I didn’t test against specific proprietary ATS systems directly (since most of them aren’t publicly accessible), so the approach I took was based on common ATS parsing guidelines and recruiter recommendations.
The tool focuses on a few practical things:
- Keyword alignment by matching important skills and terminology from the job description so the resume better reflects what the role is asking for.
- ATS friendly formatting by simple structure, standard headings (Experience, Skills, Education), and avoiding layouts that commonly break parsers like tables, graphics, or multi column designs.
- Clean text output by making sure the resume exports in a format that typical parsers can read without issues.
I also tested the output using a few public ATS resume scanners / parsers to check that the content is being extracted correctly.
So the goal isn’t to "game" ATS systems but to help people quickly tailor resumes and avoid formatting issues that often cause parsing problems.
ahmedgmurtaza•1h ago
The app gives 3 free credits initially, which you can use to tailor your resume and cover letter for a job posting. The reason for the limited free credits is that the tool runs multiple AI models, and with large resumes the processing cost can get fairly high.
Feel free to test it with a real job description and share your feedback, I’d genuinely appreciate hearing what works and what could be improved.
noemit•1h ago
ahmedgmurtaza•1h ago
I didn’t test against specific proprietary ATS systems directly (since most of them aren’t publicly accessible), so the approach I took was based on common ATS parsing guidelines and recruiter recommendations.
The tool focuses on a few practical things:
- Keyword alignment by matching important skills and terminology from the job description so the resume better reflects what the role is asking for. - ATS friendly formatting by simple structure, standard headings (Experience, Skills, Education), and avoiding layouts that commonly break parsers like tables, graphics, or multi column designs. - Clean text output by making sure the resume exports in a format that typical parsers can read without issues.
I also tested the output using a few public ATS resume scanners / parsers to check that the content is being extracted correctly.
So the goal isn’t to "game" ATS systems but to help people quickly tailor resumes and avoid formatting issues that often cause parsing problems.