GTM for Early Stage SaaS | Co-founder @ Datapad | SaaS Growth Advisor | Reforge | 1x Exit |

I’m a marketer, 2x entrepreneur with 1x exit, and helped companies to go from 0 to 8 figures.

My achievements:

- Built 2 VC backed startups with one exit

- Built a 7 figure productized marketing agency

- Became a mentor in top accelerators such as: 500, Plug and Play, Techstars

- Got to work with the portfolio companies of amazing investors such as A16z, Craft Ventures, YC

- Built a podcast with 20k downloads in a year-figure

- Transformed my body more times than Christian Bale ☺️

John Ozuysal

Hiring Alert: I am looking for a GTM engineer (contactor)

This is not a client-facing role; you will not be running campaigns for clients, but you will be helping me run internal fun experiments. No middleman, just 1-1 with me.

You have to be good at: Clay, Smartlead, Instantly, Trigify, etc...

Your main responsibility will be to run internal campaigns with me to test different offers

Most importantly, you should be able to catch up with my tempo :) 

I will be in Dubai for the next couple of months, and ideally, you should be in a similar time zone.

If you want to learn from someone who has built and exited SaaS companies and scaled agencies to 7 figures, DM me and I will send you more info.

Generate Pipeline from AI Search | 1x Exit

I would rather start LinkedIn commenting as a service, rather than content writing.

I am not sure if it’s just me but comments are getting much better engagement then posts.

Even my mum is not seeing my posts anymore 😀

Every time I open LinkedIn, I see less expertise and more theatrics. 

And now it is all boosted around the clock.

-People “proving” AI search visibility by posting… their Google Search Console
 
- Others claiming they “ranked in AI in 14 days,” but all they show is a Google SERP and a couple of AI overview citations

 - Tombstone hobbyists declaring a new marketing channel dead every single week

 - Creators making cringy YouTube skits hoping it magically turns them into experts

 - Founders flexing “10M ARR in 5 months” — in what currency, nobody knows

 -Endless fake social proof screenshots that fall apart the moment you zoom in

 And now… boosted posts from these same people flooding our feeds 24 hours a day

For anyone who understands basic marketing, LinkedIn has become a loop of fake promises, fake authority, and zero practical value.

The platform used to be where real operators shared what actually works.

Now it's mostly noise amplified with ad spend.

Is it just me feeling like this ?

Here is the 4-week plan I would follow to get AEO visibility in 4 weeks

👇

I can't say that I cracked the code, I think no one can but below is the plan I am using the get results fast

👉 Grab the full play here for FREE: https://tally.so/r/jaDPl9

WEEK 1: IDENTIFY LOW-HANGING FRUITS

First, we identified the high-intent prompts that we should go after. We found several Reddit threads being cited. We created content on these threads and pushed our comments up for more visibility.

We initially started with 4 Reddit threads.

WEEK 2:UPDATE EXISTING PAGES

We updated some of the BOFU pages to make sure that the content is optimized for Google and AI search engines.

Pages were terribly structured, so we did rewrites first ( if the team is reading, sorry, but you know I mentioned this before we started to work )

After the rewrite, our updates were focused on:

- Adding data and statistics

- Query fan-out optimization 

- Entity optimization under every H2 

- Adding fresh information (recency is very important for AI)

- Tables for product comparison

WEEK 3: 5 HIGH INTENT PAGES

2 alternative pages against their top competitors ( we like to start with vanilla alternatives content, and we verticalize the alternatives articles by creating them for each persona)

2 three-way comparison articles

We also did a competitor pricing review article ( this one actually landed us a demo with a big enterprise co. They did not book a demo, but we identified the visitor and reached out )

WEEK 4: OFF-SITE MENTIONS

- We worked on repurposing our 2 pieces of BOFU content and uploaded them to YouTube. 

- Secured 3 mentions where LLMs were citing the source

- Added 4 more Reddit mentions - we are using Scrunch to keep track of threads that are influencing the prompts we are going after

-----

👉 Grab the full play here for FREE: https://tally.so/r/jaDPl9

I am looking for a GTM engineer a part-time or project basis

This is not a client-facing role; you will not be running campaigns for clients, but you will be helping me run internal fun experiments

You have to be good at: Clay, Smartlead, Instantly, Trigify, etc...

Most importantly, you should be able to catch up with my tempo :)

A solo marketer asked me last week:

"How am I supposed to compete with companies that have entire content teams when it comes to AI search?"

Fair question.

She's one person. Her competitor has 12 people cranking out content.

But here's what I told her:

You're not trying to out-content them. You're trying to out-smart them.

And there's a shortcut nobody's talking about.

It starts with one simple question: What do people type into ChatGPT right before they're ready to buy?

Not "what is project management software."

More like "Asana vs Monday vs ClickUp for marketing teams."

Those comparison prompts? That's where buying decisions happen.

And if you're not in that answer, someone else is controlling your narrative.

So here's the play for small teams:

Step 1: Find the high intent prompts. The "vs" searches. The "alternative to" queries. The ones that signal someone's actually evaluating options.

Step 2: Write those comparison pages. Not fluff. Real perspective. Own your positioning before your competitors do it for you.

Step 3: Drop those prompts into a visibility tracking tool. It'll show you which Reddit threads are influencing those AI answers.

Step 4: Go to those subreddits. Add value. Answer questions. Build credibility in the exact places AI is pulling answers from.

That's it.

You're not trying to rank for everything. You're showing up in the 5-10 prompts that actually drive revenue.

Big teams are still playing the old game. Writing hundreds of blog posts. 

Chasing traffic.

Small teams who get this? They're winning the prompts that matter.

You don't need more content. You need better positioning in the right answers.

Generate Pipeline from AI Search | Founder @ House of Growth | 1x Exit

Listicles help with getting AI search visibility or no?

Here is the research 👇

Ahrefs have just done and published a research piece on AEO that all of us knew but couldn't prove:

Self-promotional listicles (best X software/agencies) are one of the best ways, if not the best way, to be the #1 recommendation spot for a solution comparison.

According to Glen Allsopp's research that analyzed 26,283 source URLs on AI search:- “Best X” blog lists represented 43.8% of all page types.

- Placing higher on multiple comparison lists likely increases your chances of being recommended by ChatGPT (which is why I've started doing outreach to get mentions).

- Across 1,100 blog lists used as research sources, 79.1% were updated in 2025 (which only confirms how important content freshness is).AI search for SaaS brands and agencies, put in the most simple way possible, consists of 3 core pillars:- Owned content, which covers comparison guides, where you explain what makes you the #1 option in the industry or for a specific use case.

- Mentions, which covers having visibility on other comparison lists, review platforms (e.g., Clutch and G2), and community forums like Reddit.

- Content freshness, which I think is AI search engine's ''sanity check'' if your content is outdated or recent.Here are a few examples of owned content:

- Top 10 [Competitor] Alternatives For ITSM In 2026.

- Top 10 Project Management Software For Start-Ups In 2026.

- 10 Best Marketing Agencies In Dubai For SaaS Brands In 2026.

And then positioning your solution or service as the #1 choice, clearly explaining why, and then covering other competitors in the space.

Glen's research also found something I have been thinking about for some time but could not prove:''35% of cited best lists were published on low authority domains.''Start-ups and low domain authority domains CAN WIN in AI search, and should not be scared of competing against established players on the market.

This research confirms the trends we have been seeing with the portfolio companies of House of Growth - AEO Agency

Link to research under comments

We helped Juma close 6-figure deals from AI search

Get the playbook for free (no need to comment) 👇

This is the same playbook we used to create a pipeline for all of our clients. You can take it and implement it in your business straight away.

Our AEO playbook includes:

- Everything we know about AI models' recommendation algorithms

- Differences between Google and AI search behavior 

- How to ensure models can properly access and read your content

- Best practices to get recommended on AI models (including brand mentions, BOFU content creation, and more)

- Real examples of content that works (and what fails)

👉Grab the playbook from here:https://tally.so/r/jaDPl9

Reading too many SaaS trends and predictions by people who have built or worked inside a SaaS company 😅 

I don't understand why people try to fake authority to gain likes.

Don't listen to everything you see here. Always rely on your own playbooks and keep testing!

Warmly, ($5m +ARR ) generates ~25% of its pipeline from AI search.

We have been running their SEO / AEO, and here is the playbook 👇


1. What we've been doing so far: Large-scale BOFU content creation:

- Competitor alternatives content: [Competitor] Alternatives
- Category keywords: Best [Category] Software
- 3-way comparisons: [Competitor] vs. [Competitor] vs. Warmly
- Pricing guides: [Competitor] Pricing (These guides work wonders for competitors that do not disclose their pricing on their website).

Covering the same competitors in these 4 formats allows us to build what I call competitor topical authority to help us rank better for competitor-related keywords.

Plus 

I am still a big fan of focusing on "information gain score," so we always aim to create content with more relevant information than competing pages.

2. What we've been focusing on in Q3 2025: 

Vertical comparisons + Reputation management/building + Adding schema markup + Updating BOFU pages that rank lower than position #3 on Google

VERTICAL COMPARISONS

Focusing on creating highly-specific BOFU content for certain ICPs (e.g., marketing agencies).

Example: [Competitor] Alternatives for Marketing Agencies. 

I know this does not have a reasonable search demand to go after it. But our big bet here is that users are going to provide context about their solutions when evaluating alternatives and solutions on the market.

Especially when using ChatGPT's ''Deep Research'' I've seen from user interviews (yes, I actually ask people we work with to share their prompts) that they share information about their industry or profession so they can get a more tailored answer.

Hence, why we're going to give them the answer to what is the best competitor alternative is for each persona we go after

REPUTATION MANAGEMENT & BUILDING

With OpenAI making deals with Reddit and mentioning Quora or other media publishers in its sources section, we cannot sit idle and expect people to happily discuss us.

This is why we'll be doubling down on these 4 channels

- Reddit.
- Quora.
- YouTube.
- Media publishers.

The goal will be to get mentioned there and explain what makes us stand out from our competitors.

SCHEMA MARKUP

We're planning on implementing schema markup on our website on our existing and future content to better explain our organization and product to both Google and AI search engines.

CONTENT FRESHNESS

After a bit of experimenting, I've noticed that AI search engines really like to favor fresh, up-to-date content that's been updated recently.

The same goes for Google nowadays as well. The more we update our content and keep up with the latest information (e.g., updated pricing, new features, new competitors), the more likely crawlers are to pick up our content and recommend it.

Here is why SaaS companies losing clients to competitors on AI search

Your competitor just taught ChatGPT what to say about you.

And you weren't even in the room.

Here's what happened:

Last week, a prospect searched "best email marketing tools" in ChatGPT. Your product didn't show up. Your competitor's did.

Not because their product is better.

Because they own the pages about their category and competitor review content. You didn't.

I see this constantly with early stage B2B SaaS. They spend six figures on ads and PR, then wonder why AI is recommending their competitors.

The answer is brutal: you left the door open.

LLMs are scraping everything right now. Every product page. Every comparison chart. Every "X vs Y" article on your site (or your competitor's site).

If you're not publishing this content, you're not in the conversation.

Here's what you should do:

Write a "best [category] tools" article

Create comparison pages for every competitor. 

Don't forget to add three-way comparisons, too

Done? Go and turn these into videos and publish on YT as well.

Because if you don't explain what you do and how you are different than competitors, someone else will write that and control the narrative.

It's about being present when the buying decision happens.

My clients start seeing traffic from AI sources within weeks. Not months. Weeks.

The best part? Your competitors probably aren't doing this yet. They're still waiting for someone to write about them.

Control your narrative, or watch someone else write it for you

Stop letting your competitors control the narratives inside ChatGPT

👇

ChatGPT isn’t "hallucinating" about your SaaS. It’s improvising because your website is a ghost town. You are not training AI with your own story.

Here’s the harsh reality:

LLMs are prediction engines. When you leave gaps in your digital footprint, the models fill them with whatever they can find: competitor comparison pages, angry Reddit threads, or 3-year-old press releases.

If you want to control the narrative in the age of AEO (Answer Engine Optimization), you need to spoon-feed the models.

You need to move beyond marketing fluff and build a "Source of Truth" architecture.

Here are the 3 types of pages I would build today:

- About us: Make sure that it's very clear on what your company is doing, who is your ideal ICP etc. Avoid using fancy language to impress your investors.

- Comparison pages: Control the narrative by owning the comparison-related queries. If you don't do this, someone else will do it, and AI will spit out the wrong information about your company.

- Integrations page: People don't just search "best project management software anymore; they search " best project management software with integrations to x". It's time to surface your integration docs and make them visible to search

If you don't provide the language, the model will generate its own. And I guarantee you won't like the version it writes.

I watched a $50M company disappear from AI search in 90 days.

Not because they got penalized. Not because their SEO team quit.

They just hit pause.

Three months later, their biggest competitor owned every ChatGPT answer in their category.

The company that paused? They're still trying to catch up.

And here's the part that keeps me up at night:

They thought pausing was the safe move. Budget cuts. Uncertain ROI. Let's wait and see.

But in AI search, there is no neutral.

Every day you're not feeding the machine, your competitor is.

Every article they publish trains ChatGPT to recognize THEM as the authority.

Every brand mention compounds their lead.

Every Reddit thread you miss is an opportunity for a competitor

And the gap doesn't just grow. It accelerates.

Because freshness wins now. And whoever shows up consistently becomes the default answer.

Your buyers only used Google to start their searches, not that they are switching to LLMs

And if you're not in that conversation, you don't exist.

Standing still isn't playing it safe. It's surrender.

The companies winning right now aren't the ones with the biggest budgets.

They're the ones who understood 6 months ago that AI search isn't coming.

It's already here.

Your competitors are guessing AI search prompts. You could just ask.

Here is how 👇

No tool is going to hand you the exact prompts your customers are typing into search.

But you can figure it out without paying for a single piece of software.

Looking back, my best keyword ideas did not come from keyword research tools. 

They came from customer interviews and simply asking, “How did you find us?”

Right now, everyone is trying to hack their way into uncovering the most valuable LLM search prompts.

Go back to the fundamentals.

Here is what I tell my own companies:

 1️⃣ Ask every new customer if they found you through an AI search engine.
 2️⃣ If yes, ask exactly how their search started.
 3️⃣ Repeat this for your last 100 prospects.

You will start spotting patterns and those patterns are your high intent prompts.

Once you have that list, track your visibility for those prompts and work to win those spots.

This is how I am doing it. You should try it before your competitors figure it

Restartt

Co-founded Restartt to build the next-generation full-stack GTM agency for B2B SaaS. Designed to serve Series A and later-stage companies, Restartt combines strategy, execution, and experimentation to accelerate pipeline generation. With a deep focus on the acquisition growth loop, the agency helps some of the world's fastest-growing SaaS companies operationalize and scale their marketing, brand, and growth functions with speed and precision.

Co-Founder

Minuttia

Founded Minuttia from scratch and grew it into one of the most respected content marketing agencies for B2B SaaS. At its peak, the agency was doing 7 figures in ARR and employed a team of 20–25 people. We’ve worked with 40+ SaaS companies, including ServiceTitan, Toggl, Docebo, Sitecore, Guru, and NordVPN, many backed by investors like Sequoia, Accel, and Bessemer.

Founder

GrowthWaves

Created GrowthWaves to share deep, practical ideas on how B2B companies grow. The newsletter is read by operators and marketers at companies like Amazon, Spotify, Canva, HubSpot, Ahrefs, ServiceTitan, and Wix, serving over 5,000 readers and growing. All content is based on tested ideas and lessons from growing, advising, and studying SaaS companies.

Reforge

Working with Reforge to create content for their community of operators. This includes tools, templates, and webinars based on what works in B2B SaaS growth, drawn from years of experimentation and relentless execution, not theory.

Creator

Attio

Collaborating with Attio as part of their Creators Network to produce insightful, hands-on content that showcases advanced use cases and workflows in modern CRM systems. Focused on creating actionable examples and tutorials that help B2B professionals streamline their GTM processes using Attio's powerful, intuitive UI. The work emphasizes practical applications of relational databases, automation, and collaborative CRM design tailored for high-performing go-to-market teams.

RankBee.ai

Invested in RankBee.ai, a company building software that helps brands track and optimize visibility across AI models like ChatGPT, Google Gemini, Grok, and Claude. This represents a new category of marketing software—often referred to as GEO (Generative Engine Optimization). Unlike traditional SEO, GEO focuses on visibility within AI search environments, which are becoming a distinct part of the buyer journey. As AI search gains adoption, tools like RankBee are helping companies understand and improve how their brand shows up in these new search interfaces.

Angel Investor

George Chasiotis

Working directly with SaaS founders and teams on go-to-market (GTM). Also invest in early-stage SaaS companies and support them with strategic input across product, GTM, marketing, and growth. This work is grounded in firsthand experience—from scaling Minuttia to advising companies across different categories and growth stages.

GrowthMentor

Served as a growth mentor on GrowthMentor’s expert platform, advising early- to mid-stage B2B SaaS founders and marketers on growth strategy. While managing Minuttia full-time, I offered hands-on guidance in focused mentorship sessions, helping companies navigate challenges and opportunities across various GTM motions.

Growth Mentor

The SaaS SEO Show

Hosted 100+ in-depth interviews with leading figures in the SEO industry, including Rand Fishkin, Kevin Indig, and other influential voices shaping organic growth in B2B SaaS. The show attracted thousands of downloads and built a dedicated audience of SEO practitioners, growth marketers, and founders from top-tier SaaS companies worldwide. Focused on uncovering actionable insights, frameworks, and stories behind successful SEO strategies, the show became a trusted resource for those building organic growth engines in competitive markets.

Host

LearnWorlds

Advised LearnWorlds on building and scaling their organic growth engine from the ground up. Worked closely with their team to develop and implement SEO strategy, optimize content operations, and troubleshoot technical growth bottlenecks. Also provided strategic guidance on improving their acquisition growth loop, including conversion rate optimization initiatives. During this collaboration, LearnWorlds achieved over 50% growth in organic visibility, contributing to a stronger inbound pipeline and sustainable, compounding growth.

Growth Advisor

Hey there 👋

I'm George, and here's the (super) short version of my story:

- Built a 7-figure content marketing agency for SaaS companies
- Worked with 40+ leading SaaS companies such as ServiceTitan, Toggl, Docebo, Sitecore, Guru, and NordVPN
- Helped portfolio companies of renowned investors such as Sequoia, Accel, and Bessemer Ventures
- Built and managed a team of 20-25 people
- Built a newsletter on B2B growth with 5,000+ readers
- Featured in 50+ media outlets such as ProductLed, Growth Unhinged, Reforge, and Superpath
- Angel invested in 1 SaaS startup

What you'll get by following me?

- Behind the scenes of running my companies
- Actionable tips on how to grow a successful B2B company
- No-fluff advice that's based on experiments and things I try out myself

How to work with me?

1) Full-stack Growth Agency: Visit https://restartt.ai/ and request an intro call
2) Content Marketing Agency: Visit minuttia.com/lets-talk/ and submit a form request
3) Newsletter: Visit growthwaves.com and sign up for free
4) Speaking and Angel Investment Requests: Visit georgechasiotis.com and submit a form request

We’ve been refining our prospecting process at Minuttia.

Here’s how it currently looks:

Step 1 — Identify target accounts (Clay)
Step 2 — Identify core use cases (Clay’s Claygent)
Step 3 — Turn use cases into keywords (Ahrefs and Semrush)
Step 4 — Turn keywords into prompts (Profound and Minuttia's tool)
Step 5 — Create a prospect project in Profound (Profound)
Step 6 — Create a personalized video walkthrough (Loom)
Step 7 — Add accounts to LinkedIn outreach sequence (HeyReach.io)
Step 8 — Add new deal to CRM (Attio)

The process isn’t rocket science. But we lead with value, bring in data, and focus on things companies actually care about.

According to a survey of 195 GTM leaders:

“51% plan to increase their investment in AI search. In contrast, only 14% plan to invest more in SEO.”

As Charlie Munger said: “We’re fishing where the fish are.”

And we’re constantly iterating based on what we learn.

Of course, turning a new deal into a closed deal is its own challenge. And even after that, the pressure is on to deliver results, fast.

But I have full confidence in Minuttia - AEO Agency’s team to execute, especially under the leadership of Zacharias Xiroudakis.

Founder at Minuttia // B2B SaaS Growth // Views are my own

What bothers me about most of the advice on how to win in AI search is that it’s essentially SEO, plus brand and a great product, disguised as the marketing innovation of the century. I don’t think overcomplicating things benefits anyone.

I joined LinkedIn about 9 years ago and started posting shortly after. Things were slow at first, but the algorithm was much more rewarding back then, regardless of my follower count. Or the fact that I was relatively unknown, had no connections, no story to tell, and not much to share.

The first couple of years were basically trial, error, and learning. Eventually, I think I “cracked the code” and like many other creators and business owners, I started to benefit from the platform. Of course, I wasn’t always consistent—just like most people running businesses and using content as a growth lever.

All in all, LinkedIn has been good to me. I’ve generated revenue, spoken at events, gained visibility, and even made a few good friends along the way. And for that, I’m grateful.

LinkedIn has been a place where opinions meet, ideas are shared, and opportunities come out of the blue.

But lately, things look a bit different. The feed is full of irrelevant company ads, “thought leaders” boosting their posts to the wrong audiences, bragging, inaccurate information from creators with *too much* influence, and audiences that rarely push back, and spam messages from folks trying to sell anything you can imagine.

But that’s not even the worst part. Because unless you pay (read: thought leader ads) or participate in tactics like engagement pods, you often feel close to invisible on the platform.

You’ve seen the posts. People reach out to LinkedIn to ask if they’re shadowbanned. I’ve done that too, by the way. Even mega-influencers (for the context of LinkedIn) with large audiences have started complaining, which shows that this touches everyone. People are already talking about “de-risking” and “building on other platforms” to avoid keeping all their eggs in one basket.

The thing is: we put a lot of effort into this content. And most of us know our audiences really well. We obviously do it because of the incentive, which is different for every person (for me, it’s the things I mentioned above). But if the incentive isn’t there, people will look for alternatives sooner or later. Many already do.

And that’s not good for LinkedIn—or for the people who mostly consume content here—because many of the best creators will eventually move elsewhere.

I really hope the team at LinkedIn listens to its users—the people who keep the platform alive by putting in all these hours to create great content and engage here—and take action that benefits both its business and those of us who are trying to build real businesses and personal brands with the help of LinkedIn.

Creators, users, and LinkedIn all win when the best content actually has a chance to be seen.

I built a small tool that turns keywords into high-quality AI prompts.

Sure, plenty of AI trackers already do this (just not very well).

So I built something custom for Minuttia - AEO Agency’s team and clients.

The logic is simple. You plug in:

a) The keywords you want to generate prompts for
b) Your website for context
c) The number of prompts you want to generate per keyword (max. 5)
d) A description of your brand
e) A short description of your target audience

Every prompt gets a search-intent label, based on Minuttia’s internal intent framework.

You can copy all prompts—or just the best ones—and start tracking right away.

No “comment to get the link” for this one.

You can take it for a spin here: https://lnkd.in/d28zAJCt

(Please don’t burn all my Lovable credits and engage so that more people can find it 🙏)

While reviewing citations from ChatGPT, Perplexity, and AI Overviews for one of Minuttia - AEO Agency’s clients, I noticed something interesting.

The most frequently cited pages seem to fall into two categories:

1 — Pages that explain the company and its product capabilities. Think: buyer's guides or walkthroughs on how to complete a specific task using the product's features.

2 — Pages offering unique insights or proprietary data from customers. For example, a report focused on a market segment the company knows deeply.

Of course, this isn’t statistically significant—it’s based on a single client, not a broad dataset.

#2 isn’t exactly surprising. Proprietary data and customer insights often get cited in AI search because of their uniqueness.

But #1 is worth paying closer attention to. Even though the general notion is that you shouldn’t be overly promotional or avoid talking about yourself, talking about yourself (in the proper context) may actually drive visibility.

There are many ways to do that—buyer guides, feature-driven use cases, alternative listicles, comparison pieces, and software roundups. All ways to talk about yourself (without overdoing it).

Staying unbiased is tough, but it’s possible. And based on this example, it’s probably worth the effort. 

Again, not statistically significant. Just an observation that might help shape your content strategy in an AI-driven search world.

I’m genuinely impressed by Parallel’s search API. (no affiliation)

So much so, we built an internal tool on top of it.

Here’s how it works:

1 — Add a topic you’re interested in (e.g., OKRs)
2 — Describe what you're looking for (in plain language)
3 — Parallel Web Systems finds the most relevant and recent sources
4 — Sources are qualified using one of OpenAI’s older, cheaper models
5 — You get a curated list of sources to use in your content

Building tools on top of high-quality APIs—with flexible, pay-as-you-go pricing instead of overpriced subscriptions—is how modern applications will be built.

It makes work more enjoyable and productive, while keeping costs down—always tied to usage, which is a solid proxy for customer value.

Some of my biggest business mistakes came from going brand-first instead of business-first. The logo, the website, the color palette. Get some customers, serve them, and build a couple of case studies. You have a business. Then you can build a brand on top of it.

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