Founder | Helping startups hire pre-screened devs in 24 hrs.

I’ve spent the last 10+ years building and scaling tech products — including founding and growing two startups to 7-figure revenue, fully bootstrapped.

Along the way, I worked closely with early-stage founders, CTOs, and product teams on one core problem: turning ideas into real, shipped products — without burning time or money.

After helping dozens of startups with product strategy, hiring, and execution, one pattern became obvious:

Great startups aren’t held back by ideas.
They’re held back by slow execution and bad hiring.

Hiring developers the “traditional” way is broken — endless CVs, multiple interviews, long onboarding cycles… and still no certainty you hired the right person.

So I built Y Interval — a dev partner designed specifically for startups.

We combine:
• Startup-grade product thinking
• Vetted senior engineers who work like in-house
• Fast MVP builds without over-engineering
• Flexible, no-drama engagement models

The result:
Startups ship faster, hire smarter, and scale with confidence.

Since then, I’ve worked with 100+ startups and product teams, from early MVP stage to scale-ups, helping them:
• Build and launch MVPs
• Extend or replace in-house dev teams
• Execute AI, web, and full-stack products properly

Credibility highlights:
→ Built and exited two tech startups
→ Generated 7-figure revenue across services businesses
→ Helped 100+ startups build and scale remote dev teams
→ Worked with teams connected to Microsoft, Meta, and other large orgs
→ Built a media + newsletter brand read by 50K+ founders

If you’re a founder or CTO:
• Building an MVP
• Struggling with dev execution
• Or tired of unreliable agencies

Happy to connect and share how we usually help. Just connect via DMs here or check out our website: yinterval.com

A brownie mix salesman became richer than Bill Gates.

Steve Ballmer wasn’t a programmer.
He wasn’t a founder.
He was selling brownie mix at Procter & Gamble when Bill Gates asked him to join a tiny software company called Microsoft.

He negotiated his deal.
Ended up with 8% of the company.

When he became CEO, the criticism never stopped.
Forbes called him one of the worst CEOs in America.
The media mocked him.
When he announced retirement, Microsoft stock jumped 7% in a single day.

But here’s what most people ignore:

During his 14 years as CEO:
 • Revenue grew from $25B to $70B
 • Net income increased 215%
 • He built Xbox
 • Acquired Skype
 • Backed early Azure when others doubted it

After leaving, he held his shares.

Today, Steve Ballmer is worth over $130B.
Richer than Bill Gates.

The only person worth $100B+ who made it as an EMPLOYEE, not a founder.

He made mistakes.

He missed mobile.

But he had conviction when the crowd didn’t.
The market celebrated his exit.
Time proved him right.
The crowd doesn’t vote on your conviction.

Today’s headlines aren’t the final scoreboard.

Build for the decade, not the day.

Samee Hassan

Helping startups build better products. Deep in AI and data.

If you’re still scrolling LinkedIn for hours trying to find the “right” person… this might be useful.

Last week, I needed something specific:
Series A founders in NYC hiring their first VP of Sales.

Normally that means:
Open 20 tabs.
Search manually.
Cross-check funding.
Scan hiring pages.
Guess who’s actually relevant.

Instead, I tried something different.

I typed it into LEV8 like I was briefing a consultant.
“Find Series A founders in NYC hiring their first VP of Sales.”

It didn’t give me a static database list.
It searched the live web.
Recent funding signals.
Hiring activity.
Social updates.
Real-time context.

Then the interesting part:
I could follow signals and generate context-aware outreach - not generic templates.

No guessing who to talk to.
No outdated data.
No random leads.

Just high-signal people, filtered by intent.

The workflow is simple:
Chat — describe what you need.
Search — bulk results with human-grade quality.
Follow — track live signals.
Action — generate contextual messages.

It feels less like “prospecting” and more like having a connection engine working in the background.

If you build, hire, sell, or invest — the hardest part isn’t sending messages.
It’s knowing who actually matters right now.

Lev8 is opening early access.

Get Early Access.

lev8.com

One thing we’ve learned building products across startups:
Speed without feedback is dangerous.

You can ship fast.
Push updates weekly.
Close tickets quickly.

But if real users aren’t responding, you’re just accelerating in the wrong direction.

The best teams don’t just move quickly.
They close loops quickly.
Ship.
Measure.
Learn.
Adjust.

Small loops beat big launches.

We’ve seen startups spend 4 months building something “big” that could’ve been validated in 2 weeks with a smaller version.

Momentum doesn’t come from volume.
It comes from tight feedback cycles.

If progress feels heavy right now, it’s worth asking:
Are we building… or are we learning?

Curious how other teams here structure their feedback loops.

For most of us, knowledge is scattered.

Docs in one folder.
Notes in another app.
Slack threads half-remembered.
Emails buried.
Dozens of tabs open with things we “might need later.”

And then we open ChatGPT and ask a question…
and it knows nothing about us.

That gap is the real productivity killer.

I recently started using remio ai and what stood out wasn’t just “AI notes.”

It’s the idea of a self-built AI knowledge base.

Everything you’ve already read, written, saved, discussed -
web pages, local files, emails, Slack, meetings -
becomes one connected brain.

No manual clipping.
No re-uploading PDFs every time you ask a question.
No inviting bots into meetings.

You browse - it saves.
You meet - it records on-device.
You work - it learns your context.

The difference is subtle but powerful.

Instead of asking a generic AI for help,
you’re asking your own knowledge system.

And the answers feel different -
more grounded, more relevant, more “you.”

Feels like the next evolution isn’t better prompts.
It’s better context.

Try it yourself here: https://tryit.cc/3qsTDo

There’s a shift happening in how products get built.

Not just faster - but different.

In the past, building an app meant:
architects and specs,
wiring up frontend and backend,
deploying infrastructure,
and weeks of setup before anything worked.

Now, with tools like Zoer AI, that whole journey feels reimagined.

Instead of separate tools and pile of tickets, you describe your idea in plain language - what you want your product to do - and Zoer generates the whole thing:
A real frontend.
A real backend.
Database structures.
Authentication.
Business logic.
Everything.

It’s not just a “page builder.”
It’s a full-stack app builder powered by AI - capable of producing deployable applications without you having to wire together five different services.

What’s fascinating here isn’t the speed - it’s the shift in who can ship.
Founders and small teams with ideas can now build complete apps without pulling in a full engineering crew first.

We’ve been watching this space closely because it changes how we think about MVPs, prototypes, and early validation.

Instead of weeks of planning and hiring, you can go from idea → prototype → live in hours.

NOT replacing engineers - empowering teams to focus on problem solving, not boilerplate.

Curious how others here are thinking about AI tools and app builders - are you building with them yet, experimenting, or still on the sidelines?

CHECK IT OUT: https://tryit.cc/Z5HSip

This happens way too often.

A client comes in with a polished Figma design, thinking any developer can magically turn it into their dream app. 

Especially, now a days when everyone is vibe coding.

But the truth is, it's not that simple.

Choosing the right developer (or team) is the most critical decision for any startup hoping to build something people will love — and actually use.

I’ve been there myself and know so many others who've had the same struggle. 

A great design deserves great execution, and that takes skill, experience, and the right mindset.

Whether you work with me or not, please do your due diligence:
✔️ Review past projects
✔️ Read testimonials
✔️ Verify references

And one more thing: don’t choose a dev just because they’re the cheapest option.

Cheap often turns out to be very expensive in the long run..

👇 👇👇

P.S 
If you're a founder/CTO who's looking to hire devs, let's connect.

we help ramp up dev capacity, speed up product and MVP development, automate processes, and cut costs.

In 2012, two students had a wild idea:

What if design worked like Google Docs?

Adobe laughed.

They had 22,000 employees.

Figma had 20.

But by 2022, Adobe offered them $20B to buy their silence.

Too late.

Here’s how Figma humbled a giant with 1/100th the team - and what founders can learn from it:

🔹 Figma didn’t out-feature Adobe. They out-architected them.
 While Adobe stacked features on 20-year-old code, Figma rebuilt from scratch. Their multiplayer engine used constraint solvers and custom WASM rendering.

🔹 They built infra before they built UI.
 Figma spent 4 years pre-launch.
 Why? Multiplayer design isn’t a UI trick — it’s an architecture problem.
 They solved it with CRDTs, OT, and sub-50ms sync before showing a landing page.

🔹 They targeted teams, not just designers.
 – PMs loved comments
 – Devs loved inspect mode
 – Growth teams loved version history
 Figma stuck because it worked across the stack.

🔹 They gave devs a playground.
 Plugins. APIs. Widgets.
 Instead of locking devs out, they opened the gates — and the community built everything.

🔹 They didn’t chase distribution — they earned it.
 By 2021:
 – $400M+ ARR
 – 80% of YC startups by default
 – Adobe panicked


If you're building against giants:

-Don’t out-feature them.
-Out-architect them.
-Out-culture them.
-Outflow them.

----
👇 👇👇

P.S 
If you're a founder/CTO who's looking to hire devs, let's connect.

we help ramp up dev capacity, speed up product and MVP development, automate processes, and cut costs.

taplio

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