StrangerMeet – A Modern Omegle Alternative for Text and Video Chat

Hacker News

Hey HN, I’ve been building StrangerMeet , a lightweight text and video chat platform inspired by Omegle but rebuilt with a modern stack. Omegle shut down last year, leaving a lot of people looking for real-time anonymous chat options. StrangerMeet tries to fill that gap with a cleaner design and some improvements: Video + Text Chat – One-click random connections Continue Chat – Option to reconnect with someone if both users agree Group Rooms – Public or private rooms for shared conversations Temporary Media & Voice – Share images, voice notes, or short videos that auto-expire Mobile-Friendly UI – Fullscreen, app-like experience on phones The backend is Node.js with WebSockets + Redis for matchmaking, and the frontend is React + Tailwind. I’ve tried to keep it fast, simple, and privacy-conscious. I’d love your feedback on: Scalability of the architecture Ideas for keeping moderation effective but lightweight Features you think an Omegle-style platform should (or shouldn’t) have in 2025 It’s live here: https://stranger-meet.com Thanks!

Visit product View on Hacker NewsAug 20, 2025

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

91%91% 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.

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

78%78% predicted probability of success on Product Hunt, 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

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.

AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, users · Missing: plus, intuitive, reviews

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

49%49% 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

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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