Valentine Boyev

Halo Lab — Your Digital Partner

Halo Lab is a full-stack design & development team.

We created digital projects almost every day since 2013.

We work with a diverse range of innovative startups and established companies. We've launched over 350 projects, helping our clients secure a total of $370M in funding. 

Some of our standout projects include:

- Kinetik: A healthcare platform with over 3,500 integrated providers.
- Bookclub24: A German online library for book collectors.
- Raven.gg: A leading brand in custom esports clothing design.
- Mighty Buildings: Pioneers in sustainable 3D-printed houses.

Co-Founder & CEO

OPUS

OPUS is a membership community for entrepreneurs, founders and business builders. We unite our members to create opportunities together by addressing isolation, knowledge and skill gaps through our digital platform, events & experiences, and partnerships, helping our members achieve their missions.

Member

Dribbble

Since 2013, I have partnered with Dribbble to enhance brand awareness and create new project opportunities for Halo Lab. Throughout this collaboration, I have played a key role in driving growth and expanding our presence in the industry.

Partner

CEO at Halo Lab ✦ Helped 500+ companies to raise 💲revenue and investments through digital design and marketing → $500M+ in client total funding

Results my company has delivered to my clients:

🔥 TutorChase — 1,000+ satisfied students.
🔥 DevelopHealth —  $2.3M raised in funding.
🔥 Felyx —  7.5% CR increase with our services.
🔥 LinkByCar — 18 car brands in their partnership.
🔥 Bookclub24 — #1 German online library for book collectors.

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With a passion for creating unique and scalable digital products, I help brands achieve their goals and elevate their presence in the digital world.

Key Achivements:

✅ $370M in client total funding

✅ 500+ happy clients

✅ 99+ international awards

✅ 80+ glowing reviews


I specialize in:

⤷  Web Design Services: Creating eye-catching and user-friendly websites that grab attention and drive results.

⤷  Website Development: Building strong, reliable websites that fit your business perfectly.

⤷  User Experience Design: Making sure your users have a smooth and enjoyable experience.

⤷  Brand Design: Crafting unique brand identities that really pop.

⤷  Conversion Optimization: Helping turn your visitors into loyal customers.

⤷  Digital Web Solutions: Providing all the web solutions you need in one place.

⤷  Website Redesign for Results: Giving your old website a makeover to boost performance and engagement.

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My Journey

My career began 15 years ago as a UI/UX designer, driven by a passion for creativity and beauty. For me, design is more than a job—it’s a way of life, an ever-exciting, fantastic world.

I believe in thinking outside the box and continuously renewing my knowledge. This mindset has guided me in helping people fall in love with brands and assisting agencies in winning new business.

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Halo Lab

Another passion I discovered is mentoring young designers at Halo Lab, where I help them become true professionals. Sharing my knowledge not only helps others but also fuels my own learning journey.

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Have BIG idea in mind?

Contact me directly: inquiry@halo-lab.com

“So… how much does it cost to build an MVP?”

That’s the question I get from almost every founder we talk to.

There’s no one-size-fits-all number, but there is a clear pattern in how MVP costs break down.

And understanding it early can save you from burning six figures in the wrong phase.

Typical MVP cost.

1. SaaS MVP: $30,000–$100,000 (more with complex backend or AI features).
2. Mobile App: $60,000–$150,000 (iOS + Android doubles cost unless cross-platform).
3. Marketplace: $30,000–$150,000 (multi-role logic and payments drive cost).
4. Internal Tool: $15,000–$100,000 (simpler UI but requires solid integrations).

How founders blow the budget:

1. Too many “nice-to-haves.”
You don’t need every feature. 
You need one that solves a real pain.
Amazon’s MVP sold only books, that’s it.

2. Reinventing what already exists.
Use Stripe, Auth0, Firebase, Twilio, not custom clones.
Integrating proven services can cut MVP costs by up to 60%.

3. Building all at once.
Launch the essentials (Phase 1), test, iterate, then scale.

4. Ignoring “hidden” costs.
Hosting, compliance, and early marketing add up fast.
Always keep a 20% buffer, it’ll save your runway when surprises hit.

5. Skipping validation.
A small discovery phase costs 5% of the budget but prevents 50% of rework later.

The best MVPs aren’t just cheap.
They’re intentional, focused, and fast to learn from.

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CEO @ Halo Lab ✦ Leading a 130+ design-driven B2B software company → 500+ products shipped & scaled

7 rules I wish I knew earlier.

(to make the UI work for the product growth).

1. Focus on fixing real user problems, not curious design. Function over form.

2. Stop guessing what works. Test all UI elements - buttons, CTAs, days of the week, color schemes - before you make a decision. Let the data choose.

3. Waiting for the perfect design means you're going to miss the needs of your users. Get feedback early and iterate fast.

4. Do not make the user think. Use simple, clear language that anyone can understand. The simpler the better.

5. The best way to reduce friction is to eliminate a choice. Focus on what matters.

6. Your UI is never "finished." It will evolve with user feedback and as your product changes.

7. If your product isn’t optimized for mobile, you’re losing users. Make sure mobile works perfectly before scaling to the desktop.

Ultimately, outstanding UI is about making your product simple, clear, and effective for the people using it.
Design for your users, not for your ego.

What are some of the biggest challenges you’ve faced in designing for usability?

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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.

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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.

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UI Patterns for AI products

Working with revolutionary teams is always exciting.

But being involved with a team that could potentially transform the way millions of people see and feel about themselves is an honour.

OmniBuds is creating the world’s first ear-worn AI/ML platform for real-time physiological monitoring.

That vision deserved an experience that felt just as innovative.

The first step was to design a digital ecosystem (app and website) that would convert complex data signals into a visual representation that users can understand and relate to quickly and easily.

We focused on three key pillars.

1. Clarity.

We designed intuitive, soothing visual representations of the complex multi-signal outputs of the AI.

2. Confidence.

The design of our user interface allows users to feel secure and informed about their health and wellness without feeling overwhelmed.

3. Scalability.

The design of our digital ecosystem supports the addition of new biosensors or biometric data and accommodates future generations of devices.

In conclusion, we have built a companion app that is capable of pairing devices, calibrating sensors, and tracking five vital signs (heart rate, respiratory rate, oxygen saturation, body temperature, and blood pressure).

Huge thanks to the OmniBuds team - your clarity, vision, and relentless drive made this collaboration special.

Thank you for trusting Halo Lab — Your Digital Partner to help bring such an important mission to life.

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OmniBuds Case Study

How can we make our busy lives a bit calmer and more growth-oriented? 

Routine Hero is the app for that. 
It's a habit-tracking app designed by Artgrafii.
And we are excited to share the background on one of our most significant collaborations.

The mission to bring mindfulness and structure to everyday life resonated with us at Halo Lab — Your Digital Partner.

We added a soft, warm look to draw attention to meaningful actions. When you combine that with thoughtful, user-centered UX design, the tracker becomes a creative canvas with clear, intuitive visualization.

The result?

✦ Higher engagement.
✦ Stronger emotional connection.
✦ A growing base of users who trust Routine Hero to help them stay grounded.

Since launch, Routine Hero has supported thousands of users to build sustainable routines, and reduce anxiety around routine-building practices.

Huge thanks to the team for trusting Halo Lab to bring your mission to life. 
It’s a privilege to design for products that make people’s days lighter.

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Routine Hero Case Study

A few years ago, I worked with a product team that doubled its user base in six months.

Great milestone, until everything started breaking at once.

Buttons no longer fit real workflows.
Dashboards collapsed under new data volumes.
Features designed by different teams looked like they came from different companies.

That’s when it became obvious: you don’t scale by adding features, you scale by designing for growth.

Here’s what changed (today I call it the 5 pillars of scalable design):

1️⃣ We stopped designing screens.
We designed systems.
Modular components, reusable everywhere, so new features didn’t require redesigning the whole product.

2️⃣ We built a real design system.
Tokens, rules, documentation, ownership.
A structure any new designer or developer could plug into instantly.

3️⃣ We switched to adaptive layouts.
More roles, more data, more devices.
The UI had to flex without breaking clarity.

4️⃣ We future-proofed content.
No hardcoded text.
No rigid page structures.
Everything had to scale with localization, new markets, and dynamic data.

5️⃣ We optimized for speed.
Because nothing kills scalability like lag.
If a key screen doesn’t load in under 2 seconds, the experience collapses under growth.

Looking back, the real shift was in mindset.
Scalability isn’t a phase. It’s a discipline.

What’s been the biggest scalability bottleneck in your product so far?
Tech, design, or people?

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“We saved money choosing the cheaper option…

but paid for it three times over.”

And I’ve seen this story play out again and again.
The “cheap” choice looks good on paper.

But here’s what it usually costs you:
→ Extra months fixing broken systems.
→ Support teams buried in avoidable tickets.
→ Lost trust from customers who won’t come back.
→ Higher churn that eats away at revenue.

That “cheap” website, tool, or app?
It ends up being the most expensive decision you make.

What’s worth paying for:

1. Better UX = lower support costs.
2. Clearer onboarding = fewer drop-offs.
3. Scalable infrastructure = fewer rebuilds later.
4. Stronger design = higher conversion and trust.

Cheap is never just cheap.
It’s delayed launches, frustrated users, and lost growth.
The real ROI comes from durability, clarity, and trust.
Not the lowest upfront price.

What’s the most expensive “cheap” decision you’ve ever made?

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A redesign driven by aesthetics rarely fixes business problems.

A redesign driven by user almost always does.

You just have to do it when you are certain of what’s broken and why.

1. When not to redesign.
If your brand feels stale but your product is functional, do not rebuild.
You likely need optimization, not rebuilding.

- Simplifying user workflows.
- Updating visual aspects to current design standards.
- Clarifying your value proposition through copy.


2. When a redesign is actually warranted
You can redesign when: 
- Users have outgrown your original logic of production.
- Your technology or architecture is restricting/making it difficult for you to grow.
- The perception of your brand is much more than what you deliver.
- All metrics indicate friction, and specifically not just aesthetic boredom.
That point is when design becomes a strategy tool versus a decoration exercise.

3. How to redesign without breaking everything.
We approach redesigns as a controlled evolution, not a revolution.

It starts with:

✅ Data: Identify and evaluate where users are actually struggling.
✅ Alignment: Balance your business goals with the the user needs.
✅ Phased rollout: Test, measure, iterate changes before scaling.

Good redesigns feel familiar yet new.
They keep the user oriented and provide a sense of progress.
Redesign is not for something new.
Redesign is for something to work.

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Most leaders will agree that "good UX matters."

But few can prove it in financial terms.

That’s where growth is slowly leaking.

When design is measurable, it is also scalable.
When it is scaleable, it is a competitive advantage.

This is what the math shows:

✦ Each $1 spent on UX returns between $2 and $100. (Forrester)

✦ A load time faster by 0.1 seconds can boost conversion up to 10%. (Deloitte)

✦ 18% of customers abandon the website because the site is hard to use. Baymard Institute)

✦ Companies with design maturity outperform similar companies by 2x in revenue and shareholder returns. (McKinsey Design Index)

So why measure your UX ROI?
Because if you do not measure it, design becomes "subjective."

When you measure it, you have a lever to influence:

1. Conversion rates and average order value.
2. Operational efficiency and support costs.
3. Customer lifetime value and churn.

Here’s how leading companies do it:

1. Benchmark experience metrics – funnel conversion, time-to-task, support volume.
2. Make UX optimizations – simplify flows, reduce friction, increase clarity.
3. Measure the delta – either revenue, savings or time.
4. Quantify into dollars.

UX isn't about how good your product looks.
It's about how much it earns.
When organizations measure that, UX is no longer subjective.

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How to Measure the ROI of UX

"Hiring own designers will be cheaper and faster.”

But look at the numbers.
They tell a different story.

✦ Time-to-hire is slow.
The average time to hire a UX/UI designer in the U.S. is 41 days (LinkedIn Hiring Report).
Senior designers? Often 55–60 days.
Add onboarding and culture fit, and you’re looking at 3–4 months before they’re fully effective.

Dedicated design teams?
Kickoff happens in 1–2 weeks with established workflows already in place.

✦ Total cost is higher than salary.
Average U.S. UX/UI designer salary: $85,000–$110,000/year (Glassdoor).
Add benefits, payroll taxes, equipment, software licenses, office overhead = 30–40% more.
That’s $120,000–$150,000 per designer, per year.
Now consider that most in-house teams need:
 - Product designer.
 - Brand specialist.
 - UX researcher.
 - UI designer.

That can quickly run $500K–$600K+ annually.
Dedicated teams?
You pay for deliverables, not overhead. 
With flexible scaling as needs change.

✦ Hidden risks of in-house.
Design turnover is high: UX/UI attrition sits around 20% in tech (UXPA survey).
Losing one designer mid-project stalls progress: recruiting + onboarding adds months.
Dedicated teams spread expertise across roles, reducing single points of failure.

In-house design isn’t “bad.”
But it’s slower, riskier, and more expensive to get outcomes at speed.

Dedicated teams let you:
1. Scale up or down instantly.
2. Access specialists without hiring 4+ roles.
3. Get results faster without HR bottlenecks.
4. The real cost of in-house isn’t salary.

It’s the delay, the overhead, and the risk of burnout or attrition.

Where do you see design bottlenecks most - hiring, retention, or delivery speed?

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A few months ago, one of our partners came up with a challenge.

“We’ve raised our Series A, we have product-market fit, but we’re stuck in endless design-dev loops. Can we ship an MVP that investors can demo this quarter, not next?”

We delivered it in 42 days.
Here’s what actually made it possible.

1. 10-day strategy sprint.
We used a pre-built discovery framework with templates for personas, flows, and decisions on technology stacks.
We only focused on the unknowns and skipped documenting the things that the team has already validated.
The result was a 70% faster alignment phase while maintaining context.

2. Parallel design & development.
In traditional teams, design "hands off" to devs, and that is where weeks go to die. 
We run parallel pipelines: The dev team starts building the architecture and reusable components in parallel. 
We do design QA in a sprint and not at the end.
The result: Reduced the cycle from design → dev delay from 3 weeks to 10 days.

3. Reusable design systems.

4. Senior leads keep hands-on.
Every project has a lead designer, tech lead, and PM who stay involved daily, not just at kickoff.
You speed delivery up by removing the invisible friction between discovery, design, and dev.

At Halo Lab — Your Digital Partner, we build like product teams.
That’s how we move from “idea” to “investor demo” faster without cutting corners.

If you’re a founder racing toward your next funding milestone, DM me.

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“We have an amazing product”.

“But users keep leaving before they even see the value.”

It’s not the product.
 It’s the experience.

And it happens because of:

1. A free trial signup that feels like applying for a loan.
Users quit before they even start.

2. Weak onboarding.
No quick win. No guidance. Churn in days.

3. Cluttered screens.
The features users need most get buried.

4. Hidden pricing.
 Confusion erodes trust before renewal.

5. No in-app guidance after the trial.
Users convert, but never adopt advanced features.

When you fix the UX, you fix the revenue.
 – Quick signup.
 – Clear onboarding.
 – Transparent pricing.
 – Continuous education.

That’s what turns users into loyal customers.

Founders: Which of these mistakes do you see most often in SaaS products?

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Incredible ideas stall due to weak partnerships.

It usually takes place in stealth.

Updates slow to a crawl.
The "senior devs" you met disappear from your calls.
Modifications to the budget shift from a "must" to "small" and you are suddenly bleeding money.

By Sprint 2, you realize that you didn't just hire a team, you hired a risk.

Here are ways to identify risk before you spend months working on a project:

1. Always ask about the team that will be running your project and who will stay after kickoff.

2. Too good to be true.
A low price always gets expensive. Low bid quotes hide re-work, missed deadlines and never ending "extras" that only come to light after the process has started.

3. A good team should manipulate the project to meet your goals, your stack, your workflow, not force their workflow on you.

4. Silence between sprints.
Try to schedule meetings during, not after, the process, establish weekly meetings, and leverage transparency.

5. Be sure to clarify IP ownership up front, make sure it's in writing.

6. Wrong domain skills. Ask for proven case studies.

7. No plan after launch. Make sure to ask about supporting you in scaling, not just shipping.

That’s how you find a dev partner who builds fast and right, not cheap (and now).

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Most SaaS teams think churn is a “product problem.”

Often, it’s a UX problem.

Specifically, these 3 patterns that silently destroy retention right when you’re trying to scale.

✦ Onboarding overload.

Your onboarding experience is doing too much → users never experience the “aha”.

Signs:

Your users see 30–60% drop off between signup → first key action.
Your users either defer their actions to “do this later”.
Your users either skip or quit onboarding tours.

Solutions:

- Prefill + auto setup wherever possible.- 
- Cut straight to the core metric (1 simple path).
- Eliminate features that your retained users aren’t using.
- Hide advanced options/features until user is successful once.

Measure: TTV, D1/D7/D30 retention, activation rate to first action, cohort comparison.

✦ Spammy + Manipulative UX.

Over-notifying, misleading, or hiding data practices will kill trust quickly.

Signs:

"Spammy” complaints.
Push for opt-outs + unsubscribes increases.
Session starts decrease after notifications are initiated.

Solutions:

- Quality vs. quantity: notify only when it helps now.
- Preference center for channel, topic, and frequency.
- Clear, human-centric language about privacy (no mention of legal slime).
- Remove dark patterns (don't do pre-checked boxes or hidden exits).

Measure: Notification CTR vs disable rate, complaint rate, NPS after comms change, retention deltas.

✦ Big-Bang redesign that breaks user habits.

A complete UI redesign with no guidance = instant churn.

Signs:

Returning users can’t find basic features.
Spike in support tickets (“where did x go?”).
Power-user activity drops immediately after launch.

Solutions:

- Roll out in phases + A/B test in advance of full launch.
- Quick in-product tours that respect muscle memory.
- Temporary “Classic mode” or quick old→new map.
- Collect feedback + iterate on a weekly basis.

Measure: Task success pre/post, ticket volume, usage recapture curve, old-vs-new retention.

Before you build more features, fix these UX leaks.
They’re cheaper to solve and improve retention faster than any new roadmap item.

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Many SaaS products confuse complexity for credibility. 

It's what leads to the breakdown of a good idea.

1. One dashboard that attempts to do ten jobs.
2. Seven CTAs competing for the same click.
3. Users paralyzed by decision fatigue.

This is an insecurity dressed as "more value."
The truth is: A product's strength lies not in showing more, but in hiding whatever does matter confidently.

I unpack 8 actionable strategies to simplify your interface, without dumbing it down.

Here’s a brief taste: 

1. Identify the 3 actions users really care about and bury the rest.
2. Deliver dedicated, focused views for each role. 
3. Make your primary CTA sticks out like a sore thumb. 
4. Rip out any/ all features nobody ever uses, they are silent churning.

Because clarity will always sell faster than complexity.

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8 Quick Fixes to stop feature-chaos

At 5 features, everything feels simple.

At 50 users start opening "Help" just to find stuff.
That’s a scalability problem.

Most products grow feature by feature, not structure by structure.
And that’s where chaos begins.

Here’s how we design navigation that stays clear.

1. Start with an audit: list every feature, who uses it, and how often.

2. Pick the right pattern for your stage.
5–10 features → simple tabs or top nav.
15–30 → sidebar/drawer.
50+ → vertical nav + mega-menu with logical groupings (Nielsen Norman Group backs this up).

3. Use clear, boring labels.
“Dashboard” beats “Ignite.”
“Reports” beats “Insights Hub.”

4. Grow gradually.
Don’t cram everything in.
Use “More” or “Advanced” to reveal depth only when needed.
As your app grows, search becomes navigation.

5. Measure navigation health.
Scaling navigation isn’t about adding more links.
It’s about designing a structure that grows without growing messy.

At Halo Lab — Your Digital Partner, we design scalable navigation systems that evolve with your roadmap - from MVP to enterprise.

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Every founder knows this pain.

You’ve got funding. You’ve got a roadmap. You’re ready to build.

But then hiring drags.
One role takes 2 months.
Another takes 3.

Meanwhile, competitors launch features while your product is stuck in limbo.
It’s not just a delay. It’s lost momentum.
Lost customers. Lost edge.

Here’s the truth I’ve learned working with product teams: Speed matters more than perfection.

And the fastest way to move?
Bring in ready-to-go experts who:

1. Adapt to your stack instantly.
2. Plug into your workflows quickly.
3. Push delivery forward instead of slowing it down.

They don’t just save time.
They save opportunities.

Because every extra month of hiring costs more than salaries.
It costs you market share.
It costs you trust.
It costs you growth.

If you’re a founder staring at another empty role on your team, ask yourself:
Do you want the “perfect hire”?
Or do you want your product in the hands of users?

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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.

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I evaluated a health app that checked all the boxes.

However, something was… off.

It had great features, was built in a compliant way, and looked fresh and modern.

What was missing?

It looked too good. 
It seemed too generic. 
It was too cold, feelings-wise.

Then the realization hit: it was all about the feelings.
In verticals like fintech, healthtech, or SaaS, trust is a feeling that your product builds through every click.

When users cannot see your team, your process, your ethics, they are reading your interface.
Over the years, I’ve come to realize that design is not only about usability, its about the assurance.

1. Demonstrate safety, don’t cover it.
If your product deals with the sensitive aspects, let users see you are protecting it. Make trust visible, not hidden in a footer.

2. Clarity is more credible than cleverness.
Everyday language feels believable vs trends and hype.
Users will trust you faster when they understand right away.

3. Consistency yields confidence.
Every inconsistency in color, layout, scheme, or logic shouts “unstable.”
In high-stakes spaces, unstable products destroy trust.

At Halo Lab — Your Digital Partner, we've realized this through real product work.
Every successful launch had one thing in common: the design felt human.
Users trust how technology treats them.
And that's the design that lasts - the design that builds trust, click by click.

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Leonard Rodman, M.Sc.

Trainicity

Technical SaaS Deployment Manager

1871

Working with 1871, a technology incubator company, to mentor startups in emerging technologies, with a specific focus on artificial intelligence companies.

AI Innovation Lab Mentor

OpenAI

OpenAI Forum is an invitation-only online community launched in February 2024 to facilitate collaboration between domain experts, researchers, and students on AI development and safety. It focuses on advanced discussions about artificial general intelligence (AGI) and its societal impacts.

Member, OpenAI Forum

Harvard Business Review

A member of the Harvard Business Review Advisory Council, an opt-in research community of business professionals.

Harvard Business Review Advisory Council

Impact Networking, LLC

•	Extensive work with Docebo APIs, automations and customization of interface with HTML/CSS
•	Developed Agile project plan and managed rollout of Docebo LMS system to 1,000 users, coordinating stakeholders and teams: web dev, UX, marketing, API, SSO/SAML, IT security, service and sales with rollout on-time, within budget.
•	Led weekly scrum standups to track progress, identify risks, and remove roadblocks. 
•	Implemented Docebo analytics in PowerBI to track adoption and guide development, increasing course consumption by 20%.
•	Documented frontend KB and backend SOPs for Docebo LMS to support long-term system maintenance and growth.
•	Founded a BIPOC employee resource group with support of C-suite and executives
•	Developed, designed, prototyped and maintaining UX across the product. Extensive customization with HTML and CSS
•	Developing and prototyping AI initiatives within L&D and across the company including AI chatbots for sales development and internal training of call center personnel using APIs, ChatGPT and Claude.

Docebo LMS Lead Administrator, Project Manager, Developer, UX Researcher

Leading Real Estate Companies of the World

•	Managed migration and onboarding of 200k users and 3M learner records to new Docebo LMS using Agile PM principles
•	Custom API and HTML/CSS work to integrate product lines and provide custom, bespoke user interfaces
•	Built Salesforce automation routines to create richer analytics dashboards, improving visibility into learner behavior.
•	Conducted UX Research and developed multiple UX implementations across product lines
•	Recognized with prestigious Training Magazine Top 15 Hall of Fame Award for excellence in training.

Docebo LMS Lead Administrator & Lead Instructional Designer, Developer, UX Researcher

Kaplan

Premiere private tutor and teacher for LSAT, MCAT, GMAT, GRE, SAT, ACT and AP courses

Premier Tutor (LSAT, MCAT, GMAT, GRE, SAT/ACT)

IT System Administrator | AI Implementation Analyst | Agile Project Manager | 40k followers & 11M views/14mo | ChatGPT, Midjourney, Runway and more!

Leo is a technical deployment manager at Trainicity. He has worked in education and technology for 20 years and is incredibly excited about all of the opportunities that AI offers for corporate education, client education, marketing and more! He specializes in testing, comparing and implementing AI systems at an enterprise and SMB level. He also provides Agile coaching to organizations. 

LMS Lead Administrator

I will be launching a new Docebo LMS for Impact Networking this year. I'm so excited to join an amazing team!
Assisting with finalizing a LMS vendor agreement
Strategizing about LMS rollout
Developing UAT strategies with the L&D team
Coordinating with UXUI and Graphic Design to develop a branded look and feel
Coordinating with Managed IT Ops to develop a SAML-based SSO for MS Azure
Analytics with Microsoft PowerBI
Investigating Microsoft Power Virtual Agents for e-Learning and KB access

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

I’m done treating month-end like a boss level
I want cheat codes

Generic AI is a sidekick
Sage is the squad

It lives in the work
Bills. Expenses. Timesheets. Variances.
All seen. All explained. In flow.

End-loaded chaos → continuous calm
Spreadsheet spelunking → guided answers
“Hope the numbers tie” → “Of course they do”

If you’re serious about a faster, cleaner close
Start where finance actually lives
Start with Sage

Download the Sage eBook and see for yourself! https://bit.ly/46WZs6D 🚀📘

Leonard Rodman, M.Sc. PMP® LSSBB® CSM® CSPO®

Follow me and learn about AI for free! | AI Consultant and Influencer | API Automation Developer/Engineer | DM me for promotions

Your ads are leaking money
because your AI humans still look like mannequins.

Plastic skin.
Dead eyes.
That weird “AI sheen” that screams fake from the feed.

That is the fastest way to tank trust, CPM, and conversion.

Flora just quietly killed that problem.

They plugged in Enhancor, an AI skin texture enhancer that takes synthetic faces and pushes them into photoreal human territory.
Pores. Micro texture. Natural variation.
Without warping the face underneath.

If you are a marketer, here is why that matters more than yet another “cool AI filter”:

Your models stop looking like robots
Enhancor is trained specifically on skin. It fixes that over smooth, plastic AI look and adds realistic skin details so people stop subconsciously bouncing from your creative.

You keep facial structure and brand consistency
No more “who is this, actually” moments. It preserves bone structure and features while enhancing texture, so your AI talent stays on model across campaigns.

You win back hours of retouching
What used to take manual skin work in Photoshop or an external pipeline now runs inside your Flora workflows, where you already do character swaps, garment try ons, and commercial shoots.

You finally scale “good enough for TV” visuals
Flora is already an infinite, multi modal canvas for teams building image, video, and text like Lego blocks. Enhancor turns that into “ship this to paid” quality instead of “only good for moodboards.”

Here is the uncomfortable truth:

In 2025, your competition is not “using AI.”
Your competition is using AI that does not look like AI.

If your ads still have

Wax skin

Smoothed out plastic influencers

Faces that break at 4K

you are training your audience to distrust your brand assets.

With Enhancor living inside Flora, a single marketer can

Spin up AI talent

Run it through Enhancor for realistic skin

Drop into Flora flows for product swaps, new backgrounds, and campaign variants

Ship a full set of ad ready creatives in the time it used to take to brief a designer

No new app juggling.
No extra export import pain.
Just higher quality humans in the same canvas you already live in.

If your AI creatives still look like midjourney moodboards instead of money making ads, that is no longer a tech problem.

That’s because of your poor choices.

Curious how Enhancor inside Flora could clean up your current campaigns?
Check out Flora today at https://florafauna.ai

RIP CODERS! This AI can FULL APPS and Websites for you in minutes!

Introducing ABACUS AI DEEP AGENT - The AI Agent that builds full Apps, Saas, Websites, other AI Apps, and much more...!http://deepagent.abacus.ai

HERE ARE ALL THE FANTASTIC FEATURES

1. Build A Full Stack App In One Shot
Complete, production-ready website from a single prompt. Including a dynamic form and a fully integrated database.

2. Create Interactive Games
DeepAgent instantly creates interactive games, such as Conway’s Game of Life, Sudoku, Hot or Not, in one shot, and many more. All from a single prompt, without any coding!

3. Create Presentations with Images and Graphs
Instantly creates beautiful presentations with detailed information, graphs, charts, and images, saving 4-5 hours at least.

4. Embed AI In Your Vibe-Coded Apps
DeepAgent instantly creates other AI apps, such as a dating advisor, a mindful coach, a sports coach, car info, and a dietitian - essentially, ChatGPT but tailored for personal use cases!


5. Create Technical Deep Research Reports
Instantly writes detailed research documents. Perfect for founders, analysts, marketers, and students.

6. Raw Data to Visual Insights and Dashboards
DeeAgent analyses your XLS and CSV files in detail, extracting key metrics and instantly generating clear and insightful graphs to visualize your data.

7. AI Travel Hacker
DeepAgent browses the web in real time to find and compare the best and cheapest flights, hotels, and events to automate your life. Basically, your assistant for 24/7

8. ABACUS AI DEEP AGENT Includes CHATLLM
All-in-one AI Super assistant, Generate images and videos, Chat with PDFs and docs, Create presentations & reports, CodeLLM - AI Code editor

This all-in-one tool can replace all your AI tools! Give it a shot!

http://deepagent.abacus.ai

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Valentine Boyev

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

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The Battle

Valentine Boyev

Leonard Rodman, M.Sc. PMP® CSM® CSPO®

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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);}Valentine Boyev's LinkedIn Performance

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