Should I Build It Should I Build It
20 May 2025
Education

Codedln is an AI-powered interview preparation platform that simulates ...

...real-world technical interviews. It offers Solo and Live Mock modes across interview types like coding, system design, behavioral, and phone interviews. Users can practice through structured features like Flow (multi-round tracks), Challenge (head-to-head), and Joblab (fictional job simulations). Each session is recorded, transcribed, and analyzed using AI for detailed feedback

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Freemium

People love using similar products but resist paying. You’ll need to either find who will pay or create additional value that’s worth paying for.

Should You Build It?

Build but think about differentiation and monetization.

Your are here

Codedln enters a competitive market for AI-powered interview preparation, as indicated by the 25 similar products we've identified. This suggests strong interest in this area but also means you'll need a clear differentiation strategy. The average engagement for these kinds of products is medium, so creating a product that really grabs attention and generates discussion is crucial. Given the 'Freemium' category, people are interested in using these tools, but often reluctant to pay. You'll need to figure out how to provide enough value in the free version to attract users, while also offering compelling paid features that are worth the upgrade. Concerns about cheating and misrepresentation through AI tools were expressed by users in similar product launches. You must ensure a fair and scalable assessment process, emphasizing skills evaluation over scripted responses.

Recommendations

  1. Focus initially on users who derive the most value from the free version of Codedln. Perhaps this is students preparing for initial interviews, or those looking for a quick refresher. Understand their needs deeply through surveys and user interviews.
  2. Develop premium features specifically tailored to address the advanced needs of these high-value free users. For example, offer personalized feedback on system design interviews, access to more specialized interview simulations, or advanced analytics on their performance.
  3. Explore a team-based pricing model. Companies looking to upskill their employees or universities preparing their students might be willing to pay for a platform like Codedln. This can provide a more sustainable revenue stream compared to individual subscriptions.
  4. Offer personalized help or consulting services, especially around career coaching or interview strategy. This adds a human touch to the AI-powered platform, addressing concerns about the impersonal nature of AI tools. This could include resume reviews, mock interviews with human experts, or career guidance sessions.
  5. Test different pricing strategies with small groups of users. Try offering tiered pricing based on the number of mock interviews, features accessed, or the level of support provided. This will help you identify the optimal pricing point that maximizes revenue without alienating users.
  6. Address concerns about cheating by incorporating features that promote genuine skill development. Implement measures to detect and prevent scripted responses, and focus on assessing problem-solving abilities rather than rote memorization.
  7. Improve the UI based on user feedback, as clunky UI was a common complaint. Prioritize a clean, intuitive design to enhance the user experience and encourage repeat usage.
  8. Ensure your interview recording feature is fully functional across all major browsers and operating systems, addressing a reported bug in similar products. Thorough testing is crucial to maintain a positive user experience.
  9. Consider adding guardrails on job titles to avoid inconsistencies. Conduct regular audits to check for biases in your AI algorithms and actively mitigate them. Communicate your efforts to ensure fairness and transparency.

Questions

  1. Given the concerns about AI bias in hiring processes, how will you ensure that Codedln provides unbiased and fair feedback to all users, regardless of their background?
  2. Considering the freemium model, what specific features will you reserve for the premium version to incentivize upgrades, without making the free version feel too limited?
  3. How will you differentiate Codedln from competitors in a crowded market, especially in terms of the quality and depth of AI-driven feedback and the types of interview simulations offered?

Your are here

Codedln enters a competitive market for AI-powered interview preparation, as indicated by the 25 similar products we've identified. This suggests strong interest in this area but also means you'll need a clear differentiation strategy. The average engagement for these kinds of products is medium, so creating a product that really grabs attention and generates discussion is crucial. Given the 'Freemium' category, people are interested in using these tools, but often reluctant to pay. You'll need to figure out how to provide enough value in the free version to attract users, while also offering compelling paid features that are worth the upgrade. Concerns about cheating and misrepresentation through AI tools were expressed by users in similar product launches. You must ensure a fair and scalable assessment process, emphasizing skills evaluation over scripted responses.

Recommendations

  1. Focus initially on users who derive the most value from the free version of Codedln. Perhaps this is students preparing for initial interviews, or those looking for a quick refresher. Understand their needs deeply through surveys and user interviews.
  2. Develop premium features specifically tailored to address the advanced needs of these high-value free users. For example, offer personalized feedback on system design interviews, access to more specialized interview simulations, or advanced analytics on their performance.
  3. Explore a team-based pricing model. Companies looking to upskill their employees or universities preparing their students might be willing to pay for a platform like Codedln. This can provide a more sustainable revenue stream compared to individual subscriptions.
  4. Offer personalized help or consulting services, especially around career coaching or interview strategy. This adds a human touch to the AI-powered platform, addressing concerns about the impersonal nature of AI tools. This could include resume reviews, mock interviews with human experts, or career guidance sessions.
  5. Test different pricing strategies with small groups of users. Try offering tiered pricing based on the number of mock interviews, features accessed, or the level of support provided. This will help you identify the optimal pricing point that maximizes revenue without alienating users.
  6. Address concerns about cheating by incorporating features that promote genuine skill development. Implement measures to detect and prevent scripted responses, and focus on assessing problem-solving abilities rather than rote memorization.
  7. Improve the UI based on user feedback, as clunky UI was a common complaint. Prioritize a clean, intuitive design to enhance the user experience and encourage repeat usage.
  8. Ensure your interview recording feature is fully functional across all major browsers and operating systems, addressing a reported bug in similar products. Thorough testing is crucial to maintain a positive user experience.
  9. Consider adding guardrails on job titles to avoid inconsistencies. Conduct regular audits to check for biases in your AI algorithms and actively mitigate them. Communicate your efforts to ensure fairness and transparency.

Questions

  1. Given the concerns about AI bias in hiring processes, how will you ensure that Codedln provides unbiased and fair feedback to all users, regardless of their background?
  2. Considering the freemium model, what specific features will you reserve for the premium version to incentivize upgrades, without making the free version feel too limited?
  3. How will you differentiate Codedln from competitors in a crowded market, especially in terms of the quality and depth of AI-driven feedback and the types of interview simulations offered?

  • Confidence: High
    • Number of similar products: 25
  • Engagement: Medium
    • Average number of comments: 4
  • Net use signal: 8.9%
    • Positive use signal: 13.5%
    • Negative use signal: 4.7%
  • Net buy signal: -1.9%
    • Positive buy signal: 0.0%
    • Negative buy signal: 1.9%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

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Technical interviews are hard, so we built a voice agent for practice

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Hey HN! I’m Andrew, and I built Code Coach with my good friends, Akshay and Chetan.Code Coach is an AI-powered interview coach that you talk to. It plugs right into Leetcode and turns any problem into a mock interview – it grills you the same way a real interviewer would and provides in-depth feedback on where you can improve.I built Code Coach to solve some of my own problems when practicing for technical interviews. I knew I had to practice communicating my reasoning while coding, but found it intimidating to schedule mock interviews with friends. More often than not, I ended up talking to a wall to replicate a more ‘real’ interview environment! Code Coach allows me to simulate unlimited mock interviews and master more challenging problems with live guidance.Here’s the link - https://www.trycodecoach.com (try out our demo!).With latency, transcription, and speech synthesis improving in the Voice AI space, the timing is ripe for more personalized, live coaching products. Thanks for the support, excited to hear your feedback!

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Code Coach - AI voice coach for technical interview practice

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Code Coach is an AI-powered interviewer that you talk to. It plugs right into Leetcode and turns any problem into a mock interview – it simulates a realistic interview environment and provides in-depth feedback on where you can improve.

The Product Hunt launch received positive feedback and congratulations from users. The central theme revolves around the innovative concept of Large Language Models (LLMs) shifting computer interactions back towards oral communication. This idea was explicitly highlighted as noteworthy.

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Interviews Chat – Never bomb another job interview with this AI copilot

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Hey HN! I'm Artur, a full-stack developer with a passion for building tools that solve real-world problems. After years of navigating the often-stressful world of job interviews, I decided to build Interviews Chat, an AI-powered platform designed to help you prepare for and ace your next interview.Here's what Interviews Chat offers:Personalized Question Prep: Paste your resume and the job description, and our AI will generate a tailored list of potential interview questions. No more generic lists – get ready for the specific questions you're most likely to face.Realistic Practice: Record your answers to practice questions in a simulated interview environment using your webcam. This helps you get comfortable with the format and build confidence.In-depth Feedback: Our AI analyzes your recorded responses, providing detailed feedback on content relevance, clarity, and even your confidence level.Real-time Interview Copilot: For those crucial live interviews, our AI acts as a silent partner, listening in and offering real-time suggestions on what to say next. It can even analyze whiteboard challenges and coding tasks to help you shine.Tech Stack:Interviews Chat leverages the power of Next.js, React, Vercel, and OpenAI's cutting-edge language models (GPT, Whisper) to deliver a seamless and effective interview preparation experience.Why I Built It:I believe everyone deserves to feel confident and prepared going into a job interview. Interviews Chat removes the guesswork and anxiety, providing you with the tools and insights you need to showcase your skills and land your dream job.Try it out:I'm excited to share Interviews Chat with the HN community. You can try it out with free credits at https://www.interviews.chatI'd love to hear your feedback and suggestions!

The Show HN product, an AI tool for interviews, has received mixed reactions. Users highlighted its potential to assist with real-time suggestions, but many expressed concerns about cheating, misrepresentation, and the degradation of interview quality. Some are excited about the technology, while others prefer traditional methods and worry about overuse. There's interest in the product's features like language support and pricing, but also suggestions for improvements like an 'interviewer' mode. Overall, the technology is seen as controversial, with debates on its impact on the job market and interview processes.

Users criticize the use of AI in interviews, highlighting concerns about cheating, lack of scalability, and the potential for AI to worsen the quality of life. They argue that AI tools can make it harder to assess candidates properly and put honest individuals at a disadvantage. There's also worry about AI leading to more scripted responses, increased CV filtering, and hostility from interviewers. Technical issues with AI tools and the risk of fraud are also mentioned, as well as concerns about spyware.

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Hey HN! I'm Nathan and I built a free AI mock interviewer for system design interviews.How many of you have gone through the entire software engineering interview loop only to mess up on the single system design interview? We've all been there—acing the coding rounds only to stumble on that one crucial hour of system design.While there are plenty of resources to improve on system design—blogs, books, videos, and courses—none of these quite capture the real experience of an interview. The nearest would be paying any of the existing mock interview services $200+ for just one mock interview!Enter Interview Shepherd (www.interviewshepherd.com/), an AI mock interviewer designed to help you prepare for system design interviews as realistically as possible!What are Interview Shepherd's core features? Real-Time Speech to Speech: Engage in natural, conversational practice sessions with our AI, simulating a real interview environment. Currently 20+ different system topics Post-Interview Feedback: Get detailed feedback to understand your strengths and areas for growth. Interactive Whiteboard: Sketch and refine your system designs in real-time, just like during an actual interview. Live Transcription: Receive instant transcriptions of your interviews for easy review and improvement.Check it out today with the beta version for FREE and let me know what you all think!Still not convinced yet? Check out a demo: https://www.loom.com/share/0cd01ccc107e4d1386970a2d5196fd3d?...

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Hello HN! Today, I released a job interview simulator that I've been building for the past month.It helps you practice job interviews with an AI hiring manager who asks the most common questions and provides extensive feedback at the end of each session.I believe it's useful for English language learners, as well as students and professionals looking for a partner to practice interview skills.Please try it out and let me know your thoughts!

Recording doesn't work on Safari iOS.

Recording doesn't work on Safari iOS.

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The UI could be improved.

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AI-based coach for behavioral interview preparation.

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Users criticized the lack of integration between design and presentation tools. A broken website link was reported. A suggestion was made to incorporate a progress tracking feature to improve the product's functionality.

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Hi HN, I'm working on a technical interview prep platform that uses AI to help you. As of now, the platform is missing a lot of features and only has a few problems, but I wanted some feedback on the idea.Currently, Cipher is basically just leetcode but with a chatbot to help you answer questions. However, I was wondering if I should shift in a different direction, which would be more helpful to have an AI assistant (i.e., AI mock interviewer), or if optimizing the current idea is best.Also, any suggestions on either a) features to add and b) feedback in general would be greatly appreciated!Thank you in advance!

Cool website, suggests Google sign up for convenience

No Google sign up option

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Created AI tool for technical interview questions.

Might be another flop.

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Coding Guru

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