Add Chat to Anything

Hacker News

Hey everyone, I've been working on small side projects (like most of you?!?) since last summer and came across a thought: A. In US people use iMessage and Messenger, in Europe people use WA, Telegram, Signal etc. B. Most chat apps require installs and accounts to use So, I challenged myself to build a mini app that lets you create chat rooms in seconds without installs or signups. This could be for occasions like events, workshops and other gatherings that happen only once with a group of people that come from different countries, or if anonymity is preferred. Some tid bits: - Website: https://www.babbble.chat/ - Chats are created with UUIDs, easy to share as a link or QR - Random names and colors are assigned to each person in room - User details are stored in local storage, browser remembers you if you come back - Works on mobile and desktop - No idea about the performance, I guess I'll find out :P This is my first project with Node.js and ChatGPT helped a ton with the backend, so thanks Open AI. Comments and feedback are greatly appreciated!

Visit product View on Hacker NewsMay 12, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% 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 · Strong signals: apps · Missing: mobile apps, ios, personal

49%49% 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

41%41% 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

17%17% 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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