Create ATS-optimized resumes, analyze your skills, and match with perfect job opportunities. Extract CVs with AI, share filtered profiles, and let your resume stand out.
I built SkillScore after seeing the same frustration over and over again in hiring:
Freelancers spend hours polishing CVs and LinkedIn profiles, only to get rejected — not because they lack skills, but because their resumes aren’t ATS-friendly or their experience is hard to compare.
Recruiters waste endless time maintaining messy skill matrices, trying to match candidates with inconsistent data (“JS” vs. “JavaScript” vs. “Typescript”), and risk overlooking great talent.
Companies lose visibility into their own people — hidden skills go unnoticed, knowledge disappears when employees leave, and building project teams becomes a slow, manual process.
SkillScore exists to fix this.
Instead of unstructured PDFs and guesswork, we use AI to extract skills, projects, and experience into structured data. From there, everything gets easier:
Freelancers get AI-powered skill analysis, confidence levels, and one-click CV variants.
Recruiters can search a clean talent pool, compare profiles consistently, and export ATS-ready documents.
Companies uncover hidden expertise, skill gaps, and opportunities to build better teams faster.
My goal with SkillScore is simple:
Make skills measurable, visible, and comparable — so the right people and the right projects finally find each other.
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The UI looks really neat! Looks like a very user-friendly job application experience.
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Loved it @alexander_friedl The AI powered CV and skill matching tools solve real problems for both freelancers and recruiters.
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Loves that you’re unpacking resumes into real skills and suggesting team chemistry, not just keywords. That kind of depth can save recruiters hours. I’d be curious how it handles really niche roles or overlooked soft skills.
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I built SkillScore after seeing the same frustration over and over again in hiring:
Freelancers spend hours polishing CVs and LinkedIn profiles, only to get rejected — not because they lack skills, but because their resumes aren’t ATS-friendly or their experience is hard to compare.
Recruiters waste endless time maintaining messy skill matrices, trying to match candidates with inconsistent data (“JS” vs. “JavaScript” vs. “Typescript”), and risk overlooking great talent.
Companies lose visibility into their own people — hidden skills go unnoticed, knowledge disappears when employees leave, and building project teams becomes a slow, manual process.
SkillScore exists to fix this.
Instead of unstructured PDFs and guesswork, we use AI to extract skills, projects, and experience into structured data. From there, everything gets easier:
Freelancers get AI-powered skill analysis, confidence levels, and one-click CV variants.
Recruiters can search a clean talent pool, compare profiles consistently, and export ATS-ready documents.
Companies uncover hidden expertise, skill gaps, and opportunities to build better teams faster.
My goal with SkillScore is simple:
Make skills measurable, visible, and comparable — so the right people and the right projects finally find each other.
My recruitment Venture has find this tool is doing wonders with 80% score and above for ATS friendly resume. 220+ resumes out of 270 accepted by various types of hiring and working better for non tech and tech hirings domestic and abroad for all opportunities.
I built SkillScore after seeing the same frustration over and over again in hiring:
Freelancers spend hours polishing CVs and LinkedIn profiles, only to get rejected — not because they lack skills, but because their resumes aren’t ATS-friendly or their experience is hard to compare.
Recruiters waste endless time maintaining messy skill matrices, trying to match candidates with inconsistent data (“JS” vs. “JavaScript” vs. “Typescript”), and risk overlooking great talent.
Companies lose visibility into their own people — hidden skills go unnoticed, knowledge disappears when employees leave, and building project teams becomes a slow, manual process.
SkillScore exists to fix this.
Instead of unstructured PDFs and guesswork, we use AI to extract skills, projects, and experience into structured data. From there, everything gets easier:
Freelancers get AI-powered skill analysis, confidence levels, and one-click CV variants.
Recruiters can search a clean talent pool, compare profiles consistently, and export ATS-ready documents.
Companies uncover hidden expertise, skill gaps, and opportunities to build better teams faster.
My goal with SkillScore is simple:
Make skills measurable, visible, and comparable — so the right people and the right projects finally find each other.
The UI looks really neat! Looks like a very user-friendly job application experience.
Loved it @alexander_friedl The AI powered CV and skill matching tools solve real problems for both freelancers and recruiters.
Loves that you’re unpacking resumes into real skills and suggesting team chemistry, not just keywords. That kind of depth can save recruiters hours. I’d be curious how it handles really niche roles or overlooked soft skills.