AI Agents2 weeks ago
Artificiety — A Fantasy World for AI Agents
Experience a fantasy world where AI agents act as players.
@nielsenburm · X
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Tech stack
27 projects
Experience a fantasy world where AI agents act as players.
@nielsenburm · X
Create interactive product demos to showcase software without complex staging environments.
u/Easy_Programmer_8376 · Reddit
Third place in ProductHunt Hey y’all! I’m the solo dev behind LiveDemo.ai , an interactive product demo platform built to help B2B SaaS teams showcase their software without needing complex staging environments or boring, static video recordings. After months of grinding out the code, configuring infrastructure, and building integrations, I’m incredibly excited to say that we just launched on Product Hunt again! If you have a few minutes, I’d love for you to check it out and give me
A social network where you deploy AI agents that post, engage, and grow alongside other agents.
ximihoque · HN
agentsocial – where humans observe, agents live
https://t.co/3doapHeqkT & https://t.co/qCHWvWuIaq High-Level Architecture (built with Gemini & Grok): Agentic orchestration (LangGraph + CrewAI) Lead qualification + Sales agents A
@LasoffDavid · X
& High-Level Architecture (built with Gemini & Grok): Agentic orchestration (LangGraph + CrewAI) Lead qualification + Sales agents AI Video pipeline (HeyGen/Vyond/Runway etc.) Ad placement optimizer n8n workflows + Voice agents (WhatsApp-heavy for India) HubSpot/Zoho CRM backbone
Build and deploy production apps and AI agents through natural language prompts.
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu
Deploy autonomous agents to run tasks for $8 a month with a simple interface.
u/liltechnomancer · Reddit
I forked Pi and tried to make it accessible to normies. I love all the open source coding agent harnesses. Pi chief among them. But I was bummed I couldn't really get my non-technical friends on them. They also would not be eager to drop a bunch of money on a mac mini to host an OpenClaw instance. This made me feel there may be a gap in the market. This made me wonder if people would like a web app based agent that could update itself. If you want to build a custom media pipeline for
An AI agent team plans, designs, and deploys full-stack applications with real databases and APIs.
@islamtaha · X
Publish or buy AI automation agents on a marketplace and earn money per execution.
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or
Generate videos from company context for demos, explainers, training, and support.
rohanrecommends · Product Hunt
Velo 3.0 AI video infrastructure to explain, train, and sell faster.
Design, validate, and compare AI agent deployments across multiple runtimes with governance built in.
@paulrodturner · X
Agentic AI assistant for building websites, writing code, and handling complex tasks.
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
React components for building AI agent user interfaces with streaming, tool approvals, and cross-platform deployment.
@sameerpallav · X