TestGorilla Reviews

1. AnnaBenjamin

   6 months ago
   Solid Skill Testing Platform — Good, but Not Perfect for Every Hiring Need

   We’ve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and it’s proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.

   The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesn’t take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.

   Where it falls a bit short is in the depth of some tests — a few feel like they’re too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up — especially if every team needs access.

   Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills — which is why I give it 4 out of 5 stars.

   👍 Pros:    Clean dashboard makes it easier for hiring teams to review re

   👎 Cons:    Custom test creation could be more intuitive

Replicate.com Reviews

TestGorilla mentions (1)

• Need advice on hiring process for dev team

  What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: over 3 years ago

Replicate.com mentions (8)

• Replicate vs deAPI: Price Comparison for AI Inference (2026)

  You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / about 1 month ago

• The AI stack every developer will depend on in 2026

  Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / about 2 months ago

• Running AI models with Replicate and Encore

  Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 7 months ago

• Effective Prompting for Generative Vision Models

  Before diving into how vision prompting works, let’s first look at where we can put it to the test. In this case, we’ll be using several endpoints available on Replicate, which we’ve optimized with Pruna to make them cheaper, faster, and more efficient. All of Pruna’s models are available here. - Source: dev.to / 8 months ago

• The Real AI Startup Stack: $33M Valuations, $1.2K OpenAI Bills

  Take Perplexity they didn’t just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 8 months ago