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Valor Promotions
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Valor Promotions
@valiente707
📱Crypto & Tech fanatic. AI is the future, find an Agency that cares. https://t.co/WJRmMpTVfb
Raleigh, NC Katılım Mart 2010
2.7K Takip Edilen930 Takipçiler

Building a second brain for your advertising agency has never been easier.
But most agency owners don't have the time to learn Obsidian + claude code or validate it's even worth their time.
So I put my team to work for you.
196 pages built to help you install, set up, and start using Obsidian to run your agency with claude code powering it behind the scenes.
Inside you'll find:
→ The 5-folder vault structure that scales (plus the CLAUDE.md file that turns Claude into a collaborator who's been reading your notes for months)
→ 29 ready-to-paste plays for daily ops, content, sales calls, client delivery, and strategic thinking
→ The 30-day rollout plan
Comment AY and I'll send it.
Charly Wargnier@DataChaz
Obsidian users right now:
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Claude or Codex can find SEO Backlinks
Tired of manual searching? Solved
Tired of begging over email? Solved
This 2-prompt-chain can run automatically to spot opportunities, draft and send outreach messages via email or Linkedin
Run it as a scheduled task and never worry about it again
Comment "PROMPT" and I'll sent it
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Valor Promotions retweetledi

Did a very different format with @reinerpope – a blackboard lecture where he walks through how frontier LLMs are trained and served.
It's shocking how much you can deduce about what the labs are doing from a handful of equations, public API prices, and some chalk.
It’s a bit technical, but I encourage you to hang in there - it’s really worth it.
There are less than a handful of people who understand the full stack of AI, from chip design to model architecture, as well as Reiner. It was a real delight to learn from him.
Recommend watching this one on YouTube so you can see the chalkboard.
0:00:00 – How batch size affects token cost and speed
0:31:59 – How MoE models are laid out across GPU racks
0:47:02 – How pipeline parallelism spreads model layers across racks
1:03:27 – Why Ilya said, “As we now know, pipelining is not wise.”
1:18:49 – Because of RL, models may be 100x over-trained beyond Chinchilla-optimal
1:32:52 – Deducing long context memory costs from API pricing
2:03:52 – Convergent evolution between neural nets and cryptography
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got a dm last week from a woman in charlotte who runs a house cleaning company. she was borderline panicking.
"my bookings doubled in 3 weeks and i can't figure out why. i'm behind on everything. do you know?"
i asked her to screenshot her intake form. the "how did you hear about us" field showed the following over the last 21 days:
- chatgpt: 34
- "a friend" (probably also ai, based on the phrasing): 12
- yelp: 6
- google: 19 (but she thinks most of these are actually google ai overview since she hasn't changed her google ads spend)
so ~60% of her new bookings in a 3-week window were coming from ai. she had never done anything to optimize for ai. she didn't even know what "ai citations" were.
we got on a call. i asked her to walk me through what she HAD changed recently. answer: her virtual assistant had started posting on the company blog 2x a month. nothing fancy. just stuff like "5 things to do before a move-out clean" and "how much does a deep clean cost in charlotte"
one of those posts — "move-out cleaning costs in charlotte: what we actually charge in 2026" — had been written in december. it listed her pricing ($160 for 1-bedroom, $240 for 2-bedroom, $320 for 3-bedroom, etc) and then honestly compared her to 4 competitors she respects in the area.
that one post was now her single largest lead source, beating 4 years of google ads spend.
she didn't write it with ai in mind. she wrote it because a customer asked what things cost and she was tired of answering the same question.
this is what i keep trying to explain to local business owners: ai models don't want "seo content." they want HONEST ANSWERS. the most citation-able content is the content you write when you're annoyed that nobody on the internet has answered a basic question clearly.
pricing. real timelines. when to hire you vs diy. which competitor is actually good for what use case. what to expect on day 1.
if you write one honest version of any of those, you're in the top 5% of citation-able local content. that's not an exaggeration. we've scraped 12,000+ local business websites at localrank.so and maybe 600 of them have content that answers customer questions honestly.
the bar is embarrassingly low. get over it.
Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)

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Valor Promotions retweetledi

For $128,000 you can buy a Jetson ONE, take off from your backyard, and never need a pilot's license. Every spec on it is reverse-engineered from a single FAA regulation.
Part 103 caps ultralight empty weight at 254 pounds. Jetson built theirs at 189. Part 103 caps level flight at 55 knots. Jetson tops out at 63 mph, exactly that. Part 103 allows one occupant. Jetson built one seat.
Stay inside those lines and the FAA does not classify what you are flying as an aircraft. No pilot's license. No medical certificate. No registration. No regulatory oversight of the design. No regulatory oversight of operator competency.
That is the entire business model. The $128K buys you exemption from being a pilot.
You can see it in the rest of the spec sheet. 13.5 kWh battery for 17 minutes of flight. Open cockpit, helmet required. Daylight only, uncongested areas, away from airports. Every line is a Part 103 rule rendered as hardware. Build it any other way and it stops being an ultralight, which means type certification, which means five years and nine figures before you ship a single unit.
Joby has been at it since 2009. Archer since 2018. Combined they have raised over $4 billion building certified eVTOLs. Neither has carried a paying passenger.
Jetson started shipping in 2024. Sold out through 2026. Deliveries pushed to 2027. Palmer Luckey took the first production unit. MrBeast flew one down the California coast.
The whole point of buying a Jetson is the permission slip that comes with it.
Everything else is just hardware.
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I just built a Claude Code SEO agent that replaces your $200/mo. Ahrefs subscription 🤯
One prompt → keyword gaps found, competitors analyzed, content written in your brand voice, rankings tracked weekly.
All inside Claude Code.
Perfect for DTC brands and agencies who know SEO matters but never have the bandwidth to actually do it consistently.
If your SEO workflow looks like this — log into Ahrefs once a month, export a CSV, skim it for 5 minutes, close the tab, tell yourself you'll write that blog post next week, never do...
This agent runs the entire loop for you:
→ Connects to Google Search Console and pulls your real ranking data
→ Finds your "gap zone" — keywords sitting at positions 5-20, one article away from page 1
→ Uses Apify to scrape who's outranking you and breaks down exactly why they're winning
→ Interviews you once about your brand, customers, and positioning — then never asks again
→ Writes content in your voice — not generic AI slop that tanks after 90 days
→ Tracks rankings weekly and feeds what's working back into the next cycle
→ Optimizes your product listings for AI shopping — so you show up when someone asks ChatGPT for a recommendation, not just Google
No $200/month tools you open once and forget.
No freelancers writing content that sounds like everyone else.
No manually checking rankings and forgetting to act on it.
What you get:
- Keyword cards with a specific action recommendation for each gap zone opportunity
- A competitive breakdown — who's beating you and the exact fix for each keyword
- A weekly content plan generated from your real GSC data
- A brand voice profile Claude uses for every article it writes
- Product listing optimization for AI shopping (ChatGPT, Gemini, Perplexity) — the new SEO nobody's doing yet
Built 100% in Claude Code with Google Search Console.
I put together a full playbook with the skill files, brand interview, and the exact weekly workflow.
Want it for free?
> Like this post
> Comment "SEO"
And I'll send it over (must be following @learnwithella so I can DM)
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I run my linkedin ads with @openclaw for $0/month 😱
here's the system to get real buyers (not bad leads):
step 1: read the account
→ ingests csv exports OR pulls the @LinkedIn marketing api directly
→ campaigns, creatives, lead forms, spend. all of it.
→ no dashboard. just the raw truth of what's happening in the account.
step 2: calls out fake noise
→ that "efficient" campaign pulling vendors and students? flagged.
→ high-CTR post pulling people who will never buy? flagged.
→ everything tied to real crm outcomes, not platform vanity metrics.
step 3: grade buyer quality
→ maps every lead against ICP fit, intent, and sales-readiness
→ the cheapest lead is usually the worst lead. the kit knows the difference
→ cross-references crm notes so sales quality compounds every run
step 4: find the leaks
→ good ad + generic form = lost conversation.
→ surfaces every break between audience, offer, form, crm, and handoff.
→ tells you which leak is costing the most. not "ctr went up 12%"
step 5: score thought leader posts
→ likes ≠ buyers. ranks posts on ICP fit, buyer pain, trust, organic signal
→ drafts the sponsored creative. OR a launch packet if the api's gated
→ no more paying to boost posts that went viral with the wrong audience
step 6: draft safe moves
→ pause, budget update, activate draft. every action is reversible
→ dry-run first. signed receipt. explicit APPLY confirmation
→ no freehanding your ad account
step 7: compound the memory
→ every brief writes back to learnings md
→ which offers create quality. which voices deserve spend. what never to repeat
→ multi-brand by default. no cross-contamination between projects
input: linkedin ads exports (or oauth) + lead data + crm notes
output: daily buyer-quality brief + reviewable drafts + brand memory that compounds
linkedin ads agencies charge $8-15K/mo to manage B2B accounts. this runs the operator loop for $0.
I packaged the entire system as the LinkedIn Ads Kit.
10 claude skills:
- linkedin-ads (core operator loop + daily brief)
- linkedin-api-connect (oauth, account discovery, api health)
- linkedin-ads-apply (safe drafts, dry run, audit trail)
- buyer-quality-audit (real buyers vs. fake lead volume)
- lead-quality-mapper (fit, intent, sales-readiness per lead)
- offer-angle-diagnoser (is the offer strong enough for linkedin)
- thought-leader-ad-selector (score posts, draft creative or packet)
- form-friction-review (fix lead forms for quality, not volume)
- pipeline-brief-writer (executive brief from the findings)
- sales-handoff (context so sales knows why the lead converted)
also works with @openclaw, hermes (@nousresearch) codex or any agent
giving it away free.
comment BUYERS + like + follow
(must follow so i can DM)
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I started a podcast to interview healthcare innovators. Expected gatekeeping.
Got the opposite. People building peptide clinics, GLP-1 protocols, next-gen treatments picked up the phone and shared everything.
The people actually changing healthcare want MORE people in the conversation. Not fewer.
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@AlexHormozi This is why I only interview healthcare founders who are actually in the trenches building. Not consultants who read about it. The gap between theory and execution in healthcare right now is massive.
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Just had a fascinating call with a pool service owner in Phoenix making $38K/month.
No website redesign. No SEO agency. No Facebook ads.
Something felt off so I asked what changed 6 months ago.
His answer: "Some kid wrote a blog post comparing pool companies in Phoenix and put us at the top. Now ChatGPT recommends us for everything."
That's it. ONE comparison article written by a freelancer for $250.
It shows up when someone asks any AI: "best pool service in Phoenix," "pool cleaning prices Phoenix," "weekly pool maintenance near me"
6 months later, he's getting 40+ calls/month from people who say "ChatGPT told me to call you"
He didn't even know what LLM citations were.
The craziest part? His competitors STILL don't know why they're losing.
This is the arbitrage window. It won't last forever.
Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)

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HE SHOWED HIS GIRLFRIEND A TERMINAL AT 4AM AND IT WAS ALREADY UP $11,400 WHILE HE SLEPT.
Claude scanned 86 million trades, found the whales that never lose, and built a bot that just keeps printing.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'Claude'
2. Like and Retweet this post
3. Follow me
@ZayvenKnox
(so i can DM you)
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