Should I Build It Should I Build It
02 Jul 2025
Hiring Career

A job tracker for job seeker to be able to manage and track all the ...

...positions they applied for as well as create AI tailored resumes and cover letters and a chrome extension

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Swamp

The market has seen several mediocre solutions that nobody loves. Unless you can offer something fundamentally different, you’ll likely struggle to stand out or make money.

Should You Build It?

Don't build it.

Your are here

You're entering a crowded space with your job tracker, AI resume/cover letter generator, and Chrome extension. We found 15 similar products, which means there's high competition. User engagement is low across these similar products, with an average of only 2 comments per launch. Because of this high competition and low engagement you're going to need to find a way to drastically differentiate yourself from existing solutions which users are clearly not engaging with in a meaningful way. Many have tried to solve this problem and user criticism revolves around AI-powered applications, issues with ATS systems and data privacy.

Recommendations

  1. Given the crowded market, thoroughly research why existing job application tools haven't fully satisfied users. Dive deep into user reviews and identify pain points that current solutions are missing. Look into the criticisms related to the similar products and make sure to address these in your approach. Don't just replicate existing features.
  2. Instead of targeting all job seekers, identify a specific niche with unique needs. For example, focus on a particular industry, experience level, or those with specific career gaps. Tailoring your features and marketing to a smaller audience will help you stand out.
  3. Before building a standalone product, explore creating tools or integrations for existing job platforms or applicant tracking systems (ATS). This could be a faster way to gain traction and provide value without directly competing with established players.
  4. Based on the similar product discussions, users are concerned about data privacy and the potential for AI to worsen the job application process. Clearly communicate your data privacy policies and how your AI enhances, rather than hinders, the application process. Consider features that address these concerns directly, such as anonymizing data or providing explanations for AI-driven suggestions.
  5. Focus on a specific problem within the job search process, such as ATS compatibility, resume formatting, or cover letter generation. By excelling in one area, you can attract users seeking a specialized solution. Given user criticism about ATS systems, consider focusing on helping candidates navigate these systems effectively.
  6. Instead of a generic AI resume builder, tailor the AI to analyze job descriptions and highlight relevant skills. This could save users time and improve their chances of getting noticed. Also make sure to offer users control over the final output, addressing concerns about generic AI-generated content.
  7. Given users' concerns about the time and effort required for manual data entry, prioritize seamless integration with job boards and LinkedIn. Automate data import and reduce the need for users to retype information. This will improve user experience and increase adoption.
  8. Consider pivoting to an adjacent problem, such as interview preparation, salary negotiation, or career coaching. These areas may have less competition and a stronger demand for personalized solutions.
  9. If the idea still feels too risky, consider putting it on hold and focusing on other opportunities. Sometimes the best decision is to save your resources for a more promising venture. Don't be afraid to cut your losses and move on to something else.

Questions

  1. Given the negative sentiment towards AI-driven job applications, how will your product ensure it enhances the process rather than clogging pipelines and harming genuine applicants?
  2. Considering the challenges posed by ATS systems, what specific features will your job tracker offer to help candidates bypass filters and get noticed?
  3. How will you address user concerns about data privacy and ensure that your product doesn't exploit user data for profit?

Your are here

You're entering a crowded space with your job tracker, AI resume/cover letter generator, and Chrome extension. We found 15 similar products, which means there's high competition. User engagement is low across these similar products, with an average of only 2 comments per launch. Because of this high competition and low engagement you're going to need to find a way to drastically differentiate yourself from existing solutions which users are clearly not engaging with in a meaningful way. Many have tried to solve this problem and user criticism revolves around AI-powered applications, issues with ATS systems and data privacy.

Recommendations

  1. Given the crowded market, thoroughly research why existing job application tools haven't fully satisfied users. Dive deep into user reviews and identify pain points that current solutions are missing. Look into the criticisms related to the similar products and make sure to address these in your approach. Don't just replicate existing features.
  2. Instead of targeting all job seekers, identify a specific niche with unique needs. For example, focus on a particular industry, experience level, or those with specific career gaps. Tailoring your features and marketing to a smaller audience will help you stand out.
  3. Before building a standalone product, explore creating tools or integrations for existing job platforms or applicant tracking systems (ATS). This could be a faster way to gain traction and provide value without directly competing with established players.
  4. Based on the similar product discussions, users are concerned about data privacy and the potential for AI to worsen the job application process. Clearly communicate your data privacy policies and how your AI enhances, rather than hinders, the application process. Consider features that address these concerns directly, such as anonymizing data or providing explanations for AI-driven suggestions.
  5. Focus on a specific problem within the job search process, such as ATS compatibility, resume formatting, or cover letter generation. By excelling in one area, you can attract users seeking a specialized solution. Given user criticism about ATS systems, consider focusing on helping candidates navigate these systems effectively.
  6. Instead of a generic AI resume builder, tailor the AI to analyze job descriptions and highlight relevant skills. This could save users time and improve their chances of getting noticed. Also make sure to offer users control over the final output, addressing concerns about generic AI-generated content.
  7. Given users' concerns about the time and effort required for manual data entry, prioritize seamless integration with job boards and LinkedIn. Automate data import and reduce the need for users to retype information. This will improve user experience and increase adoption.
  8. Consider pivoting to an adjacent problem, such as interview preparation, salary negotiation, or career coaching. These areas may have less competition and a stronger demand for personalized solutions.
  9. If the idea still feels too risky, consider putting it on hold and focusing on other opportunities. Sometimes the best decision is to save your resources for a more promising venture. Don't be afraid to cut your losses and move on to something else.

Questions

  1. Given the negative sentiment towards AI-driven job applications, how will your product ensure it enhances the process rather than clogging pipelines and harming genuine applicants?
  2. Considering the challenges posed by ATS systems, what specific features will your job tracker offer to help candidates bypass filters and get noticed?
  3. How will you address user concerns about data privacy and ensure that your product doesn't exploit user data for profit?

  • Confidence: High
    • Number of similar products: 15
  • Engagement: Low
    • Average number of comments: 2
  • Net use signal: -11.7%
    • Positive use signal: 7.1%
    • Negative use signal: 18.8%
  • Net buy signal: -11.2%
    • Positive buy signal: 0.0%
    • Negative buy signal: 11.2%

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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