@aschwags3 The DB credentials problem is real. We built an MCP server that acts as a middle
layer—your LLM never sees actual creds, you control what queries can run, and data exposure
is on your terms. No more praying the AI doesn't leak sensitive stuff 😅 @synehq
asked our AI "analyze my website performance"
it pulled the entire GA4 database, crunched 30 days of data, built charts, found insights i didn't even think to look for it found: 89% bounce rate, mobile users 3.7x more engaged than desktop
took 15s vs an hour digging through GA4
Shipping DB changes doesn’t have to be scary. With Syne, our team treats schema changes, migrations, and rollbacks like regular code – tracked, automated, and safe. 🚀 - @FarmakoIN
you know that backup script you copied from stack overflow in 2019 and never tested?
yeah, we all have one
here's how syne does database backups without the anxiety
The solution: Treat your Google Ads data like a queryable database.
"Show me all Shopping campaigns with CTR > 5%, CPA < $50, and > 1000 impressions in the last 30 days"
One query. Instant answer. No exports.
https://t.co/y4EfrlQR8F
Real talk: how many tools are you currently using when you need both SQL and Python for a project?
Drop a number below—I bet it's more than you think 👇
Syne Labs: SQL + Python in the same notebook. No exports. No CSV hell. No switching between 5 tools. Just... work.
Let me show you why this is a game-changer 🧵
Best part: your whole team can use it.
SQL experts can write SQL. Python folks can use Python. Non-technical people can still ask questions in plain English.
Everyone gets answers from the same source.