Ferenc Fekete

Helping non-tech Founders transform Ideas into SaaS products @ VeryCreatives | Product Agency, SaaS & MVP Development | Startups

I've watched many startup founders fail at the same exact point: turning their validated idea into actual software.

They waste months (or even years):
→ Trying to hire the right developers
→ Burning cash on poor planning and execution
→ Second-guessing every technical decision along the way

Meanwhile, competitors move faster, investors demand traction, and the pressure to deliver keeps building more and more.

After watching this pattern destroy countless promising startups, we built VeryCreatives to fix it.

But here's what makes us different:

We don't just build your MVP and disappear. We're product people who think like founders, not just developers who code to spec.

👉 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: We start by pressure-testing your assumptions before writing a single line of code. If the market doesn't want it, we'll tell you straight.

👉 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 𝗳𝗿𝗼𝗺 𝗱𝗮𝘆 𝗼𝗻𝗲: We build like it's our own startup, obsessing over user experience, scalability, and investor readiness from the first sprint.

👉 𝗙𝗿𝗼𝗺 𝗶𝗱𝗲𝗮 𝘁𝗼 𝗲𝘅𝗶𝘁 𝗮𝗻𝗱 𝗯𝗲𝘆𝗼𝗻𝗱: Whether you're at napkin sketch or Series B, we've been there. We've helped founders go from zero to acquisition, and we stick around for the entire journey.

For the past 14 years, we've built products for venture-backed startups, fast-growing scale-ups, and globally recognized brands like Red Bull, Nestlé, and Philips.

The startups we work with have:
✅ Launched investor-ready MVPs in under 90 days
✅ Secured funding from top-tier investors and VCs
✅ Scaled from first users to thousands of paying customers
✅ Successfully exited to strategic acquirers

Got a SaaS idea that's been sitting in your head for months? 
Let's map out your 90-day path to launch → https://verycreatives.com/book-a-call

Co-Founder

At VeryCreatives, we are a team of expert developers who create powerful SaaS apps that solve problems and drive growth for founders with initial funding. We believe in empowering our clients with innovative software that helps them achieve their goals and stand out in their industry.

Our audience consists of driven and ambitious founders who have just received initial funding for their startup. They are looking for a software development partner who understands their vision, can help bring their ideas to life, and deliver results that will help them achieve their business goals.

Founders with initial funding have a pressing need to build their product quickly and efficiently to maximize their chances of success. At VeryCreatives, we understand this need and are dedicated to creating high-quality SaaS apps that not only meet their requirements but also exceed their expectations. We are committed to delivering value and results that help our clients succeed.

VeryCreatives stands out in the market for our ability to deliver high-quality, innovative solutions that meet the needs of our clients. Our unique approach to software development, coupled with our expertise and commitment to excellence, is what drives us to provide outstanding results to our clients.

Industries our clients operate in, using the SaaS products we've built: 
- Digital marketing, Event marketing & Influencer marketing SaaS
- Foodtech & Delivery 
- Fintech, Banking & Investments
- 2-sided marketplace platforms
- Agriculture & Livestock management
- Packaging compliance & Waste

Markets we cover: UAE, EU, UK, US.

The UK is shipping world-class SaaS 🇬🇧

Here's 20 UK startups and the core feature that makes each one worth watching:

Attio (Nicolas Sharp) → AI-native CRM that auto-enriches contacts in real time. ARR quadrupling YoY.

Synthesia (Victor Riparbelli) → Text-to-video with 230+ AI avatars in 140+ languages. $180M Series D.

PolyAI (Nikola Mrkšić) → Voice AI that handles live customer calls in 45 languages. Backed by Nvidia.

Xelix (Paul Roiter) → AI agents for Accounts Payable. Processes 115M+ invoices per year.

Granola (Christopher Pedregal) → AI meeting notepad. Auto-generates structured notes and action items from calls.

Vertice (Eldar Tuvey) → SaaS spend platform that auto-negotiates your renewals. 437% growth rate.

Signal AI (David Benigson) → Real-time monitoring across millions of sources for reputation and regulatory risk.

Plain (Simon Rohrbach) → API-first support where AI agents resolve tickets autonomously. Used by Vercel and Cursor.

Griffin (David Jarvis) → UK's first full-stack Banking-as-a-Service with a full banking license.

Primer (@Paul Anthony) → Single API connecting 100+ payment processors with no-code routing.

hyperexponential (​Amrit Santhirasenan) → No-code pricing models for commercial insurers. Backed by a16z.

Raycast (Thomas Paul Mann) → Keyboard-first productivity launcher. 800+ app integrations with built-in AI.

StackOne (Romain Sestier) → One API to connect 200+ enterprise SaaS integrations. Built for AI agents.

Lindus Health (Meri Beckwith) → Runs full clinical trials 3x faster than traditional CROs.

Metaview (Siadhal Magos) → Auto-generates structured interview notes from live conversations. Used by Sony and Brex.

Sylvera (Allister Furey) → Satellite imagery and ML to rate the actual quality of carbon credits.

Robin AI (Richard Robinson) → LLM trained on 2M+ contracts. Reviews and negotiates legal docs for UBS and Pfizer.

BVNK (Jesse Hemson-Struthers) → Stablecoin payment infrastructure for cross-border business transactions.

Shop Circle (Luca Cartechini) → AI-powered suite for Shopify merchants. Inventory, SEO, analytics in one dashboard.

Tessl (Guy Podjarny) → Forces AI coding agents to write specs before generating code. Prevents hallucinations.

Every one of these started with a sharp product decision: solve one problem exceptionally well, then expand.

What UK startup has caught your eye recently?

Launch products customers love, then exit | 5x exits, $100M ARR created for founders

I’ve developed products for 5x exits

Shock: Don't hire a developer in 2026

Every week, a non-technical founder asks me: "Where do I find good developers?"

My answer: "Why do you need one?"

Usually they don't. Not yet.

Before you hire a developer, you need:

1. Validated problem

→ Real people willing to pay. Not just "interested."


2. Clear scope

→ What are you building? What are you NOT building?


3. User journey mapped

→ Every screen. Every interaction. Every edge case.


4. Prioritized features

→ What's V1 vs V2 vs never?

Without these, you'll waste $15-20k per month while you "figure it out."

If you DO need a developer:

Red flags:

→ Promises fast/cheap (you'll pay later)
→ Doesn't ask about your business model
→ Jumps straight to coding
→ Can't explain trade-offs in plain English

Green flags:

→ Asks more questions than you expect
→ Pushes back on features
→ Talks about users, not just tech
→ Shows similar work (not just "we can do that")

The best developers will tell you what NOT to build.

"The project will cost $50k." - Developer
 
3 months later: $120k. Sh*t. What happened?

Every non-technical founder has heard this: "It will take longer than expected."

But you can prevent it (with some high-school math)

Here's how to build an accurate cost forecast:

Step 1: Break it down absurdly small

Not "user authentication: $5k"

But:

→ Login page design: $500
→ Login backend: $1k
→ Password reset flow: $1.5k
→ OAuth integration: $2k
→ Security testing: $500


Step 2: Add complexity multipliers

→ Simple feature: 1x
→ Medium complexity: 1.5x
→ Complex/uncertain: 2x
→ Integration with third parties: 2.5x


Step 3: Add the "unknown unknowns" buffer

→ New team: +30%
→ Existing team, new domain: +20%
→ Experienced team, known domain: +10%


Step 4: Phase the budget

→ Phase 1: Core features (40% of budget)
→ Phase 2: Secondary features (30% of budget)
→ Phase 3: Polish and optimization (20% of budget)
→ Buffer: (10% of budget)


Step 5: Define cut points

If Phase 1 goes over, what do you cut from Phase 2?

Decide BEFORE you're in crisis mode.


The rule:

If you haven't scoped it in detail, you haven't scoped it.

And if you haven't scoped it, any number is a guess.

So…

Maybe pause that developer project.

Mixpanel is the only company I've seen do this 🔥

They’re putting client logos directly on each pricing tier. 

I think this is smart for a few reasons:

1. Trust at the decision point

You're comparing plans. You're about to pick one.

That's exactly when you see the logos. Trust increases right when it matters most.


2. Self-comparison kicks in

When you see "Uber uses the Growth plan" and "CNN uses Enterprise," you start asking yourself:

→ Which companies are like mine?
→ What plan are they on?
→ Should I be on that too?


3. The proof matches the buyer

→ Startups see startup logos on the Starter tier.
→ Enterprises see enterprise logos on the Enterprise tier.
→ Each plan has its own social proof. Not one generic "10,000 companies trust us" claim.

Small detail. Probably moves conversions more than most people realize.

Have you seen other SaaS companies doing this?

I've been part of 5 SaaS acquisitions.

Here's what buyers discuss privately:

When a company gets acquired, founders focus on revenue, growth metrics, and the pitch.

But after the presentation, when the acquirer's technical team goes back to their office, the conversation shifts completely.

I've seen this happen five times now. The questions they ask each other are almost always the same:

→ "Can we maintain this code without them?"

If the answer is no, the price drops or the deal dies. One of our clients got acquired by Adesso ($1.3B IT company) and one of the deciding factors was code quality. Their team reviewed the codebase and actually kept us as the development partner post-acquisition.


→ "How much technical debt are we inheriting?"

Every shortcut the original team took becomes a line item on a spreadsheet. They calculate what it costs to fix and deduct it from the offer. This can knock six figures off valuations.


→ "Can this handle 10x the current load right now?"

Not after a rebuild. Right now, as-is. If the answer requires re-architecting, that's another cost they subtract.


→ "Is the data clean enough to migrate?"

Messy data means months of integration work on their side. They price that in aggressively.


→ "What happens when the founders walk away?"

If all the product knowledge lives in two people's heads with nothing documented, the acquirer just bought a risk.


Most non-technical founders don't think about any of this until they're already in due diligence. By then the damage is done.

Build like someone's reviewing your codebase tomorrow. After 13 years, I've watched acquisition offers show up when founders least expect them.

What would you want to clean up in your tech stack before a buyer looked at it?

I run a 28-person agency. I used to feel guilty about an ‘empty calendar’ on a Monday. Now I try cancel all of my meetings:

And it’s helped us grow revenue 30%+.

Previously I was in every delivery meeting, every project review, every standup at VeryCreatives.

I thought I had to be in the room for things to run.

Now, our fantastic Head of Delivery meets with the PMs directly. 

And an ‘empty calendar’ means brain space to strategise on growth.

Here's what my Monday looks like now:

1. Strategy session with my co-founder Mate
→ Previous week, pipeline, finances, what's planned
→ Keeps us both aligned so neither of us needs to check in again all week

2. Sales sync
→ New leads, who handles what, timing

3. Afternoon: wide open
→ This is the whole point
→ We use that time to plan new internal tools, shape future services, figure out where we're going next

By lunchtime, the operational part of my day is done.

Everything after that is thinking time.

What's one meeting you could delete from your Monday to create space?

I've helped 5 SaaS products exit. 

Here's what acquirers actually looked at:

5 years ago, a product we developed sold to Adesso ($1.3BN/year IT business).

One of the things they noted was that technical build was a factor in acquisition.

Main problem:

Non-technical founders MOSTLY don’t think about how to build the technical foundation for exit from day 1.

Then in the event of acquisition they scramble to make the product "acquirable" and wonder why due diligence takes forever.

Here's what acquirers evaluate:

1. Code quality

Can they maintain it without you?

I've seen acquirers keep the original dev team post-acquisition specifically because the code was clean. 

Red flags they look for:

→ No documentation
→ No tests
→ Spaghetti architecture
→ Single points of failure


2. Technical debt

How much will it cost to fix?

Every shortcut you take today becomes a negotiating chip against you later.


3. Scalability

Can it handle 10x users?

Not "can we rebuild it to handle 10x." Can it handle 10x NOW?


4. Data integrity

Is the data clean? Structured? Portable?

Messy data = massive integration costs = lower valuation.


5. Team dependency

What happens if founders leave? Is knowledge in heads or in docs?

My ‘exit-ready’ lesson;

Build like someone's going to buy your company tomorrow.

Because if you do it right, they might.

Think about this while building the roadmap for your v1.

My 6-year old son tells $100M private equity firms if product ideas are ‘good’ (I’m serious).

If you can't explain your product to a 6-year old, I’ve got $100,000 on the fact that no one else will get it either.

I sit through dozens of product pitches every year.

The pattern is always the same:

Founder: "So basically, we're building a platform that leverages AI to optimize cross-functional workflows while integrating with existing enterprise systems to enable seamless collaboration and data-driven decision making."

Me: "What does it actually do?"

Founder: "...It helps teams share files."

The 6-year old test:

Can someone who has never heard of your product understand:

1. WHO it's for
2. WHAT problem it solves
3. WHY they should care

In 5 seconds?

If not, here's the formula that works:

"We help [specific person] [do specific thing] so they can [achieve specific outcome]."

Examples:

→ "We help freelancers send invoices so they get paid faster." 
→ "We help HR teams track applicants so they hire better candidates."

Trust me… my 6-year old is a great product idea validation filter.

Can you explain your product in one sentence?

Clay is one of the only companies I’ve seen do this 🔥

When you open the dashboard:

→ There's an AI chat text box.
→ It asks: "What do you want to build?"
→ You type your goal. It takes you to a chat screen. 
→ Then their AI (Sculptor) builds the workflow for you.

I think this solves three problems at once:


1. The blank canvas problem

Clay is powerful but notoriously hard to start with (lot’s of features).

Beginner users will open it, see an empty table, and don't know where to begin.

This prompt box removes that moment. 


2. Slow learning curve

A lot of tools teach you their features via an onboarding. 

But then over a few years they launch 10+ other features you have no clue how to use.

This Clay feature speeds up the learning curve:

→ You describe the outcome
→ The product figures out which features to use
→ You learn by watching it build


3. HUGE time and cost savings. 

For a lot of large products such as Clay, there are off shoots of service based agencies that build with the product for you.

Now you literally do not need to hire an agency.

The product builds what you need for you.

Making it more fun to use.

-

Have you seen other tools do this?

Why US innovation labs pay $500K for what Hungarian teams build for $100K (and get better results):

I just watched an enterprise innovation lab spend $500K on a product that never saw a single real user.

Then in same quarter, we shipped a similar concept for a German client. 

It took six weeks, it cost much less…. and in the end was live and taking payments vs the US one (zero payments).

The problem is US labs have been trained to solve every problem with a 20-person team.

Think about what happens when you have a massive budget:

→ You hire a product manager.
→ You hire three designers.
→ You hire a scrum master.
→ You hire eight developers.
→ You hire two QA engineers
→ And a DevOps team.

Everyone needs to justify their role. So they build. And build. And build.

👉 The PM adds features to show progress
👉 Designers polish screens nobody asked for
👉 Developers architect for scale you don't have
👉 QA tests edge cases that won't exist for years

Six months later, you have a beautiful product that solves nothing particularly well.

OR-

With that same $500k budget, you could run 10 separate validation sprints at $50k each. Even if 8 fail completely, you still walk away with 2 validated concepts to scale.

Compare that to putting the budget on one product that takes six months to discover nobody wants.

Agree or disagree?

Fireflies.ai hit a $1B valuation.

How to copy their MVP strategy:

Founders Sam Udotong and Krish Ramineni would dial into calls as "Fred from Fireflies.ai", sit silently, take notes by hand, and send them 10 minutes later.

They did 100+ meetings like this. Completely manual. 🤯

→ Zero development cost to validate
→ Learned exactly what users needed (by doing the job themselves)
→ Proved people would pay $100/month BEFORE investing in code
→ Only automated after hitting $750/month revenue

What I take from this:

Before you scope features, before you wireframe, before you hire anyone:

Can you deliver the core value manually? Without hiring any developers?

If yes, do that first. Talk to those customers. Understand the problem deeply.

Then build.

-

P.s.

We use Fireflies.ai at VeryCreatives.

We switched from Fathom because it felt more complete and could even log our internal calls in Hungarian. 🇭🇺

Could you imagine Fred joining your call to take notes?

What's stopping you from delivering your product's value manually this week?

Most launches fail in the handoffs. Here's the 20-minute test that catches them.

If we work together on a launch, I will ask you to do one thing that feels annoying:

Close Figma.

Forget your test accounts.

Take a brand new signup and do one complete job in one sitting:

👉Invite the teammates you expect them to invite.

👉Import the messy file they will actually import.

👉Hit the permission edges you are secretly hoping they never hit.

What I keep seeing is the same:

Teams test features in isolation because it feels faster.

Users live in journeys.

Journeys fail in the handoffs.

So, pick one job that really matters.

Time yourself doing it end to end on a fresh account.

Write down every time you pause, swear, or ping someone for help.

Fix the three worst moments before you celebrate anything.

It is not glamorous work, but it has saved more launches for us than any marketing campaign.

When's the last time you did a full journey test on a fresh account?

Hiring a developer is the most expensive mistake a non-technical founder can make. Do these 7 things to save $50k+ for your MVP (avoid Upwork/Fiverr):

1. Define your product strategy first

→ Spend 2-3 days defining exactly what you're building and why. 
→ Don’t scroll Upwork/Fiver for a developer.


2. Create detailed user journeys

→ Every screen. Every interaction. Every edge case.
→ If you can't draw it, you can't build it.
→ Otherwise you’ll end up trusting a developer with the entire thing.


3. Prioritize features ruthlessly

→ What's your V1? V2? Never?
→ Cut 50% of what you think you need.


4. Wireframe everything

→ Before design and before code. Do wireframes.
→ It’s cheap to change (trust me on that one). 


5. Weekly demos with the developer

→ See progress. Catch misunderstandings early.
→ Fast feedback loops save thousands.


6. Fixed scope, not fixed time

→ Tell the developer "Build these 10 features" not "work for 3 months."
→ Not "work for 3 months." or "work for 10 hours this week."


7. Kill features that aren't working

→ Sunk cost fallacy kills startups.


The math:

A few days of product strategy work upfront can prevent $50k-$100k in wrong features.

I've seen founders spend $80k building the wrong thing. Then start over.

Don't be that founder.

The fastest way to make $100k MRR with SaaS 

Copy all of your competitors features:

No, seriously.

But only once you take this into account.

Your competitor has 50 features. 
They’re proven over 5+ years.
They’re clearly making revenue.

Just copy them all right?

Here's the problem:

Your competitor built those 50 features over 5 years.

They added most of them because:

→ A big customer asked for it
→ Someone on the team thought it was cool
→ They were trying to justify a price increase

They probably regret half of them.

What to do instead:

1. Identify their core value proposition (usually 2-3 features)
2. Find which features their customers actually use (check G2 reviews, Reddit, support forums)
3. Identify what they do poorly (read 1-star reviews)
4. Build that. Better.

Don't compete on feature count. 

You'll lose.

Compete on solving one problem exceptionally well.

What's the one thing your competitor does that you could do 10x better?

LinkedIn Growth Hacker✌️ ||Believe in Smart work💥 || Content Creator🖋️|| Believe in Opportunities💫|| Adding a little spark✨

LinkedIn Growth Hacker | Brand Builder | Marketer | ML Engineer | Public Speaker | Featured at Times Square

Most LinkedIn profiles get views. Few get growth.

I help creators, professionals, and brands turn their LinkedIn presence into a growth engine, attracting visibility, opportunities, and authority.

Many people have incredible skills or products, but their profiles don’t reflect their value. I change that.

I’ve scaled my own LinkedIn to 130,000+ followers, not with luck, trends, or gimmicks, but with a proven system of growth-focused content, strategic branding, and audience-first engagement.

Now, I help others do the same. My focus is on amplifying your authority, building a strong personal brand, and growing your audience, so you become the go-to name in your niche.

What I do:

✅ LinkedIn Growth Strategy 
✅ Content Creation & Branding 
✅ Brand Collaborations & Campaigns 
✅ Profile Optimization

If you want to scale your LinkedIn, grow your influence, and turn your brand into a visible authority, let’s connect.

➡️ DM me or email: v.toshniwal2828@gmail.com

Always open to meaningful conversations, collaborations, and opportunities in AI, ML, and tech-driven products.

Currently seeking Tech / Machine Learning Engineer opportunities.

Vidhi Toshniwal

I used to type everywhere.

On the bus.
At the cafe.
Even in random co-working spots.

My brain would move faster than my fingers. Mistakes. Backspaces. Endless edits.

Then I tried something different.

I started speaking instead of typing.

With Wispr Flow, everything I say turns into perfectly formatted text, emails, Slack messages, notes, even code. It works across every app I use.

➡️ 500ms latency
➡️ 85% zero-edit rate
➡️ Emoji commands & whisper mode
➡️ Works in 70+ apps

72% of my work today? Voice-only. My keyboard barely gets touched anymore.

And now, Android users can finally join in. Same speed, same accuracy, same magic.

Work anywhere. Speak naturally. Get more done.

My keyboard? Officially retired.

Try it yourself and see how much faster you can get things done.

https://wisprflow.ai

Wispr Flow

Wispr Flow 

So I tried something new recently.

I didn’t open PowerPoint.
I didn’t copy notes between tools.

I just wrote in Claude.

Then… a presentation appeared.

Here’s what changed.

Before, I would:
Think in Claude → copy ideas → open a slide tool → rebuild everything → lose momentum.

Now?

All I do is:

Connect Gamma inside Claude → write one prompt → get a full deck.

Claude reads my docs.
Pulls the right points.
Adds visuals.
Builds the slides right there.

Same thinking.
Same flow.
Real output.

Cherry on top?

I saved my brand style once in Gamma.
Fonts. Colors. Logo.

Now every deck looks like me.
Not generic.
Not “AI-made”.

No rebuilding.
No context switching.

Just thinking → slides.

This is how AI should work in 2026.

Claude helps you think.
Gamma helps you show it.

📌 https://lnkd.in/g7u4YKhr

#gamma #ai #tech

Gamma

China just dropped the game changer in AI

Kimi is now the #1 most-used model on OpenClaw (via OpenRouter)
and the overall #1 on OpenRouter.

It has Claude Opus4.6 performance,
but 8x cheaper!!!

People using Kimi on OpenClaw are already saving hundreds of dollars!
This isn’t hype. Builders don’t follow trends, they follow results.

To support this growth, Kimi Code has gone token-based:

➡️ Pay for actual usage
➡️ Transparent scaling
➡️ No bloated subscriptions

Getting started is simple:

1️⃣ Go to kimi.com/code, pick a plan, grab your API key
2️⃣ Login to openclaw.ai, install, paste your key
3️⃣ Keep the default model kimi-coding/k2p5
4️⃣ Choose hooks (markdown, command logging, context continuity) if you want

Restart your gateway, hatch your bot, and you’re live.

Builders don’t wait. They build.

And the community has already made their choice:
Kimi ✖️ OpenClaw.

Try Kimi x OpenClaw before everyone catches on: http://kimi.com

Happy building 🚀

Kimi K2.5

A mentor once told me,

“Invest in yourself early. The returns compound for life.”

At that time, I didn’t fully understand it.
Now I do.

We spend years working hard…
But hesitate when it comes to upgrading our own skills.

Here’s the truth:

𝙊𝙥𝙥𝙤𝙧𝙩𝙪𝙣𝙞𝙩𝙞𝙚𝙨 𝙙𝙤𝙣’𝙩 𝙬𝙖𝙞𝙩.
𝙎𝙠𝙞𝙡𝙡𝙨 𝙘𝙧𝙚𝙖𝙩𝙚 𝙩𝙝𝙚𝙢.

This Holi season, instead of just adding color to your clothes…
Add value to your career. 🎨

Right now, Coursera Plus Annual is available at ₹7,499 (instead of ₹13,999) until 9th March.

Access to 10,000+ programs.
Top universities.
Industry experts.
One subscription.

We always say “I’ll start learning soon.”

Soon becomes next month.
Next month becomes next year.

And suddenly we’re behind.

Building your future is important.
But building the right skills is what makes that future powerful.

This could be the smartest ₹7,499 you invest this year.

If growth is on your mind, don’t ignore this.

Here’s the link:
https://lnkd.in/gZ9P499A

Let’s upgrade ourselves 🚀

Google just reset the AI career ladder.

One certificate.
Built for real work.

𝗧𝗵𝗶𝘀 𝗶𝘀𝗻’𝘁 𝗮𝗻𝗼𝘁𝗵𝗲𝗿 𝗔𝗜 𝗰𝗼𝘂𝗿𝘀𝗲.
𝗜𝘁’𝘀 𝗮 𝗰𝗮𝗿𝗲𝗲𝗿 𝘀𝗮𝗳𝗲𝘁𝘆 𝗻𝗲𝘁.

That gap?
It’s widening every single month.

𝗧𝗛𝗜𝗦 𝗜𝗦 𝗧𝗛𝗘 𝗗𝗜𝗙𝗙𝗘𝗥𝗘𝗡𝗖𝗘.

𝗚𝗢𝗢𝗚𝗟𝗘 𝗔𝗜 𝗣𝗥𝗢𝗙𝗘𝗦𝗦𝗜𝗢𝗡𝗔𝗟 𝗖𝗘𝗥𝗧𝗜𝗙𝗜𝗖𝗔𝗧𝗘

➡️ 6 short, practical courses
➡️ 20+ hands-on labs
➡️ A final project where you build a real AI solution

You’ll work with tools used in real jobs:

– Google AI tools
– Gemini
– NotebookLM
– AI Studio

Why this matters (a lot):
AI isn’t “nice to have” anymore.
It’s becoming baseline skill expectation.

This certificate:

✓ Is built from real job-market data
✓ Teaches how to apply AI, not just talk about it
✓ Ends with a Google-backed certificate employers actually trust

If you’re a professional in 2026 and
AI is still “optional” for you, the market has already decided otherwise.

Learn how to build with AI, not compete against it.

👉 Start here: https://lnkd.in/gRUcR9QP

AI won’t take your job.
But someone who knows how to use it might.

#ai

I kept seeing people talk about AI agents everywhere, but I didn’t really get the hype.

Then I watched Abacus AI Deep Agent build an app in a few minutes.

Frontend, backend, database, logic, it just put everything together while I was watching.

That’s when it finally made sense why people are so excited about this.

👉 http://deepagent.abacus.ai

Here’s what stood out while using it:

➡️ End-to-end apps from one prompt

You describe what you want, and it sets up the UI, backend, database, and forms.
It also does mobile apps now -  just explain the idea, and it builds something you can publish.

➡️ Websites and SaaS in one flow
Landing pages, logins, payments, and data storage are all handled together.

➡️ Complex products from simple explanations
You explain how it should work, and DeepAgent figures out the structure.

➡️ These are things people would actually use

CRMs, internal tools, Notion-style systems, and HR software.

➡️ Micro-SaaS feels a lot more doable

Small tools and niche ideas don’t feel like huge projects anymore.

➡️ Apps and games show up quickly
Sudoku, simulations, and interactive tools are ready to use.

➡️ AI tools built for specific roles

Founder helpers, research tools, and domain-specific apps.

➡️ Reports, decks, and research

Charts, visuals, and structured info without extra setup.

➡️ Spreadsheets turned into dashboards

Upload a file and get metrics and explanations right away.

➡️ ChatLLM is built in

So text, PDFs, images, videos, and code all live in one place.

For founders, this makes trying ideas a lot faster.
For teams, it changes how work gets split up.

Definitely worth keeping an eye on.
👉 Abacus AI Deep Agent
http://deepagent.abacus.ai

My developer quoted me ₹5,00,000
for a simple internal app.

All I wanted was:

➡️ Track my clients’ LinkedIn post performance
➡️ See engagement data clearly
➡️ Monitor growth trends
➡️ Generate clean reports

Nothing complex.
Just clarity.

₹5 lakh.

For a minute, I convinced myself…
“Maybe that’s the cost of building software.”

Then, while scrolling LinkedIn, I discovered Replit.

I decided to try it.

That decision saved me ₹5,00,000.

No servers.

I described what I wanted.

And I had a working, full-stack app.

Not a mockup.
Not slides.

A real app with logic, data storage, authentication, ready to use.

That’s when I understood something powerful:

Replit isn’t just for experimenting.

It supports the full journey:

👉 Start — Turn an idea into something real, fast.
👉 Build — Everything in one place.
👉 Scale — Production-ready, secure, built to grow.

Biggest realization?

We don’t always need a full tech team to validate an idea.
Sometimes we just need the right platform.

₹5 lakh saved.
One idea shipped.

If you’re sitting on an idea because “it’s too expensive”,

Maybe it’s not.

Maybe you just haven’t started yet.

➡️ https://lnkd.in/gg9cPEwR

P.S: I have already saved 5 Lakh Rs.  
Now it's your turn 😎

Cancel your AI subscriptions.

I know that sounds dramatic. But I actually did it after 2 years of paying for almost every AI tool out there.

I was opening ChatGPT for writing, research, and summaries.
Gemini for images.
Kling for videos.
Another tool for vibe-coding apps.
Another one for presentations.

Nothing was wrong with the tools. The problem was fragmentation.

Then I moved everything into ChatLLM by Abacus hi AI. - 

One place for all major AI models
GPT-5.2, Claude 4.6, Gemini 3 Pro, Grok 4.1 Fast, DeepSeek, LLaMA, same workspace, same context.

Images and videos without switching products
Nano Banana Pro, FLUX, Seedream, Ideogram for images.
Sora, VEO, Kling, Runway, Luma, Grok Imagine for videos.

Full-stack apps, websites, and SaaS from prompts
Type an idea and see it live. Layout, colors, copy, and logic all editable.

Presentations that don’t feel empty
Simple inputs turn into structured decks with research, charts, and flow.

An assistant who keeps working in the background
Tasks, searches, and workflows progress even when I’m not active.

PDFs become interactive
Upload documents, ask questions, and extract notes instead of reading line by line.

AI text that sounds human
Generate, humanize, choose a tone, and use it as-is.

Real-time web research
Answers come with sources, visuals, and context.

Deep Agent for real outputs
Apps, reports, dashboards, workflows, micro-SaaS.

A code editor that actually supports building
Write, run, debug, and improve without chaos.
At some point, it stopped feeling like using tools.
It felt like working inside one system.

That’s why I cancelled everything else.  Try it now, it’s only $10 a month - http://chatllm.abacus.ai

Yaar koi mujhe batao how is Manyavar so good at this??

They just dropped a Wedding Music Video with Vijay and Rashmika and I am not okay. 

The video is SO cute, the chemistry is insane, and Amit Trivedi ka music? Chef's kiss.

But also, let's talk about the big brain energy here. Manyavar didn't make an ad. They made a wedding film that people actually want to watch and share. No voiceover or "buy now." Just a beautiful story about a wedding that almost  just happened.

They literally created a cultural moment.

The timing is also wild. When Vijay and Rashmika are the hottest topic on the internet, Manyavar already had this in the bag. That's not coincidence, that's someone on their team who really understands the pulse.

Bohot din baad kuch aisa dekha jisme brand feel hi nahi hua. 

And that's the biggest compliment you can give a marketing team.

Vedant Fashions Limited - Manyavar-Mohey 

#Manyavar #WeddingMusicVideo #VijayRashmika

Some ads don’t sell a product.
They sell a feeling. ❤️

Myntra’s Valentine’s campaign “Pyaar Baantte Chalo” did exactly that.

On the surface, it’s about gifting.
But underneath, it’s pure marketing intelligence.

They didn’t shout discounts.
They didn’t push features first.
They led with emotion, love that’s simple, thoughtful, and meant to be shared.

And then… they slipped the product in naturally.

Here’s the smart part:
Valentine’s Day comes with pressure.
Forgot the gift? Running late? Panic mode.

Myntra M-Now quietly solves that anxiety with 30-minute delivery.

No urgency in the messaging.
Just reassurance.

That’s powerful marketing.

Because great ads don’t say:
“Buy this now.”

They say:
“We’ve got you. Go spread some love.”

Fashion became the language.
Speed became the support.
And love stayed at the center.

This Valentine’s, it’s not about how expensive the gift is.
It’s about the feeling behind it.

This is how brands win hearts ❤️

#myntra

When I was younger, I used to get irritated when my nani asked too many questions.

“How does this work?”
“Who decides this?”
“What happens if it fails?”

At the time, it felt unnecessary.
Today, it feels like wisdom.

Every AI system I’ve seen break in production broke for the same reason:
no one truly understood it.

It worked in demos.
It impressed in meetings.
But when something went wrong, there were no clear answers, only guesses.

The strongest teams I’ve worked with build differently.

They slow down first.
They analyze intent before writing logic.
They design how agents interact, not just what they output.
They build systems they can explain without slides.

That approach is exactly what Architect enables.

It follows the same discipline:
analyze → orchestrate → build.

Nothing hidden.
Nothing assumed.
Just glass-box transparency from the start.

Funny how nani’s questions ended up becoming a blueprint for how AI should be built.

I’ve been exploring Architect and seeing how it applies these principles to real workflows:
https://lnkd.in/g6grt-M6

I was reading an article this morning, and one thing just stopped me, the new Tata Punch.ev has been revealed at a starting price of Rs 9.69 lakh (ex-showroom). And once I went down that rabbit hole, I couldn't stop.

Now I follow car launches quite closely, and the EV space especially has been fascinating to watch. But what Tata has done with the new Punch.ev genuinely surprised me.

The safety package alone is something else. Over 60 safety features, including Hill Ascent and Descent Control, Electronic Stability Program, Hill Hold Control, ISOFIX child seat anchors, and even an SOS calling function built right in. That's not just car safety, that's peace of mind at a price most people wouldn't expect.

Then there's the connected car experience through IRA.ev, which comes standard across all variants. We're talking about real-time charge status, remote diagnostics, geo-fencing, valet mode, and alerts for everything from an open door to an abrupt charge cut-off. And if that wasn't enough, you can control the car from your smartwatch, lock, unlock, switch the AC on, and precool the cabin before you even walk to the parking lot.

On the comfort side, a voice-assisted electric sunroof, cooled glovebox, 90-degree door opening, and 366L of boot space are the kind of everyday touches that make ownership genuinely enjoyable rather than just practical.

A lifetime battery warranty on the 40 kWh pack ties it all together. Tata isn't just selling a car here; they're selling safety and confidence.

The more I read, the more I felt this isn't just a good EV. It's a genuinely good car.

I thought people were exaggerating when they said “AI agents change everything.”

Then I watched one quietly build an app from scratch.

In a few minutes, it had the frontend, backend, database, and logic in place.
Nothing fancy on the surface - it just… worked.

This is Abacus AI Deep Agent 
An AI agent that handles execution the way a small engineering team would.

👉 http://deepagent.abacus.ai

Here’s what really stood out:

➡️ FULL-STACK APPS FROM ONE PROMPT
UI, backend, databases, and forms created together in one flow.
And now mobile apps too. Describe what you want, and Deep Agent builds a full app you can publish.

➡️ LAUNCH AN ONLINE STARTUP IN MINUTES
Landing pages, login systems, payments, and data storage are handled together instead of pieced apart.

➡️ COMPLEX SOFTWARE & SAAS USING SIMPLE TEXT
You explain how it should look and work.
Deep Agent figures out the structure and builds it.

CRMs, internal tools, Notion-style systems, HR software built for real usage.

➡️ MICRO-SAAS IDEAS THAT FEEL POSSIBLE
Resume tools, niche utilities, and lead magnets ideas that used to feel heavy now feel worth trying.

➡️ APPS & GAMES GENERATED QUICKLY
Sudoku, Minecraft-style games, Conway’s Game of Life, and interactive tools - ready to use as soon as they’re created.

➡️ BUILD YOUR OWN CHATGPT-STYLE APPS
Founder assistants, workout planners, diet tools, research helpers, domain-specific AI tools.

➡️ REPORTS, DECKS & PRESENTATIONS
Charts, visuals, and structured insights put together in minutes.

➡️ SPREADSHEETS → INTERACTIVE DASHBOARDS
Upload Excel or CSV files and get metrics, explanations, and visuals automatically.

➡️ IMAGE & VIDEO GENERATION BUILT IN
Work with text, PDFs, images, videos, and code in the same place.

➡️ TURN RESEARCH PAPERS INTO AUDIO
Deep Agent turns long papers into audio conversations you can actually listen to.

➡️ DEEP AGENT BROWSER EXTENSION
Describe a workflow, and it executes each step automatically with no manual setup.

For founders, this changes how fast ideas can be tested.
For teams, it changes how work gets distributed.

Worth keeping an eye on.
👉 Abacus AI Deep Agent
http://deepagent.abacus.ai

I almost skipped today’s workout.

Dragged myself to the gym anyway.
You know the kind, low energy, zero motivation, headphones doing most of the work.

Mid-session, I collapsed onto a bench between sets.
Sweaty. Slightly annoyed. Staring at the ceiling like it owed me answers.

That’s when my brain did what it always does in those quiet gym moments, it wandered.

I started noticing the small stuff around me.
Things placed exactly where tired people pause.
Not asking for attention. Not trying to impress anyone.
Just… existing in the flow of the workout.

And weirdly, that felt right.

Because when you’re training, you’re not in “decision mode.”
You’re in survival mode.
Anything that fits naturally into that headspace stands out without trying.

It reminded me that the most effective things in life don’t announce themselves.
They show up where you already are.

Finished the workout.
Legs shaking.
Mind unexpectedly clear.

Funny what a random rest between sets can teach you.

Chemist at Play

A strong Series A isn’t just about capital.
It’s proof that the foundation is solid and the direction is clear.

This milestone reflects real execution, thoughtful building, and a team that understands what actually matters at scale. Credit to everyone involved for turning vision into momentum.

Congratulations Daytona on this well-earned achievement.

Looking forward to what comes next. 🚀

Daytona is announcing a $24M Series A, led by FirstMark, to give every agent a computer.

The market is starting to converge on a simple truth: the cloud wasn’t built for agents.

It was built for production workloads that are stateless, immutable, and optimized to run the same code the same way every time.

Agents don’t work like that.

They need compute that can be created on demand, then paused, forked, snapshotted, resumed, and destroyed mid-flight because agent work is exploratory by nature.

At Daytona, we’re building the infrastructure to make that possible with programmatic sandboxes. Think of each sandbox as a Composable Computer, with CPU, memory, storage, GPU, networking, and an OS composed when you need it.

And sandboxes are just the start. As agents take on more work, the infrastructure stack will have to be rebuilt from first principles, with the agent as the primary consumer.

Grateful to have FirstMark leading this round, alongside Pace Capital, Upfront Ventures, e2vc, and Darkmode Ventures, plus strategic investments from Datadog and Figma Ventures, and a group of incredible angels.

Most of all, thank you to our customers and the Daytona team shipping every day. We’re still early.

Full announcement: https://lnkd.in/dFEdAtim

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The Battle

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