"Hū" is an app for entrepeneurs which helps them visualize the potential interest of their product or idea (to understand Who may be interested, or even narrow down Who their target market is).
When an entrepeneur has an idea, their friends and family may be supportive and encouraging of an idea which will be a waste of time and money. It can be difficult for the average American to access basic market insight to determine whether an idea could have financial success. Part of the process in securing funding from an investor is the ability to present data that shows your idea has an active target group and a potential for success.
Hū adresses these by providing free, data-based insight as well as saved documents for personal reference or for meeting with an advisor or investor. This app will pull together API data or other machine-searchable data into easy-to-understand charts in order to give the user an understanding of the popularity of their idea when compared to other data. The user will be able to save the data as a PDF or BLOB in order to access data/graphs from a specific search at a later time.
This app targets non technical entrepeneurs. It could also be used to generate graphs on relative popularity of search terms.
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Which APIs will you use? I want to use Twitter, Google, I'd love to use Amazon as well, but am having trouble finding access to ther search term data (I've found item searches, but that's not what I need).
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Which OAuth integration are you planning to use? I may do multiple. Google, possibly Facebook or Amazon.
I have several ideas about how to proceed with this in various stages so that I always have a working product to demo, but can add features if I have time.
- MVP is an app that uses D3 or other JS to create graphs of search term occurrances, based on data from API calls, and saves the page html in a databse to re-serve later (stored as HTML or as a BLOB). Graphs will be rendered based on occurrences of search terms in the last 365 days with the popularity of search terms and presented alongside the top search terms from that endpoint.
- If the search terms are "onesies", "dragons", etc., and 'Basketball' is the most popular word on Twitter for the last 365 days, it will be named and listed in the bar graph along with "onesies", "dragons", etc., for reference of how active the keywords are. (500 hits may seem like a lot in 1 year, but across the whole of the US, that performance isn't great)
- The app can use other information returned from API requests such as location, gender, age, or even co-occuring/additional search terms.
- All additional insights should be combined for a Hu indicator score. (I'll create and weight data against other data)
- Additional API calls for 30day and 6month periods may be rendered into additional graphs.
- Additional data might be pulled from Census data, Pew Research, or other US Commerce data for cohort or industry insight. (Millennials might be your target market, but how many millennials have disposable income to buy your product? Onesies may be popular, but the overall market may have a low performance.)
- Cohort data (age, gender, etc) may be used to suggest cohorts to target.
- Locations may be turned into cluster point maps across the US to help users target regions or identify regions to target.
- Secondary search terms may be suggested or even re-used in API-calls to find additional insight.
- Suggested search terms might be presented as checkboxes so that users can choose which terms seem to fit their product best.