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Hellomatik
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Hellomatik is an AI agent platform that puts a whole company's knowledge to work. You build department-specific agents grounded in your real systems and documents that answer customers 24/7, assist and close sales, and run operational workflows across your channels, always with a human in the loop for control. It ships as one company license with unlimited users and pay-for-real-use pricing, so cost doesn't scale with headcount. Teams use it for customer support, assisted selling, management reporting, staff training, quote generation and invoice collection, connecting the tools they already use: WhatsApp, Gmail, Google Drive, Shopify, WooCommerce, Meta Ads, Stripe and SQL databases. A startup from Spain, available in English and Spanish.
Python
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Hellomatik's answer:
Hellomatik transforms businesses into self-operating systems. Unlike traditional automation tools that connect apps, Hellomatik builds agentic workflows โ AI agents that understand context, make decisions, and execute actions across channels (voice, chat, email, WhatsApp). It doesnโt just respond; it acts. Each module (Voice, Chat, Support, Procedures) runs on a shared โCerebroโ that learns from real data and procedures, turning company knowledge into operational intelligence.
Hellomatik's answer:
Because Hellomatik replaces fragmentation with coherence. Where others offer bots or isolated automations, Hellomatik acts as a single operating layer for the entire company โ centralizing knowledge, workflows, and actions under one interface. It executes real work: answering calls, booking appointments, running campaigns, resolving issues, and documenting every step. The result is measurable autonomy, not just convenience.
Hellomatik's answer:
Mid-to-large organizations that want to scale operations without adding human overhead โ especially in industries like healthcare, retail, logistics, and manufacturing. Teams that already use CRMs, ERPs, or scheduling systems but want them to think and act together through AI-driven workflows.
Hellomatik's answer:
Hellomatik was born from frustration โ the founder realized his company only functioned when he was there. Every email, call, and report depended on him. The question became: what if a business could run itself? That idea evolved into Hellomatik: a system that gives companies memory, reasoning, and action โ so they mature, learn, and operate without constant supervision. Itโs not just automation; itโs operational intelligence.
Hellomatik's answer:
Python, Node.js, React, PostgreSQL, Docker, Vapi.ai (for voice), ElevenLabs (speech synthesis), OpenAI APIs (LLM reasoning and retrieval), and custom RAG infrastructure for enterprise knowledge. All orchestrated under a modular architecture with Spaces, Memory, and Workflows.
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Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 7 months ago
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