Crypto Telegram Chat Setup: Moderation & Security

Crypto projects regularly lose their community due to spam, scam bots, and chaos. A Telegram group is the main communication channel for Russian-speaking and Asian audiences, but without proper configuration it turns into a dump of referral links and fake admins. Our team sets up chats turnkey: from choosing the group type to integrating custom bots. We will evaluate your project and offer a solution within 1–2 days.

Why Telegram for a crypto chat?

Telegram wins in ease of entry — the conversion from channel to chat is 30–40% higher for Russian-speaking audiences. Unlike Discord, no registration is required: just a link. For Western audiences, Discord is better, but for CIS and Asia, Telegram remains the standard. Official Telegram documentation describes supergroups as the optimal tool for communities:

Supergroups can have up to 200,000 members and include features like slow mode, pinned messages, and admin logs.

Group type: public or supergroup?

For a new project, a public group with a link like t.me/yourproject_chat is enough. When member count exceeds 200, Telegram automatically converts it to a supergroup. A supergroup gives you tools: replies (threads), slow mode, and advanced ban functions. We recommend creating a group as a supergroup from the start — it can be done via settings even with fewer than 200 members. This gives you all capabilities from day one.

How to set up anti-spam and verification?

Without verification, 80% of new members are bots. We install a stack:

• @Shieldy — the new member clicks a button within 60 seconds, otherwise kick. Kills 95% of bots.
• @Combot — anti-spam + activity statistics. Cuts flood and referral links in real time.
• Custom bot (Python or Node.js) — /price, /docs, /faq commands. Integrates with your API via ethers.js or viem.

Additionally, we enable slow mode 30–60 seconds for new accounts and restrict links for the first 24 hours. These two parameters reduce spam by 90%.

How to protect the community from scams?

A crypto community is a prime target for scammers. We implement triple protection:

1. Pinned message with rules: "Team NEVER DMs first. All official links are only in this chat."
2. Admin verification: each admin passes a bot check, username is verified for authenticity.
3. Disable forwarding from private channels: via group settings, turn off forwarding from private chats.

These measures block 99% of phishing attacks that mimic technical support.

Process: from audit to launch

Our standard cycle takes 1–3 business days:

• Analytics: study your project — tokenomics, target audience, current channels.
• Design: select group type, bot set, slow mode rules.
• Implementation: create/modify group, configure Shieldy, Combot, write custom bot if needed.
• Testing: run scenarios — new user registration, spam attack, phishing attempt.
• Deployment: hand over access, train team, provide documentation.

Comparison of moderation bots

Shieldy + Combot is the most balanced solution for crypto chats. Rose can be added for automatic greetings.

What is included in the result

• Ready-to-use supergroup with anti-spam bots configured.
• Custom bot with community commands (if needed).
• Documentation on chat rules and roles.
• Access to activity statistics panel (TGAnalytics, Combot).
• 2 weeks of support after launch.

Timeframes and cost estimates

Basic configuration takes 1 day and costs in the range of $500 to $1500. If a custom bot with smart contract integration (e.g., NFT balance check via wagmi) is required — up to 3 days, budget up to $3000. In the first month, you save up to 80% time on manual moderation — for a community of 10,000 members, that's about $2000.

Want such a chat for your project? Contact us — we'll evaluate your scope and offer a turnkey solution. Our experience: 5+ years in Web3, dozens of communities configured for crypto projects.

Blockchain Consulting Services: Strategy, Tokenomics, and Tech Stack Selection

Half of blockchain projects that come to us with already written code end up rewriting the architecture within the first year. The reasons are the same: chose Ethereum mainnet for prototyping without checking unit economics — gas makes the product unprofitable; created a governance token without a value capture model — price collapses six months after TGE; or chose Solana for throughput without considering that the team writes in Solidity, not Rust. On one project with 2000 lines of Solidity contracts, we saved the client significant rework costs by switching them to Arbitrum in time.

Consulting is a structured process that answers specific questions before the first line of code is written. Our experience (10+ years in blockchain engineering, 50+ projects delivered) shows that the right architecture at the start saves up to 60% of iteration time. For a personalized consulting fee estimate, contact us.

How to Choose a Blockchain for a Web3 Product?

The deciding factor is the product's transaction model. If daily volume is less than 100 transactions, Ethereum mainnet works, but you overpay for security. Consider Polygon PoS (transaction cost ~$0.001, finality 2–3 seconds, 100% EVM-compatible). If volume is 1,000–100,000 transactions per day and users are sensitive to gas, use Arbitrum One or Optimism. Both are EVM-compatible; transaction cost on Arbitrum ~$0.05–0.15, Optimism ~$0.05–0.10. Arbitrum uses Nitro (WASM-based fraud proofs), Optimism uses Bedrock with OP Stack. Withdrawal window: 7 days for both (optimistic rollup finality). For projects needing instant finality, consider Arbitrum Nova (AnyTrust, cheaper, less decentralized) or ZK rollups.

If you need throughput > 10,000 TPS and latency < 1 second, Solana (400ms block time, ~4,000 TPS sustained, up to 65,000 peak). But: Rust + Anchor instead of Solidity, account model instead of contract storage, learning curve for the team of 3–6 months. Solana has had several downtime incidents — a risk for financial applications. If you need transaction privacy, consider Aztec Network (ZK rollup with private state), Polygon zkEVM with privacy extensions, or Aleo (ZK-native L1 on Leo language). Choosing the wrong network may lead to expensive rework and loss of market window — we see this in every second due diligence.

"Most mistakes in network selection stem from ignoring unit economics — gas can destroy product margins" — from our practice.

Why Do Most Projects Lose Market Capitalization?

Most tokenomics models we analyze have one of three problems.

Problem 1: Token without utility. Governance tokens without fee capture or real decisions are just speculative assets. Compound COMP: 99% of holders never voted. The "vote-escrowed" model (veCRV Curve, vePENDLE) ties voting to lock-up, increasing participation because lockers receive real fee shares.

Problem 2: Inflation without demand sink. Staking rewards without a burning mechanism = constant dilution. EIP-1559 on Ethereum burns base fees, creating deflationary pressure when network usage is high. For application tokens: fee burning (part of protocol fees go to buyback+burn), lock-up mechanisms (reduce circulating supply), real yield (fees distributed to stakers instead of inflationary rewards).

Problem 3: Incorrect vesting for team and investors. Six-month cliff + 18-month linear vesting is standard for private rounds. But if TGE is at a high FDV, the team holds 20%, and the first unlock is in six months — tokens worth a large amount hit the market over two years. The market discounts this from day one. A healthier structure: 12-month cliff, 36-month vesting, with on-chain enforcement via a TokenVesting contract (OpenZeppelin VestingWallet or custom with revoke capability for advisor's unearned tokens).

Tokenomics simulation: We build an agent-based model in Python (Mesa framework) or use TokenSPICE. Parameters: user growth rate, retention, fee per user, staking ratio, selling pressure from unlocks. Result: forecast circulating supply, fee revenue, APY for stakers — in dynamics over 36 months. I guarantee the model accounts for worst-case scenarios — rare in the consulting market.

How Does the Tech Stack Affect Development Speed?

Stack choice determines iteration speed and hiring pool. Our team's certified professionals work with Solidity, Rust, Move, Vyper.

Solidity + Hardhat vs Foundry. Foundry wins for serious contracts: Forge tests in Solidity (no context switching), fuzzing built-in (forge fuzz), fork testing with one command (vm.createFork), gas snapshots for regression. Hardhat remains for TypeScript-heavy tests or when plugin ecosystem is needed (ethers-hardhat, hardhat-deploy). Combination: Foundry for unit/fuzz, Hardhat for deployment scripts.

Frontend: ethers.js vs wagmi/viem. ethers.js v5 is monolithic. wagmi v2 + viem is React-first, type-safe (viem generates TypeScript types from ABI), works better with React Query, supports EIP-1193 providers out of the box. For new React projects, use wagmi/viem. For existing ones with ethers.js, don't migrate just for migration's sake.

Indexing: The Graph (decentralized, subgraphs in AssemblyScript) vs Ponder (TypeScript-native indexer, good for in-house deployment) vs Moralis/Alchemy SDK (managed, fast setup, vendor lock-in). The Graph is standard for protocols needing a decentralized indexing layer. Ponder is for teams wanting control and TypeScript without AssemblyScript.

What Is the Consulting Process?

1. Discovery session (3–5 business days) — audit of current state, team interviews, requirements gathering. Result: hypotheses on stack and tokenomics.
2. Technical due diligence (if product exists) — surface-level audit of contracts, backend architecture, tokenomics model.
3. Development of Architecture Decision Record (ADR) — document with trade-offs on network, stack, tokenomics.
4. Building a tokenomics model with simulation — agent-based simulation over 36 months.
5. Delivery of documentation and templates — ADR, scripts, boilerplate repository, team training (2–4 hours).

Engagement model: fixed retainer (monthly, 20–40 hours) or project-based (deliverable-based). For pre-seed/seed startups, project-based format avoids diluting budget on a constant retainer.

What Is Included in the Work?

Timelines and Cost Guidelines

• Discovery + ADR — from 1 to 2 weeks. Cost: calculated individually.
• Full tokenomics (model + simulation + documentation) — from 3 to 6 weeks.
• Tech stack audit of existing project — from 1 to 3 weeks.
• Ongoing advisory retainer — from 3 months (minimum horizon for meaningful impact).

Choosing the wrong network or tokenomics early on can cost a project tens of thousands in rework — every second discovery session confirms this. Contact us for an expert assessment of your project in a free 60-minute briefing. Book a consultation — and we'll show you how to avoid common mistakes. For an individual cost and timeline estimate, leave a request on our website.