Who creates the data that powers Trounceflow and the insight that follows? Who uses the data for their own analysis, and Trounceflow's insight to support their own work? Who enables Trounceflow to happen, to build, to grow and to continuously improve? Some of these people are our people, and you can see who they are here. But others are not here; our clients, our investors, our supporters. We are grateful to everyone who enables Trounceflow to deliver a service that can be used to advance the frontier of understanding of investor behaviour for private and the public good.
Trounceflow is a code factory; great ideas enter, and great code leaves soon after. Ideas turn into designed products, which are developed, tested and deployed by our largest team - our developers - and then maintained by our data team. Whilst the majority of this process is carried out by our people, we find that many of our best products are the result of the ideas of our clients or our network.
Saint Petersburg, Russia
Software QA specialist
Jr. Full-Stack Developer
Leader, Data Team
New Valley Governorate, Egypt
Oyediran Olamide Peter
Benin City, Nigeria
We use what we build; our analysis team takes our data and converts it into insight. Clients use our data and our insight to help get an edge understanding and monetising investor behaviour in emerging markets for private or the public good.
Leader, AI Labs Team
Leonardo Quero Virla
Sao Paulo, Brazil
Trounceflow is a bootstrapped startup; when our product was first validated we took that revenue and the seed financing that followed, and we ramped up the quantity and quality of our code factory, and we have kept on an explosive growth trajectory as further clients subscribed and successive financing was taken. We are grateful to our clients for their revenue, our investors for their financing, and our team members who have special responsibility for client experience.
Mike works directly with our emerging-market focused customers to give them an edge.
Diana (Gheorghiu) Popescu
Operations & Operational Research