Me

MenuBingoBot, here to help you order food in foreign lands

Hacker News

MenuBingoBot, here to help you order food in foreign lands

Check out one of my very first Telegram bots, the MenuBingoBot https://t.me/menubingobot : after collecting some information about your food preferences, it will create a meal request in Chinese, Korean or Japanese that you can show your waiter to get some food and - hopefully - be pleasantly surprised! You can bookmark or save the meal request to use it offline. The bot is written in Elixir and running on an Odroid-C2, be kind to it ;)

Visit product View on Hacker NewsNov 26, 2018

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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66%66% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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