
VaultMeet - Host & Join Events in a 2D Virtual World | VaultMeet
Host and join tech events and hackathons in a 2D virtual world.
@vaultmeet · X
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Tech stack
26 projects

Host and join tech events and hackathons in a 2D virtual world.
@vaultmeet · X

Browse curated startup events, tech weeks, and venue calendars across major cities.
@11bhagwat · X

Create events and collaborate with attendees seamlessly.
@lynkxapp · X

Create paid events, manage registrations, generate QR tickets, and check attendees in from any phone.
@HossainArif85 · X
Building — a platform for paid events where organizers manage registrations, approve payment proofs, send QR tickets, and check attendees with any phone browser. Happy to connect with fellow builders!

AI-powered platform for planning events, managing attendees, and analyzing event data.
@Puneet626 · X
hi, let's connect, i'm building

Create event pages, sell tickets, manage attendees, and analyze event metrics with AI agents.
@abhishekbariyaa · X

AI-powered tech stack recommender for SaaS projects tailored to your budget and team size.
@appstackbuilder · X
Less time searching. More time building. That's the goal behind App Stack Builder. 🌐 #Startup #BuildInPublic #SaaS

Generate personalized B2B outreach pages with AI, track email opens, and automate follow-ups.
@ConnectScr20857 · X
turns cold outreach into personalized conversations.

Upload contracts for instant AI-powered risk analysis or generate tech agreements.
@BayofDomain · X

Extracts tasks and deadlines from Telegram group chats and sends personal reminders.
@SagarSR349400 · X
Working on Sieve, a distributed AI system that autonomously monitors Telegram group chats, extracts tasks and deadlines using Google Gemini, and sends intelligent private reminders.

Real-time investment terminal that traces global events to their impact on sectors, stocks, and assets.
@codedolphin2 · X

Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age