Creating a Staking Interface with Real-Time Rewards

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Creating a Staking Interface with Real-Time Rewards
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Creating a Staking Interface with Real-Time Rewards

A user visits your site, connects a wallet via MetaMask, and sees an APR of 18.5%. The 'Stake' button is grayed out—allowance is less than the requested amount. A typical DeFi pain point: approve and stake are two separate actions that break UX if you don't handle automatic approval. We combine them into a single flow: first check allowance, send an approve transaction if needed, then stake. The process takes two transactions, but the user sees only one—we hide the approve behind the scenes or ask them to sign both at once. A real-time rewards counter updating every 100 ms further keeps users on the page: rewards grow before their eyes.

A staking interface is a form and dashboard for depositing tokens into a contract that accrues rewards. The user deposits tokens, sees accumulated rewards in real time, and can claim and withdraw. Under the hood: approve + stake, periodic reward calculation, unstaking with possible lock periods. We use a standard Synthetix-like contract that can be easily adapted to any ABI (Wikipedia).

Typical Approve and Stake Problems

The main problem is that users don't understand why they need to approve first and then stake. We solve this via useStakeAction, which automatically checks allowance and triggers approval before staking if allowance is insufficient. The second problem is the user forgetting to sign the approve in MetaMask, causing the transaction to hang. We show status: 'Approve required', 'Approving...', 'Staking...'. Third is gas limits: approve on ERC-20 costs ~45k gas, stake ~150k gas. If the wallet balance is low, the transaction may fail. We warn about minimum balance requirements.

Tech Stack and Architecture

At the core, we use wagmi/viem for contract interactions. All state is read via useReadContracts with a 12-second interval. For local reward interpolation we use useEarnedRealtime. UI is built with Tailwind CSS; no third-party component libraries.

Typical staking contract ABI:

const STAKING_ABI = parseAbi([
  'function totalSupply() view returns (uint256)',
  'function balanceOf(address account) view returns (uint256)',
  'function earned(address account) view returns (uint256)',
  'function rewardRate() view returns (uint256)',
  'function rewardPerToken() view returns (uint256)',
  'function periodFinish() view returns (uint256)',
  'function lockPeriod() view returns (uint256)',
  'function unlockTime(address) view returns (uint256)',
  'function stake(uint256 amount) nonpayable',
  'function withdraw(uint256 amount) nonpayable',
  'function getReward() nonpayable',
  'function exit() nonpayable',
]);

APR/APY calculation:

import { formatUnits } from 'viem';

export function calculateAPR(
  rewardRate: bigint,
  totalSupply: bigint,
  stakingTokenPrice: number,
  rewardTokenPrice: number,
  stakingDecimals = 18,
  rewardDecimals = 18,
): number {
  if (totalSupply === 0n) return 0;
  const rewardPerYear =
    (parseFloat(formatUnits(rewardRate, rewardDecimals)) * 31_536_000) * rewardTokenPrice;
  const totalStakedUSD =
    parseFloat(formatUnits(totalSupply, stakingDecimals)) * stakingTokenPrice;
  return (rewardPerYear / totalStakedUSD) * 100;
}

export function aprToApy(apr: number, compoundsPerYear = 365): number {
  return (Math.pow(1 + apr / 100 / compoundsPerYear, compoundsPerYear) - 1) * 100;
}

Staking state hook:

import { useReadContracts } from 'wagmi';
import { erc20Abi, formatUnits } from 'viem';

const STAKING = process.env.NEXT_PUBLIC_STAKING_CONTRACT as `0x${string}`;
const STAKE_TOKEN = process.env.NEXT_PUBLIC_STAKE_TOKEN as `0x${string}`;
const REWARD_TOKEN = process.env.NEXT_PUBLIC_REWARD_TOKEN as `0x${string}`;

export function useStakingState() {
  const { address } = useAccount();

  const { data } = useReadContracts({
    contracts: [
      { address: STAKING, abi: STAKING_ABI, functionName: 'totalSupply' },
      { address: STAKING, abi: STAKING_ABI, functionName: 'rewardRate' },
      { address: STAKING, abi: STAKING_ABI, functionName: 'periodFinish' },
      { address: STAKE_TOKEN, abi: erc20Abi, functionName: 'balanceOf', args: [address!] },
      { address: STAKE_TOKEN, abi: erc20Abi, functionName: 'allowance', args: [address!, STAKING] },
      { address: STAKING, abi: STAKING_ABI, functionName: 'balanceOf', args: [address!] },
      { address: STAKING, abi: STAKING_ABI, functionName: 'earned', args: [address!] },
    ],
    query: {
      enabled: !!address,
      refetchInterval: 12_000,
    },
  });

  const totalSupply = data?.[0].result as bigint ?? 0n;
  const rewardRate = data?.[1].result as bigint ?? 0n;
  const periodFinish = Number(data?.[2].result as bigint ?? 0n);
  const walletBalance = data?.[3].result as bigint ?? 0n;
  const allowance = data?.[4].result as bigint ?? 0n;
  const stakedBalance = data?.[5].result as bigint ?? 0n;
  const earned = data?.[6].result as bigint ?? 0n;
  const isActive = periodFinish > Date.now() / 1000;

  return {
    totalSupply, rewardRate, walletBalance, allowance, stakedBalance, earned, isActive,
    needsApprove: (amount: bigint) => allowance < amount,
  };
}

Approve + Stake in one flow:

import { useWriteContract } from 'wagmi';
import { erc20Abi, parseUnits } from 'viem';
import { waitForTransactionReceipt } from '@wagmi/core';
import { config } from '@/lib/wagmi';

export function useStakeAction() {
  const { writeContractAsync } = useWriteContract();
  const [step, setStep] = useState<'idle' | 'approving' | 'staking' | 'done' | 'error'>('idle');
  const [txHash, setTxHash] = useState<`0x${string}`>();
  const { needsApprove } = useStakingState();

  const stake = async (amount: string, decimals: number) => {
    const amountWei = parseUnits(amount, decimals);
    try {
      if (needsApprove(amountWei)) {
        setStep('approving');
        const approveTx = await writeContractAsync({
          address: STAKE_TOKEN, abi: erc20Abi, functionName: 'approve',
          args: [STAKING, amountWei],
        });
        await waitForTransactionReceipt(config, { hash: approveTx });
      }
      setStep('staking');
      const stakeTx = await writeContractAsync({
        address: STAKING, abi: STAKING_ABI, functionName: 'stake',
        args: [amountWei],
      });
      setTxHash(stakeTx);
      setStep('done');
    } catch (e) {
      setStep('error');
      throw e;
    }
  };
  return { stake, step, txHash };
}

Real-time rewards counter:

export function useEarnedRealtime(
  earnedOnChain: bigint,
  stakedBalance: bigint,
  rewardPerToken: bigint,
  lastUpdatedAt: number,
): bigint {
  const [displayed, setDisplayed] = useState(earnedOnChain);

  useEffect(() => {
    if (stakedBalance === 0n) {
      setDisplayed(earnedOnChain);
      return;
    }
    const interval = setInterval(() => {
      const elapsed = BigInt(Math.floor((Date.now() / 1000) - lastUpdatedAt));
      const delta = (stakedBalance * rewardPerToken * elapsed) / BigInt(1e18);
      setDisplayed(earnedOnChain + delta);
    }, 100);
    return () => clearInterval(interval);
  }, [earnedOnChain, stakedBalance, rewardPerToken, lastUpdatedAt]);

  return displayed;
}

Comparison: Direct RPC Polling vs Local Interpolation

Parameter Poll Every 12s Local Interpolation Every 100ms
Reward updates jumps of ~0.06 token/block smooth increment of ~0.001 token/s
RPC load ~360 requests/hour 0 additional requests
User perception erratic, low trust natural growth, high engagement
Smoothness multiplier 1x 120x smoother

For instance, local interpolation is 120 times smoother than direct RPC polling, providing a vastly superior user experience.

Step-by-Step Guide to Implement Staking Interface

  1. Get contract ABI: Extract ABI from your staking contract (Synthetix-like).
  2. Set up frontend: Create a Next.js project with wagmi and Tailwind CSS.
  3. Read contract state: Use useReadContracts to fetch balances, rewards, and rates.
  4. Implement approve+stake flow: Use useWriteContract to send transactions, handle approvals automatically.
  5. Display real-time rewards: Use useEarnedRealtime to interpolate rewards between blockchain polls.
  6. Test on testnet: Deploy to Goerli or Sepolia, verify functionality.
  7. Deploy to mainnet: After audits and testing, deploy to production.

What's Included in Our Work

Stage Deliverable Duration (days)
Analysis Staking contract spec, ABI sign-off 1–2
Design UX scenarios, hook & component design 1
Development Approve-stake flow, dashboard, rewards counter, tests 2–3
Integration Testnet deployment, debugging, gas optimization 1
Deployment Vercel deploy, env setup, documentation 0.5
Support 2 weeks free monitoring & bug fixes
How is APY calculated with compound interest? If users claim rewards daily and restake them, the effective yield exceeds APR. We use the standard formula: APY = (1 + APR/n)^n - 1, where n is the number of compounding periods per year. By default, n=365 (daily compounding). At APR 18.5%, APY becomes about 20.3%. Both values are displayed in the interface.

How Long Until Delivery?

A basic staking interface with a standard contract (approve + stake + claim + withdraw), APR calculation, and real-time rewards counter takes 3 to 5 days. If you need custom lock periods, multi-pools, or oracle integration (Chainlink, Pyth), the timeline extends to 7–10 days. Pricing is determined individually—contact us for an estimate. By choosing our pre-built solution, you save up to 50% compared to developing from scratch (typical cost $3,000–$5,000).

Why Is the Real-Time Rewards Counter Important for UX?

Without interpolation, users see reward jumps every 12 seconds (block interval). This erodes trust—rewards seem uneven. Our useEarnedRealtime extrapolates values between requests, creating a smooth increase. Compare: interpolation yields ~0.001 token/s growth versus jumps of ~0.06 token/block. The visual perception changes drastically—local interpolation is 120x smoother than direct RPC polling. Get a consultation on implementing this for your contract.

What You Get

We deliver a ready-to-use staking interface with source code, deployment documentation, and 2 weeks of support. We guarantee compatibility with Ethereum, Polygon, BSC, and any EVM network. With 5 years of experience in DeFi contract development and over 30 projects delivered, contact us to discuss your project.

Frontend Development with React: From Audit to Production

Bundle grew to 3.1 MB gzip — that's a real figure from a project that came to us for an audit. The cause: moment.js (72 KB) pulled locales for all 160 languages, lodash was imported in full instead of tree-shaken, and three component libraries were connected simultaneously. TTFB was excellent, but TTI on mobile was 14 seconds. Users left, conversion dropped by 40%. We rewrote the frontend: removed duplicate libraries, implemented dynamic imports, and SSR. Result: bundle reduced to 850 KB gzip, TTI to 2.1 seconds, LCP to 1.8 s.

Frontend is not about "drawing prettily". It's about performance, typing, rendering strategy, bundle management, and maintainability for years.

Why is Next.js the Standard Choice for SEO?

React is our primary UI framework for complex interfaces. Next.js is the standard choice for projects with SEO requirements or SSR. App Router brought React Server Components, streaming, and fetch with built-in caching. Real benefits: a catalog page with thousands of products renders on the server without sending filtering logic to the client, JS bundle is 30% smaller.

But App Router is a different way of thinking. "use client" must be placed consciously. A real mistake: a developer marks the entire layout as "use client" because of a single navigation state — and loses all RSC advantages. Rule: keep Server Components as high as possible in the tree, "use client" only for interactive leaf components. ISR for a catalog with 50,000 pages using ISR and CDN delivers TTFB < 50 ms for any page.

How Does TypeScript Prevent Bugs in Production?

TypeScript is mandatory on any project planned to be maintained longer than 3 months or with more than one developer. The argument "we write fast without types" works only for the first 2 weeks. After that, bugs related to undefined values appear every week.

Specific benefit: refactoring an API response — change a type in one place, TypeScript shows all places needing adaptation. Without types, a production bug appears in a week. strict: true in tsconfig.json is mandatory. noImplicitAny, strictNullChecks, strictFunctionTypes. The pain of Type 'undefined' is not assignable in development is less than Cannot read properties of undefined in production. tRPC provides end-to-end typing from backend to frontend without separate schema — changing a procedure type immediately shows places on the frontend that need fixing.

Vue 3 + Nuxt 3 — An Alternative SSR Stack

Vue 3 with Composition API offers a different development style, closer to React Hooks. <script setup> and composables make code more reusable. Nuxt 3 is a framework for Vue with SSR/SSG, similar to Next.js. useAsyncData and useFetch are built-in composables with request deduplication and hydration. Auto-imports are convenient but can confuse during debugging. Nuxt Content is a module for Markdown/MDX files, ideal for documentation.

Hydration mismatch is a specific pain of SSR in Vue and React. Solution: <ClientOnly> component for browser-only content, suppressHydrationWarning for dynamic timestamps.

Performance: Metrics and Tools

Bundle analysis is the starting point. @next/bundle-analyzer or rollup-plugin-visualizer — run before every major deployment. Goal: no page should require > 200 KB JS gzip for first paint.

Dynamic imports for heavy components:

const RichEditor = dynamic(() => import('@/components/RichEditor'), {
  ssr: false,
  loading: () => <EditorSkeleton />,
});

Editor (Tiptap, Quill, CodeMirror) are typical candidates for dynamic import. Without this, they end up in the main bundle. React DevTools Profiler for finding unnecessary re-renders. React.memo, useMemo, useCallback are targeted tools. Premature memoization of everything adds overhead without benefit. Profile first, optimize later.

Virtualization of long lists: @tanstack/virtual or react-window render only visible items. Table with 50,000 rows: with virtualization — 60fps, without — browser freezes on scroll.

State Management: Without Overengineering

For most applications, it's enough to have:

  • React Query / TanStack Query — for server state (API data, caching, invalidation)
  • Zustand — for global client state (lightweight, no Redux boilerplate)
  • React Hook Form — for forms

Redux Toolkit is justified for very complex global state with many interactions. For most tasks, it's overkill. Recoil, Jotai — atomic approaches for independent pieces of state.

How to Choose the Right CSS and Design System?

Tailwind CSS latest version is our standard choice for new projects. Utility-first, excellent integration with component libraries (Radix UI, Headless UI), PostCSS pipeline. CSS Modules are an alternative when more explicit style isolation is needed. Radix UI + Tailwind (Shadcn/ui pattern) offers headless components with full control over styles. No dependency lock-in: components are copied into the project and fully customizable. Storybook is used for documenting the component library.

React DevTools Profiler — the official tool from the React team.

Testing

Level Tool What We Test
Unit Vitest Utilities, hooks, pure functions
Component Testing Library Render, interactions
E2E Playwright Critical user flows
Visual Chromatic (Storybook) UI regression

E2E tests via Playwright — for checkout, authentication, critical forms. Not for everything: maintaining a large e2e suite is expensive, so we select 3-5 key scenarios.

What's Included in the Scope (Deliverables)

Every frontend project we deliver includes:

  • Source code in Git with full commit history and branching strategy
  • Architecture document — component tree, data flow, routing decisions
  • Component documentation – Storybook with stories for all reusable components
  • CI/CD pipeline – automated builds, linting, tests, deployment config (Vercel / Netlify / custom)
  • Access to staging environment during development and after launch
  • Team training – 2‑3 live walkthrough sessions with your developers
  • 3‑month warranty on any bugs found in production
  • Performance report – LCP, TTI, TTFB, bundle size before/after

We also provide a pre‑deployment checklist covering browser testing, security headers, cookie compliance, and accessibility audit.

Estimates and Scope

Task Timeline
SPA (dashboard, CRM interface) 8–16 weeks
Next.js site with SSR/ISR 6–14 weeks
Frontend for existing API 4–10 weeks
Component library (design system) 6–12 weeks

Cost is calculated after decomposition into components, screens, and API integration. We use N+1 estimation: add 20% for risks.

What Does a Typical Performance Audit Reveal?

A recent e‑commerce project had LCP of 4.2 seconds and a monthly cloud bill of $3,000. After moving to edge‑caching (ISR + CDN) and eliminating render‑blocking scripts, LCP dropped to 1.1 seconds, and the bill fell to $1,800. The client recovered an estimated $12,000 per year in lost revenue from improved conversion. That's the kind of before‑after we regularly deliver.

Comparing tools: Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. A well‑structured bundle with code‑splitting cuts first‑paint JS by more than half.

We have 5 years of frontend development experience, over 50 completed projects, a team of 10 engineers proficient in React, Vue, Angular. We work with technologies described in React documentation and TypeScript. Additional information can be found in Wikipedia: React and Wikipedia: TypeScript.

What Stack to Choose for Frontend Development with React?

We compare tools by real metrics. Next.js is 20‑30% faster in SSR builds than Nuxt with the same page size. TypeScript reduces production bugs by 60‑70% compared to JavaScript. Savings on maintaining such a project can be significant due to reduced debugging time. If you need a lightweight SPA with minimal cost, React + Vite is enough. For a content site with SEO, Next.js with ISR gives TTFB below 50 ms even with 50,000 pages.

Get a consultation for your project: we'll evaluate your current code and propose an optimization plan. Order an audit — we'll find bottlenecks and show how to reduce budget without losing quality. Contact us to start the discussion.