STX Next vs Howdy.com: full comparison for 2026
Quick verdict
STX Next (4.2/5) edges ahead of Howdy.com (4.1/5) overall. STX Next is the better choice for python product teams adding ML capacity. Howdy.com is the stronger option for teams that want transparent nearshore pricing. The right choice depends on your project size, budget, and required tech stack.
STX Next vs Howdy.com: head-to-head summary
| Criterion | STX Next | Howdy.com |
|---|---|---|
| Founded | 2005 | 2018 |
| HQ | Poznań, Poland | Austin, Texas, USA |
| Team size | 250–999 | 100–249 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Large Python bench with documented ML staff-augmentation work | Published 15% fee on top of the engineer's pay |
| Pricing model | Time and materials; team extension; rates on request | Engineer salary plus a flat 15% service fee (published) |
| Min. engagement | Not disclosed | 1 engineer |
| Primary tech stack | Python, Django, PyTorch | Python, AWS, Databricks |
| Industries served | Real estate tech, Healthcare, Fintech, SaaS | SaaS, Fintech, Healthcare, E-commerce |
STX Next vs Howdy.com: overview
STX Next
STX Next was founded in 2005 in Poznań, Poland, and runs delivery centers in Poland and Mexico. It describes itself as Europe's largest Python-focused engineering partner for data, AI and cloud (per company website; independently unverifiable), and Clutch places it in the 250–999 employee band. A Clutch review covers a 2023–2024 staff-augmentation engagement for a real-estate technology client involving machine learning, computer vision and recommendation systems. Other reviews describe multi-year Python team extensions.
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 by Jacqueline Samira, with Frank Licea later joining as co-founder and CTO. Unlike a pure marketplace, it recruits, employs and supports its engineers, and it runs in-country hubs it calls Howdy Houses in Latin American cities. In August 2023 it acquired the Brazilian talent marketplace GeekHunter, citing rising demand for AI and ML skills. A 2026 industry ranking lists its fee as a flat 15% of the billed rate.
Services and capabilities: STX Next vs Howdy.com
| Capability | STX Next | Howdy.com |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✗ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| AI agent development | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✓ |
Tech stack comparison: STX Next vs Howdy.com
| Framework / platform | STX Next | Howdy.com |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: STX Next vs Howdy.com
| Criterion | STX Next | Howdy.com |
|---|---|---|
| Minimum engagement | Not disclosed | 1 engineer |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: STX Next vs Howdy.com
| Dimension | STX Next | Howdy.com |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Real estate tech, Healthcare, Fintech | SaaS, Fintech, Healthcare |
| Best use cases | Adding a recommendation-systems engineer to a marketplace product, Extending a Python team with a computer-vision specialist | Hiring a full-time LatAm data engineer with clear cost visibility, Building a two-to-four person nearshore team for a U.S. startup |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
STX Next vs Howdy.com: pros and cons
| STX Next | |
|---|---|
| + | Python depth means ML and backend roles come from one bench |
| + | Documented multi-year team extensions |
| + | Mexico center adds U.S. time-zone coverage |
| - | AI is a practice within a broader Python services company |
| - | Largest-in-Europe positioning is the company's own claim |
| - | No public rates |
| Howdy.com | |
|---|---|
| + | Fee structure is published, so you can see what the engineer actually earns |
| + | Engineers are employed and supported locally, which helps retention |
| + | GeekHunter acquisition widened its Brazilian candidate pool |
| + | U.S. time zones |
| - | AI depth depends on who is available; it is a general engineering staffing company |
| - | Disclosure: acquired GeekHunter in 2023, so part of its candidate supply comes through a marketplace subsidiary |
| - | Technical screening is lighter than at AI-only companies |
Who should choose STX Next?
A typical fit: adding a recommendation-systems engineer to a marketplace product.
Large Python bench with documented ML staff-augmentation work. Minimum engagement is not publicly disclosed. Works best with clients in Real estate tech, Healthcare, Fintech, SaaS.
Who should choose Howdy.com?
A typical fit: hiring a full-time LatAm data engineer with clear cost visibility.
Published 15% fee on top of the engineer's pay. Minimum engagement starts at 1 engineer. Works best with clients in SaaS, Fintech, Healthcare, E-commerce.
Decision matrix: STX Next vs Howdy.com
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | STX Next |
| Your budget is at the lower end | Compare: STX Next (Not disclosed) vs Howdy.com (1 engineer) |
| You need specialist depth in a specific vertical | STX Next |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: STX Next vs Howdy.com
| Use case | STX Next fit | Howdy.com fit | Winner |
|---|---|---|---|
| Adding a recommendation-systems engineer to a marketplace product | Strong | Strong | Both equally |
| Extending a Python team with a computer-vision specialist | Strong | Limited | STX Next |
| Hiring a full-time LatAm data engineer with clear cost visibility | Strong | Strong | Both equally |
| Building a two-to-four person nearshore team for a U.S. startup | Limited | Strong | Howdy.com |
Verdict: STX Next vs Howdy.com
STX Next (4.2/5) is the stronger overall choice for most AI Staffing projects. Large Python bench with documented ML staff-augmentation work.
Howdy.com (4.1/5) is worth a look if you need building a two-to-four person nearshore team for a U.S. startup. If your situation matches that, Howdy.com is a competitive option.
Related comparisons
STX Next vs Howdy.com FAQ
Is STX Next better than Howdy.com?
STX Next (4.2/5) scores higher overall, but "better" depends on your use case. STX Next's strongest advantage: python depth means ML and backend roles come from one bench. Howdy.com's strongest advantage: fee structure is published, so you can see what the engineer actually earns.
How do STX Next and Howdy.com differ in pricing?
STX Next uses time and materials; team extension; rates on request pricing. Howdy.com uses engineer salary plus a flat 15% service fee (published) pricing with a minimum engagement of 1 engineer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: STX Next or Howdy.com?
STX Next is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between STX Next and Howdy.com?
STX Next's primary differentiator is: large Python bench with documented ML staff-augmentation work. Howdy.com's primary differentiator is: published 15% fee on top of the engineer's pay. They also differ in team size (250–999 vs 100–249), minimum engagement (Not disclosed vs 1 engineer), and primary industries served (Real estate tech, Healthcare vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.