HeartsBot, a dating chatbot for Facebook Messenger

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HeartsBot (http://m.me/heartsbot) is a new dating chat bot that I made last week, and I thought I'd share it! HeartsBot quickly helps you find & meet new people in your area. http://m.me/heartsbot This is my first chat bot, and I thought I'd give some insight in making it. My philosophy on the "chatbots revolution" has been actually towards avoiding any sort of conversational-like UI. Rather, the chat bot presents to you a menu (almost like a website might) and avoids any other conversation. Dan Grover's excellent article (http://dangrover.com/blog/2016/04/20/bots-wont-replace-apps.html) lended much inspiration towards this philosophy, and I'm convinced also that the reason chatbots had succeeded in other parts of the world was because of their simplicity & speed of access, rather than any novelty reason that the bot could "sound like a human." Therefore, the chat bot gives you a brief menu (Browse Profiles, Edit Profiles, and Matches) and clicking on each one opens a web page, to which you are automatically logged into. The interesting thing about this is ease of access. There are no app downloads, no passwords, no sign-up/registrations, no bookmarks needed, and no permission dialogs. A simple message gets a user all set up. What's more, the app has access to some basic public Facebook information about you such as name, gender, and photo so it can give you a bit more personalized treatment. Anyways, please check out the app and let me know what you think!

Visit product View on Hacker NewsJun 1, 2016

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70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, new · Missing: mac, agents, macos

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TrustMRRFits verified-revenue profile · Strong signals: personal, apps, way · Missing: mobile apps, ios, entrepreneurs

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% 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

40%40% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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