Best used with an AI agent

40+ live apps, open data APIs, MCP servers, and 200+ guides - more than anyone wants to click through. Point your AI here and it reads the whole map and does the work: finds the tool, pulls the data, runs the analysis, and hands you the links.

Here for the open-source code? Your agent finds the right repo for you - and can even clone and deploy it.

Prefer to explore on your own? Go right ahead.

Paste this to Claude Code, Codex, or any AI agent:
Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Instant Database Setup for AI Apps. With Neon.com

Published: November 18, 2025

You're building an AI app. A user hits 'create'. Your app needs to spin up a database. How long do they wait?

Regular cloud databases take 3-5 minutes or longer to setup, need manual configuration, charge 24/7 even when idle. Doesn't work when you need databases created on-demand, within an API call.

I use neon.com for this. Neon setups up a full Postgres instance in under 1 second via API. Not a sandbox. A real database with connection string, credentials, everything.

I use it in my data app at www.tigzig.com/analyzer. The app works with remote databases, but when users upload CSV files without an existing database, I need to give them something to work with.

My workflow: User uploads CSV → API call to Neon → Postgres instance created → Username and password generated → Database connection checked → AI schema detection runs on the CSV → Data pushed to Postgres.

The whole sequence happens in seconds. The user sees a working database, data loaded and AI all ready to answer questions as schema shared with it as part of workflow.

I currently have 6 live client workflows running on free tier. Small businesses getting live analytics and automation with low database admin overhead.

Large scale use cases

Generous free tier

Up to 30 projects. Each project supports unlimited databases. For small interactive databases, you can fit 30-40 databases in one project. Each project gets 0.5GB storage and 100 CU-hours per month with autoscaling up to 2 CU (2 vCPU / 8 GB RAM). Total: 15GB storage across all projects. More than enough for development and testing as well as live small business use cases.

Database provisioning solved. In under a second. Via API.