89.6K
SWStop using supabase
#buildinpublic #supabase #indiehackers #vibecoding
@swaraj.human
#Supabase Postgresql Database
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TEDatabase build is a web-based PostgreSQL playground that lets you spin up full databases locally in your browser, powered by WebAssembly. Instantly design schemas, run SQL queries, import CSVs, and generate data visualizations all without installing software or managing servers. Integrated AI tools help you write SQL or build tables from natural language, while Live Share and deployment to Supabase make it perfect for both rapid prototyping and production workflows.
Key Features
Run PostgreSQL directly in your browser with no backend server
Unlimited local databases stored in IndexedDB
AI-powered SQL generation and table creation from natural language prompts
Import CSV files and generate charts from your data
Live Share to connect external clients like psql or IDEs
Drag-and-drop support for .sql files and export schemas/data
One-click deploy to Supabase projects
Works on desktop and mobile devices
Pricing
Database build is free and open-source. If you connect it to external paid services like certain LLMs or Supabase hosting, those may have their own costs.
#database #postgresql #superbase #backend #coding #vibecoding
@techinsixty
162.0K
BUComment 'BACKEND' to get my Free Supabase MCP setup guide.
This is the fastest way to build a backend for your apps with AI.
Front-end? Easy. AI coders handle that in minutes.
Backend? That’s the pain point. Databases. Tables. Functions. All the messy stuff developers usually dread.
Now imagine this. You open Cursor. You tell your AI to set up a backend. Done. That’s what Supabase MCP does. It sits between your AI and Supabase, like a translator.
What can it do?
* Create full databases
* Add tables
* Run migrations
* Deploy edge functions
And here’s the kicker—you never touch a single line of backend code. It writes all of it automatically. It even hooks your front-end straight into your database. Everything stays in sync.
Setting it up is ridiculously simple. Add the MCP server inside Cursor. Paste your Supabase access token. That’s it. No extra tools. No manual SQL. No copy-paste headaches.
Think of it like this: without MCP you’re constantly wiring up loose cables, hoping nothing breaks. With MCP, it’s all pre-wired. Just turn on the switch and go.
#supabase #backenddevelopment #supabasemcp #modelcontextprotocol #aitools #ainews #aiindia #aicommunity #databasemanagement #postgresql
@builtbyprajwal
10.8K
MAThe $2B backend that 40% of Y Combinator startups use (and why Google Sheets will never cut it) 👇
Everyone talks about the front end. Nobody talks about what holds it up.
Let me show you reality...
Project Atlas Database: • 34 interconnected tables • Complex foreign key relationships • Handles millions of data points • Powers our entire operation
Try building this in Google Sheets. Or Airtable. Or Notion.
You can't. And that's the problem.
Supabase by the numbers: • $2 billion valuation • 1 million+ databases managed • 40% of YC startups use it • Scale to 60TB storage
Real companies, real scale: • Pebblely: 0 to 1M users in 7 months • 1Password: Enterprise authentication • PwC & J&J: Mission-critical apps • GitHub Next: Experimental features
But here's what matters to YOU...
One platform, everything included:
🔐 Authentication - User management done
⚡ Real-time - Live data synchronization
📁 Storage - Files, images, videos
🧠 Vector DB - AI-ready embeddings
🌐 Edge Functions - Serverless computing
🔍 Instant APIs - Auto-generated from schema
Time to production: Firebase setup: Days of configuration AWS backend: Weeks of architecture Custom solution: Months of development Supabase: Live in minutes
Why developers are switching: • Open source (no vendor lock-in) • PostgreSQL (industry standard) • Row-level security (built-in) • Self-hostable (you own it)
I've built on every platform. Nothing touches Supabase for speed to scale.
The hidden truth: Great front ends fail with bad backends. Your database IS your business. Choose wisely.
Our Atlas project would be impossible without Supabase. 34 tables. Thousands of relationships. Zero performance issues.
This is Day 8 of my 30 Days, 30 Tools series.
Comment "SUPABASE" for: ✓ Atlas database schema (34 tables) ✓ Backend architecture templates ✓ Authentication setup guide ✓ Row-level security playbook ✓ Migration scripts from Firebase/AWS
Stop building on sand. Start building on rock.
#supabase #backend #database #postgresql #30days30tools #startup
@manikanasani
131.9K
CHfirebase vs supabase, here is how I choose…
First, the reason I use platforms like this is so I don’t have to think about scaling and big security details
Second, the choice really comes down to SQL vs no-SQL database structure BUT let me just give you specific scenarios in plan English 😅
For the majority of applications, I would probably recommend Supabase (bc SQL usually makes more sense)
But I prefer using Firebase if real-time is important to the application, so for a chat app with multiple users
I would also choose Firebase if it’s a mobile application only, and I really want to prioritize launch speed. They handle so many things like offline mode, caching, out of the box
I would choose Supabase if it’s primarily a web application or something very data-intensive. For example, I am working on a subscription tracking app and I have to crunch 100,000 records in some cases, and Supabase with SQL makes this so much easier
My recommendation to people who are just starting out is to use Supabase because the sequel data structure is much more forgiving because you have to define everything and it’s harder to mess up
Firebase is a NoSQL database and can cause a lot of issues in the application if things mess up over time if you're vibe coding really fast
This is a very simplified version, but I hope it helps a little bit!
#softwaredeveloper #coding #appdesign
@chris.raroque
686.9K
SABackend scares. Save and share! Comment “vibe” for setup guide!!!!
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#vibecoding #codinglife #codingisfun #antigravity #supabase
@sai.builds
125.1K
PAFree PostGres Database for your project 🛢
This website helps you to make a free PostGres database with 512MB of RAM and 1 GB of storage for 3 months.
Follow @the.ai_kid for more on Tech
#postgres #database #storage #free #developer
@parasmadan.in
416.1K
EMComment “SQL” to get links!
🚀 Want to master SQL without getting bored to tears? This mini roadmap takes you from “what is a database?” to solving complex crimes with code.
🎨 DrawSQL
Stop trying to visualize complex databases in your head. This tool lets you build beautiful Entity Relationship Diagrams (ERDs) just by dragging and dropping. It is the best way to understand how tables relate to each other—Foreign Keys and Joins finally make sense when you can actually see them.
⚡ SQLBolt
Perfect if you want to learn by doing, not reading. This site gives you bite-sized, interactive lessons right in your browser. No installation needed. You’ll race through the basics of SELECT, filtering, and aggregations with instant feedback on your code.
🕵️ SQL Murder Mystery
The ultimate way to practice. There has been a murder in SQL City, and you have to solve it by querying the police database. You will use advanced logic, joins, and wildcards to find the killer. It turns “studying” into a detective game you actually want to play.
💡 With these resources you will:
Visualize database architecture like a System Designer
Master the syntax through hands-on repetition
Build real-world problem-solving skills (and have fun doing it)
If you are aiming for Data Analytics or Backend Engineering roles, these 3 tools are your cheat sheet.
📌 Save this post so you don’t lose the roadmap.
💬 Comment “SQL” and I’ll send you the direct links. 👉 Follow for more content on Coding, Data, and Tech Careers.
@emrcodes
41.0K
VOComment “DATABASE” for the links.
You Will Finally Understand Databases & SQL
📌 Watch these high-quality database videos:
1️⃣ Harvard CS50’s Intro to Databases with SQL
A full university-level course covering SQL, relational databases, schemas, queries, joins, indexes, and real-world database fundamentals.
2️⃣ 7 Database Paradigms (Fireship)
A fast, clear breakdown of different database types including relational, NoSQL, key-value, document, graph, and when to use each.
3️⃣ Database Design Course (Caleb Curry)
A beginner-friendly guide to database design, normalization, relationships, primary keys, and planning databases the right way.
If SQL feels confusing, database design feels abstract, or you’re unsure how real systems store and organize data, these videos connect everything together step by step.
Great for learning SQL basics, understanding relational vs NoSQL databases, improving backend fundamentals, preparing for interviews, and building real projects that use databases properly.
Save this if you want database concepts to finally make sense instead of memorizing queries.
@volkan.js
555.3K
SUWhy are you still writing backend API’s?
@supabasecom
758.0K
SAFree open-source database design tool
✅ Share this reel with your friends
✅ Follow @sarthaksavvy
Free, simple, and intuitive database design tool and SQL generator.
https://drawdb.vercel.app/
#database #databasetool #databasedesign #bitfumes #mysql #postgresql #sqlite #mongodb #dynamodb
@sarthaksavvy
449
TE▶️ Using multiple databases is a waste of money when PostgreSQL ("Postgres") can handle most requirement from a traditional relational database (RDBMS) into a highly extensible, "all-in-one" data platform.
✅ Postgres often eliminates the need for specialized systems (like MongoDB, Redis, or Elasticsearch) for 99% of use cases, saving on infrastructure, licensing, and, most importantly, engineering overhead.
▶️ Why Postgres "Does It All" (The Case for Consolidation)
➡️ Document Store (JSONB): Postgres allows you to store and query JSON data, offering performance that rivals MongoDB.
➡️ Vector Search (AI/LLMs): With pgvector, you can store, index, and search embeddings for AI applications directly in SQL.
➡️ Time-Series Data: Extensions like TimescaleDB turn Postgres into a high-performance time-series database, handling IoT and metrics data efficiently.
➡️ Full-Text Search: pg_textsearch provides advanced search capabilities, including ranking and synonym mapping, removing the need for Elasticsearch in many cases.
➡️ Geospatial (GIS): PostGIS is the industry-standard for geospatial data, often superior to specialized proprietary GIS software.
➡️ Queuing: pgmq or SKIP LOCKED patterns allow Postgres to handle messaging queues.
➡️ Massive Horizontal Scaling: Postgres is designed to "scale up" (more CPU/RAM) rather than "scale out" (horizontal sharding).
➡️ Extreme Read-Heavy Latency: If you need single-digit millisecond responses on a massive, read-only dataset that exceeds memory, specialized in-memory solutions might be necessary.
➡️ Complex Graph Relationships: While Postgres can do recursive queries, a dedicated graph database like Neo4j is superior for complex, deep-path relationship modeling
#postgres #sql #dbmanagement #postgresql
@tech_tonic_s
✨ #Supabase Postgresql Database Discovery Guide
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