About Hangar
Hangar works with clients to plan, build, and ship digital products. Their core services include Web Development and Mobile App Development. Hangar employs 10 - 49 people. Clients can expect pricing around $25 - $49 / hr/hr, with projects averaging about $50,000. The team is based in Recoleta, Chile. Overall, Hangar is one of the options worth shortlisting for a technology project.
Where We Specialize
Industry Expertise
Typical Project Size
Hangar Reviews
Write a ReviewAnalytics foundation that lets us answer attribution questions we had given up asking
Priya Chandrasekaran / VP of Data & AI - Wavefront Analytics IncJan 09, 2026
Project summary: Unplanned downtime had become our single largest cost driver and our data showed that predictive maintenance could address the majority of it — if we had the right infrastructure to act on it.
Our stakeholder group included board members, clinical leads, compliance officers, and end users — each with different technical literacy and different success criteria. This team navigated that stakeholder landscape as well as any vendor I have seen. They adjusted their communication register depending on the audience without losing the substance. They managed expectations honestly throughout. And they delivered a system that each group can point to as meeting their requirements. That breadth is genuinely uncommon.
Collaborative culture that made the team feel like a genuine extension of our organisation, strong asynchronous communication across time zones, zero-drama handling of the inevitable mid-project changes
Their insistence on a detailed functional specification before development began felt like friction at the time. In retrospect, it was the reason the development phase ran without the ambiguity that has derailed similar projects for us previously
Questions & Answers
The first content management system we have deployed that editors genuinely prefer
Radosław Kowalczyk / Head of Development - Wisła Software Sp zooJan 02, 2026
Project summary: Grid modernisation funding required us to demonstrate demand-response capability. The machine learning models existed on paper; we needed an engineering partner to build and productionise them.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
Time zone coordination required some deliberate overlap management from both sides in the first couple of sprints, after which we had an efficient async rhythm that worked for the whole project