New project for on-demand chat rooms

Hacker News

I created a pet project to see if it is of use and interesting to people. The idea is on-demand real-time chat rooms for trending topics and for personal use. You can go to the main page at www.urshoutbox.com to create your own room then share it across your social networks/email, etc. I created a hacker news specific "shoutbox" at http://www.urshoutbox.com/bLmYAL/hacker-news . If nobody is in there, please be patient and (I hope) people will join soon to start talking. The idea is to have trending topics on facebook/twitter/etc and have chat rooms to get people discussing in real time. The idea came from looking at popular blogs and news sites which have comment sections where people are posting so quickly trying to have what appears to be almost real-time conversations in a limited way. This is meant to get those conversations in a more real-time appropriate environment. Think of it as irc but for today's clients. I'm surprised that there wasn't really similar options out there. Most of today's chat tools are either mobile only, require video, or limit the number of participants. If you know of competitors in this space and I'm just an idiot for not finding them, please let me know. I look forward to hearing people's thoughts.

Visit product View on Hacker NewsApr 24, 2014

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

78%78% 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: hacker news, ide, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive

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

TrustMRRLess likely to generate early MRR · Strong signals: personal, video, way · Missing: mobile apps, ios, entrepreneurs

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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, real time · 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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