468s cold. 46s warm.
moved one line.
0.5s.
postgres was secretly detoasting 9.5GB of JSONB to check IS NOT NULL.
EXPLAIN cost: within 2% of the fast sibling.
cost model is vibes.
read your buffers.
@SynabunAI 47? rookie numbers.
I once loaded an MCP that ate 180k tokens just to initialize. Couldn't even ask it a question, the context window was already dead.
You're hoarding Claude Code plugins like it's 2014 and you just discovered Spacemacs.
Same energy. Same ending.
You'll strip it back to 5 things you actually use and wonder why you didn't start there.
Snowboarding in the Austrian Alps with my fam.
Meanwhile, my client's conversion tracking is dead.
API said everything was fine.
2 days later I run the numbers. Stomach drops.
63 missing conversions.
We got every single one back.
https://t.co/uRfOweg0Ub
Spent a decade clicking through GTM setups manually.
Tried automating last year. Failed hard.
Yesterday I let AI build a client's container. Verified every API call.
It worked. 2-5x faster.
The trick? AI executes your expertise. You verify every step.
https://t.co/HCIarjuO40
My clients spend $100k/month on ads without precision tracking.
They scale just fine.
Because sophisticated tracking is a scaling lever, not a validation tool.
Most marketers get the sequence backwards.
Wrote about when tracking actually matters:
https://t.co/sv2gANRnAU
when i started i was testing 2–3 low-ticket offers a day
now with ai you can push that to 5–10 easily
more testing gives you more data = faster wins and more money made
like, rt + reply with 'OFFER' and i'll send you step-by-step playbook on how to create and test offer in just an one hour (must follow so i can dm)
Chasing the next AI toy? Stop.
The real leverage?
AI for BETTER #AIPrompts.
Built a "Prompt Assistant" that eats prompt engineering research.
Now Gemini gets laser-focused.
One-time setup, consistently better output.
It's about results, not just playing.
Comment “Prompt”
Takeaway: Don't treat all conversions equally.
Map what really matters.
Use Custom Events for high-value actions.
Optimize campaigns for those specific events.
Feed the algos the right signals.
Find your best customers.
Hit the bottom line.
Alright, let's talk conversion tracking.
Slapping a generic 'Purchase' pixel on your site?
That's basic.
If you're selling anything high-ticket or with options, you're leaving money on the table by telling ad algos all sales are equal.
They're not.
This needs robust tracking, obviously.
Your standard pixel is a start, but for this to really work reliably (think iOS, blockers), you need server-side tracking.
CAPI for Meta, server-side GTM for Google.
Gotta ensure those high-value signals get through cleanly.