DataMonkey

DataMonkey

Ready for map-tastic insights?

5.0
2 reviews

754 followers

DataMonkey makes it easy for you to visualize, combine and understand geographic data in seconds. The highlight: you can use the chat to search for and add open data via natural language if your own data doesn't show you the whole picture.
DataMonkey gallery image
DataMonkey gallery image
DataMonkey gallery image
DataMonkey gallery image
DataMonkey gallery image
DataMonkey gallery image
DataMonkey gallery image
Free Options
Launch tags:SaaSMapsData & Analytics
Launch Team / Built With
Intercom
Intercom
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What do you think? …

Irene Ternes
Hey Product Hunters, we’re excited to share our DataMonkey GeoAI platform with you! 🥳 DataMonkey is the first solution to 1️⃣ empower you to visualize and understand your location-based data - even if you’re not a geospatial engineer 2️⃣ simply add publicly available data in seconds via the chat interface, in order to see how the world impacts your data - powered by our GeoAI Why are we building this? Understanding geodata is pretty tough 🤯 especially for those who are not geoinformatics/data scientists. While some solutions address experienced GIS (geographic information system) experts, they also make it your new full time job due to their complexity. Further, most teams and companies don’t have ALL the relevant data in-house they’d need to understand the geographic dependencies. Our GeoAI solves this pain 🧘 you can now easily find additional data sets from publicly available sources and add them to your existing in-house data. Right now, we start with infrastructure information, 🗺️ but will add social and economical factors, too, as the next step. This way, it’s soooo much easier to understand the full picture, with basically no extra effort on your end. ✨ For whom are we building this? Anyone who’d like to make more out of their location-based data. Specifically: 👉 Teams who don’t have their own GIS team, or maybe not even a data team, but want to take data-driven decisions 👉 Users who are just getting started with geo data and don’t need an expensive, highly complex GIS platform for professionals 👉 Users who struggle to find all the data they need in-house We’d love it if you test our platform, share it and support us with your feedback! 💚
Irene Ternes
@wwindyfly9 Thanks so much for your positive feedback! Yes, we're working hard to make it much easier for many users out there :-)
Fabio Salvadori
💎 Pixel perfection
Love it. Consider adding cards for spotted activities and a way to filter our some of choice. Let me make you an example: I was searching for Italian restaurants in a certain location, and got no results although I know there are a couple there. I searched for restaurants in that same location and of course all restaurants came up, and according to my knowledge of the area, I could spot those two Italian restaurants. If I was able to get a card of the activity mousing over the circle spot, I would have found the Italian restaurants and with the chance to hide the others (right click -> hide ? I don't know...just to give you an ideas), I would get a more accurate picture for my needs. This would be useful even if you were able to implement those info in the background, because humans are still more intelligent than AI and manual filtering would add even more accuracy. Really really curious to see how this evolves. Great job. Supported.
Paul von Berg
@fabiosalvadori Hi Fabio, great point and totally get what you mean! The good news is: It is already implemented :) ! When you click on the Filter icon in the data column you can create a filter for cuisine and select "italian" However I definitely take away that we should do some better onboarding material, will put it on my to do:) Thanks for the feedback and describing it in detail!!
Fabio Salvadori
@paul_von_berg I missed that. Shame on me. Awesome!
Paul-Louis Valat
Congrats on the launch! Product looks super interesting, really love the demo video.
Paul von Berg
@paullouis_valat1 Thank you so much Paul for your support and kind words :)
Irene Ternes
@paullouis_valat1 Thank you so much for your support! ☺️
Paul von Berg
Hey lovely 😺 folks, Thank you so much for checking out DataMonkey! We are a small bootstrapped team and are proud to launch the first version of our app. We would love your feedback: What did you like/ what do we need to work on? What is working today🧑‍💻: 👉Ask our AI to provide complicated & nested information about the world and receive it as dataset. E.g. "water in parks in San Francisco", "ice cream near streetcar lines in Berlin", ... be creative! 👉Upload your own geo datasets (csv, geojson) and combine it with our GeoAI data. Optimized for desktop use (sorry mobile users - for now) Soon™️: Let us know what feature you would like next in the poll or comments! If you have any additional requests, features, supported file types, ... - please let us know! We would love to have your support to ensure we are working on a product you love!😍
Ilya Golubev
Congratulation of the launch! Design looks very neat and clear, love it. I wish I would have this tool a couple of months ago when I was working with POIs for my guide. I'm definitely gonna definitely try to use the tool for finding new spots and cleaning them! I can imagine this tool being very useful for data analysts, marketing agencies, retail, construction, city planning and any other business working with geo data. Based on my short experience with public. geo data, it's quite messy, the tags are all over the place and not consistent across different locations. It's great to now have a tool that makes it much easier!
Irene Ternes
@ilyagolubev_1 Thanks so much for your support, Ilya & for sharing your own experience!
Yanlin Wu
Congrats on the launch! It's refreshing to visualize data in the form of a map! And your video resonates with the logo lol, so much fun! All the best to you guys!
Simon🍋
Interesting launch, congrats! Curious how you're handling data quality and accuracy when combining public data with user-uploaded datasets? Ensuring reliable results seems crucial for making good decisions.
Paul von Berg
@simonas_kauzonas super important question as reliability is key and very difficult to achieve when individuals can label data. We are training our AI to use multiple tags which are related to the queried object to ensure a complete picture. Just one of my favorite examples is that bridges are typically labeled as "bridge =yes" or as "man_made=bridge", however have the same meaning. This training is for sure not complete yet, however we see already mature usage of labels and combinations. We are also providing the query (when clicking thumbs down) to enable everyone to verify the queries and provide the datasource so it can be cross checked. We are also allowing to change queries, which allows already to start with the skeleton of the query and so makes it easier. Again: Great question and thanks for your support!
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