Real-Time AI Interview Assistant
An app that listens to calls and suggests answers live — ParakeetAI's pattern, grown with short-form video.
In plain English
During a live interview, ParakeetAI listens to the call and suggests answers while you are still talking. Speech becomes text, an AI chat proposes a reply, and that reply shows on screen in the moment. Job seekers pay for it because a strong answer is hard to invent under pressure. The listening and the suggestions cover much of the product, though a person still does plenty around them. The people who run it spend a lot of time making short videos that spread the word and deciding how the app should work.
$16,000/mo (operator, self-reported to Starter Story)
A named, real operator ran this and shared results publicly. The figures are their own.
Not disclosed by the source.
The tool stack
Build the app.
OpenAI API ↗Suggested answers.
Speechmatics ↗Live transcription.
Stripe ↗Payments.
Vercel ↗Hosting.
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
- Clone the core: transcribe, send to ChatGPT, show the answer.
- Launch an MVP in days (operator: 3 days).
- Grow with organic short-form video.
What's automated vs. the human 30%
The machine does
- Transcription and answers
You still do
- Content creation
- Product
Overview
Jure Sotosek (Ljubljana) and a co-founder launched ParakeetAI in September 2024. The product listens to interview calls and suggests answers in real time.
What the source reports
Starter Story: $16K revenue/mo, reached within about 3 months. Stack: Next.js, Stripe, Speechmatics, ChatGPT. Growth from free organic short-form content.
Costs
The source does not disclose startup cost.
Realistic income
Viral-dependent. Most copies get little traction.
Risks
- Ethics: the product helps candidates cheat in interviews. Reputational risk; employers are adding countermeasures.
- Self-reported numbers only.
*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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