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I'll help you telling how I turned from 141 followers to 149 followers in only 9 months. You won't regret it. Subscribe now.
Greg ☦️ retweeted
I'm BEGGGGING you man: buy your 2027 cold-email domains BEFORE you need them.
Our strongest thesis right now is slow acquisition. Buy ahead, let them babies age, track if they're being listed on Spa-mHaus, and give yourself time to see what you're actually putting into production.
We're still buying mostly .com + .co. We're also buying selected cheaper TLDs at roughly $2-3 per domain and seeing around 70–80% remain unlisted as they age.
Here's how we're buying going into 2027:
1. Understand who's doing the listing.
Validity's Heatwave dashboard shows how many domains get listed on a daily basis.. 5,136 just today.
2.3M domains listed, pre-listed AND under-watch domains. Those are Heatwave figures though so not Spamhaus totals.
Spa-mhaus has an active collaboration with V-alidity led to roughly a million cold-email domains being listed from late Aug 2026. This is already happening at scale.
2. Buy 30–90 days ahead.
- Our minimum holding period: 30 days
- Our preference when we can plan ahead: closer to 90
- No immediate outbound
- No need to create mailboxes the day we register
- Check listing status throughout the holding period
Spamhaus's ZRD dataset showsyou newly reg'd or newly observed domains for 24 hours.
Guidance by Spamhaus also tells you they have heightened scrutiny during a domain's first 30 days.
So cheap TLD + provision mailboxes within the day day or two on that cheap TLD or even a .com = very likely to get listed, they also grade domains on age and synthetic warming, mf'ers are smart, we're playing cat mouse with multiple multi billion dollar orgs, and we will win.
But this doesn't mean your domains become trusted on day 31 like magic.
New-domain guidance.
If you hold a domain for three months, you've got roughly nine months left before its first annual renewal.
Plan the purchase around when you'll actually need the capacity.
3. Stop buying the same name 100 different ways.
We're avoiding batches built around the same words with a prefix or suffix changed:
- xyzgroup
- xyzcapital
- xyzconsult
- xyzpartners
Spamhaus's April–September report ranks these among trending terms in newly registered domains:
- group: rank 5
- consult: rank 10
- capital: rank 12
- partner: rank 18
We're comfortable using unbranded domains. The sender identity still needs to make it clear which business is contacting someone.
Brother, i'm buying random ass domains and they perform just as well.
Debt offers getting sent out from immulatestars(.)co
It peforms.
Our decision is to stop buying repetitive batches built around them. The report also explicitly tells registrars to investigate related registration patterns.
4. Keep .com + .co as the majority.
Test cheaper TLDs in smaller cohorts.
The same Spamhaus report showed .info listings rising 248% while new .info registrations fell 52%.
That's why we're avoiding additional .info exposure (for now), even while testing other cheaper options.
Track the economics of each batch:
- Registration cost
- Renewal cost
- Number still unlisted after the holding period
- Cost per domain that passes your checks
- What happens after actual sending begins
For example, 100 domains at $2–3 costs $200–300.
If 60–80 remain unlisted, that's $2.50–5 per unlisted domain before mailbox costs. A low purchase price only tells you part of the story.
5. Separate aging from synthetic warmup.
A domain sitting unused for 90 days and a mailbox exchanging automated warmup messages are doing different things.
Heatwave's published policy targets synthetic warming.
It can also pre-list registered domains associated with a related warming operation before those domains send. Aging alone doesn't prevent that, and a green warmup score doesn't override a listing.
6. Acquire gradually and keep a proper inventory.
Buy manageable cohorts against future demand. Choose reputable registrars; using several can spread operational dependency, but we don't treat registrar diversity as protection from listing.
Record:
- Domain + TLD
- Registrar + registration date
- Acquisition + renewal price
- Earliest deployment date
- Mailbox creation date
- Latest Spamhaus + Heatwave checks
- Actual sending history
- Reason it's approved, held or rejected
7. Investigate problems before deploying more domains.
Keep an aged reserve, check authentication before deployment, and ramp volume gradually. Watch complaints, bounces and actual responses at the domain level as well as the mailbox level.
For our existing mailbox layouts, our internal cold-send ceilings are:
- 25 mailboxes per domain: 2-10 cold emails per mailbox per day, the less the better, everyone wants to get the most send for their buck so then you have tolerate getting hit more often.
Buy earlier. Track each cohort. Let domains age. Deploy only after checking what survived and what you're asking it to do.
Greg ☦️ retweeted
Monsieur le député Lhardit,
Devant la gravité des faits constatés, je saisis le procureur de la République de Paris ainsi que la @CNIL.
Peine encourue : 1 an de prison et 75 000 € d'amende (art. 1-2 LCEN).
C'est très, très grave.
Dis donc @LaurentLhardit, alias #Taxego, ce n’est pas très « souverain » tout ça ! 🤨
Prôner le « consommer français » pour redynamiser notre économie, tout en affichant un hébergeur lituanien domicilié à Chypre.
Il faut montrer l’exemple.
Greg ☦️ retweeted
Hunter analyzed 31 million cold emails to find out what gets replies.
Here's what they found:
Greg ☦️ retweeted
The future of marketing belongs to companies that are willing to let the market change their product.
Greg ☦️ retweeted
1. Great content × zero distribution = wasted effort
2. Great branding × zero distribution = nobody remembers you
3. Great product × zero distribution = nobody buys
4. Great distribution × zero credibility = nobody stays
Greg ☦️ retweeted
google’s core problem is that it was built to organize a web that no longer exists. the open web has been replaced by walled gardens, discord servers, newsletters, private forums, & algorithmic feeds that are never exposed to search. worse, the visible parts of the web that google still indexes have been overrun by seo-optimized sludge, ai-generated spam, & paywalls.
their dna is fundamentally extractive. they never built a creator ecosystem because their whole game was to scrape, index, & serve ads against other people’s content.
the entire ecosystem slowly but surely shifted drastically—with llm’s anyone can organize anything so the mission breaks down.
Greg ☦️ retweeted
Don't sell content, sell trust.
Don't sell a newsletter, sell a weekly hour with you.
Don't sell a framework, sell the result it gets.
Don't sell your expertise, sell the client's next level.
Don't sell the call, sell the clarity on it.
Sell the destination.
Greg ☦️ retweeted
Want to own your future?
- Find a city that energizes you.
- Start working with A+ people.
- Do your job exceptionally well.
- Do it long enough to build a reputation.
After that, the world is basically yours.
Greg ☦️ retweeted
FOUNDERS‼️: SpaceXAI just opened a startup program. Get up to 6-12 months of FREE Grok credits.
This is @Grok for Startups. One credit balance across Grok, Grok Build, @bot, and the Grok API.
What you get:
- credits sized to 6 to 12 months of real usage
- 20% on approval + 80% after onboarding
- direct line to the startups team
- already got credits from an earlier xAI program? You can still apply.
Who qualifies: the team checks each application for venture backing, a live product, and a company email that matches your website.
Apply 👉 x.ai/startups
Raising on the back of that AI product? @ThePageform turns your materials into a ready data room in under 5 minutes.
Greg ☦️ retweeted
saas is becoming free
give away the crm
give away the dashboard
give away the app
and charge for the agent that does the work
Greg ☦️ retweeted
There are seven main steps for your company to go from tool adoption to agentic org.
Most companies sit on step one, shopping for step seven technology. They need step four discipline.
Step one: tool adoption. AI tools exist across the org, humans run each one. Developer closes the lid, automations die. Somebody goes on vacation, the workflow goes with them.
Step two: context layer. Knowledge graphs per department, each behind its own API gateway. Sales queries engineering through an API. Separated domains keep agents from hallucinating across departmental boundaries.
Step three: harness engineering. Build evaluation criteria, routing logic, and quality gates before you pick a model. The LLM comes in last. Your harness is your IP and your capex. The model underneath is a commodity you swap when something better ships. If changing the LLM breaks your system, you built a dependency, not a platform.
Step four: go headless. Host every automation outside a laptop. It fires on schedule, on conditions, without a human logging in at 9 AM. Companies stall here because nobody forces the migration from “script on my desktop” to “service that runs on its own.”
Step five: governance. RBAC on every knowledge structure from day one. TTL on every agent. Dead agents are tech debt with active API keys. Past 100 tools, you need lifecycle management. Retire anything that hasn’t run in 90 days. Deprecate anything whose eval scores drop below threshold.
Step six: agent-to-agent. Stitch headless instances together within a value chain. Agent A finishes, hands off to Agent B. An LLM sits between them as a quality gate, judging every handoff before it passes through.
Step seven: step functions. Orchestrated, semi or fully automated workflows. Agents handle volume. Humans handle exceptions. The org runs on agent output.
We walked a VP of Engineering through all seven.
Told him: “You’re on step one. But over a hundred tools means step four is closer than you think.”



























