WhyHive

This is why Matt Cohen and I bet our previous business on building ‘Canva for data’. From 2018-2022, Matt and I ran a social enterprise data consultancy. I was about a year out of uni when we started and already fairly disillusioned about the state of data analytics. I’d worked in a not-for-profit and saw first-hand how, even when people were trying to use data to change the world, it was super expensive, difficult and unintuitive for most people to work with. So we got a team together and consulted for awesome corporates, and used the profits to donate over $220k worth of in-kind hours to social impact projects. ... but then we got tired. We kept hearing the same thing from businesses and NFPs alike: people wanted to analyse their own data but the software was too hard. Someone needed to build a platform as easy as Canva, but for data. And with essentially 4 years of user research under our belts, why not us? So we bet every last dollar we made consulting (alongside support from the City of Melbourne & the Telematics Trust), and pivoted. We built a prototype with the help of stats legend Mitchell O'Hara-Wild and started sharing it with users. People who told us they’d spent 3 days trying to learn Tableau to make basic graphs (to no avail) were now finding insights on their own - with no training - in about 30 seconds. We knew we were onto something and needed the right people to back us to go to the next level. And last year, these amazing people did: Tom Smalley - Skalata Alex Zaccaria Dominic Pym Jon W. Anthony Zaccaria Nick Humphreys 🌱 Judy Anderson-Firth Michael Gonski Adam Milgrom Jason Atkins Jane S. Martino Rachael Neumann Alon Abraham Damien Chung Edward Hooper Ella Nguyen Jaddan Comerford Paul Baron Xavier Shay Then we found the incredible Simon Grant and for over a year have been building with early adopters. And in the process, found the sweet spot to use LLMs for what they’re great at - text analysis. We’ve since had researchers go from ✨ weeks to minutes ✨in analysing survey responses. We've had one consultant tell us he’ll save approx $30k this year by cutting his analytics time down 80%. We’ve had non-technical teams (who previously spent hours trying to wrangle ChatGPT to give them insights that made sense) making beautiful, reliable charts. And as of today, we’re doing what we dreamed of from the start: going freemium. This means anyone can use WhyHive for free. We've also open-sourced our raise data as a demo project in the app when you sign up. We hope this will help first-time founders like us! If you're up for backing us, here's how you can help our next lofty goal - hitting our first 1000 users in the next fortnight. 👉 You can sign up (link in comments), analyse some of your data, and let us know what you think. 👉 Share this post, tell your mates. Every bit of feedback gets us one step closer to our mission: make the power of data accessible for everyone.

Today Academy Xi announced their partnership with WhyHive 🎉🥳 AXi students will now be able to easily get rich insights from their text data (from surveys, feedback, comments etc.). We can't wait to see their studies supercharged, and to hear about the awesome insights they find! If you'd like to check out the app for yourself - we have a public demo today at 12:30pm 👉 https://lu.ma/w379z4pz Can't wait to work with you Cyril Gabriel and Debby Liman 🔥 👊

Last week WhyHive was listed as a finalist in the Technology for Community Impact Award 2024. This category was for private sector businesses that have contributed to the not-for-profit sector and the broader community through the use of technology. Thank you so much Infoxchange and congratulations Calxa who took out 1st place 🌈✨. For anyone we've met recently from the research sector, something you might not know about our backstory is that we're super passionate about making data easier to use for people creating change. Our mission is to do this by making data analytics more accessible for everyone - starting with free text. We're still very early in our journey but when a user recommends that we put our hat in the ring for something as wholesome as this - how could we say no! 💙 And thank you to all the data-explorers in businesses (big and small) who are working with us - each one of you is helping to make this mission a reality.

We just onboarded our first batch of customers. I’m very keen to have some killer people in our little Slack community of early adopters 😤👌🏻 Here’s what the product looks like: