CareerCipher – A Mock Interviewing Platform

Hacker News

Hey HN! My co-founder and I are launching a mock interviewing service similar to interviewing.io and pramp and we wanted to get some feedback from early users. https://www.careercipher.dev/ If you’re preparing for a FAANG interview this service is for you! We’re currently charging $80 per interview and offer behavioral, algorithmic, and system design mock interviews, but we’re open to hearing feedback about what works for everyone. We’re both interviewers at Amazon and Facebook, and have assembled a team of experienced FAANG interviewers to conduct mock interviews at Career Cipher. If you’re an interviewer looking to pick up more work, we’re hiring! https://www.careercipher.dev/interviewers

Visit product View on Hacker NewsMar 5, 2022

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4points

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Did not reach leaderboard

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

67%67% 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: user, open · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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