Supabase has rate limits to keep things running smoothly and prevent misuse. Check out the rate limiting documentation to see what limits apply to your plan.

Figure out which parts of your Supabase project are hitting those rate limits. Usually, it's stuff like database queries, authentication requests, and storage operations.

Cut down on the number of requests each client makes by using throttling. Libraries like lodash.throttle can help you limit function calls so you don't go over the rate limits.

import throttle from 'lodash.throttle';

const makeThrottledRequest = throttle(() => {
  // Your request to Supabase
}, 1000);  // Adjust the timing as needed

Use caching to avoid making the same requests over and over. You can cache on the client-side with local storage or IndexedDB, or on the server-side with something like Redis.

// Example using local storage for simple caching
const fetchDataWithCache = async (key) => {
  const cachedData = localStorage.getItem(key);
  if (cachedData) {
    return JSON.parse(cachedData);
  }
  
  const { data } = await supabase.from('your_table').select('*');
  localStorage.setItem(key, JSON.stringify(data));
  return data;
};

Add rate limiting on the server side using middleware. If you're using Express.js, express-rate-limit is a good option.

const rateLimit = require('express-rate-limit');

const limiter = rateLimit({
  windowMs: 15 * 60 * 1000, // 15 minutes
  max: 100 // limit each IP to 100 requests per windowMs
});

app.use('/api/', limiter);

Instead of making a bunch of requests for individual records, batch your database queries to cut down on the number of requests.

const { data: batchData } = await supabase
  .from('your_table')
  .select('*')
  .in('id', [1, 2, 3, 4, 5]);  // Adjust IDs as needed

Keep an eye on your request rates with logging and monitoring. Tools like Datadog, New Relic, or even custom logging can help you see how often and where your requests are coming from.

const logRequest = (endpoint) => {
  console.log(`Request made to: ${endpoint}, at: ${new Date().toISOString()}`);
};

Make sure you handle rate limit errors nicely. If you hit a rate limit, you can retry after a delay or let the user know what's going on.

const fetchWithRetry = async () => {
  try {
    const { data, error } = await supabase.from('your_table').select('*');
    if (error) throw error;
    return data;
  } catch (error) {
    if (error.status === 429) {
      // Rate limit error
      setTimeout(fetchWithRetry, 1000); // Retry after 1 second
    } else {
      console.error(error);
    }
  }
};

fetchWithRetry();

Make your queries as efficient as possible to reduce server load. Use filters, limits, and pagination to get just the data you need.

const { data } = await supabase
  .from('your_table')
  .select('id, name')
  .eq('status', 'active')
  .limit(10);  // Fetch only 10 active records

If you're still running into rate limits, it might be time to upgrade your Supabase plan. Higher-tier plans come with higher rate limits and can handle more requests.

By following these steps, you can manage rate limiting in Supabase effectively, keeping your app running smoothly.