how startups use nihmbus
from zero marketing to daily content.
describe your product. the agent researches your space, trains a voice model on your existing content, and starts generating posts. review and approve from the inbox. scale up when you're ready.
one agent, full marketing
create a subject for your product, launch a mission, and the agent handles the rest — researching your space, drafting content in your voice, scheduling posts, and engaging with your audience.
supervised until you trust it
start in supervised mode. every draft goes to your inbox for approval. as you get comfortable, raise the autonomy level and let the agent publish directly.
knowledge-grounded content
ingest your landing page, blog, and product docs into the knowledge base. the agent draws on real material when drafting — no hallucinated features, no off-brand claims.
engagement on autopilot
define engagement rules: auto-reply to thank-you messages, flag competitor mentions for manual review, route support questions to your help desk.
research without a team
need competitor pricing? influencer lists? market trends? start a research initiative. the agent builds a self-updating dataset you can query and export.
zero upfront cost
AI usage is billed on a pay-as-you-go basis. no nihmbus subscription required on day one. start with a personal workspace, upgrade when you're ready.
faq
questions from founders
how fast can I get started?
under 30 minutes. create an account, describe your product (that creates a subject), connect your social accounts, and launch a mission. the agent proposes a strategy for your review, then starts generating and publishing.
is it free?
the free tier includes 1 workspace, 3 subjects, and 3 active missions. AI usage (content generation, voice training, knowledge ingestion) is billed on a pay-as-you-go basis — typically pennies per post.
what if the agent writes something wrong?
start in supervised mode. every draft requires your approval before publishing. review, edit, and reject content from the inbox. the agent learns from your feedback and improves over time.