No-Code Agentist

Claude Code is amazing. But doing fullfilment from Slack feels different. Claude Code can build almost anything. But when we started using Hermes for our outbound fulfillment, something clicked. Now our team can: → Build lead lists → Verify contacts → Research prospects → Write personalized copy → Manage campaigns → Handle client-specific workflows All from Slack. And the interesting part is that we're doing this for multiple clients from a single channel. No jumping between tools. No opening different dashboards for every small task. Just give Hermes the instruction, and the agent handles the execution. For us, this has completely changed how we think about fulfillment. The tools are impressive. But the real leverage comes when you bring them into the place where your team already works. Claude Code helps us build the system. Hermes helps us operate it. Are you using Hermes?

🚀🤖 Runable Raises $21M to Build an AI Agent That Doesn't Just Create a Business — It Tries to Grow It AI Signal Priority: 🔴 HIGH Source: TechCrunch Date: August 26, 2026 Category: AI Agents · Startups · Autonomous Business · Marketing Automation Funding: $21 Million Series A Reported Users: ~1.7 Million The first wave of AI agents helped people: write code build websites generate presentations and create applications. Indian startup: Runable is betting that the next stage is: AI that produces business outcomes. The Bengaluru-based company has raised: $21 million in Series A funding. The round was co-led by: Susquehanna Venture Capital and: Nexus Venture Partners with participation from: Together Fund and Array VC. The investment values Runable at approximately: $65 million post-money. --- ### 🤖 What does the agent actually do? Runable already allows users to generate: websites applications presentations and other digital content using natural-language prompts. But the company is expanding into what it calls: the “grow” side of business. Its ambition is for an entrepreneur to eventually say something like: “Get me 100 customers.” And let the agent coordinate the necessary workflow. That could involve: build website ↓ deploy infrastructure ↓ configure analytics ↓ create marketing campaign ↓ run advertising ↓ manage social media ↓ perform SEO ↓ optimize visibility inside AI chatbots ↓ measure results. Instead of giving the user: a piece of software, Runable wants to deliver: an outcome. --- ### 📈 Rapid early growth Runable says it currently has approximately: 1.7 million registered users. Its largest markets include: United States United Kingdom and Japan. The company says that after launching paid plans in March, it reached: $2 million annualized revenue run rate within approximately: three weeks. Important context: the company declined to disclose its current actual revenue or number of paying customers. --- ### 🧮 More than 1 trillion tokens Runable says users consumed more than: 1 trillion AI tokens during the previous: 90 days. Approximately: 60–70% of that consumption reportedly came from paying customers. But there is a major economic challenge. Runable currently has: negative gross margins. Why? Because it subsidizes some AI usage. That highlights one of the biggest problems facing agent startups: An agent performing long workflows may consume: enormous amounts of inference. The more autonomous the workflow becomes: the more tokens tool calls browser activity API interactions and computation it may require. --- ### 💰 The AI-agent economics problem Suppose a user pays: $50/month. But their agent consumes: $80/month of model inference and infrastructure. More users would actually mean: more losses. Runable believes falling inference costs can improve this equation. Its CEO says the company sees a potential path toward delivering similar inference quality at roughly: 10× lower cost. Whether that happens fast enough will be critical. --- ### 🧩 The competition is enormous Runable operates in a market containing: OpenAI Anthropic Cursor Replit Lovable Manus Genspark and many other general-purpose and coding agents. Runable argues it is not trying to beat products such as: Codex or: Claude Code at pure software development. Instead, it wants to target: nontechnical small-business owners. Someone who does not want to understand: deployment hosting analytics ad platforms SEO or API integrations. They simply want: the result. --- ### 🧪 TechCrunch tested it TechCrunch asked Runable to: build and deploy a website for a fictional coffee subscription company then: generate an advertising campaign to attract its first: 100 visitors using a: $25 budget. Runable successfully built the website and prepared the campaign. But it stopped before running the ads because an advertising account still needed to be connected. That illustrates an important limitation of current agents: They may automate: most of a workflow without yet controlling: every external dependency. --- ### 🧠 The bigger AI trend The AI industry is moving through several stages. First: AI answers questions. Then: AI creates things. Now: AI performs workflows. The next competitive frontier may become: AI delivering measurable outcomes. Not: “Here is the website I generated.” But: “Here are the customers I acquired.” That transition is potentially enormous. Because when AI moves from: content generation to: economic execution, the product is no longer simply: an assistant. It begins to look like: an autonomous digital worker. The important question becomes: How much responsibility should we actually give it? 🔗 Source: TechCrunch — “Runable hits $21M to bet AI agents can go from building businesses to growing them” #AI #AIAgents #Startups #Automation #ArtificialIntelligence #FutureOfWork #MarketingAI #EnterpriseAI