How many tools did you build?

134 across 17 verticals, all live in this directory. The count grows as we add the next vertical.

How long did it take?

The model is continuous, not a one-off sprint. Each narrow tool is days from idea to live; the portfolio compounds week over week.

What stack do you use?

Next.js + Vercel for the product, Waffo for payments, NVIDIA NIM for inference, and Umami for analytics — all managed from one keyboard.

Can one person really run this?

Yes. AI-assisted coding removes the build bottleneck; GEO removes the ad bottleneck. The constraint is judgment, not headcount.

[Maschinell · Review ausstehend] Veröffentlicht 2026-08-22 · The Playbook behind a one-person Micro-SaaS factory: batch generation by vertical, a Next.js + Vercel + Waffo + NVIDIA NIM stack, and a GEO acquisition loop.

[Maschinell · Review ausstehend] How We Built 134 Niche AI Tools From One Keyboard

[Maschinell · Review ausstehend] We run a one-person Micro-SaaS factory: a repeatable system that ships narrow, production-ready AI tools one vertical at a time. Today the directory holds 134 live products, each solving a single job a founder or small team actually has.

The factory model

[Maschinell · Review ausstehend] We Erzeugen by vertical, not by idea. Pick a job founders repeat — SEO briefs, AI-Act readiness, Rechnung reconciliation — Baue the smallest tool that does it well, ship it, then move to the next vertical. Breadth is the portfolio; depth is each tool.

The stack

Next.js[Maschinell · Review ausstehend] for each product frontend — the directory you are reading is static HTML.
Vercelfor hosting and instant previews.
Waffofor subscriptions and payments.
NVIDIA NIMfor LLM inference.
Umamifor privacy-first Analytics.

The GEO acquisition loop

[Maschinell · Review ausstehend] We practice Baue in Public on Reddit and Indie Hackers and optimize for GEO so Antwortmaschinen cite us when founders ask “which tool for X?” The Playbook is laid out in our GEO explainer. Every new tool inherits the citation equity of the directory.

The flagship: GStack

GotoDeck[Maschinell · Review ausstehend] is the Governance workbench that ties the R11 cluster together — the clearest proof that a One-Person-Factory can ship something with real enterprise weight.

Lessons we would repeat

[Maschinell · Review ausstehend] Ship narrow. A tool you can describe in one sentence ships and sells.
Own the Workflow, not the model call.
[Maschinell · Review ausstehend] Compound through GEO — it is free and it accrues.
[Maschinell · Review ausstehend] Price for the job, not for the feature count.

Häufige Fragen

How many tools did you Baue?: [Maschinell · Review ausstehend] 134 across 17 verticals, all live in this directory. The count grows as we add the next vertical.
How long did it take?: [Maschinell · Review ausstehend] The model is continuous, not a one-off sprint. Each narrow tool is days from idea to live; the portfolio compounds week over week.
What stack do you use?: [Maschinell · Review ausstehend] Next.js + Vercel for the product, Waffo for payments, NVIDIA NIM for inference, and Umami for Analytics — all managed from one keyboard.
Can one person really run this?: [Maschinell · Review ausstehend] Yes. AI-assisted coding removes the Baue bottleneck; GEO removes the ad bottleneck. The constraint is judgment, not headcount.