viktor.com
The AI employee that does the work, in Slack & Teams
4.9•13 reviews•1.6K followers
The AI employee that does the work, in Slack & Teams
4.9•13 reviews•1.6K followers
Your AI tools answer questions. Viktor does the work. It lives in Slack and Microsoft Teams, connects to 3,200+ tools across your stack, and acts on its own. It watches how your team works, spots problems before anyone notices, and proposes automations built around how your company actually works. It manages campaigns, builds apps, delivers reports, and writes code. And it runs for weeks without losing context, learning your company deeper every day. Not a chatbot. An AI employee.
Products used by viktor.com
Explore the tech stack and tools that power viktor.com. See what products viktor.com uses for development, design, marketing, analytics, and more.
No-code Platforms 1
No-code Platforms 1
Voice AI Tools 1
Voice AI Tools 1
Productivity 1
Productivity 1
LLMs 1
LLMs 1
Claude by AnthropicA family of foundational AI models
5.0 (877 reviews)
Viktor lives and dies by the model under the hood. We tested every major LLM on the stuff media buyers actually need: reading ad account data, catching when CPA spikes, writing copy that doesn't sound like a robot. Claude was the only one that could hold a full campaign context and make decisions we'd actually trust with real budget. That's not a small thing when your agent is moving money around.
Engineering & Development 2
Engineering & Development 2
CursorAI coding agent
5.0 (887 reviews)
Viktor was built by a small group of engineers, and for the last stretch most of that code moved through Cursor. We tried staying in plain VS Code with assistants bolted on. Cursor's agent mode is simply faster: it holds the whole repo in its head, makes clean multi-file changes, and keeps pace with how quickly we ship. When the product you are building is an AI that does real work, your own tools have to clear the same bar. Cursor does.
VercelThe frontend cloud. Creators of Next.js.
5.0 (942 reviews)
viktor.com and our onboarding flow run on Vercel. We wanted to spend our hours on the agent, not on deploy pipelines. Every pull request gets a live preview URL, production is one click, and we have genuinely never had to think about it since. For a team that would rather build the product than maintain the plumbing, it was an easy call over self-hosting or the alternatives.
General 1
General 1
ModalThe serverless cloud infra for AI, ML, and data applications
5.0 (54 reviews)
Viktor runs its agents server-side, 24/7, which means spinning up isolated sandboxes for thousands of teams at once and scaling back to zero the moment they go idle. We looked at rolling our own on Kubernetes and at the usual serverless suspects. Modal was the only one where a Python engineer could define the whole sandbox, schedule, and scaling story in code and ship it the same afternoon. It is a big part of why a small team can run this much compute without standing up a platform team to babysit it.