nickvanw

nickvanw / PgVideoChat

Public

chat through postgres!

80
4
69% credibility
Found Feb 27, 2026 at 60 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A browser-based demo app for real-time group text chat with one-on-one voice and low-res video calling among connected users.

How It Works

1
🖥️ Open the chat app

You visit the webpage and see a simple chat room with a list of people online.

2
🔗 Join the room

The app connects you automatically, gives you a unique ID, and shows who's chatting.

3
✏️ Pick your name

Type a fun nickname and set it so others know who you are.

4
💬 Send messages

Type in the chat box and hit send to talk with everyone in the room.

5
📞 Start a call

Right-click a person's name, choose voice or video, and ring them for a private talk.

6
✅ Accept and chat

When someone calls you, tap accept to hear their voice or see their video feed.

🎉 Enjoy your conversation

You laugh, talk, and connect face-to-face or voice-to-voice, then end the call anytime.

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AI-Generated Review

What is PgVideoChat?

PgVideoChat delivers a full real-time group chat app with text messaging, voice calls, and low-res video calling, all running in the browser via TypeScript and SvelteKit. Users connect through a WebSocket relay to a Postgres database that handles everything—user lists, messages, call states, and even streaming audio/video frames—using logical replication for instant sync across clients. It scratches the itch for multiplayer browser apps without separate signaling servers or pub/sub layers, perfect for chat through Postgres demos.

Why is it gaining traction?

Unlike standard WebRTC kits needing STUN/TURN and custom backends, this leverages Postgres as the single source of truth for chat github repos, routing media frames directly via DB inserts for dead-simple scaling. Devs dig the zero-config relay: point at your DB, and it broadcasts changes, enabling chat through browser or link without Redis headaches. The hook? Proof that Postgres can power pgvideochat as good as any dedicated service.

Who should use this?

Postgres tinkerers building real-time prototypes like chat through console or multiplayer tools, SvelteKit frontend devs skipping backend boilerplate for voice/video, or solo makers shipping quick collaboration apps for remote teams.

Verdict

Worth a spin for Postgres real-time experiments—38 stars and 0.7% credibility score signal early-stage roughness with thin tests, but clean README and deployable demo make it a solid fork base over reinventing chat github copilot online flows.

(198 words)

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