Helping startups to scale 🦄 ✦ Driving Halo Lab 7 → 8-figures ARR & having fun ✦ Founder with Design in ❤️

I run Design & Tech Agency helping brands become TOP 1%.

✦ $530 M raised + 9-figure exits by client startups 
✦ 500+ projects delivered
✦ 99+ international awards
✦ 4.9 / 5.0 average rating on Clutch from 80+ verified reviews

This is a real impact in numbers.

—

Over the past 15 yrs I’ve been shaping digital products and brands for category‑defining companies — from NOKIA and OPERA to high‑growth SaaS and Web3 start‑ups.

My core focus is design leadership at scale: I enter as a strategic partner, craft a vision, and lead multidisciplinary teams all the way from concept to launch.

—

I specialize in:

⤷  B2B SaaS Product Design | Guiding startups and enterprise spin‑ups from 0 to 1 — turning complex tech into intuitive, emotionally resonant experiences.

⤷  High‑Performance Digital Presence | Building conversion‑focused brand websites that turn first impressions into lasting growth.

—

Have BIG idea in mind?
Contact me directly: inquiry@halo-lab.com

Artem Borysenko

You can hire a designer.

Or you can hire a design brain.

One gives you beautiful screens.
The other gives you a product that thinks.

When you hire a single designer, you get skills.
When you hire a team that works as one brain, you get experience that compounds.

At Halo Lab — Your Digital Partner, our teams don’t work in silos.
The UX researcher sees what frustrates users.
The product designer connects it to business goals.
The UI designer turns it into clarity and trust.
The developer translates it into something fast and functional.

Each person covers a blind spot the others can’t.
And together, they don’t just design, they solve.

That’s the difference between design as a task and design as a system.
Between a pretty interface and a product that scales, converts, and feels effortless to use.

When founders realize this, everything changes:

1. They stop hiring portfolios.
2. They start hiring thinking systems - teams that anticipate problems before they appear, align design with ROI, and build products that last.

If you’re scaling your product, don’t just hire a designer.
Hire a brain that’s trained to think like your users and build like your business depends on it.

Find you team https://bit.ly/49wqB0p

🔔 Follow Artem Borysenko for more updates!

Founder @ Halo Lab ✦ Design & Tech Agency Helping Brands Become TOP 1%

You’ve raised your Series A.

Now you’re proving you can deliver at scale.

And every week of delay costs runway, users, and momentum.
The big question?
Who’s actually going to build this thing?
You have three choices and each comes with a hidden price.

1. The dedicated team.
(Agency/product squad model)
Fastest to launch.
Move as one unit.
Cross-functional by default.
→ Best for: founders who need traction now and can’t afford to spend 3 months hiring.

2. Freelancers.
They’re flexible, affordable, and perfect for low-risk experiments.
But you become the PM, the QA, and the glue holding everything together.
When people churn, rework kills speed.
→ Best for: quick feature spikes or marketing tests, not your core product.

3. In-house team.
The long-term bet.
You get culture, domain memory, and control.
But it’s slow and expensive.
Median SWE comp in the U.S. sits around $187 K/year, and that’s before benefits or churn.
→ Best for: protecting core IP and scaling once product-market fit is locked.

My take? Go hybrid by design.
1. Dedicated team: ship your core product in < 90 days.
2. In-house team: retain knowledge and own the moat.
3. Freelancers: plug niche gaps when speed matters.

Re-evaluate every quarter: velocity, cost per feature, defect rate.
Because at Series A, your biggest risk isn’t cost, it’s time.

✦ At Halo Lab — Your Digital Partner, we help Series A founders scale with dedicated product squads - ready to ship fast, adapt faster, and grow alongside your in-house team.

♻️ Share this to help make a good choice.
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 Dedicated Team vs. Freelancers vs. In-House 

“We need a redesign.”

This is how half of discovery calls begin.

However, 10 minutes into the discussion and it’s obvious - they need a problem statement.

The product is not broken. 
The understanding of the problem is.

Founders say: “Our checkout flow is poor.” 
Users say: “I don’t trust this payment form.”

The difference? One adds a feature. The other builds the right feature.

A good problem statement is not an educated guess.
It’s that moment that your research turns into clarity. 
It translates chaos into focus.

Here is what strong product teams do completely differently:

1. They do not start their process around “what to build.” 
They start their process around “who’s struggling – and why.”

2. They use data and real voices, not assumptions. 

3. They state the problem in a way that the whole team- designer, PM, and CEO can read and ingest in an instant.

When you get the problem right the design almost builds itself.
Your next big UX breakthrough will not come from adding another feature. 
It will come from rewriting the question you are trying to answer.

♻️ Share if it resonates.
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The hardest thing about building an AI product is getting people to trust what it does.

You can create a great model all you want, but as soon as users feel the slightest bit of uncertainty, they are going to ponder, hesitate, and leave.

When founders build trust into the product experience, three things happen fast.

1. Users stop second-guessing and start exploring. First session activation goes up because they understand the what and whys.

2. Every click of trust compounds itself into usage, retention, and upsell. Without trust, the best AI feature will remain unused.

3. You do not have to wait for product market fit to learn how users actually feel. Trust patterns can save you weeks of guessing, and reduce the launch chaos.

4. Transparent UX with design-based trust cuts confusion before it even reaches support. No more "I am left wondering why it said that?" tickets or bad reviews for hallucinations.

Most AI products are built for power. 
The real winners are built for confidence.

✦

At Halo Lab — Your Digital Partner, we help founders design AI products users trust enough to actually use and pay for.
If that’s the stage you’re at, let’s chat.

♻️ Share this to help others build AI products.
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UI for AI products

Most companies still treat a design system as a visual asset.

In reality, it behaves more like infrastructure.

When a design system is used by a company, it can help reduce costs for all the products the company already has. Also, using a design system can reduce the costs of making new products by different teams in the company.

Here’s where the real financial return shows up:

1. Reduction of duplicated efforts across teams.

When multiple teams are rebuilding and recreating similar elements, there are three new associated costs for each team: a new design, a new coded version, and the need for each team to perform QA. With the implementation of a design token system, this cycle is not necessary.

2. Component scalability across product portfolios.

When a company builds a system to support a group of products, they make more money by creating one design and using it many times for all the products in the group. This is why companies have been able to reduce the time it takes to get products to market by 20-40% without adding more staff.

3. Patterns decrease cognitive load and time spent deciding.

Once an organization sets up design patterns to support their onboarding, dashboards, permission systems, navigational structures, and error state designs, teams won't have to argue about the most important design principles. 

4. The cost of change decreases dramatically.

With no design system: A rebrand, accessibility update, or micro-interaction change triggers weeks of redesign and recoding..
With a design system: Update the source → every product updates automatically.

✦

A strong design system improves:

- Time to market.
- Cross-platform trust.
- Developer throughput.
- Conversion and activation.

✦

Build your design system for the next three products you launch. 
You will begin seeing returns on your investment in the early years.

🔔 Follow Artem Borysenko for more updates!

Your product already makes users feel something.

The question is what?

If your users don’t feel the right thing, they won’t do the right thing.
They’ll bounce, hesitate, mistrust, churn.

Over 500+ products, I’ve learned that the best products aren’t the ones with the most features. They’re the ones with the clearest emotional tone.

Every product leans into one of three emotional modes.

1️⃣ Calm → “I feel safe here.”
Perfect for: health, finance, productivity, wellness.
How it’s built: soft palettes, clear language, gentle interactions, no pressure.

2️⃣ Competent → “I trust this.”
Perfect for: SaaS, B2B, dashboards, enterprise.
How it’s built: structured layouts, predictable behavior, strong signals of reliability (performance, clarity, proof).

3️⃣ Empowering → “I can do this.”
Perfect for: fitness, learning, creativity.
How it’s built: energetic visuals, progress celebrations, milestones, personalization.

When the emotional tone doesn’t match the product’s purpose:
1. A data tool feels playful → trust drops.
2. A wellness app feels intense → stress rises.
3. A learning app feels sterile → motivation dies.

Emotion either reduces friction or adds it. 
What to do before your next sprint.

✦ Pick your emotional tone before UI design.
✦ Build it into your design system (colors, spacing, motion, language)
✦ Test the gut reaction early (“How did this flow make you feel?”)
✦ Make sure every new feature reinforces that emotional mode.

We design products that make users feel the right thing.
It’s about building experiences users want to return to.

♻️ Share this to help others catch hearts.
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You didn’t just hire a team.

You hired a risk.

That’s what most founders realize by Sprint 2, but by then, momentum is already bleeding out.

What starts as “a good fit” quickly turns into:

→ Delayed updates.
→ Vanishing senior talent.
→ Quiet budget drift.
→ Process that feels more defensive than proactive.

It rarely breaks all at once.
It just slowly stops working.

At Halo Lab — Your Digital Partner, we’ve inherited dozens of these “almost there” projects.
And we’ve learned to spot the early signals that most teams ignore.

Here’s how experienced founders filter for risk before it shows up on a roadmap:

1. Ask who stays after kickoff.
Bait-and-switch team structures are common. 
Real partners show you the core team from day one.

2. Low prices don’t remove cost. 
Into rework. Into scope creep. 
Into things no one “thought about” until it’s too late.

3. Their process should flex around your product.
If their workflow can’t adapt to your stack, roadmap, or internal rhythm, you're buying overhead.

4. Silence isn’t a “working phase.” It’s a liability.
Communication isn’t a nice-to-have. 
It’s part of delivery.

5. IP, code ownership, and access - settle it early and in writing.
No smart founder leaves this vague.

6. Domain experience is a requirement.
A capable team isn’t enough. 
You need people who’ve solved your kind of problems before.

7. If there’s no post-launch plan, you’re the plan.
Support, iteration, and continuity should already be mapped.

We partner with founders who know that reliable execution is rare and valuable.
If that’s where you are, you’ll feel the difference from day one.

♻️ Share this to help others fint a right partner.
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I can’t remember the last time I used an app that didn’t ask me to share, rate, or “engage.”

Every product today (even in B2B) is designed for an algorithm.
Google’s. LinkedIn’s. App Store’s. TikTok’s.

We’ve quietly shifted from designing for people to designing for distribution.
The algorithm rewards speed, volume, stickiness.
And so we chase it - with notifications, widgets, and “viral moments.”

But something gets lost along the way.

When was the last time a product was designed for:
✦ Silence?
✦ Reflection?
✦ A human mistake that wasn’t punished instantly?

You've trained our teams to ask,
“How will this perform in search?”
“Will this trigger engagement?”
“Will this help retention metrics?”

Not:

“Will this make someone feel seen, understood, or at ease?”
We measure time-on-page, not peace of mind.
We optimize funnels, not flow.

And in doing so, we risk turning our users into an interface between two algorithms, feeding signals back and forth.

Maybe the next wave of great design won’t be about more engagement.
Maybe it’ll be about creating digital spaces that breathe.
Moments that respect our attention instead of stealing it.
Because the best products don’t just perform, they pause.
They make us feel something.

What’s one product you’ve used lately that still feels designed for humans, not algorithms?

♻️ Share this if it resonates.
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I sat in a meeting where a CEO said something I'll never forget:

“I don’t need it to look beautiful. I need it to make money.”

At the time, it stung a little.
We’d poured weeks into crafting the perfect interface.
But he was right.

If your design doesn't move revenue or retention, it's wallpaper.
That moment changed how we work at Halo Lab — Your Digital Partner.
Now, every design decision starts with a business question:

1. What does this screen earn?
2. How does this feature reduce churn?
3. Can this interaction build trust faster?

We stopped chasing “nice-to-have” visuals and started designing for impact: shorter time to value, higher conversion, more clarity.

Last quarter, applying this thinking helped a SaaS client cut trial-to-paid time by 40%. Design decisions became revenue decisions.

What's one screen in your product that looks great but doesn't move the needle?

🔔 Follow Artem Borysenko for more updates!

Arpit Singh

GTM, AI & Outbound | LinkedIn Content & Social Selling for high-growth agencies, AI/SaaS startups & consulting businesses | Open for collaborations

Hi, I’m Arpit. I build growth systems by combining LinkedIn content, social selling, and GTM workflows.

I’ve been in marketing, ops, and GTM for 6+ years, with the last 2.5 years deep in outbound and social selling. 

In that time I’ve:
→ Worked with 50+ B2B clients across SaaS, fintech, and services
→ Scaled GTM engines inside agencies
→ Reported directly to 15+ founders and CMOs
→ Built outreach systems delivering 300+ replies per month
→ Fixed inbox placement from 20% to 90% in 10 days
→ Automated more than 10,000 touchpoints each month

Who I work with:
→ Founders making $20K to $100K per month who need predictable growth
→ GTM teams scaling sales and content but lacking systems
→ Agencies that want inbound and outbound working together

What I do:
→ LinkedIn content and social selling playbooks
→ Cold outreach and deliverability fixes
→ Trigger-based workflows across LinkedIn and email
→ Full GTM systems including automation, dashboards and SOPs

Currently, I’m a GTM Engineer at Content Path helping B2B brands turn content and outbound into one scalable growth engine.

If you’re looking to align content, outbound, and systems into a GTM engine that compounds over time, DM me.

Growth Strategist

At Huemor we build memorable websites for brands like yours that earn more customers, outshine competitors, and help recruit top talent.

After a website redesign, our clients typically experience:
+ 83% monthly website visits
+ 94% increased conversions
+ 91% leads generated

📞𝙉𝙚𝙚𝙙 𝙤𝙪𝙧 𝙝𝙚𝙡𝙥? 🗓
If you need help improving your current website, building a new one, or generating more organic traffic, we'd love to talk about it.

Get in touch by either...
Messaging me here on LinkedIn
Booking a free strategy session: https://bit.ly/4cHNIGc

One of the hardest parts of sending 20K emails/month?

Email infrastructure setup.

The situation usually looks harmless.

Replies slow down.
The opens still look fine.
Nothing is obviously broken.

So teams assume it’s copy.
Or personalization.
Or the offer.

But that’s rarely the reason.

This happens because email infrastructure doesn’t fail loudly.
It degrades quietly.

Mailboxes burn.
Reputation slips.
Deliverability drops before dashboards warn you.

That’s why I’ve trusted Maildoso for over a year.

It fixes the boring part of outbound. And that boring part matters.

What made me stick with Maildoso:

• 98%+ inbox placement, even to Outlook
• In-house SMTP. No resold nonsense
• IP rotation that keeps things clean
• Self-healing mailboxes so campaigns don’t just… die
• $1.80–$2.50 per inbox, domains included

What Maildoso gave me wasn’t hacks or hype. 

It gave me predictability.

Outbound stopped feeling fragile. 

Replies started making sense again.

If you’re scaling cold email and replies dip without a clear reason…

It’s worth checking whether the problem is really email copy… 

or the infrastructure underneath it.


P.S. See the link in comments to check it out for yourself

I’ve been using HeyReach for 2+ years now.
What I’ve noticed every single time:
They ship fast when users ask for something.

Creators ask.
Customers ask.
Updates show up.

That’s the kind of product behavior GTM engineers respect.

A few weeks ago, they rolled out 2 updates.

Nothing flashy. But if you run LinkedIn outbound seriously, you’ll get why these matter.

1️⃣ Manager role

Access control used to be annoying.

You either gave someone Admin access 
or locked them down so much that they couldn’t really operate.

Now there’s a proper middle layer.

Managers can work inside external workspaces, run campaigns, manage users, see what matters without touching billing or permission settings.

If you work with agencies, contractors, or shared GTM teams, this removes a lot of unnecessary coordination.

2️⃣ Workspace API

This one’s clearly built for GTM engineers.

It covers the boring parts of scaling LinkedIn outbound
the stuff you normally fix with spreadsheets and Slack messages.

You can now:

• Create and manage workspaces
• Pull users by role or invite status
• Invite Managers, Admins, Members
• Create API keys per workspace
• Connect it with Make, Zapier, n8n, MCP, Public API

Which matters when you’re onboarding clients or spinning up new GTM pods regularly.

These aren’t exciting updates.

But they make your outbound setup easier to live with.

And that’s usually a sign the product is built for real operators.


Do you use HeyReach.io in your GTM stack or workflow?

I’ve been using Trigify.io for 1.5+ years now.

Now, I’ve been tracking 25+ LinkedIn profiles on it, mostly for my clients.

And one thing is very clear to me:

Posting on LinkedIn isn’t the hard part. 
Tracking what happens after is.

Most people stop at “posting consistently”.
That’s where the real problem starts.

What usually goes wrong...

1. Everyone tries to create content for their ICP
– very few do it consistently
– even fewer attract the right people

2. Some posts get engagement
– likes
– comments
– profile visits

3. And then… nothing
– no tracking
– no follow-up
– no system

That’s wasted INTENT.

What actually works (when you track it):

1. Lead magnet → warm outbound

→ Post a lead magnet
→ Track who engages with it
→ Enrich those profiles
→ Use that list for outbound

You’re no longer cold. You’re starting with context.

2. Competitor & creator engagement

→ Track engagement on competitor posts
→ Or people consistently posting in your niche
→ Scrape those interactions
→ Enrich the data

Now you’re reaching out to people who are already active in the problem space.

3. Keyword-based intent signals (underrated)

→ Track engagement around keywords like:

   ~ “intent signals”
   ~ “GTM Engineer”
   ~ “RevOps”

→ Build lead lists from those conversations

→ Reuse them for:
   ~ outbound
   ~ content ideas
   ~ account research

Same signal. Multiple plays.


Why I’ve stuck with Trigify.io, it’s not because it’s flashy. But how it turns LinkedIn activity into usable intent.

Post-level tracking.
Profile-level monitoring.
Keyword-level listening.

And now, workflows make this operational. 

Instead of exporting data, stitching tools, and manually following up, you can:
- track engagement
- enrich profiles
- route data where it needs to go
- trigger next steps automatically

They’ve also been adding integrations around enrichment, sequencing, and data sync, which makes these workflows practical in real GTM setups.

But the core idea stays the same: 

If you’re already creating content and doing outbound, you should be tracking who’s raising their hand.

Otherwise, you’re guessing. And guessing doesn’t scale.

This is the difference between posting content and building a system.

Do you actually know who’s engaging with your content?

taplio

The Battle

Artem Borysenko

Arpit Singh

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Performance ScoreArtem Borysenko's LinkedIn Performance

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taplio

The Battle

Artem Borysenko

Arpit Singh

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Artem Borysenko's LinkedIn Performance

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Ready to grow your LinkedIn presence?

Performance ScoreArtem Borysenko's LinkedIn Performance