AI LinkedIn Content for Sales Teams
inkiro ai helps sales teams create and post authentic content on LinkedIn.
In plain English
Sales teams use inkiro to write and post on LinkedIn, the website where people share updates about work. It studies a person's voice and older posts, drafts new ones in styles that tend to get read, and a human edits them before they go live. Teams pay a subscription because they want posts that still sound like them. The AI does most of the drafting, and it also takes payments and helps a new team get started. The person running inkiro still checks quality, supports customers, and shares examples of the writing.
~$1,085 MRR; $970 verified revenue last 30 days (TrustMRR/Stripe, Oct 24, 2026)
Operator: Francisco Raio
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
OpenAI API ↗LLM / vision
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Train on the customer's own voice and past posts.
- Generate drafts in proven formats.
- Human edits before publishing.
- Subscriptions; grow by posting the product's own output.
What's automated vs. the human 20%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
inkiro ai helps sales teams create and post authentic content on LinkedIn.
Operator: Francisco Raio. Category on TrustMRR: Social Media. Founded: 2025-04-09. Website: https://inkiro.ai/en
Realistic income
TrustMRR (checked Oct 24, 2026) shows about $1,085 MRR and $970 in Stripe-verified revenue over the last 30 days, $10,296 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Thin-wrapper risk; easy to copy.
- Generic AI content performs poorly — quality is the moat.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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