The full gallery
Tech stack
23 projects
Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)
AI voice agent platform for service businesses. Answer every call, book appointments automatically, and recover missed revenue. 200ms response time, 24/7 coverage, intelligent call
@HAIEC2580635 · X
AI receptionist that answers calls in multiple languages and sends summaries.
@HiReceptionist · X
AI Receptionist for small businesses
AI voice agents for handling phone calls on an integrated stack, starting at 2 cents per minute.
kolchinski · HN
ThunderPhone v2 – a new architecture for voice AI
AI phone agent that autonomously answers and resolves incoming calls.
@akshaysolenk · X
Just launched. Building in public.
Swap contact details with a room.
@Liinki_app · X
Liinki lets you swap contacts by making a list, sharing a QR or link, and having everyone pick what they share (plus a free link in bio). For people who run or join meetups - anyone who meets people and needs the contacts to stick after the event ends.
Queue management platform where guests join without an account and businesses manage operations via phone.
@sardamit · X
2-3 years ago, i built the waitlist app for a very popular date place in Mumbai i rebuilt it today using vibe coding
An AI assistant that automates and manages business tasks.
@CallSlim_ · X
Autonomous AI agents that close deals 24/7 via calls, email, and SMS.
@shubhdholakiya_ · X
building an autonomous ai agent sales team. tired of standalone apps, so i built a multi-layered sales brain that actually executes the pipeline and closes the deals.
Tripixo helps travel creators sell paid planning calls, stay organized with Expert Assist, and send a useful post-call trip plan travelers can act on.
@singhabhinav · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
AI phone receptionist that answers your business calls 24/7, books appointments, and answers common questions about your business. Keep your existing phone number or get a new one.
@AsvdCodes · X
