
The Deterministic Document Layer for AI Agents | DocuQueue MCP
Document processing layer for AI agent integrations.
dvcoolarun · HN
Solve your document workflows with AI agents
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20 projects

Document processing layer for AI agent integrations.
dvcoolarun · HN
Solve your document workflows with AI agents

@Joi2James https://t.co/Hmft8nQe2F
@PANAGOT · X

AI agent that books demo meetings on LinkedIn by tracking buying signals and scoring leads.
@nickventuri · X
building to book high intent demos on autopilot founders just show up to meetings

Turn stories and scripts into short videos with AI-created characters and voiceovers.
StoryIntoVideo — AI 故事转视频 | 小说一键生成短剧视频

Automates LinkedIn prospecting and outreach using AI to help book sales meetings.
rohanrecommends · Product Hunt
Fuzzy AI We warm your prospects before reaching out

Marketplace to hire AI voice narrators created and monetized by content creators.
u/antiochIst · Reddit
I launched SquireWorks - a platform for creators to build and license their own AI models Today I launched SquireWorks. The idea is simple: creators should be able to build AI versions of their own work, control them, and get paid when people use them. We call those AI models Squires . We’re starting with professional voice actors. A voice actor can create a licensed AI model of a voice they actually perform. They can use it themselves for client work, make it available through their

Deploy AI agents trained on your docs to automate customer support and sales conversations.
@iietmoon · X
Need sales x3 here is conversational AI Agent

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