subscription business you can get money from people that never had a subscription and start new, people that upgraded, people that renew, or people that used to have a subscription, churned, and then came back. Having the history of how these four buckets evolve can tell you a lot.

Map revenue in four buckets — new, upgrade, renewal, winback — to spot anomalies instantly

Rather than watching a single revenue line, decompose it into four cohort flows: new subscribers, upgrades, renewals, and reactivations. When a single bucket moves, it narrows the cause immediately — a spike in new subscriber revenue points to a pricing or acquisition change, not a product problem. This framework makes historical diagnosis fast and makes gaps in your experiment log visible.

Product
you would never hire a uh human employee and then not give them a brief on the type of tasks that you want to do right you wouldn't hire an agency and say um you you make up the marketing campaign I don't care you know you would say okay here's the brief here's the kind of thing I'm looking for

Prompt principles are just manager onboarding: brief, format, examples

The same instincts that make a good manager make a good prompter: give clear direction, specify the format (JSON, bullets, paragraph count), supply examples of past good work, inject knowledge the model doesn't have, and state opinions the average person wouldn't. These principles survived the GPT-3 to GPT-4 jump and will likely outlive GPT-5.

There's a play for whatever you're stuck on.

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