Every team has work that falls through the cracks: follow-ups, status reports, pipeline updates, onboarding checklists, invoice reminders. It's not complex, but it's constant. Zenflow Work connects AI agents to the tools your team already uses - Gmail, Slack, Notion, HubSpot, Google Drive, and more - so that recurring cross-team workflows run automatically, on a schedule, without anyone having to remember. In this webinar, we'll show you how to set up your first Work task, connect your integrations, and let agents handle the operational overhead across Product, Sales, Marketing, Finance, HR, and Customer Success.
Zencoder
Technology, Information and Internet
Campbell, California 4,239 followers
Your Mindful AI Coding Agent
About us
At Zencoder, we're transforming the landscape of software development by empowering developers with AI coding agents embedded into their workflow that help create high-quality software and ship products faster. Zencoder brings the zen back in coding.
- Website
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https://www.zencoder.ai
External link for Zencoder
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Campbell, California
- Type
- Privately Held
- Founded
- 2023
- Specialties
- AI Agents, AI Code Generation, Code Platform, Developer Platform, AI Coding Agent, AI Code Assistant, and SaaS
Locations
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Primary
Get directions
500 W Hamilton Ave, 112550
Campbell, California 95008, US
Employees at Zencoder
Updates
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We're heading to Google Cloud Next '26 and we're exhibiting! 🎉 If you're an engineering leader, developer, or just someone obsessed with what AI-powered coding actually looks like in production - our booth is where you need to be. We'll be demoing what Zencoder can do, talking shop on the future of AI Work, and… there's a little surprise waiting for anyone who swings by. 🎁 No spoilers. Come say hi. Let's talk code, AI, and what's next. Drop a comment or DM if you're attending, we'd love to connect ahead of the event. #GoogleNext #GoogleCloudNext #Zencoder #AIAgents #DeveloperTools #EngineeringLeaders
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Retrospectives are important. Preparing them manually should not be. Zenflow Work can automate sprint retrospective reporting by pulling data from Jira and Linear, analyzing sprint activity, and generating a dashboard with team velocity, contributor insights, and issue-level detail. The result: less reporting overhead and better team visibility. #Automation #EngineeringManagement #AI
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A lot of valuable work sits outside the codebase. Zenflow Work helps automate that too. In this demo, Zenflow is used to build a competitive product monitor for the LLM landscape - tracking the latest models, comparing performance and cost, highlighting capabilities, and surfacing market trends. It starts from a simple prompt, then runs as a weekly automation: • analyzes the model landscape • updates a dashboard automatically Less manual research. Better visibility. Continuous competitive tracking. #AI #Automation #LLM #CompetitiveIntelligence
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We've extended application deadline to april 15th, you still have a chance to apply!
Most developers use AI coding tools like autocomplete on steroids. That's leaving a LOT on the table. Zencoder is running a 3-week AI Developer Program and it might be the most practical thing you do this year. Here's the structure: 📚 Week 1 — 4 live workshops on AI-native dev workflows 🛠️ Weeks 2–3 — You build something real, with support 🏆 Demo Day on May 4 — $500 in prizes for top projects What you'll actually learn: → How to think like a director, not a typist → Running parallel agents with Blast Mode & MCPs → Custom workflows + scheduled automation → AI-assisted debugging across multi-repo codebases No fluff. No theory for theory's sake. Just skills you can use immediately. This is for: ✅ Developers curious about AI tools but not sure where to start ✅ Indie hackers building dev tools & productivity apps ✅ Professional devs who want to bring AI-native practices to their team ✅ Open source contributors Applications close April 10, 2026 — and they're rolling, so earlier = better. 👉 Apply here: https://tally.so/r/rjVVdp 👾 Join the Discord community: https://lnkd.in/gQNyFakj Don't just watch AI change software development. Be the developer who actually knows how to use it. More info here: https://lnkd.in/gfEKURqY #AI #SoftwareDevelopment #AITools #IndieHacker #OpenSource #Zencoder
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Being a team lead used to mean stepping away from coding. Now it might mean the opposite. A look at how AI is reshaping the role — and why building, automating, and shipping are becoming part of everyday leadership at Zencoder. #Zencoder #ZencoderStartupJourney #BehindTheScenes #CompanyCulture #StartupJourney #TeamCulture #StartupLife #AIStartup #AICulture
I've been a team lead for 10+ years. For me it was always about helping the team thrive — removing obstacles, providing guidance, and yes, doing less hands-on coding. A familiar pain for most engineering leads. In the pre-AI era, a team lead's leverage was limited: drive architecture, improve processes, coach engineers. You could try adding automated quality checks, but there was never enough time — and frankly, the ceiling on useful automation was low. AI has completely changed this equation. Now I can drastically boost my team's performance by crafting agent rules, building agent skills, and setting up automated AI reviews. Automation that used to take weeks — or never happened at all — now takes an hour or less. I used to spend time teaching every new engineer the same design patterns, testing best practices, and small but important conventions. Now I write it all into a shared AGENTS.md — and instead focus on coaching engineers on AI-first coding. At Zencoder, I have an additional advantage: a huge portion of what I build to help my team can be shipped directly to our customers. Every internal improvement becomes a product feature. → I review a teammate's code — and simultaneously improve our agentic skill for comprehensive review. First it helps me, then becomes automated PR review for the whole company, then ships to customers. → I fix a bug — and refine our bug-fixing workflow with each one. That workflow then goes to the team, and later to customers. Every cycle compounds. What excites me most: state-of-the-art approaches to AI coding emerge every week, and we're among the first to try them, adopt them, and turn them into a product. Working with tomorrow's technology isn't an abstraction here — it's daily practice. Ownership at Zencoder isn't a buzzword. It's using what you build, every day, with real levers to change it. If this resonates — we're growing and looking for people who want to shape the future of AI-first coding. Come check us out at https://zencoder.ai/
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Today we’re launching Zenflow Work - a proactive AI assistant that expands AI orchestration beyond code to power entire organizations. Work today is fragmented across tools, tabs, and workflows. Zenflow changes that. It becomes your command center - where you define the goal, and AI agents take it from there. Start tasks from your mobile phone and continue working on the desktop. With Zenflow Work: 🤖 Agents plan, execute, and verify work in structured workflows ⏲️ Automations run continuously until the objective is complete 🛠️ Deep integrations with your tools let agents operate directly inside your existing tools 📨 You can start and manage tasks from anywhere - Slack, Telegram, or Zenflow This isn’t just assistance. It’s a proactive AI system that moves work forward without constant input. No switching. No manual coordination. No busywork. Zenflow Work - Less tools. More done.
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Zencoder reposted this
HumanX Day 1 in the books. Had to share this one first. yes, that’s a dog park wall at an AI conference. HumanX gets it. Zencoder crew showed up strong today. Conversations were fire. The energy around agentic development and what’s actually working at team scale - not just demos, real deployment patterns. We’re at booth A4 tomorrow. Come find us. I’ve got a camera roll full of pics from today but this one 🥇 . See you at A4.
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Codebases don’t fail because they’re complex. They fail because they’re invisible. You open a repo and you’re immediately asking: Where does this start? What depends on what? What breaks if I touch this? So we built something to make that visible. With Zencoder + CopilotKit: Paste any GitHub repo → Get a live, interactive map of the codebase Not docs. Not static diagrams. A working surface. Then ask a question and the UI updates itself. No chat responses. No digging. Just movement. This is less “AI assistant” and more “interface for understanding code” Read about it here 👇
JUST RELEASED: "Google Maps" for codebases👇 Zencoder just built a codebase explorer with CopilotKit: Paste a GitHub URL, get a real dependency graph and ask it anything. How it works: - Every file is fetched live from GitHub - Dependency graphs are built from real import statements - LLM updates the UI live, no text replies, just actions - Runs completely free with Ollama Source Code: https://lnkd.in/gMes79dD Read more: https://lnkd.in/gRS7a2py Shoutout to Karuna Tata for building this 🪁
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A story from our team about how roles evolve when you actually build what you design. At Zencoder, the line between design and engineering is often thinner than expected. #Zencoder #ZencoderStartupJourney #BehindTheScenes #CompanyCulture #StartupJourney #TeamCulture #StartupLife #AIStartup #AICulture
For a long time, coding was something I only did in pet projects. I always wanted to bring it into my main work because designing something and actually delivering it to users are two very different things. Not just “here’s the mockup”, but something real that creates value. Recently, that finally changed. At Zencoder, I started writing code almost every day. Instead of handing things off, I just keep going until it’s live and in users’ hands. A big part of this is how we work. There’s no strict hierarchy, everyone builds. That removes a lot of friction and helps us move really fast. It also changes the feeling of ownership. You’re not responsible for just one step, you own the outcome. Somewhere along the way, I realized I’m no longer just a Product Designer. I’m closer to a design engineer now.
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