AI Competitor & Demand Intelligence for SaaS
An AI demand and competitor intelligence platform for SaaS teams. Track every competitor's new features, pricing moves, funding, hiring and positionin…
In plain English
Software companies that sell online subscriptions use Linkeddit to watch rivals and nearby demand. It tracks new features, price changes, funding, hiring, and how a rival describes itself, plus complaints on review sites, blogs, change notes, and communities. It checks whether popular AI chats recommend the company or a rival, suggests how to close gaps, and spots people saying they want to leave a competitor. Teams pay monthly per site or account because gathering that by hand is too scattered. The AI does most of the collecting and summarizing and takes payments, while the person running Linkeddit still checks quality, helps customers, and can offer a free checkup.
~$473 MRR; $772 verified revenue last 30 days (TrustMRR/Stripe, Oct 27, 2026)
Operator: Om Patel
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
OpenAI API ↗LLM / vision
Google Search Console ↗Search data
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
- Pick one painful marketing job and automate it end to end.
- Connect the customer's real data (Search Console, ads, analytics).
- Monthly subscriptions by site or account.
- Grow with SEO content and free audits.
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
An AI demand and competitor intelligence platform for SaaS teams. Track every competitor’s new features, pricing moves, funding, hiring and positioning pivots, plus the complaints their customers post everywhere: G2, Capterra, TrustRadius, Trustpilot, blogs, changelogs, and communities. See whether ChatGPT, Gemini, Claude and Perplexity recommend you or a rival, and how to fix the gaps. Find the buyers publicly asking to leave a competitor.
Operator: Om Patel. Category on TrustMRR: Sales. Founded: 2024-07-28. Website: https://www.linkeddit.com/
Estimated split: about 80% of the work automated, 20% human.
Realistic income
TrustMRR (checked Oct 27, 2026) shows about $473 MRR and $772 in Stripe-verified revenue over the last 30 days, $11,944 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
- Crowded marketing-tool category.
- Google/API changes can break features.
- 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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