Boonited – an interest based social network

Hacker News

Boonited offers a completely new way to connect with friends and with the communities you like. Instead of traditional posts, you will send queries and will vote on queries sent by others. Pick any subject you have in mind and send a query to your friends and to communities that may be interested in it. Follow hashtags to vote on queries about subjects you are interested in and automatically share those votes with your friends. On Boonited, you can keep your queries private or make it public by adding one or more hashtags to it. Public queries can be seen by the selected hashtag followers and their friends, while private queries will be seen exclusively by your friends. You have control over who your followers are since only you can invite them to follow you, not the other way around. This means you won’t get undesirable follow or connection requests here. Phew!!! Boonited is a place for close friends only. Add up to five options on your queries, using text or pictures, and discover which one your friends and hashtag followers would pick. Invite friends via SMS, email or some chat apps, like Telegram or Whatsapp. Get ready for a more interactive and meaningful social network. Have fun with our Betha MVP and please let us know your comments on it. Apple store: https://apps.apple.com/us/app/boonited/id1457339074 Google Play store: https://play.google.com/store/apps/details?id=com.sevenboonited&hl=en_US

Visit product View on Hacker NewsOct 2, 2019

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

79%79% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

47%47% predicted probability of success on AppSumo, 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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