Let your work speak. Techfolio surfaces how developers think, build, and solve real problems - not just credentials. A hiring system designed to reveal internal logic and decision quality.
Features
Immersive Project Showcase – context, decisions, and trade-offs
System Design Interview w/ AI Report – one realistic design challenge with a detailed breakdown (share on profile only if you want)
System Challenges – short, targeted coding/architecture problems, with screen share + audio commentary
Skill & Tech Stack Mapping – link tools you know
Advanced Analytics - Who has viewed your profile, what projects and challenges did they view?
Use Cases
- Showcase Real Work – Candidates present projects, design decisions, and trade-offs in context, offering employers a deeper view than a résumé alone.
- Demonstrate Problem-Solving – System design interviews and challenges reveal technical thinking, approach, and adaptability.
- Map Skills to Roles – Skills and tools are linked across all showcased work, making it easy to match talent to the precise requirements of a job.
- Gain Actionable Insights – Advanced analytics highlight which profiles, projects, and challenges are drawing employer interest.
- Control What You Share – A privacy-first model ensures candidates decide exactly what is visible, keeping the process transparent.
Sponsors
BuyComments
For developers, you set up your profile once and it becomes a living portfolio you can quick-apply with anywhere. For employers, the matching algorithm goes beyond static keywords. They define their ideal candidate in the job modal, choosing relevant challenges, skills, and system design categories, with priority weights built into the match. Once they have a list of candidates, they can filter by scores or completed challenges. No matter how optimized an ai system is, at the end of the day with the current process, its still matching by static text or keywords on a resume.
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Comments
For developers, you set up your profile once and it becomes a living portfolio you can quick-apply with anywhere. For employers, the matching algorithm goes beyond static keywords. They define their ideal candidate in the job modal, choosing relevant challenges, skills, and system design categories, with priority weights built into the match. Once they have a list of candidates, they can filter by scores or completed challenges. No matter how optimized an ai system is, at the end of the day with the current process, its still matching by static text or keywords on a resume.
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