Chatterrapp (YC SUS17) beta – Talk to people having similar interests

Hacker News

I am Amit, Co-Founder of Chatterrapp ( https://chatterrapp.com ). We are building a platform to let users have video chat with others sharing similar interests. Currently we are accepting sign ups for our Beta product. We tried many of existing platforms similar to ours and came across some major flaws like: - annoying chatbots posing as real users - obscene/offensive behaviour - irrelevant matches - no regard for user’s preferences/interests - non-persistent user profiles So we went ahead and surveyed as well as interviewed hundreds of potential users and found a common theme - users went to these platforms with some specific goals and expectations in mind and the majority (70%) said that they would want to talk to people outside their circle who share similar interests; but, no existing platform solves this problem. People preferred talking about a topic with strangers because their friend/family circle don’t share similar interests (80%) or they were uncomfortable discussing that topic with their friend/family circle (67%). In the survey, we also asked people to share their interests that they would like to talk about and some of the most popular ones were Sports, Game of Thrones, Music, Bitcoin, Politics, Startups, Diversity in Tech, etc. So, I humbly request you all to sign up for our beta (it is crappy, I know) and share your interests so that we can start matching you with others sharing similar interests and let you talk your heart out. Promising you some really fun, exciting and serendipitous encounters. Happy to answer and questions and looking forward to the feedbacks!

Visit product View on Hacker NewsSep 20, 2017

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

70%70% 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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video, users · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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

11%11% 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.

Incorrect prediction on native model

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