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.

AI Coders are here. The edge now is domain + execution. Not vibing.

Published: November 18, 2025

Three perspectives. All pointing to the same shift. An investor, a strategist, and a hands-on analyst.

Vibing?

Get this straight - there is no vibe magic going on here. Prompt hot air into a chat box and out pops a production level model / app - doesn't work that way.

The Investor's View

Francois Arbour (founder, sold to Shutterstock): The 10x lie. Developers are building solutions in search of problems. Now doing it 10x faster. The real multiplier isn't in your IDE. It's understanding customer pain, distribution, pricing.

"Speed without direction is just efficiently going nowhere"

The Strategist's View

Saanya Ojha (Partner, Bain Capital Ventures): Finance, law, consulting, pharma - every high-value domain will have AI trained by domain specialists doing the work. When workflows become training data, they become templates.

"The next moat isn't data but deviation. In a world where every model starts from the same best practices, value will accrue to those who break pattern."

The Hands-On View

Coding by hand was a big barrier. Learning new languages, coding from scratch - huge mountain to climb. AI coders broke that barrier. Domain and execution are now the edge, not syntax. Deviation doesn't come from prompts. It comes from years in the domain, knowing what to build, how to validate and what makes money. And if you spent years coding by hand, you have an additional edge

For us on the ground, enough strategy and vision stuff, back to work ➜

The debates will continue. The shift is already here. Your move.