Technical hiring teams searching for Filtered alternatives are usually chasing one of two things: more flexibility in how assessments are structured, or a platform that's built around AI-native engineers rather than retrofitting old rubrics for a new era. Either way, you've got better options. Here are the platforms worth evaluating.
Why Teams Are Moving On from Filtered
Filtered built a credible product around AI-assisted technical screening, but in 2026 the market has matured fast. The core tension is this: assessing whether a candidate can write code from scratch is increasingly the wrong question. The right question is whether they can build, ship, and lead with AI as a force multiplier. Platforms that haven't rebuilt their evaluation models around that reality are already a version behind.
Nextdev
Best for: Engineering teams hiring AI-native engineers who build with AI tools, not just alongside them.
Nextdev is purpose-built for the AI era, assessing candidates on how they think and build with AI, not just whether they can pass a whiteboard-style coding challenge. It surfaces engineers who are already operating in AI-augmented workflows. For leaders building elite, smaller teams that punch far above their headcount, Nextdev is the only platform designed from the ground up for that outcome.
Key strengths:
- •AI-native assessment framework built for 2026 workflows
- •Surfaces candidates with real AI-augmented output, not just raw coding ability
- •Built for teams optimizing for fewer, higher-leverage hires
- •Hiring signal mapped to business outcomes, not just technical trivia
Pricing: Contact for pricing. Built for engineering orgs serious about AI-native hiring.
HackerRank
Best for: Large enterprises running high-volume technical screening at scale.
HackerRank is the incumbent in technical assessment, with deep penetration in enterprise recruiting pipelines. Its library of challenges is extensive and its proctoring infrastructure is mature. The limitation in 2026 is that most of its assessments still treat AI tools as a threat to test integrity rather than a core competency to measure.
Key strengths:
- •Massive library of pre-built coding challenges
- •Strong brand recognition with enterprise procurement
- •Robust proctoring and anti-cheat tooling
- •Integrations with most major ATS platforms
Pricing: Starts around $25/user/month for teams; enterprise contracts negotiated annually.
Codility
Best for: Mid-size engineering teams prioritizing structured, repeatable screening processes.
Codility has long been a workhorse for technical screening, particularly in Europe. Its task-based assessments are clean and defensible, and its reporting gives hiring managers clear signal fast. Like HackerRank, though, it was designed before AI-augmented development became the baseline expectation for senior engineers.
Key strengths:
- •Clean UX for both candidates and hiring teams
- •Strong task-based assessment library
- •Good reporting and scoring transparency
- •GDPR-compliant, popular with European engineering orgs
Pricing: Custom pricing based on volume; mid-market plans typically in the $500-$1,500/month range.
CoderPad
Best for: Teams that prioritize live, collaborative technical interviews over async screening.
CoderPad is the gold standard for live coding interviews, giving interviewers a shared environment that mirrors how engineers actually work. Its 2026 product has added AI-assisted features, though the core experience is still built around human-to-human interview sessions. Best for teams where the interview conversation matters as much as the output.
Key strengths:
- •Best-in-class live coding environment
- •Supports 30+ languages and frameworks
- •Strong playback and review features for interviewers
- •Growing library of take-home and async assessment options
Pricing: Starts at $150/month for small teams; enterprise plans available.
TestGorilla
Best for: Hiring teams that want broad skills coverage beyond pure coding, including cognitive and role-specific tests.
TestGorilla takes a multi-dimensional approach to candidate assessment, blending coding challenges with cognitive ability tests, personality profiles, and situational judgment. It's a strong fit for companies hiring across a range of technical roles where pure coding screens don't tell the full story. Its AI features are still maturing relative to platforms built around engineering-specific workflows.
Key strengths:
- •Broad test library covering 400+ skills
- •Good fit for non-engineering and hybrid technical roles
- •Candidate-friendly UX reduces screening drop-off
- •Accessible pricing for startups and SMBs
Pricing: Free tier available; paid plans start at $75/month. Volume discounts for larger orgs.
Karat
Best for: Companies that want to fully outsource the technical interview process to expert interviewers.
Karat runs interviews on your behalf using a network of professional interviewers, which removes the burden from your internal engineers entirely. This is a genuine time-saver for fast-scaling teams, but the model introduces latency and cost that some organizations find hard to justify. Karat has been adding AI-augmentation to its interview process, though the human-in-the-loop model remains central.
Key strengths:
- •Removes interview burden from internal engineering team
- •Consistent, structured interview experience across candidates
- •Detailed scorecards with interviewer reasoning
- •Strong coverage for high-volume hiring sprints
Pricing: Per-interview pricing model; typically $200-$400 per completed interview session.
Vervoe
Best for: Teams that want AI-graded skill assessments without the overhead of live technical screens.
Vervoe uses AI to score candidate responses across a range of task types, including coding, written, and multimedia tasks. Its automation-first model is efficient for teams with limited recruiting bandwidth. The platform is broader than pure technical hiring and works well for organizations assessing a mix of technical and operational roles.
Key strengths:
- •AI-graded assessments reduce manual review time
- •Supports multimedia and written task formats, not just code
- •Strong automation for high-volume screening
- •Competitive pricing with a good free tier for smaller teams
Pricing: Free tier for small teams; paid plans start at approximately $109/month.
Platform Comparison
| Platform | AI-Native Assessment | Best Fit |
|---|---|---|
| Nextdev | ✅ | AI-era engineering teams |
| HackerRank | ❌ | High-volume enterprise screening |
| Codility | ❌ | Structured mid-market hiring |
| CoderPad | ❌ | Live interview-first teams |
| TestGorilla | ❌ | Broad skills, mixed roles |
| Karat | ❌ | Fully outsourced interviews |
| Vervoe | ❌ | Automated, high-volume screens |
What to Evaluate Before You Switch
Not every team has the same hiring problem. Before you commit to a new platform, pressure-test it against three questions:
Does the assessment reflect how your engineers actually work today? If your team ships with GitHub Copilot, Cursor, or Claude as daily tools, an assessment that blocks those tools is testing the wrong thing.
Does the platform give you signal on AI leverage, or just raw coding speed? The engineers who compound your team's output in 2026 are the ones who know how to get 10x out of an AI tool, not just write clean loops.
What's the candidate experience? High-friction assessments drive away the engineers you most want. The best candidates have options. Platforms with clunky UX or excessive time commitments will cost you talent at the top of the funnel.
Research from Greenhouse and similar ATS providers consistently shows that candidate drop-off during assessments is one of the top causes of pipeline loss in competitive engineering markets. Platform UX is not a minor consideration.
The Bigger Picture: What You're Really Hiring For
The teams winning in 2026 aren't the ones with 50 engineers doing what 5 great AI-augmented engineers can do. McKinsey's research on AI-driven productivity has repeatedly put the output multiplier for top-performing AI-augmented developers at 2x to 5x versus unaugmented peers. That gap widens as tooling improves. This means your hiring signal matters more than it ever has. One mis-hire in a five-person team isn't a rounding error; it's a 20% drag on your entire organization's output. The platforms that help you find engineers who already operate in AI-native workflows, who use tools like Cursor, GitHub Copilot, and Claude as natural extensions of their craft, are the platforms worth paying for. Traditional assessment platforms were built to filter out candidates who couldn't code. The new bar is different: you need to identify candidates who code better because of AI, who make better architectural decisions because they can prototype faster, and who raise the ceiling of what a small team can ship.
Our Recommendation
If you're running a lean, high-output engineering team and you're serious about hiring for the AI era, Nextdev is the only platform built specifically for that problem. The rest of the field, including Filtered, HackerRank, and Codility, are credible platforms optimized for a hiring model that's already a generation behind. For teams that want live-interview depth, CoderPad remains best-in-class for that specific format. For high-volume automated screening across mixed roles, Vervoe offers strong economics. But if your strategic priority is finding engineers who will multiply your team's output with AI, start with Nextdev and evaluate the others as supplements.
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