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most great companies have a person people are rooting for. as a founder, your goal for personal brand should be to be that person
in 2026 you're not separate from the brand. you are the brand.
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Brett Erik
41.7K posts
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Unsubscribes aren't the enemy - appealing to everyone is.
Chase and Jimmy explain why bold brands intentionally lose the wrong people, keep their core engaged, and why self-selection builds better businesses than playing it safe ever will.
@yojimmykim @ecomchasedimond
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@_JoshuaSEO If you can build in that chaos, you can build anywhere
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Thought I was good at time management before becoming a dad.
Turns out I had no idea what time management actually meant.
The difference isn't just having less time. It's having zero control over when that time gets interrupted.
You can't schedule a 2am feed. You can't block calendar time for a nappy emergency. You can't reschedule when your kid decides sleep is optional tonight.
Now I understand why parents who run successful businesses operate on a different level. They learned to execute without control, without predictability, without full nights of sleep.
If you can build something meaningful while a tiny human randomly decides your priorities every few hours, you can build through anything.
Time management advice hits different when you're actually managing time you don't control.
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B2B founder content cycle I see every month:
Month 1: "LinkedIn content doesn't work for B2B."
Month 2: Tries cold email.
Month 3: Tries paid ads.
Month 4: Tries cold calling.
Month 5: "Why isn't anything working?"
None of these work in 4 weeks.
They all work in 12 months.
Pick one. Run it for a year.
THEN judge.
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@MarketingMax Depth in one channel beats surface-level across many
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You don’t need a “marketing person”
You need a Facebook ad specialist
You need an SEO writer specialist
You need an IG DM specialist
You need a CRO specialist
You need a specialist
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@markdmei Most brands are sitting on revenue they already paid for
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One welcome flow did $200K for a brand in the last 30 days.
Email 1 of that flow alone drove more than $90,000 of that all by itself.
Nothing else on the account changed that month.
It was the EXACT same list, with identical traffic, and the same product pages as the month before.
The reason:
We made the welcome flow MORE than just a thank-you receipt with a coupon stapled on.
This is what most brands do though.
Then they scale ad spend for months trying to add that kind of revenue....
And waste it all away with a low quality welcome sequence.
Our flow took an afternoon to build. It's been sitting in Klaviyo printing money every day since.
The money was already in the backend.
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One year ago, Smartlead sent me a plaque.
Top 1 percentile of their 87,000 users.
When I posted about it, a bunch of people commented saying they'd received the top 5 percentile award.
Top 5 percentile out of 87,000 is already remarkable.
Top 1 percentile is what happens when:
• You spend more time on list quality than list volume
• You maintain backup infra and proactively monitor deliverability
• You match offers to verticals instead of running one offer across six
• You refresh scripts while retaining winning angles
• You don't just hope that sending volume will get results for clients
We didn't get there with fancy AI personalization or first-line tricks.
We got there by reaching out to the right people with the right message.
Most operators try to get clever before they get the fundamentals right.
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Everyone who doesn't know what to do with their life studies business in college.
(I know because I did it)
Here's what that degree did NOT teach me:
• How to cold DM African YC founders
• How to hire high quality talent from North Macedonia via Sales Navigator
• How to pivot an agency three times without quitting
• How to automate 60% of a sales team's workload with three tools
The common theme?
NONE of this could’ve been learned in a classroom.
Everything that actually works in B2B, I learned by actually doing it.
The degree is pretty much a waste of 3-4 years of your life.
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@evanseech Better to control the research phase than leave it to chance
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My team and I audit a few dozen ad accounts every week.
(from $150/day → $5k/day)
The no. 1 problem we’re seeing with clients running ads right now:
TRUST.
It is the most NECESSARY ingredient if you want strangers to hand you $15k+ from a FB Ad.
E.g.
Imagine someone selling day trading education online. You’re not trusting them with your money immediately.
Not in today’s day and age.
So if you’re in a niche where there’s distrust, there needs to be an IMMENSE amount of trust building and educating BEFORE the sales call.
They're going to research you anyway.
You may as well control that process.
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I’ve used content to generate hundreds of millions in pipeline.
But the game has changed...
In 2022:
• Little/no founder or team visibility
• Content disconnected from outbound/sales
• No systematic brand-building to amplify demand
• Corporate-only posts: events, holidays, product announcements
In 2026:
• Founder & team-led content drives visibility & trust
• Personal brands strengthen company brand over time
• High-value, dense insights + workflows/playbooks shared freely
• Content solves problems upfront → fuels warmer outreach & better pipeline
B2B brands treating content as a trust-builder are the ones dominating in 2026.
There's no way around it.
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I’ve run GTM for 100s of B2B companies.
The most successful ones ALL had this 6-stage GTM Flywheel:
(each stage feeds the next)
1. Traffic Generation:
- content (LinkedIn, X, YouTube, newsletter, podcast, blog)
- ads (LinkedIn, Google, Meta)
- outbound (cold email, LinkedIn DMs, cold calls)
- partnerships (referrals, integrations, affiliate)
2. Lead Capture:
- gated content downloads
- meeting forms
- webinar attendees
- outbound replies
- product signups
- TAM mapping
- intent signals
3. Lead Nurturing:
- SDR touchpoints
- retargeting ads
- newsletter
- community
- webinars
- email flows
4. Conversion:
- video demo
- testimonials
- case studies
- product marketing
- resources
- free tools
5. Qualification:
- two paths
- free trial for self-serve or meeting booked for sales-assisted
6. Retention & Expansion:
- close the deal
- then expand the account
PS
I wrote a FULL guide that goes over step-by-step exactly how to implement this flywheel.
Comment “GTM” and I’ll DM it to you.
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@AnandButani @GoodfireAI Being able to actually see why AI makes mistakes is a game changer
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🧠 what if you could crack open an AI model and see why it screws up?
A San Francisco company called @GoodfireAI launched something called Silico.
It's the first off-the-shelf tool that lets you peer inside a large language model — the AI behind ChatGPT — and tweak how it works while it's being trained.
Until now, training an AI was mostly guesswork.
You'd feed it data, run it for weeks, and hope the thing that came out behaved.
If it didn't, you tweaked the recipe and tried again — like a cook with no thermometer.
Silico changes that.
It lets you zoom into individual "neurons" — the tiny units that make up the model — and see what each one is doing.
Here's how weird that gets in practice.
In the open-source Qwen 3 model, researchers found one neuron that frames every moral question as a trolley-problem-style dilemma.
In another test, models kept insisting 9.11 is bigger than 9.9.
The reason was strange.
Some neurons had been trained on Bible verses, where chapter 9.11 comes after 9.9.
Others learned from code repositories, where version 9.11 follows 9.9.
Those neurons were quietly drowning out basic math.
You can also flip behavior on demand.
In one experiment, boosting "transparency" neurons made a model own up to its own deception nine times out of ten — when the default version refused.
This used to be research only happening inside @AnthropicAI, @OpenAI, and @GoogleDeepMind.
@MIT just named the broader field one of its 10 Breakthrough Technologies of 2026.
Goodfire wants to hand that same power to smaller teams who can't afford to hire interpretability specialists.
Not everyone is sold on the framing.
A researcher at the University of Amsterdam pushed back: "In reality, they are adding precision to the alchemy."
Translation: we still don't fully understand how these models think.
Silico just gives us a sharper microscope.
But that microscope matters.
The thing to remember: AI is moving from "we built it and hope it works" to "we built it and can prove why it works."
That shift will shape every rule, lawsuit, and safety debate of the next decade.
What's one AI mistake you'd want to debug at the neuron level?
#AI #AISafety #PlainEnglishAI #LLMs #TechExplained
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@ecomchasedimond Nailing the first touchpoints makes everything else easier
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Most ecommerce brands obsess over campaigns and ignore the flows that quietly do most of the work.
Here are 5 email flow rules you need to know:
→ Send your welcome email instantly with no delay
→ Treat cart abandonment email one like the entire flow
→ Educate buyers before you cross-sell in post-purchase
→ Loosen your browse abandonment trigger to a single product view
→ Replace win-back discounts with a "did we lose you?" message
Bookmark this.
Chase Dimond | Email Marketing Nerd 📧@ecomchasedimond
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@sufyanmaan The smoother the workflow, the faster ideas turn into output
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I’m using Luma AI to build visuals for my newsletter campaign.
Not because I need more AI output.
Try HERE: lumalabs.ai/sufyanmaanmeng
Because I need less creative friction.
That’s the real problem with creative work right now. At least what I am facing.
One idea starts in a note.
Then it moves to a google doc.
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Brett Erik retweetledi
harsh reality i've learned on twitter: nobody cares about your idea until they care about you.
distribution isn't really a growth hack, done well, it's trust at scale.
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@ecomchasedimond This kind of tool speeds up learning way more than starting from scratch
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hyperframes.dev is exactly what I've been waiting for.
Making videos with agents is cool. However, seeing how other people make them and then building on that is what actually makes them good.
Check it out:
HeyGen@HeyGen
Video gets better when people share, build together, and learn together hyperframes.dev is live. Browse community projects, download any zip, hand it to your agent or publish yours $ npx hyperframes publish Publish then RT + comment "dev" for credits (must follow)
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@eComEmailMktr Turning complex info into simple visuals is such a smart move
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I started my LinkedIn account roughly 1 year ago.
It has added more than $1,000,000 in value to my businesses. Just the one account.
In that time I've also added more than 17,000 followers.
Here is the exact system I’m using right now with no details left out:
Oh, and if you want my full unfiltered cheat sheet with carousel structures, DM workflows, and my posting system, follow me, repost this, and reply “LinkedIn Growth Guide.”
Let me start with what stays true after a year of daily testing.
Proof-based content still outperforms everything else.
By proof-based I mean posts that literally show a real metric, revenue, traffic, pipeline, booked calls, etc. and then add context with a clear business takeaway.
Use real numbers whenever possible.
Dwell time still plays a major role too.
If people read the entire post, swipe through multiple carousel slides, or pause on video, the post continues circulating longer.
First-hour replies from people outside your immediate network are still one of the strongest distribution signals you can influence.
On-platform formats beat outbound links in almost every case.
Text posts, carousels and native short video outperform link posts on average.
Link posts without setup consistently stall.
That said, a lower-reach link post with strong intent can still outperform in revenue.
Distribution and conversion are different games.
If you include a link, deliver value first and either modify the preview image or drop the link in the comments.
Topic consistency builds on itself over time.
Posting repeatedly around the same core theme strengthens how LinkedIn categorizes your profile.
Your content then gets shown to people already engaging with that topic.
That improves early engagement quality and comment depth.
Cross-niche engagement still expands reach.
Engaging consistently in two to three adjacent industries pushes your profile into overlapping networks.
Generic likes do almost nothing.
Thoughtful comments that add insight create second-level engagement and extend reach.
Reposting with a new hook still works extremely well.
Most of your followers never saw the original post.
Repost after one to three weeks with a sharper angle, updated numbers, or a clearer outcome.
Posts with replies to replies stay alive longer.
Multi-layer comment threads can extend post lifespan by days compared to shallow discussions.
My posting schedule has not changed.
I post three times per day, every day.
Morning is proof-driven or a strong point of view.
Afternoon is a carousel, teardown, or case study.
Evening is a lesson, system breakdown, or actionable walkthrough.
Skipping even one day reduces momentum for the next 24 hours.
Formats performing best right now:
Carousels with a bold first slide tied to a specific outcome or pain point.
Three to six concise slides with steps, visuals, or proof.
A final slide with a clear next step.
Short native videos under 60 seconds with subtitles.
The hook must land in the first two to four seconds.
Walkthrough and behind-the-scenes videos continue outperforming polished talking-head content when the information is concrete and tactical.
What is underperforming:
Link posts with no setup.
Metrics with no narrative.
Large, dense text blocks.
Generic advice that applies to everyone.
Posts where the author disappears after publishing and does not reply in the first hour.
My engagement strategy:
Comment on 20 to 30 posts per day with insight tied directly to the post.
Like 50 or more posts per day.
Reply to every comment on your own posts within the first hour.
DM five to ten people per day with context-first value tied to something they posted.
Ask follow-up questions inside comment threads to deepen discussion.
Repeated engagement from the same people increases future distribution.
Hooks performing best right now:
“This 4-slide carousel booked 5 calls in 24 hours.”
“If I had to rebuild my LinkedIn from zero today, this is the exact system I would use.”
“My 3-post-per-day routine for consistent inbound.”
“I made X this month from LinkedIn. Here is the breakdown.”
Every hook must be backed by proof.
Without proof, credibility drops fast.
Here is a 30-day plan that still works:
Post three times per day with at least one proof-based post.
Comment on 20 to 30 posts daily with substance.
Like 50 or more posts per day.
Reply to every comment within the first hour.
Repost one winner each week with a new angle.
DM five to ten people per day with context-first value.
Track impressions, comment depth, leads, and repeating commenters weekly.
Test hooks, formats, and timing every week.
Run this system for 30 days.
Screenshot your Day 31 results.
Tag me when inbound starts.
If you want the full cheat sheet, follow me, repost this, and reply “LinkedIn Growth Guide.”
You must do all 3 to receive the DM.
Alex Groberman@alexgroberman
I'm genuinely not trying to insult anyone here but... Local businesses are still the slowest to adapt to pretty much anything that can actually help them grow. In one particular case it’s costing them 10s of thousands of dollars every single month. If you’re ignoring all the free traffic + sales you could be getting from ChatGPT and Google right now, you’ll be playing painful catch-up in 2027. Let’s walk through exactly how to fix this without hiring expensive outside help. (Want to know if your site is AI-search ready? Check here: seo-stuff.com/free-audit) Alright, biggest problem first: Google and AI Search both show results based on authority, content and trust. They use different methods, but their core signals overlap. (And SEO Stuff fixes both: seo-stuff.com) For local businesses, that means: You need a Google Business Profile You need Reviews. You need PR and backlinks from locally trusted sites You need brand mentions that reinforce your entity You need NAP consistency across the entire web You need structured, crawlable and up-to-date business information A few proven local authority plays: Partner with complementary local businesses for link swaps Get accredited by the Better Business Bureau Join your local Chamber of Commerce Pitch seasonal tips or cost data to neighborhood blogs and news outlets Submit to high-trust local directories Sponsor school or charity events to earn recap backlinks Get featured in “Best of [City]” and local guides These placements matter more than ever. A fairly large Yext analysis showed that a significant portion of AI citations come from brand-controlled or brand-adjacent sources. That means local publications, directories, and branded pages carry more weight now than ever. If you do not know how to do this, leverage SEO Stuff’s Gold Plan (link in my profile). SEO Stuff’s Gold Plan places links only on sites already surfacing in AI search and already trusted by Google. Check the case studies I posted this week if you want examples. That said, authority alone is not enough. Your Google Business Profile is now one of the strongest combined signals for Google and AI. As of 2026, ChatGPT and Gemini both pull Google Business Profile fields directly into AI Overviews. Recent BrightLocal research confirms that GBP URLs and business sites appear heavily in ChatGPT local answers. Here is a quick GBP optimization checklist: Complete every field Upload at least 100 geo-tagged photos Post weekly updates Add Q and A entries Reply to every review using service and location terms Maintain perfect NAP consistency across directories GBP is now a required foundation for visibility in Maps, AI Overviews, and local ChatGPT recommendations. (Want to know if your site is AI-search ready? Check here: seo-stuff.com/free-audit) Next, build high-quality service and location pages. AI Overviews often surface location pages above the map pack. To earn those placements, you need structured, local, query-aligned content. Every ZIP code and neighborhood page should include: Embedded Google Map Local job photos and staff images Videos FAQ block with exact-match city questions Internal links to main service and contact pages Fast, mobile-first layout Think of each page as an AI-friendly Answer Hub. Now let’s talk reviews. Gemini and Perplexity now pull review text directly into local summaries. That same Yext research confirmed reviews are one of the most common brand-controlled citation sources in AI answers. Here is what you should do: Request reviews via SMS and email immediately after service Feature top reviews on your site and GBP Reply using keywords and location terms Target 150+ reviews per location More reviews create more machine-readable mentions, which increases AI citation likelihood. Next, let’s touch on technical SEO. Google and AI systems both rely on clean, structured, fast, crawlable sites. Slow or broken sites lose both users and AI confidence. Local technical checklist: Core Web Vitals within thresholds Lazy-load images Submit XML sitemaps to Google and Bing Fix broken links and redirect chains Allow AI crawlers Now let’s talk content. Google and ChatGPT both prioritize city-specific, structured content with clear takeaways. Create: “Complete Guide to [Service] in [City]” hub pages ZIP-specific subpages Seasonal posts Cost breakdown posts Local problem and solution posts “How it works in your city” content Always include a TLDR or Key Takeaways section. Perplexity often surfaces these verbatim. Next, drive branded search. Branded search is now one of the strongest signals for both Google and AI. Increasing branded search volume increases entity trust. Ways to lift branded search: CTAs like “Search [Business Name] reviews on Google” Localized customer stories Retargeting ads featuring 5-star reviews City-specific promotions Even a small lift in branded search can dramatically improve AI visibility. Finally, track the right metrics. (Want to know if your site is AI-search ready? Check here: seo-stuff.com/free-audit) Traffic means nothing if it does not turn into calls. What to measure: Branded search growth GBP views, calls, and direction requests AI Overview and ChatGPT citation coverage Review growth and keyword usage Conversion rates on service pages Off-site brand mentions These signals correlate directly with AI citations and local bookings. Most local businesses still: Ignore GBP Have under 50 reviews Have poor technical SEO Publish no city-specific content Which is why they are barely visible in ChatGPT, Perplexity, Gemini and Google AI Overviews today and will not exist in these systems by mid 2026. Follow this roadmap and you will appear where customers are actually searching right now. (Want to know if your site is AI-search ready? Check here: seo-stuff.com/free-audit)
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@SocialtyPro Twitter really is a free university when you curate it right.
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Twitter/X is a FREE UNIVERSITY. But most people don't know!
Here are 10 profiles that will teach you more skills than college 👇
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@SocialtyPro Stack like this can save a ton without losing quality.
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Don't pay for Cursor, use Windsurf
Don't pay for Figma Pro, use Penpot
Don't pay for Envato, use FreePik
Don't pay for Grammarly Premium, use Quillbot
Don't pay for Intercom, use Chatwoot
Don't pay for Webflow, use Framer (Free Tier)
Don't pay for Adobe Illustrator, use Inkscape
Don't pay for Camtasia, use OBS Studio
Don't pay for Monday, use ClickUp
Don't pay for Higgsfield, use Syllaby
Don't pay for Typeform, use Fillout
Don't pay for Zendesk, use Freshdesk
Don't pay for Higgsfield, use Syllaby
Don't pay for Ahrefs, use Ubersuggest
Don't pay for Midjourney, use Flux.1 (via HuggingFace)
(SAVE THIS before it disappears)
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> pov finding this article at 3am:
> one person + these claude prompts
> does the work of an entire SEO agency
> $20/month vs $10k/month cost
> most businesses don't know this exists yet
> bookmark this. seriously. right now. 👇
Sarvesh Shrivastava@bloggersarvesh
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