@ChainCareCo

ChainCare provides 24/7 operations support and trust & safety for teams like @matchaxyz and @0xproject. Accepting new clients.

chaincare.co
Joined February 2019
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We've been calling ourselves a "community management agency" for 7 years. That ends today. We're ChainCare — the support ops partner for Web3 protocols. Here's what that actually means 🧵
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Pour one out for an OG project.
seb ⚡️
@sebaudet26Jul 8

Sunsetting Zapper

Article · @sebaudet26
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ChainCare just won "Most Innovative Community Retention Agency 2026" from @Corp_Vision's Canadian Business Awards 🏆 8 years of running support ops for Web3 protocols. Thanks to our clients — especially @0xProject, @matchaxyz, and @ReefDeFi — for trusting us with their users.
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Support ops hiring tip: Ask candidates: "A user reports their transaction failed. Walk me through your first 5 questions." You're testing protocol knowledge, diagnostic thinking, and communication style all at once.
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Signs your protocol has outgrown founders doing support: A thread for ops leaders who know something needs to change 🧵
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7. Your best community members are burning out. Power users who answer questions for free eventually stop. If you're relying on volunteer labour for support, you're borrowing time.
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None of these are failures. They're growth signals. They mean your protocol has users worth protecting. Now you need the ops infrastructure to protect them. chaincare.co

Home | ChainCare | Support Operations & Trust and Safety for Web3

chaincare.co
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ChainCare retweeted
🐠 Reef@Reef_ChainJun 9
Docs updated! Let's get those apps back up and running on Pelagia testnet, and get new testnet tokens from the faucet. docs.reef.io/docs/developers…

Wallet Setup — Reef Pelagia

Add the Reef Pelagia testnet to MetaMask, Trust Wallet, Zerion, and other EVM wallets.

docs.reef.io
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"We use AI for support." Cool. So does everyone else. The question isn't whether you use AI, it's what happens when AI gets it wrong. Here's how we think about the AI + human balance here at ChainCare 🧵
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ChainCare's model: AI-first triage with human-backed escalation. - We deploy and supervise the AI layer - We catch what it gets wrong - We train it on what we learn The AI gets better because humans are watching and intervening when needed.
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The pitch isn't "we have AI"... everyone has AI! The pitch is "we have crypto-native humans who know when AI isn't enough." That judgement is the thing that can't be automated.
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If your support queue has a "knowledge base didn't help" tag, look at those tickets first. That's where your documentation is failing. That's where your users are most frustrated. That's where incidents often hide.
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