STX Next vs Howdy.com: full comparison for 2026
Quick verdict
STX Next (3.9/5) edges ahead of Howdy.com (3.9/5) overall. STX Next is the better choice for python codebases adding LLM and data engineers. Howdy.com is the stronger option for U.S. startups hiring full-time Latin American AI engineers. 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 | 250–500 | Not disclosed |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | Python specialization applied to data and AI delivery | Full-time, single-client placements with employment handled by Howdy |
| Pricing model | Time and materials; dedicated teams; rates on request | Monthly all-in fee per engineer quoted per engagement; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Django, FastAPI | Python, OpenAI, LangChain |
| Industries served | Financial services, Software & SaaS, Media, Healthcare & life sciences | Software & SaaS, Financial services, Healthcare & life sciences |
STX Next vs Howdy.com: overview
STX Next
STX Next was founded in Poznań in March 2005 and built its reputation as one of Europe's largest Python software houses. Its 2025 anniversary release cites about 500 staff and more than 1,000 delivered projects, with delivery centers in Poland and Mexico. The firm now presents itself as a data and AI consultancy, and Python's dominance in ML makes its bench a natural fit for model and data work.
Howdy.com
Howdy.com was founded in Austin, Texas, in 2018 to connect Latin American engineers with U.S. companies, and it acquired the Brazilian talent marketplace GeekHunter to expand its pool. Engineers work full time for one client while Howdy handles employment, benefits and equipment. The company now markets itself around AI-capable engineers, and pricing is quoted per engagement rather than published.
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 | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | ✓ | N/A |
| 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 published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
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 | Financial services, Software & SaaS, Media | Software & SaaS, Financial services, Healthcare & life sciences |
| Best use cases | Adding LLM features to a Django product, Building data jobs in Python for analytics | Hiring one full-time LLM application developer for a startup, Building a small Latin American team on U.S. hours |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
STX Next vs Howdy.com: pros and cons
| STX Next | |
|---|---|
| + | Python depth fits most AI codebases |
| + | Delivery from both Poland and Mexico |
| + | Long history of extending client teams |
| - | AI positioning is recent compared with its Python history |
| - | Polish rates are above Ukrainian and Latin American options |
| - | Fewer specialist roles such as computer vision |
| Howdy.com | |
|---|---|
| + | Engineers work for one client full time |
| + | Howdy covers benefits, equipment and local employment |
| + | GeekHunter acquisition widened access to Brazilian talent |
| - | Company headcount is not disclosed |
| - | No published rates despite transparent-pricing marketing |
| - | AI focus is a recent repositioning |
Who should choose STX Next?
A typical fit: adding LLM features to a Django product.
Python specialization applied to data and AI delivery. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Software & SaaS, Media, Healthcare & life sciences.
Who should choose Howdy.com?
A typical fit: hiring one full-time LLM application developer for a startup.
Full-time, single-client placements with employment handled by Howdy. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences.
Decision matrix: STX Next vs Howdy.com
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; STX Next rates higher overall |
| You want the supplier to own delivery as well as staffing | STX Next |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: STX Next (Not published) vs Howdy.com (Not published) |
| You need overlap with U.S. working hours | Howdy.com |
| You need specialist depth in a specific vertical | STX Next |
Use case fit: STX Next vs Howdy.com
| Use case | STX Next fit | Howdy.com fit | Winner |
|---|---|---|---|
| Adding LLM features to a Django product | Strong | Limited | STX Next |
| Building data jobs in Python for analytics | Strong | Strong | Both equally |
| Hiring one full-time LLM application developer for a startup | Limited | Strong | Howdy.com |
| Building a small Latin American team on U.S. hours | Strong | Strong | Both equally |
Verdict: STX Next vs Howdy.com
STX Next (3.9/5) is the stronger overall choice for most AI Staff Augmentation projects. Python specialization applied to data and AI delivery.
Howdy.com (3.9/5) is worth a look if you need building a small Latin American team on U.S. hours. 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 (3.9/5) scores higher overall, but "better" depends on your use case. STX Next's strongest advantage: python depth fits most AI codebases. Howdy.com's strongest advantage: engineers work for one client full time.
How do STX Next and Howdy.com differ in pricing?
STX Next uses time and materials; dedicated teams; rates on request pricing. Howdy.com uses monthly all-in fee per engineer quoted per engagement; rates on request pricing. 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 company before shortlisting.
What are the main differences between STX Next and Howdy.com?
STX Next's primary differentiator is: python specialization applied to data and AI delivery. Howdy.com's primary differentiator is: Full-time, single-client placements with employment handled by Howdy. They also differ in team size (250–500 vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Software & SaaS vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.