惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

C
CXSECURITY Database RSS Feed - CXSecurity.com
Help Net Security
Help Net Security
P
Privacy International News Feed
S
Securelist
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Tor Project blog
AWS News Blog
AWS News Blog
K
Kaspersky official blog
A
Arctic Wolf
Latest news
Latest news
T
Threat Research - Cisco Blogs
L
LINUX DO - 最新话题
P
Privacy & Cybersecurity Law Blog
Security Archives - TechRepublic
Security Archives - TechRepublic
Google DeepMind News
Google DeepMind News
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
月光博客
月光博客
N
News and Events Feed by Topic
Jina AI
Jina AI
博客园 - 司徒正美
WordPress大学
WordPress大学
罗磊的独立博客
雷峰网
雷峰网
AI
AI
Hugging Face - Blog
Hugging Face - Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
S
Security @ Cisco Blogs
博客园 - 三生石上(FineUI控件)
H
Heimdal Security Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
酷 壳 – CoolShell
酷 壳 – CoolShell
C
Cisco Blogs
博客园 - 【当耐特】
The Hacker News
The Hacker News
有赞技术团队
有赞技术团队
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Schneier on Security
Schneier on Security
博客园 - Franky
S
SegmentFault 最新的问题
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Cloudbric
Cloudbric
爱范儿
爱范儿
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
S
Secure Thoughts
Last Week in AI
Last Week in AI
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Know Your Adversary
Know Your Adversary
Google DeepMind News
Google DeepMind News

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
The Champion: Showing Up for the Ecosystem
Danica Fine · 2026-05-27 · via DEV Community

The Champion is a company that has chosen to champion an open source project and are investing significant resources into supporting it—maybe they have maintainers or committers on engineer staff or they have folks working directly with the community—but their core business doesn’t necessarily depend on this project for revenue.

That might sound strange. Why would a company pour engineering effort into something it doesn’t monetize?

The answer, almost always, is customers.

On the left, “Champion” on a light green background with a flag. On the right, the words “Stewardship without ownership.”

The factor profile

Where does the Champion sit on the four diagnostic factors?

Commercial dependency: Low to mid

A horizontal double-ended arrow in yellow, representing a spectrum. The left end is labeled “Independent” and the right end is labeled “Critical, revenue-generating.”

The company has a solid business independent of this project—it’s not a direct revenue driver. That said, commercial dependency is typically a notch higher than the Adopter’s. The project may be strategically important to the company’s product or customer relationships, even if it’s not commercially critical in itself.

Project maturity: More established

A horizontal double-ended arrow in light red, representing a spectrum. The left end is labeled “Nascent” and the right end is labeled “Established.”

Champions engage with mature projects that already have a community, governance, and opinions about how things should work. The project likely has an existing, healthy ecosystem—one that the Champion may already be participating in, or is deliberately choosing to invest in more deeply.

Ownership: Contributor or maintainer level

A horizontal arrow in blue spanning from “Low” on the left to “High” on the right, with four tick marks along its length. Each tick is labeled with an escalating ownership level in diagonal text: “End-user,” “Contributor,” “Steward / Maintainer,” and “Owner.”

Champions see themselves as stewards. On the technical side, they’re not just users filing the occasional issue—they have people reviewing PRs, participating in governance, shaping project direction. They are investing in engineering resources to be involved in this project. But open source projects aren’t made from just technical work; a significant part of the work Champions do can come from supporting and growing the community.

Strategic intent: Customer confidence and/or ecosystem commitment

In many cases, the Champion—or at least their users—may already be part of this ecosystem. The intent isn’t to enter a new community cold, but to deepen existing ties. Their customers already rely on the project and want to see their vendor committed to it: integrating, contributing, and demonstrating that the engagement is genuine and long-term.

Why companies end up here

The Champion model is almost always driven by external influences. Your customers may already use and trust this open source project. Your users might want to know your product integrates seamlessly with it. They want to see you at the table—contributing, shaping direction, proving you’re serious about open standards.

It’s not altruism. It’s responding to what your market is telling you.

When your customers say “we want to use this project with your platform” and you show up as a genuine champion, that builds confidence that they can use the technologies they want to use and that you’ll support them. It tells them you’re invested in the ecosystem they already trust—not just your own walled garden.

Personal Aside The Champion model is the one I’m currently living at Snowflake with Apache Iceberg™. Our customers wanted open table formats. They wanted to know we were serious about the project’s direction and that their data wouldn’t be locked in. That customer demand is what drove our engagement in the beginning, and I’m proud to say that we’ve continued to deepen our relationships with the project and ecosystem our build our credibility in the space.

There’s also a quieter, more strategic motivation that Champions don’t always say out loud: growing contributor diversity in a project dilutes any single competitor’s dominance. A healthy, multi-company contributor base means no one organization controls the project’s roadmap. That’s good for the ecosystem—and it’s good for you.

But it’s worth saying clearly: the origin being customer-driven doesn’t have to make the engagement less genuine. Many Champions start from that external pressure and develop real investment in the project’s health over time. The key is that showing up with resources and participating in the community creates actual value, regardless of what motivated the decision to engage in the first place. Intent matters, but impact matters more.

Tactics: what the work actually looks like

The Champion’s playbook goes deeper than the Adopter’s. You’re not just sharing your experience—you’re actively shaping and growing the project.

Community leadership and growth. To show their commitment, the Champion has to go beyond just attending events. They need to show technical involvement, present their work in the project at community meetups or conferences, and show up in governance discussions and working groups. And it’s possible that they’re supporting the community in creating these spaces and making these events happen. But all of their work in and around the community needs to be built on a solid, technical foundation.

Project contributions and collaboration. This is where the Champion differs most from the Adopter. Their overall goal is to increase technical contributions to the project—writing code, conducting reviews, drafting documentation—and working with the other maintainers to further project as a whole. They are mentoring new contributors, mostly internally at first, to grow your company’s direct investment in the project. If they are not engaging directly through technical contributions, the Champion is generally working to grow the committer base of the project.

Financial support. Many Champions sponsor the project’s foundation or directly fund parts of the community. The same caveat from the Adopter post applies here, as well: money creates internal pressure to show ROI. Be aware of that dynamic. But for Champions, the financial support is often more natural because the strategic value is easier to articulate internally (”our customers demand this integration”) and they have already shown financial commitment by having engineers on payroll to contribute.

The key difference from the Adopter: Champions are building relationships; they are not just increasing their visibility. They’re usually in the codebase, in the governance meetings, in the PR review queue. They’re not observers telling stories about their usage—they’re participants shaping the project’s future.

The customer confidence flywheel

There’s a positive feedback loop here that makes the Champion model self-reinforcing:

  1. Customers see your commitment to the project
  2. They trust that your product integrates well and won’t lock them in
  3. They adopt (or stay on) your platform
  4. That adoption justifies continued investment in the project
  5. Which deepens your commitment—and the cycle continues

This isn’t a “build it and they will come” situation. The investment pays for itself through customer confidence and retention. It’s one of the clearest lines you can draw between open source engagement and business value—even though the project itself isn’t generating revenue directly.

Measuring success

Champions, overall, want to see the project be healthy. But unlike the Adopter (who monitors health as a dependency risk), the Champion is actively responsible for making the project healthy.

CHAOSS metrics for the Champion

  • Project Engagement. This model measures the sustainability of a project through technical contributions and related activity:

    • Organizational Diversity. Are contributions coming from many companies, not just yours? This is the key metric for the Champion. A healthy, diverse contributor base means the project isn’t dependent on any single organization—including you. Growing that diversity is good for the ecosystem and good for your strategic position.
    • D0, D1, and D2 contributor counts. D0 are people watching—they’ve starred or forked the project. D1 are people filing issues and commenting. D2 are people actually committing code. The Champion wants all three growing. If D0 is high but D1 and D2 are flat, the project has awareness but not engagement, and that’s a health signal.
  • Community Service and Support. This model measures the quality of service the project provides to developers:

    • Issue Response Time and Change Request Duration. Together, these metrics are a good proxy for knowing if the community is being responsive to contributors. And that’s partly your responsibility as a company who may be growing their contributions. If response times are slow, the Champion should be asking what they can do to help—not just observing the problem.

The internal metric

There’s also a metric Champions track that doesn’t appear in any CHAOSS model: customer sentiment around open source commitment. Are your customers mentioning your open source involvement positively? Are sales conversations smoother because prospects trust your ecosystem engagement? That’s harder to measure, but it’s often the metric that justifies the investment internally.

Anti-patterns to watch for

Becoming a gatekeeper instead of a steward. If your company has a lot of committers and maintainers, it’s easy to inadvertently become the bottleneck. You’re supposed to be championing the project—not controlling it. If external contributions are languishing because your team hasn’t reviewed them, you’ve crossed from champion to gatekeeper.

Over-contributing to the point where others feel crowded out. Similar to the above, if your company dominates the commit history, the mailing list, and the governance meetings, other potential contributors may feel like there’s no room for them. This also goes for nontechnical contributions. Champions need to actively make space—not just fill every gap themselves.

Treating it as a pure brand exercise without genuine technical investment. Some companies want the perception of being a Champion (the logos, the sponsorship mentions, the conference keynotes) without the actual engineering commitment. The community sees through this quickly. Although nontechnical support of a project can get a company far, Champions earn their standing through contribution, not through marketing spend.

Letting financial support substitute for participation. Writing checks to a foundation is valuable—but it’s not the same as having folks on payroll in the trenches. Money without people doesn’t earn you community standing.

Examples in the wild

  • Snowflake + Apache Iceberg: Customer-driven engagement with an open table format that Snowflake’s users were already demanding. The investment demonstrates commitment to open standards and interoperability.
  • Google + Kubernetes: Created it, donated it to CNCF, and now champions it as part of a broader cloud-native ecosystem strategy. GKE exists, but Kubernetes itself runs everywhere.
  • Microsoft + the Linux kernel: Became one of the top contributors not because they sell Linux, but because Azure runs on it and their customers demand excellent Linux support.

The Champion in context

The Champion model sits in an interesting space. You’re investing more heavily than the Adopter—there are real, paid resources being committed—but you’re not necessarily monetizing the project directly like The Business does. That means the justification for the investment has to come from somewhere else: customer confidence, ecosystem positioning, or strategic diversification of a project’s contributor base.

When it works, it’s one of the most sustainable engagement models. The customer demand creates a natural, ongoing justification for the investment. The community benefits from having a well-resourced contributor who isn’t trying to capture the project for commercial purposes. And the company earns trust that translates directly into customer retention.

When it doesn’t work, the engagement erodes quickly. This happens when the Champion becomes a gatekeeper, or treats it as brand-only, or loses the internal justification. And trust, once lost in a community, is very hard to rebuild.


Next up: The Business—what happens when your revenue depends on the project’s success, and the community knows it. Subscribe so you don’t miss it.