Dadoum Labs

We help you create GTM Strategies you can ship 
and empower your teams to scale fast.

1️⃣ AI Trainings for Mid-Market/Enterprise companies (EN/FR) 

We run hands-on AI trainings and workshops for companies. 
We tailor the experience to the company's AI reality and real world challenges.
Teams leave with actionable assets and a new mindset.

Trusted by: Conseil de l'IA & du Numérique, L'Oréal, Zeliq, IGN France, Station Numixs...

2️⃣ AI-powered Go to Market Strategy for B2B
We design allbound GTM strateges that combine inbound proof with outbound speed.

Get 5x content output in 60 days, x2 reply rates on targeted outreach.

Trusted by: La Growth Machine, Giro Music, Taiyo, Activators, Ascend Group...

Founder | Making AI work for your business

The Product Buildcamp

We help product teams go from idea to a real product with AI in a single weekend.

We compress the entire product loop into 48h using AI tools:
problem validation, 
Market & user research
strategy, 
scoping, 
AI MVP building, 
delivery, 
GTM, 
business planning 

so teams leave with something strangers will actually pay for.

- Cofounded the event series with Javier & Impostor PM.
- Co-designed the curriculum, 
- Wrote and animated the workshops
- Handpicked the tools and prompts to use
- Handle the partnerships
- Ran the outbound campaigns

The Product buildcamp #1 - Lisbon
- 20 attendees
- 5 teams
- 5 ⭐️ reviews
- 5 partners: Replit, Elevenlabs, Synthetic Users, Productized, Critical techworks

DM if you want to bring it to your city.

Co-Founder & Trainer

Buska 🔍

Keep track of every mention of your Brand online.  Convert social mentions to leads

Built it from idea to #3 Product of the Day on Product Hunt in 45 days

Co-Founder & Product Manager

Schoolab | Mission-driven company

I guide entrepreneurs on their Go To Market Strategy and how to build their Minimum Viable Product more effectively

1️⃣ PERQO
- Workshop lectures " MVP: from idea to clients" 
- Coaching  sessions: 6 months with an entrepreneur

2️⃣ Station NUMIXS
- 
- AI Conference : " Find more clients using AI"  
- Workshop lectures : " MVP: from idea to clients"  
- Workshop lectures : " MVP: build a Go To Market Strategy"  

-----
🔍 What is Schoolab?
Schoolab is an innovation studio where creativity, entrepreneurship, and education come together to create impact.

Coach & Lecturer - AI Go To Market & MVP for entrepreneurs

The Product Courier

84% of CPOs consider mastering AI as a crucial skill for Product Managers in the next 3 years. 

We built this community to share quality resources to help Product Teams leverage AI in the work 

- Curated library of prompts 
- Tutorials for Use Cases
- Slack Community 
- Videos and tips 
- Weekly Newsletter
...

Join us and learn to work smarter.

Co-Founder

lemlist

We help businesses and lead Agencies start conversations with their prospects 
thanks to ultra-personalization at scale.

Product Manager

lempire

Descriptif
Working to make the core product - lemlist - even better by leveraging AI to bring the most value to customers : 
- make the right bets on my scope 
- deliver value to users & to the Company 
- collect and analyze feedbacks through continuous user feedback loops
- monitor product KPIs and take Data informed decisions 
- work closely within the Building Trio and align with all stakeholders in squads
- Participate in the refinement of the Product Strategy
- Define and Coordinate Go To Market Launch strategies

Noé

🚙  I worked for a month for @Blablacar, on the following Roadmap problem : « How to increase the success trip rate for newbie drivers ? »

🎯 Product strategy and problem framing :
 - Data (Excel, SQL, Python) on Blablacar Datasets
 - Data Analyse of 10K App Reviews,
 - User research (25 User Interviews)

🥇 I Prioritized problems based on impact on chosen metrics, and tech cost ( MoSCoW)

🤖 I Prototyped (Figma) and iterated on 3 solutions with the highest impact on the KPI relevant to our problem

📝 Covered specs (Jira), delivery processes with the Lead Dev & defined a Rollout strategy

🖥️ Final Presentation to Kevin Aguiri, Senior PM @Blablacar and Guillaume Parra, Product Designer @Blablacar

Product Manager @Blablacar 🚙

Credit Du Nord - Société Générale Group

I was Branch Manager and Startup Advisor for the Bank : 
- I worked closely with 250 Startups on their financial needs
- I managed 2 Startup Advisors
- I sharpened my Product Sense by studying > 200 business models of Startups looking for a loan
- I became an Expert on the French Startup Ecosystem 
- I managed Partnerships for our clients (Incubators, Tech Lawyers, Brokers, VC ...)
- I analysed and validated Post Seed  (> 700K€) & Post A Series loans
- We managed Capital Deposits and Capital increases within 3 working days ✅
➡️ PNB YtoY : 140 % ✅

Manager - Startup Advisor

Banque BCP - BPCE Group

I was Responsible for Refining and structuring the services and products dedicated to SMB and Corporate Clients.

I led the following missions: 

🎯 Discovery: Define the Target audience and SMB persona through extensive market research, data analysis and client interviews

🎯 Product Strategy & Roadmap prioritization 

🎯 Delivery and Product Launch of several products :
- Employee Savings : ✅ Sales x 50
- Loan Guaranteed by State - PGE : ✅ Creation and launch within 2 weeks  ✅ XXX M€ loans
- E-Commerce solutions : Launch of 3 complementary solutions (Contactless, BNPL, E commerce)
- PSD2 Solutions : successful delivery (Roadmap, QA testing, rollout plan) of secured authentication services

- Coordination / Budget and Planning of technical dev. with the IT Team
- Product Team Management

🎯 Product Marketing : 
- Coordinating the Product Roadmap and Communication roadmap 
-  Drafting the "message" for each product
-  Creating the internal supports (sales Decks, Documentation, Trainings, FAQ ...) 
-  Creating the external supports (Webpage, Sales Ads, Print...) 

🎯 Internal Products 
- I led the redesign of the validation process for product launches : creating validation flows in Teams
✅ reduced the validation time X2

Head of Product - Small & Medium Businesses

I help B2B Startups take their products from idea to revenue in weeks not months | Fractional Product Growth & B2B GTM Expert 🛠️ | Get a free 1:1 audit ☎️ | Founder of Buska.io 🔍

AI won’t replace your team. 
But companies who know how to use AI will leave yours behind.

In the past 2 years consulting for B2B companies, I have seen numerous teams waste time and money on “AI initiatives”: 
- Theoretical trainings that employees would never use in their job.
- AI feature pilots because of FOMO but with no real impact on revenue. 
- Testing AI platforms for Go-To-Market with scattered actions and no strategy.

I decided to do things differently and built a hands-on approach to grow with AI. 

Today, I train mid-market/enterprise teams to use AI for real work : 
-> tailored workshops and sessions built around the company's needs. 
No hype, no generic demos — just hands-on learning and assets your team can use the next day.

🫶🏻 Join companies like Le Conseil de l'Intelligence Artificielle, LOréal, Numixs, Zeliq....

For founders and SaaS leaders want to go further, I step in as a consultant to design their AI-powered GTM strategy:
I help craft an actionable plan, show them how to find buying signals, personalize outreach, and build a repeatable process to get more clients fast.

🫶🏻 La GrowthMachine, Taiyo, Ascend, or Giro Music trusted us to boost their growth. 

**How I help**

Hands-on AI Training (EN/FR): 0.5–2 day workshops using your real cases and tools. 
Teams leave with assets, not just notes.

AI-Powered GTM Sprints (5 weeks): We build the strategy and growth engine, messaging, and a runbook your team can run with.

What drives me?
I want to see companies grow their business with AI, not talk about it.
I get a kick out of seeing people go from “not sure where to start” to “here’s how we’ll win the market.”

If you’re done experimenting and want real results, let’s talk.
👉🏻 https://cal.com/tonidossantos/audit

Toni Dos Santos

The new Nano Banana Pro is live 🍌
It is a big step-up from Google’s own image tools. 
And it crushes the competition 🤯

Here’s what's new:
-> Perfect text rendering(no more broken letters)
-> Consistent characters across frames
-> Amazing infographics straight from text
-> Higher scene accuracy (what you describe is what you get)
-> Production-ready decks and carousels
-> Flexible ratios/styles without weird cropping
-> More realistic physics and looks.

All of it runs on Gemini 3.0 Pro.
Just like its new vibe-coding capabilities, image creation now feels 
less like “prompting a model” 
and more like directing a creative team.

If you work with AI visuals and want more control, and stronger outputs, 
this new Nano Banana just changed the baseline.

-------
Want actionable tips to use AI for Product & Marketing? 
Join me on Vibe Product Marketing for weekly tutorials

Make AI Work for Your Business | AI powered GTM strategy you can ship | AI enablement for teams

nana Banana Pro

Google Gemini 3 is out. 
You are no longer limited by design or code. 
You are limited by YOUR clarity.

Gemini 3 is announced as the next gen AI model. 
It introduces a new level of "Generative UI" capabilities.
This exposes something uncomfortable:
- If you can describe it, it will build it.
- If you cannot describe it clearly, no AI will save you.

That will  the new split between slow teams and fast teams.

I ran 3 prompts to test it in seconds: 
- Flappy Bird clone → playable
- Interactive 100M Offer guide → shared
- Newsletter landing page → live & beautiful 

All worked on the first try.
The constraint is no longer talent.
It is articulation.

Teams who think clearly will outship teams with 5x more resources.
If you want a new edge, sharpen the prompt.
The model will handle the rest.

Clarity compounds.
-----
What will you build?

Gemini 3 is out

Zaqlick

Chief Executive Officer

Adlega

Contractor

Salesforce Consultant

TRADEBYTE

Operational Excellence and Efficiency Team Leader

Knauf IT 

Salesforce Project Manager

Deloitte Digital

Senior Consultant

EPAM Systems GmbH

Salesforce.com Consultant/Product Owner

Project Manager

Building startups

I’ve started three companies, survived two pivots, and bailed countless founders out of spreadsheet purgatory.

Today, I’m the CEO of Adlega, a SaaS runway‑planning platform trusted by 1,200+ founders to model cash burn in under 90 minutes. Nights and weekends, I’m building Zaqlick, a “first‑mile” discovery layer that lets early‑stage teams chat with AI personas trained on real market data (think Reddit rants, competitor reviews, and support tickets). You ask, they answer, and your next customer interview starts miles deeper.

Why build both? I’ve wasted months guessing what users really cared about. The result: half‑built features, burned runway, and an inbox full of polite maybes. Adlega keeps the money math honest; Zaqlick flips the discovery script so you ship with confidence, or kill the idea early and save the coffee budget.

What lights me up:
- Digging through messy, unstructured data and surfacing non‑obvious opportunities.
- Translating growth metrics into plain‑English roadmaps.
- Swapping war stories with builders who still have more questions than answers.

Track record:
- Bootstrapped Adlega, now powering runway models for 1,200+ founders worldwide.
- Former CMO who turned a flat‑lining freemium app into a $2.4 M ARR engine in 18 months.
- Kellogg‑WHU EMBA (because numbers + narrative > numbers alone).

Let’s talk!
If you’re an indie hacker, accelerator grad, or curious VC who thinks discovery and finance should be equally data‑driven - DM me or join the Zaqlick waitlist 👉 zaqlick.com.

Elena Tsemirava

Startup lingo 101: 
 
-> Bootstrapped? Profit-making for the win.
-> Serial founder? More like, 'I can't hold a job'.
-> Big data: Brow furrows when it crosses 10GB.
-> AI? Basically, some good ol' linear regression.
-> Crushing it: The classy way to say 'barely making it'.
-> Automated? Just folks working their magic on Fiverr.
-> Visionary? Sounds like someone's feeling high and mighty.
-> Organic growth? Fancy talk for 'Google ads are draining my budget'.

Elena Tsemirava, MBA

Founder @ Zaqlick - AI-Enhanced User Research | 15+ yrs insight & marketing | I help PMs and Agencies run realistic AI focus groups to pressure-test concepts, journeys & messaging

𝗗𝗼𝗻’𝘁 𝗴𝗲𝘁 𝗳𝗼𝗼𝗹𝗲𝗱! 𝗡𝗼𝘁 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗵𝗲𝗮𝗿 𝗮𝗯𝗼𝘂𝘁 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗶𝘀 𝘁𝗿𝘂𝗲.

Everyone keeps repeating the same advice about how many interviews you “need”… but it’s outdated, slow, and usually wrong.

Watch this video before you schedule another interview. 

It breaks down the hidden mistake almost every team makes, and how to avoid wasting weeks talking to the wrong people.

🎥 𝗩𝗶𝗱𝗲𝗼 𝗯𝗲𝗹𝗼𝘄.

Rejections sting, but they're also your most honest feedback from the real world.

It is a critical topic about adequately assessing one's own competence in almost all areas of life!  

Life, work, business, and personal have one common element: constant judgment. 

Thumbs up or down, it's inevitable. 

The fear of a negative response is natural! 

This judgment is the only thing that can be called honest feedback from the real world. 

That's why there should be multiple attempts to get a verdict!

In startups, rejections are an integral part of all processes: any kind of outreach or, for example, applying to accelerators. Applying to a hundred accelerators is the best way to test yourself in the role of a founder. 

And rejections in personal life? Everyone here has plenty of their own examples!

Let's talk probabilities because understanding probabilities helps to accept rejections adequately:

 🎯  Getting into @Y-Combinator after Stanford is 1-2%. 

🤷‍♀️ And for us, international female founders - much less than 1%. 

At the same time, I often see messages like "We applied. We think they will admit us!"

Some only face reality from time to time, like job interviews. 

Dwell in an illusionary world, lose touch with competency. 

The more reality checks, the better the resilience and probability of success.

What to do? 

Enter competitions, write stellar posts, apply for jobs, launch small projects and try to sell (painful but worthy), and write innumerable emails seeking meaningful interactions. It's monitoring your competency outside the illusionary bubble.

My approach: rejection or ignorance is the default state. That is, this is the expected result of my contact with reality. Then, there are no worries about rejections. And if someone becomes interested - here is a reason to rejoice!  

Remember: Most life actions, particularly the ones that matter, have conversion rates lesser than 3%. 

Especially those that are particularly important to us! 

Let's call them "steps to the dream". 

Therefore, the most important thing is not to stop pouring your attempts into the funnel. 

Even with 1% odds, dreams do come true! 🤞

Most people think AI focus groups replace human research.

Wrong.

They amplify it.

I've run 200+ sessions now, and here's what I've learned:

• AI crushes it at scale and speed. You can test 50 variations in the time it takes to schedule one human interview.

But human intuition? That's where the magic happens.

Algorithms miss the pauses. The hesitations. The "wait, actually..." moments that completely flip your understanding.

They can't read the room when someone's being polite vs. genuinely excited.

The best insights don't come from choosing one or the other.

They come from layering both.

Here's my process:

1. Use AI to pressure-test ideas fast
2. Identify patterns and outliers
3. Validate with real users on the edges

AI tells you what. Humans tell you why.

AI finds the signal. Humans add the context.

Stop treating them as competitors. Start treating them as collaborators.

The companies winning right now aren't picking sides.

They're using AI to move faster and humans to move smarter.

I got my second resignation email before 9 am yesterday.

Saturday morning at 6:37, I was deep in spreadsheets while everyone else slept in.

By 3pm, I'd made 17 decisions. Big ones. Small ones. All on me.

The angry customer email? That's mine to handle.

Payroll's due Thursday. The bank balance isn't quite there yet.

Sunday afternoon and I can't switch off. My brain's still running scenarios.

This is the part they don't show you in the "entrepreneur lifestyle" posts.

No applause. No celebration. Just you and the weight of it all.

The highlight reels make it look easy.

They skip the sleepless nights and the constant pressure.

They forget to mention you're the first one blamed and the last one paid.

I love what I do. I wouldn't trade it.

But let's be real about what it actually takes.

Starting a business isn't for everyone.

And that's perfectly okay.

If you're in it, you already know.

If you're thinking about it, make sure you know what you're signing up for.

Because the reality hits different than the dream.

If you feel stuck, it’s rarely a motivation problem

It’s the quiet panic of not knowing which move will cost you the least regret.
 
Most people respond to uncertainty by doing 𝘮𝘰𝘳𝘦.  

• More tasks
• More features
• More meetings
• More “research”
 
But fog doesn’t clear with activity.  

Fog clears when you force reality to answer 𝗼𝗻𝗲 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻
 
Here’s the trap:  

If you can’t say what would change your mind, you’re not deciding, you’re hoping.
 
What decision are you avoiding right now?

What 47 SaaS founders told us about their biggest pricing mistake:

𝟲𝟴% 𝗮𝗱𝗺𝗶𝘁𝘁𝗲𝗱 𝘁𝗵𝗲𝘆 𝘂𝗻𝗱𝗲𝗿𝗽𝗿𝗶𝗰𝗲𝗱 𝗶𝗻 𝘆𝗲𝗮𝗿 𝗼𝗻𝗲.

Why? They were "scared to ask for more."

The average time to first price increase? 𝟭𝟴 𝗺𝗼𝗻𝘁𝗵𝘀.

They all agreed: 12 months too late.

Most painful lesson learned:

"Free trials without qualification attracted tire-kickers, not buyers".

One B2B founder told us:

"I thought $49/mo was safe. Turns out, cheap pricing attracted cheap customers who churned fast".

Another shared:

"We doubled our price and lost 20% of signups, but revenue went up 60%. Should've done it sooner".

The pattern is clear.

𝗨𝗻𝗱𝗲𝗿𝗽𝗿𝗶𝗰𝗶𝗻𝗴 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗽𝗿𝗼𝘁𝗲𝗰𝘁 𝘆𝗼𝘂.

It attracts the wrong customers. Creates churn. And leaves money on the table.

Your pricing signals your value.

Price too low and you're telling the market you're not worth much.

Price confidently, and you attract buyers who see the value.

The founders who raised their prices early? They're the ones who scaled faster.

If you want help auditing your investor narrative, DM me.

What is the best price for my SaaS?

The best SaaS price is the one your customer complains about but still pays.

I've been analyzing hundreds of founder pain points.

And one pattern keeps showing up.

"Incorrect pricing" gets flagged constantly.

But here's what's really happening:

Founders aren't struggling with execution.

They're paralyzed by fear.

Two fears, specifically:

1. Charging too much and losing customers
2. Leaving money on the table

So they procrastinate.

They launch with "placeholder pricing."
They copy competitors without thinking.
They avoid the conversation entirely.

Until revenue forces them to care.

But by then?

They've already left thousands on the table.

Or worse, trained customers to expect low prices.

Here's what I discovered:

Most pricing tools give you qualitative data.

Surveys. Interviews. Competitor analysis.

All helpful.

But founders don't just need opinions.

They need numbers.

Quantitative modeling is the missing link.

What if you could see:

• Exact price points that maximize revenue
• How small changes impact your bottom line
• Which pricing tier drives the most growth

Not guesses.

Not best practices from another industry.

Actual data for your business.

The gap between qualitative insights and quantitative decisions?

That's where founders get stuck.

And that's where the real opportunity is.

Have you struggled with pricing your product?

I'd love to hear what made it click for you.

We tore up our own customer personas.

Best decision we ever made.

We thought we knew our customer: "Young founder. Likes tech. Wants to build ideas."

But that was too broad.

So we decided to test our own medicine. We ran our "ideal customer" through our own tool, Zaqlick.

We analyzed 1,522 public conversations from across the web.

We didn't look at age or job titles. We looked for 𝗽𝗮𝗶𝗻.

We found something surprising.

Our "one customer" was actually four different people:
𝟭. 𝗧𝗵𝗲 𝗪𝗮𝗻𝗱𝗲𝗿𝗲𝗿𝘀 (𝗣𝗮𝗶𝗻: 𝟳.𝟭/𝟭𝟬) They can't find their first user. They feel stuck. They will pay anything for help.
𝟮. 𝗧𝗵𝗲 𝗖𝘆𝗰𝗹𝗲-𝗕𝗿𝗲𝗮𝗸𝗲𝗿𝘀 (𝗣𝗮𝗶𝗻: 𝟲.𝟱/𝟭𝟬) They change their mind every few weeks. They are scared of running out of money.
𝟯. 𝗧𝗵𝗲 𝗡𝗶𝗰𝗵𝗲-𝗦𝗲𝗲𝗸𝗲𝗿𝘀 (𝗣𝗮𝗶𝗻: 𝟮.𝟵/𝟭𝟬) They are exploring 3 ideas at once. They want quick answers. They won't pay much.
𝟰. 𝗧𝗵𝗲 𝗣𝗶𝗼𝗻𝗲𝗲𝗿𝘀 (𝗣𝗮𝗶𝗻: 𝟯.𝟱/𝟭𝟬) They just need help picking an idea.

See the gap?

There is a huge difference between a pain score of 7 and a pain score of 2.

Here is the hard truth we learned:
-> Only 5% of the people had real, "bleeding" pain.
-> But that 5% is willing to pay 5x more than everyone else.

We were planning to build features for everyone. Which meant we were pleasing no one.

So we made a scary choice.

We killed half our planned features.

We rebuilt the roadmap just for 𝗧𝗵𝗲 𝗪𝗮𝗻𝗱𝗲𝗿𝗲𝗿𝘀 and 𝗧𝗵𝗲 𝗖𝘆𝗰𝗹𝗲-𝗕𝗿𝗲𝗮𝗸𝗲𝗿𝘀.
The results?

• We cut our roadmap in half.
• We saved 3 months of wasted dev time.
• We finally knew exactly what to build first.

The lesson is simple.

Don't group people by age or company size.

Group them by: "How badly does this hurt?"

A customer with low pain won't buy. A customer with high pain will.

Build only for the people who need you the most.

𝗣.𝗦. 𝗪𝗮𝗻𝘁 𝘁𝗼 𝘀𝗲𝗲 𝘄𝗵𝗶𝗰𝗵 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗮𝗿𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗯𝗹𝗲𝗲𝗱𝗶𝗻𝗴? 𝗪𝗲 𝗼𝗽𝗲𝗻 𝘁𝗵𝗲 𝗱𝗼𝗼𝗿𝘀 𝗶𝗻 𝟮 𝘄𝗲𝗲𝗸𝘀. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝘄𝗮𝗶𝘁𝗹𝗶𝘀𝘁 𝗵𝗲𝗿𝗲: 𝗵𝘁𝘁𝗽𝘀://𝘇𝗮𝗾𝗹𝗶𝗰𝗸.𝗰𝗼𝗺

CB Insights says "no market demand" kills more startups than anything else.

I wanted to know why.

So I spent 3 months analyzing 5,000+ Reddit posts from founders who failed.

Here's what I found:

Most founders can build. They just can't validate.

-> They're Googling competitors at 2am.
-> Scrolling Twitter for customer pain points.
-> Asking friends if their idea "sounds good."

Meanwhile, their enterprise competitors are using $15k tools like Klue and Crayon.

The gap isn't skill. It's access.

I kept seeing the same pattern in those Reddit posts:

"Spent 6 months building. No one wanted it."
"Thought there was demand. I was wrong."
"Wish I'd validated before I quit my job."

These founders didn't lack talent or work ethic.

They lacked the tools to answer one question: Does anyone actually want this?

That's the problem I'm solving.

Market intelligence shouldn't cost $15k.

It shouldn't be locked behind enterprise sales calls.

Every founder deserves to validate their ideas before betting everything on them.

What's your validation process? I'd love to hear what's working for you.

We're watching the largest boom in micro-companies in history.

• 1-10 person businesses generating real cash.
• Serving tiny, passionate communities.
• Operating with leverage that used to need massive teams.

Organic social. AI. Tools that actually work.

The shift isn't just economic.

It's psychological.

Once people realize they can earn a meaningful living building something tiny and strange for a community they actually understand, everything changes.

Ambition looks different.
Lifestyle choices shift.
Career arcs stop being linear.

Even "success" gets redefined.

Some people will build two or three of these.
Some will build twenty.
Some will build one that accidentally scales big.

You can feel it happening right now.

An increasing number of people quietly opting out of traditional paths.

Choosing to build a life around small companies that actually work.

The infrastructure finally exists.
The playbook is getting clearer.
The barriers are gone.

What used to require venture capital and huge teams now requires clarity, leverage, and understanding your people.

The companies winning tomorrow won't be the biggest.

They'll be the ones that fit perfectly into spaces no one else bothered to look.

What 83 customer support tickets revealed about our product's real problem.

71% weren't about bugs.

They were about one confusing feature label.

Users spent an average of 8 minutes searching for a button that was "hidden" in plain sight.

The fix took 20 minutes. We'd been losing users for 6 months over it.

Real quote from a user: "I thought the 'workspace' tab was just for admins. I didn't know I could use it too."

Another wrote: "I almost cancelled because I couldn't figure out how to invite my team. Turns out it was right there—I just didn't see it."

Here's what changed everything for us:

We stopped treating support tickets as noise and started treating them as product research.

We tagged every ticket by theme. Patterns emerged fast.

The "workspace" label implied hierarchy. Users assumed it wasn't for them.

We renamed it to "team hub" and added a tooltip. Tickets dropped 68% in two weeks.

Your support queue is telling you exactly what's broken. Most teams just aren't listening.

If you're pre-product-market fit, your support data is gold. It shows you where users get stuck, what language confuses them, and what's blocking activation.

Start tagging your tickets today. Look for patterns. Fix the top 3 friction points.

You'll save more users than any new feature ever could.

Nobody tells you the truth in a focus group.

Not because they're lying.

But because they're being watched.

• The pauses before answering.
• The contradictions in their stories.
• The shift in tone when something hits close to home.

Traditional focus groups miss this.

Because the moment someone knows they're being watched, they edit themselves.

• They give you the "right" answer.
• The polite version.
• The one that makes them look good.

AI focus groups changed this.

• No moderator staring at them.
• No group pressure to conform.
• No fear of judgment.

Just honest reactions captured in real time.

You see the hesitation before they admit what they really think.

You catch the contradiction between what they say they want and what they actually choose.

You notice the emotional shift when a question touches something real.

This is where the learning happens.

Not in the rehearsed responses.
Not in the surface-level feedback.

But in the unfiltered moments people don't even realize they're revealing.

The observer effect disappears.

And suddenly, you're not just hearing what people think you want to hear.

You're seeing what they actually feel.

That's the difference between data and insight.

Between asking questions and understanding people.

The best research doesn't just collect answers.

It captures the truth people don't know how to say.

𝗔𝗜-𝗺𝗼𝗱𝗲𝗿𝗮𝘁𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝘄𝗶𝗹𝗹 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵.

People keep repeating this.

Then you open Reddit and see a researcher who “tested all the tools” - 
𝗯𝘂𝘁 𝗼𝗻𝗹𝘆 𝘁𝗵𝗲 𝗳𝗿𝗲𝗲 𝘁𝗶𝗲𝗿𝘀 𝗮𝗻𝗱 𝗱𝗲𝗺𝗼𝘀 - 
and walks away, declaring the entire category useless.

Let’s be honest: free AI tiers are 𝘯𝘰𝘵 the product.

Free versions use:
• throttled context
• cheaper models
• minimal logic
• no memory
• no guardrails
• watered-down prompting
• laggy avatars slapped on top of a chat window
  
Of course, it feels like a toy. It 𝘪𝘴 a toy.

But here’s the twist:
Even the paid versions - the real thing - are aiming at the wrong target.

They’re trying to 𝗶𝗺𝗶𝘁𝗮𝘁𝗲 𝗹𝗶𝘃𝗲 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀, when the true leverage of AI isn’t in 𝘮𝘰𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯.

It’s in the 𝗳𝗶𝗿𝘀𝘁 𝗺𝗶𝗹𝗲 - the part of research where teams are blind, unprepared, and guessing.

Real researchers know this:
You don’t get insight from the 𝘤𝘰𝘯𝘷𝘦𝘳𝘴𝘢𝘵𝘪𝘰𝘯. You get insight from the 𝗱𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻, the context, the assumptions, the weak signals, and the patterns you notice before the conversation even starts.

AI is insanely good at that. Better than humans, even:

• surfacing hidden pains
• analyzing thousands of posts
• clustering signals
• stress-testing a value prop
• pointing to blind spots
• preparing a team for the real interview
• turning chaos into shape
  
This is where AI should live. Not pretending to be a moderator with a synthetic face and a 2-second latency.

And yes, the Reddit post is right about one thing:

𝗔𝗜 𝘄𝗼𝗻’𝘁 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗿𝗲𝗮𝗹 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗮𝗻𝘆𝘁𝗶𝗺𝗲 𝘀𝗼𝗼𝗻. 

But it 𝘸𝘪𝘭𝘭 replace bad surveys and blind discovery.

The future of research isn’t “AI acting like a human.” 

The future is 𝗵𝘂𝗺𝗮𝗻𝘀 𝘄𝗮𝗹𝗸𝗶𝗻𝗴 𝗶𝗻𝘁𝗼 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗸𝗻𝗼𝘄𝗶𝗻𝗴 𝟴𝟬% 𝗼𝗳 𝘄𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 — 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗔𝗜 𝗿𝗲𝘃𝗲𝗮𝗹𝗲𝗱 𝘁𝗵𝗲 𝘁𝗲𝗿𝗿𝗮𝗶𝗻.

That’s the shift. That’s the leverage. That’s the part nobody is building for yet.

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Talks about #plg, #saasmetrics, #startupsales, #startupsuccess, and #entrepreneurialfinance

𝗠𝗼𝘀𝘁 𝗦𝗮𝗮𝗦 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗱𝗼𝗻'𝘁 𝗵𝗮𝘃𝗲 𝗮𝗻 𝗠𝗩𝗣 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. 

They have a 𝗿𝗲𝗮𝗹𝗶𝘁𝘆 𝗽𝗿𝗼𝗯𝗹𝗲𝗺.

I saw a Reddit thread where a dev studio asked:

"SaaS founders, what's your biggest bottleneck in getting to MVP? Co-founder? Features? Budget? Validation?"

The answers were brutal.

The real bottleneck? 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗽𝗮𝗿𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘄𝗵𝗮𝘁 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝗳𝗶𝗿𝘀𝘁.

Founders are building from imagination, not from 10 real conversations.

𝗟𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗶𝘀 𝗲𝗮𝘀𝘆. 
𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗵𝗼 𝗰𝗮𝗿𝗲 𝗶𝘀 𝗵𝗮𝗿𝗱.

One founder nailed it:
"Once I stopped guessing and started listening, the path to MVP became obvious. The rest (co-founders, budget, features) were excuses, not blockers."

Most MVPs aren't "too small." 

They're 𝘁𝗼𝗼 𝗱𝗶𝘀𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗳𝗿𝗼𝗺 𝗿𝗲𝗮𝗹𝗶𝘁𝘆.

So founders compensate:

➡️ Add features because they're scared of looking stupid
➡️ Polish UI to avoid honest feedback
➡️ Obsess over tech stack because it's safer than talking to users

Then wonder why a "finished" MVP can't hold 10 users.

Your bottleneck isn't code. 

‼️ It's 𝗰𝗼𝗻𝘁𝗮𝗰𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁.

Talk to 10–20 real people before you obsess over your backlog. 

And if that feels impossible, overwhelming, or slow - 𝘂𝘀𝗲 𝗔𝗜 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝘀 𝘁𝗼 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝗴𝗮𝗽.

Not to 𝘳𝘦𝘱𝘭𝘢𝘤𝘦 real interviews. But to:

🌟 surface real pains from real data
🌟 test your assumptions fast
🌟 stress-test your landing page or pitch
🌟 clarify your direction before you talk to anyone

AI personas won’t give you product-market fit. 

But they will kill the fog that keeps you stuck.

If you can’t get clarity from conversations, whether human or AI-augmented, no amount of tickets in Jira will save you.

MVP isn't "the first version of your product."

It's 𝗽𝗿𝗼𝗼𝗳 that someone actually wants what you're building.

And today, you can get to that proof a lot faster.

-- 👋 Hey, I’m Elena (Mira) Tesmirava.
I’m building Zaqlick, your AI-powered cofounder for customer discovery.

If you're tired of guessing what users want, I share teardown threads, battle-tested frameworks, and behind-the-scenes from building Zaqlick.

Follow me for smart, scrappy ways to validate faster.

And join the waitlist to chat with your future customers before you build. (Link in bio)

There are two kinds of progress, and they look identical at first.

One gives you relief today. 

The other saves you months of regret.
 
Most people chase 𝗯𝘂𝘀𝘆 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀.
 
Because it feels like control:  more tasks, more meetings, more input, more “alignment”.
 
But busy progress has a hidden cost:  you can spend a whole week moving… without moving 𝘧𝘰𝘳𝘸𝘢𝘳𝘥.
 
Clear progress is different.
 
• Busy: “We’re doing a lot”  
• Clear: “We’re making one bet.
 
• Busy: more input
• Clear: one question that matters
 
• Busy: opinions
• Clear: signals
 
• Busy: meetings
• Clear: one owner + one test
 
• Busy: “we learned”  
• Clear: “we changed a decision”
 
If it doesn’t change a decision, it’s not progress.  

It’s just motion that feels responsible.
 
𝗦𝗮𝘃𝗲 𝘁𝗵𝗶𝘀 𝗳𝗼𝗿 𝘁𝗵𝗲 𝘄𝗲𝗲𝗸 𝘆𝗼𝘂 𝗳𝗲𝗲𝗹 𝗼𝘃𝗲𝗿𝘄𝗵𝗲𝗹𝗺𝗲𝗱.

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