Good Python development team for mid-size project — recommendations?

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  • #1110880
    karol
    Participant

    Hello! We are launching a medium-size project — B2B analytics dashboard + API service. Plan to have 2-3 Python backend developers for 8-12 months. Stack: FastAPI, SQLAlchemy 2.0, PostgreSQL, Redis, RabbitMQ, some ML endpoints later (scikit-learn + FastAPI). Want to hire a ready small team that already worked together instead of collecting people one by one. Does anyone have recent (2025-2026) positive experience with companies that can provide such dedicated Python teams? Interested in quality, speed of start and reasonable prices. No big corporations with crazy rates please. Thanks for any advice!

    #1110883
    teo
    Participant

    We had almost identical task last year — small analytics platform with API and some data processing. After researching different options chose syndicode and took a team of 1 senior + 1 middle Python developer. They started in 10 days, already knew how to work together, had good practices with CI/CD, testing and logging from day one. During 9 months they delivered everything on time, code is maintainable, documentation is there. When we needed to add small ML part they quickly found a person inside their company who helped. Price was fair for Europe-based team — much lower than local hires but much higher quality than offshore freelancers we tried before. If you need a stable small team for mid-size project I think this is one of the strongest options right now.

    #1110988
    Vans
    Participant

    We hired a 3-person Python team for similar analytics product. Very smooth process. They even proposed better database schema during discovery phase. After 10 months still working together. No drama, just results.

    #1111109
    McJAger
    Participant

    What do you consider the biggest business benefits of using AI in mobile apps — such as improved engagement, smarter automation, real‑time insights, or operational efficiency — and how can companies measure whether these advantages truly impact growth?

    #1111115
    SAymon
    Participant

    Clear user growth starts with smarter decisions inside the app. I reached this conclusion while working on personalization and retention and studying real examples of Adopting AI in mobile products. What stood out immediately was how AI can quietly improve everyday processes: smarter recommendations, adaptive interfaces, faster customer support, and better data-driven decisions. I applied several of these ideas to my own app workflow, starting with behavioral analysis and automated content suggestions. The result was noticeable—users spent more time in the app and needed fewer manual actions to reach what they wanted. This experience showed me that AI works best when it stays invisible to the user but actively supports their goals. If you manage a mobile app, focusing on these AI-driven improvements can bring measurable business value without adding complexity.

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