Wonder
Wonder helps you remember the things you easily forget.
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Wonder - Remember the things you easily forget

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So simple, yet so useful. Amazing work!
Maker
Thank you Dylan :) Glad you like it.
Very nice one and impressed with the AI. It would be better if you have a fb messenger bot. And can you give the entire tech stack used to built the bot.
Maker
Glad you liked it! Wonder is built on Ruby on Rails, uses Twilio for text messaging, Wit.ai for natural language processing, and a handful of other algorithms like Jaro-Winkler distance and overlap coefficient to determine string similarity to find the best key-value match.
, why Wit.ai and not Dialogflow?
Beautiful simple amazing
Maker
Thank you :)
Just tried this out in London, works beautifully! Great job guys :)
Maker
Glad to hear that! thank you :)
Absolutely love the simplicity of this product. As soon as this gets cheaper to use in the UK i'll be using it as I'm dreadful at remembering little details
Maker
Thank you! Glad you like it. Coming soon to messenger, Slack and Web :)
What's the encryption like on this thing? Safe enough to store passwords?
Maker
We're rolling out a solution for passwords and more private things soon, for now I don't recommend storing anything like that.
This is awesome! Looking to see how complex some of these queries and submissions can get. Love the simplicity.
Maker
Thanks Michael!
This is a really cool idea (and I don't say that much). I can actually envision a big future for this company where the algo sits behind all of the apps we interact with on a daily basis (SaaS) to provide its value proposition from anywhere, any device. With that said, please work to integrate it into existing platforms of communication so that it records the things you want to recall unconsciously. Good luck, Wonder!
Maker
Thanks John! I can't say we haven't thought about this :)
How did you implemented it, building a bot that could use this kind of implementation :)
Maker
It's simply parsing natural language using Wit.ai and storing the key-value pairs on the backend, then using some algorithms to query and return the matching result.
Just shared this with all my family and friends! This is a great idea and better implementation to an age old problem. Bravo!
Maker
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