Stop Wasting Hours on Developer Portfolios.
BuildForms uses AI to objectively evaluate technical skills and projects, helping you hire top developers and designers faster.
Your Technical Screening Process is Broken.
You know the drill. You spend countless hours clicking through GitHub repos, Dribbble links, and personal websites, trying to gauge real technical skill. This process is inconsistent, incredibly slow, and often, you miss exceptional candidates with non-traditional backgrounds.
What happens when you have 200 applications and no clear way to evaluate them objectively? You make subjective calls, or worse, you get burnt out and rush decisions. This isn't how you build a strong engineering or design team.
AI-Native Evaluation for Real Skills.
BuildForms is different. We built an AI-native evaluation system, not just another ATS. Our platform helps you set up a structured candidate intake that captures the data you actually need. Then, our AI objectively analyzes technical portfolios, coding projects, and design work, giving you deep insights into actual ability.
This means you get an objective ranking of candidates based on demonstrated skill, not just keywords. You cut the manual screening bottleneck by up to 70%, freeing up your team to focus on meaningful interviews, not sifting through hundreds of applications.
Beyond Tracking: Make Better Hiring Decisions.
Most hiring tools track candidates through stages. BuildForms evaluates them. We give founders control over the most critical part of hiring: understanding who can actually do the job. This isn't about automating rejection; it's about identifying top talent with precision.
You want to hire the best, fast. Our system helps you make informed, consistent hiring decisions, reducing the cost of a bad hire and accelerating your team's growth. And you do it without needing a full-time HR department.
How It Compares
| Feature | Manual Portfolio Review | Traditional ATS | BuildForms AI Evaluation |
|---|---|---|---|
| Technical Skill Assessment | Highly subjective, time-consuming | Keyword matching, basic parsing | Objective AI analysis of code/design projects |
| Time-to-Shortlist | Days to weeks | Days | Hours |
| Bias Reduction | Low (unconscious bias prevalent) | Limited, often manual overrides | High (AI focus on demonstrated skill) |
| Founder Time Saved | Minimal, high effort | Some, still manual review needed | Significant (up to 70% screening time) |