Tinderest understands your preferences. It uses matching algorithms and AI to automatically suggests things to do in a new destination based on the behaviour of other people with similar profiles, needs and tastes.
Sensei is an AI bot that runs natively on your phone and is able to chat to you, providing useful information based on your social media, health and financial data. For example Sensei can alert you that you are spending too much on lattes at Starbucks this month.
Capture and import your finance and banking transaction data from Icelandic banks into your digi.me app.
Check if your vaccinations are up to date, if your prescriptions are available where you are travelling and if there are any dangerous drug interactions with anything you get abroad.
A crowdfunding platform to help people pay for medical expenses. Medical conditions are verified via Icelandic Health API so you cannot crowdfund against a condition you do not have.
Social support network for people with illnesses - connects people with similar medical histories via an anonymous forum to seek and share insights, advice and thoughts. Alleviates the social isolation people often feel when they don't know anyone in the same situation.
Fin-Tin-Der is a dating app based on people’s finances and spending habits – what are the top 5 merchants you spend money with? Would you date someone who shared favourite brands like IKEA, Iceland Air, Amazon, Crunch Fitness or KFC?
Paula Gould, Frumtak Ventures discusses why it's important to own your data
Gisele Karekezi and Christina Wilson, AngelHack explain why owning your data creates empowerment and freedom
The teams tell us what inspired them to attend
Hackers discuss why it's important to own your data
How fundable is this idea? Is there potential for a sustainable business model
How well did the team execute and explain their problem? Did they demo a working solution?
Beyond design, have they thought through the end-to-end user experience for their solution?
How original, creative or unique is this idea?
How scalable is this solution? Will it make an impact?