A

A quizbot powered by Twilio

Hacker News

A quizbot powered by Twilio

Hi everyone, I am a new to OSS development and wanted to create something that we could use at work. The idea was to make a framework that could be easily reused by someone with some ruby/Sinatra development experience. I have included documentation in the github repository that will take you through everything from signing up for a texting number to populating the quizzes. Scenario--- Imagine you are in your doctor's office and you see a poster that says: "Text FLU to 213-263-5445 to test your knowledge about the flu." (this is a working example) It also will work as a lead generator for those interested in marketing. Let me know what you think. Feel free to reach out to me at: http://robotscissors.com/contact/ Christopher

Visit product View on Hacker NewsMay 3, 2018

Actual performance

1points

1comments

Did not reach leaderboard

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Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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