Interview Assistant – AI-Powered Interview Aid for Real-Time Support

Hacker News

Hello HN, Introducing Interview Assistant, an AI-powered tool designed to provide real-time assistance during your technical interviews. Our product offers: • On-the-fly AI-generated suggestions to help you articulate your thoughts clearly and confidently. • Real-time transcriptions and feedback to keep you on track. • The ability to send screenshots of your desktop for instant analysis and guidance. We use Deepgram for transcription and OpenAI Gpt-4o and GPT-4o-mini models for summarizing the interview, giving feedback scores, responding to questions, responding to screenshots, and summarizing the resume. Whether you’re prepping for coding challenges or tackling behavioral questions, the Interview Assistant acts as your personal wingman, ensuring you navigate the toughest questions with ease. Check out Web Interview Assistant and tell us what you think Angelos

Visit product View on Hacker NewsJul 29, 2024

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, openai · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Real-Time Interview Assistant32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Real-Time Interview Assistant

Hacker News1

ResumeBurger64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

From résumé to interview – in no time.

Indie Hackers1$500/mob2c

HiredCopilot43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI résumé tailoring you can defend in an interview

Indie Hackerscommitment-full-time

Teckiypad43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The modern coding interview platform with real-time collabor

Indie Hackers1ai

Interview Terminator34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interview Terminator

Hacker News1

Interview with Dave McClure, 500Startups34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interview with Dave McClure, 500Startups

Hacker News1

ISSforAPUSH is conducting an "aggregated interview"50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ISSforAPUSH is conducting an "aggregated interview"

Hacker News2

Successfulmakers29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Interview for entreprenuers

Indie Hackers

The Debrief43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your interview, debriefed.

Indie Hackers1ai

OfferGenie44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your AI-Powered Interview Copilot

Product Hunt+321Productivity

Browse all products Analyze your launch