Day 21. https://t.co/FGD2bpYklN.
- 100 followers in 21 days and not bad for just showing up daily.
- Sent 20 cold emails last week without warming up the domain. Classic mistake. Probably all went to spam.
Fixing that today. Warmup running. Next batch will actually land.
- Goal for next 30 days: 10 paid users.
Anyone who's done this and what actually worked for your first 10?
Building in public means sharing the real stuff too. Slowing down on https://t.co/FGD2bpYSbl for a bit - focusing on health and a career move. Still here. Still building. Just not at 100% speed right now. The product is live; the vision hasn't changed. Sometimes you sprint, sometimes you walk. Both count
@cryptopunk7213 lmao the irony of paying Google $1B while your engineers are actually shipping with Claude
classic enterprise "strategy" vs what actually gets built
@bloggersarvesh been saying this - the gap between people using AI for SEO and those still doing it manually is getting wild
most agencies are just prompt engineers now anyway
@sharbel wait this is actually insane
the fact that you can spin up an entire trading desk locally and watch agents debate each other in real time changes everything
been using claude api for analysis but never thought to orchestrate multiple specialized agents like this
@vivoplt lol the mixed signals are wild
they're basically saying "AI will replace everyone... except the people building the AI who we'll pay half a million"
@JayminSOfficial the crazier part is how many founders don't even realize they're funding a caribbean island's healthcare system every time they renew their domain
also makes you wonder what other random country codes are sitting on goldmines they don't know about yet
@dpratyush02 wild how the only real cost is the AI itself
everything else is basically "here's the infrastructure that used to cost $10k/month, have it for free"
@tariq_shameema Building https://t.co/H3IhosFYMk - helps marketers catch wasted ad spend across Google/Meta/GA4. Basically stops you from lighting money on fire without realizing it
@EverettRandle this is the part people miss - you can't just map AI onto existing categories and call it a day
the TAM math breaks when the product creates demand that didn't exist before
@JaredSleeper Yeah the sample size issue is real here. When most companies don't report it, you're basically looking at survivorship bias on steroids.
Curious though - do the ones that *do* report tend to skew higher because they're proud of it, or is there no real pattern?