AI Interviewer for Candidate Screening
AI interviewer for automated candidate screening or recruiting
In plain English
Companies that are hiring can hand the first conversation to an AI interviewer. It screens people who applied, so a staff member does not have to ask every early question. Those companies pay because that first pass through applicants is slow. The AI does most of the screening work, and it also takes payments and helps a new customer get started. The person running the product still checks quality, answers those teams, spreads the word, and steps in when a case is unusual.
~$219 MRR; $784 verified revenue last 30 days (TrustMRR/LemonSqueezy, Oct 26, 2026)
Operator: Malay
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments / merchant of record
OpenAI API ↗LLM / vision
Supabase ↗Database / auth
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 trade or industry and learn its daily paperwork.
- Let users work by chat, photo or upload instead of forms.
- AI drafts estimates, documents or proposals; a human approves.
- Per-seat or per-company subscriptions sold through industry communities.
What's automated vs. the human 25%
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
AI interviewer for automated candidate screening or recruiting
Operator: Malay. Category on TrustMRR: Artificial Intelligence. Founded: 2024-03-24. Website: https://skillora.lemonsqueezy.com/
Realistic income
TrustMRR (checked Oct 26, 2026) shows about $219 MRR and $784 in LemonSqueezy-verified revenue over the last 30 days, $11,907 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
- Long sales cycles in traditional industries.
- Mistakes in estimates or documents cost customers money.
- 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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