Charles Tenot

CEO @lemlist & lempire. I share what I learn as the CEO of a profitable SaaS growing to $40M to $100M+. Follow me to learn from the journey.

I love Tech, Sales, Marketing and Leadership. 

I share my learnings and thinking on LinkedIn, don't hesitate to follow & interact.

COO / General Manager

Growing lempire from 20M$ to 100M$ while generating 35%+ EBITDA

lempire products: lemlist, lemwarm, Taplio, Tweet Hunter, lemcal - more to come

I have no idea what my kids' life will look like with all this AI. 
But one thing I'm sure of: they need to understand that you can build things that other people use.

So I started vibe coding apps with them.

Last week, we built a cookie spot rating app to find the best spots in Paris.

This weekend, we made a Harry Potter sorting hat quiz (the "Sorting Hat" test).

Each one took about 30 minutes. 
And they're better than most apps you'd find online for the same thing.

I don't know what jobs will exist in 10 years. 
I don't know what skills will matter most.

But kids who grow up thinking "I can build this" will be in a better place than kids who just think "I can use this."

PS: sorry the test is in French

CEO @ lemlist & lempire

I just watched our PM build a complete feature in 2 hours.

No dev involved.

He used Claude Code to create a working mockup, test all the edge cases, then generated the PRD from the code.

This is how our entire Product team works now.

Here's the process:
→ They download the full codebase locally.
→ They use Claude Code with custom skills we built for coding best practices.
→ They vibe code their features.
→ Build the interface.
→ Test the flows.
→ Catch edge cases nobody thought of.
→ Then they use AI to generate the PRD from the working prototype.

What they deliver to Engineering:
→ A fully functional mockup that devs can test
→ A detailed PRD with user stories already mapped out

This reduces conception cycle by over 50%.

Better product decisions because they can interact with the actual feature.
Fewer bugs because edge cases are caught early.
Less confusion between Product and Tech.

Most Product teams are still writing specs and hoping devs understand.
We're shipping working prototypes before the first planning meeting.

This is what all Product teams will do in the future.

Curious to hear from other Product teams: how are you using AI in your process?

Help needed: if you are looking for a Senior Finance profile, my life partner, Violaine, is available now.

After spending 3 years building a network of kindergarten for children with neuro developmental disorders, she is now available for something new.

Why I recommend her, even though I'm clearly biased:

→ Worked with top Private Equity firms globally
Always recommended afterwards

→ Hybrid experience with Senior Finance roles (M&A, Reporting) and 3 years of entrepreneurship where she ran notably finance for their 50 people business.
She can be both strategic & hands-on, she's not the "ivory tower" CFO.

 → Amazing analytical skills, she notably worked on complex problems in manufacturing, much more complex than SaaS.

 → Great business sense, easy-going, high work ethics

What she's looking for:
→ CFO or Finance Director-level
→ Interim or part-time
→ Open to full time with flexible work location
→ Start date from March 9th

Don't hesitate to like or comment to help me get more reach, thanks a lot 🙏

→ Phone: +33 6 69 25 57 26
→ Email: vsaintromas@gmail.com

As a CEO, I'm almost never a decision maker, yet very few salespeople understand this.

I still get cold called, emailed, 10x per day.

But even when the approach is solid, the best I can do is forward it to someone on my team. 

And most of the time, I won't even do this. 
Just because I don't want to make my team think I have evaluated the solution and I recommend it, and ultimately I'm not the one who makes decisions for teams.

Teams make their own decisions.

The CEO role is about creating alignment, building the best team, and challenge them when needed. 

But I'm not the one who will say "we should buy this."

If your outbound strategy is targeting CEOs, it probably works up to a certain point. 
But past 100 employees, it might not be the best approach, unless you are actually selling to CEOs, but I can count on my hand the number of things that I decide to buy myself.

The person who feels the pain, evaluates the tools, and makes the call is almost never the CEO.  It's the C-Level, the VP or Head Of. 

My advice: don't waste your time on the wrong target.
Map your buying process, find the person who feels the pain, evaluates the options, and owns the budget.
Then spend your time preparing a great outreach for them.

undefined undefined

I read Cognism "Top 21 GTM Tools" blog post.

Clay wasn't in it. 
lemlist wasn't in it. 
Apollo wasn't in it. 
Salesloft wasn't in it. 
Outreach wasn't in it.
Gong wasn't in it.

The biggest names in GTM. 

All missing from a "top GTM tools" list.

That's not an accident.

When a company publishes a "best tools" list, they're not trying to help you. 

They're running a content play.

The rules are simple: 
→ Include tools that don't compete with you 
→ Include tools that make you look good by association 
→ Never mention the ones that could actually take your customers

So here's the irony.

If you're ON a competitor's "top tools" list, it means they don't see you as a threat.

If you're NOT on it, it means you're the one they're worried about.

Next time you read a "best tools" listicle, don't look at who's on it.
Look at who's missing. ✌️

Yesterday we ran a webinar about how ElevenLabs runs Go-To-Market at 330M$ ARR. 

Over 1,500 people registered. If you missed it and want the recording just drop a comment and I'll DM it.

Here's my human summary of what Jonathan Chemouny shared after 1 year there.

About ElevenLabs GTM:

→ 330M ARR, +300M in 2 years. Just valued at 11B.
→ Only 400 people. Close to 1M ARR per employee.
→ GTM team is about 100 people.
→ Org is SDR + AE but they call everyone "GTM." 
Limited titles, limited hierarchy.
→ They maximize distributed ownership per country and region. 
They hire founder-like profiles who run their region like CEOs.
→ Top performers come from Finance, even Product backgrounds (👋 Oscar Lanzendorf)
→ Their sales close an average of 20X their OTE 
(source: Carles Reina podcast at 20VC, link in comment)
→ They grew outbound from 5% to 46% of revenue in one year. 
Outbound lets them better target ideal customers and segments.
→ Average deal size ranges from 30K/year to millions for Enterprise.
→ Outbound sales cycle is slightly longer than inbound but average deal size is higher.
→ They receive thousands of inbound leads daily and built an AI agent that answers prospects 24/7.
→ Everyone does outbound, even if you're hired as a potential GM-level.

What enables their incredible success:
→ Very high hiring bar. 4 interviews, harsh panels.
→ They hire for smarts, not experience. 
They don't want people who come with playbooks. 
They want people who can build playbooks.
→ They use AI a lot but will never run things 100% AI. 
Humans think of a creative way to approach an account and craft the message. AI handles things like voice notes or AI-generated video.
→ They meet prospects and customers in-person a lot. 
Jon believes humans should do things AI can't, like building real relationships.
→ LinkedIn and WhatsApp are their primary outbound channels. Quality before quantity.
→ They don't monitor activity metrics. 
They track the number of meetings done with prospects.

And of course, they have an insanely strong product.

I hope you find this valuable. 

If you have a company or GTM person we should invite next, don't hesitate to share.

---

Bonus: we created an agent that was fed on Jon's knowledge and our webinar prep document, I'll share the link with the recording.

cc thanks Rémi Kokabi, Domitille de Saint-Exupéry Rafael Ornia Mitchell

This guy has been in Sales for 20+ years. He helped build Intercom, Lattice, and now ElevenLabs. 

Next week, he'll be sharing his tactics to book meetings in 2026, and how ElevenLabs has been growing by +300M$ ARR in 2 years.

Here are few things I can tell you as a teaser:

→ How they increased the share of outbound from 5% to 30% in 12 months, and how their around 100 reps use lemlist

→ ElevenLabs is hiring "GTM" people. No title, no hierarchy, background mostly from VC or former founders

→ They give a lot of ownership to their sales team, who act almost as local CEOs working in pairs with Product to adapt to local markets

→ They mostly rely on full-cycle Sales handling both Inbound & Outbound. 
He'll explain why they decided not to specialize

→ Jon still does a lot of outbound himself, he built a few very creative tactics notably using AI in his messages. He will share a full breakdown of those that work best

This is certainly the most exciting Webinar we've run in months for anyone on a Sales team, so don't tell me you can't find 45 mins to get all these learnings. 

Link in the comments

And big thanks Jonathan Chemouny for unpacking so much value 🙏
cc Stan Massueras 💙

Intercom

Lattice

ElevenLabs

lemlist

GTM Europe at ElevenLabs

GTM Europe @ElevenLabs

You can beat 99% of companies by doing a few things well:

→ Set one clear vision and don't change it every 3 months 
→ Say "no" to everything that doesn't contribute to the strategy 
→ Remove low performers after weeks, not years 
→ Use your own product 
→ Talk to customers 
→ Keep reporting light 
→ Lead every meeting from the customer's standpoint

It looks simple written down like this.

But most companies don't have an execution problem. 
They just keep adding layers, processes, and distractions on top of it.

The companies that win aren't doing anything secret. 
They're just not getting in their own way.

I asked someone at ElevenLabs what makes their culture different. 
Their answer helped me understand how they went from 30M to 330M ARR in less than 2 years.

Yanek Brinkmann, one of their GTM team, told me:

"It's the closest you can get to doing your own business while still being in a job."

I've always believed that someone who works like they're running their own business has 10X more impact than someone who's just doing their job.

The difference is ownership. Real accountability. 

The kind you only get from people who actually care.

You'll get more from someone less experienced with insane grit than from someone senior who's just collecting a paycheck.

ElevenLabs understood this. 

And they still operate like that at 400 people.

Imagine 100 GTM people with a founder mindset.
→ Clear ownership on their region. 
→ Working directly with Product to adapt when needed. 
→ Flat org. No titles.

Their reps close 20X their OTE. The industry average struggles to hit 5X.

But this only works if you actually distribute ownership and responsibility. 
Not just talk about it.

I'm convinced this is how world-class companies are built now. 
And they will crush big groups with pyramidal organizations.

➡️ Later today, we're sharing more about ElevenLabs's playbook with Jonathan Chemouny. 

Already 1,350 people registered. You can still take your spot, it's free value.
No recording. We want people live and contributing.

Link in comment.

Really happy to see lemlist ranked #1 software in France on G2.

Not because of the ranking itself but because of what it took to get here.

The last few months have been the strongest innovation pace we've ever had. 

And all of it comes from listening to our 20,000+ customers every single day.

Sales is still one of the hardest jobs in most companies. 
No product has made it easy yet. Including ours.

But that's exactly why we keep building.
Let's keep going.

Big up to the team ❤️

I have data-backed proof that spray & pray doesn't work.

It comes from 350M+ emails and 4.5M LinkedIn messages sent with lemlist over the past months.

This chart represents our 20,000+ customers.

From pre-revenue founders to companies with 300M$+ in ARR and 100+ sales reps.

How to read it:
→ Horizontal axis: our 10 deciles of customers, from the 10% with the worst results to the 10% with the best
→ Each bar: the volume of messages sent
→ Vertical axis (line): the average reply rate

What we see:
There's a clear negative correlation between volume and reply rate.
The fewer messages teams send, the higher their reply rate.

In detail:
→ The first group shows that the bottom 10% aren't sending enough messages, or just lack adoption. They'll probably churn unless they use lemcoach.
→ Then across the other 9 deciles, each one has lower volume and a higher reply rate than the previous one.

If this doesn't show you that it's better to do less but better, I don't know what will.

Spoiler: it's not the spray & pray "AI SDR Agent" that will solve this.

Every Tech company board is the same: "We need to go Upmarket"

The reason is usually financial. 

Going upmarket increases "Enterprise Value", because is usually means higher retention.
And of course, investors want to increase enterprise value.

But going upmarket at the expense of losing your historical market isn't always the right call.

You might lower churn. 

But you can lose growth and end up struggling.

This is why at lemlist, we spent over 9 months debating if we should go upmarket or not. 

Because serving small customers was always important to us for many reasons:
→ They trusted us first
→ More customers = bigger brand
→ Small companies can become big ones with time
→ Serving emerging businesses drives real purpose 
→ Startups are usually the innovators, they push us to keep improving the product

We finally decided to build lemlist for sales teams and go upmarket, but we decided to do it slowly, not as a pivot, but as a continuous progress of the platform. 

And it paid out because today we have customers from 1 to 150 users.
We have grown by +70% in 2025 while being profitable, and across all segments.

After seeing from the inside 4 different companies go upmarket, I wanted to share my learnings:
Wednesday with Lucas Bédout from Hyperline, we are organising a meet-up in Paris.

Here's a preview of what we'll talk about:
→ Why it took us 9 months to decide between going upmarket or continuing to build a suite for founders 
→ The stages we went through, mistakes we made, and what we did right 
→ Key people we hired (hey Yann Guilleux) 
→ How we run inbound & outbound, and how we use our own product 
→ How we grew the sales team from 1 person (hey Tal Baker-Phillips) to 30+, across 3 areas and 2 roles (AE & Inside Sales) 
→ How we signed our first 100K+customers, coming from 1K$ARPA 3 years befre
→ How we monitor productivity & measure performance 
→ What we built in the product to maximize conversion & score leads 
→ How we organized RevOps & Tools 
→ Our Sales Quota, Payback and how we maintain <3 months payback while adding Sales headcount

Bonus: how we increased ARPA by +30% in one month by changing the wording of one question in our product onboarding 🔥 

Free event. Paris. March 11.
Link in comments.

cc: thanks Antoine Leprince for the organization 🙏

Slack, Figma, Notion, Dropbox, Datadog. They all started PLG. 
None of them stayed PLG. Here's why:

PLG is great for small customers. 

Low CAC, high scalability, self-serve magic. 

But as your product improves, you start attracting bigger companies. 
And enterprise buyers don't convert on PLG products. 
They need help. They need sales.

This is where PLG + Sales-Assisted comes in. 

And I'm convinced it's the ultimate state for SaaS:
→ PLG for small customers. Low CAC, fully self-serve, scales beautifully.
→ Sales-assisted for larger customers. You can segment by geo, industry, company size and organize your team around it.

This combination maximizes conversion across every customer segment.

Since we added a sales motion at lemlist, our growth has never been stronger. 

We grew +70% last year. PLG + Sales-Assisted together.

But here's the hard part:

In PLG, everything is streamlined: credit card payment, automated provisioning and payment retries.

But when sales gets involved, you start dealing with:
→ Custom quotes
→ Custom terms and legal discussions
→ Discounts and approval workflows
→ Custom billing terms and payment methods

You go from a scalable model to a non-scalable model overnight. 

And that's where most companies struggle.

The good news is that with the right tech, you can now build scalable systems even for sales-assisted motions.

On March 11, I'm co-hosting an event in Paris with Lucas Bédout (CEO at Hyperline) and the Business Operations Network to dig into exactly this. 

How to build a hybrid revenue engine that scales.

Free for BON members. 

Link to register in comments.

cc Victoria Dalleau 🙏

Nothing prevents you from sending 10 follow-ups. 
And yes, you'll get more replies.  But it's doing invisible harm to your outreach.

If you look at reply rates by number of follow-ups, the pattern is clear. 
Each follow-up increases your chance of getting a reply. Even a little.

But the incremental gain drops fast. 
After 4 follow-ups, you're barely moving the needle.

And here's what most people miss.

Every extra follow-up increases the chance your leads mark you as spam. 

Not by replying. 
By hitting that little spam button because they're annoyed.

When that happens, it hits your domain and email reputation. 
Your emails start landing in spam more often. 
Not just for that lead. For everyone.

This is the classic trap where short-term gains quietly destroy long-term results.

More follow-ups today = Fewer emails delivered tomorrow.

As a CEO, when people agree with me too easily, I don't take it as a compliment. I take it as something to question.

Things I don't expect from people in the team:

→ Telling I'm right
→ Liking my LinkedIn posts
→ Being overly positive on my ideas and initiatives
→ Nodding in meetings
→ Sugarcoating bad news
→ Using my notes / inputs as is without re-working them
... and certainly not telling me I'm smart, or giving any compliment

Here's what I actually value:
→ Saying what you think
→ Thinking on your own before defaulting to the group
→ Coming to me when you disagree or don't understand, especially when it's uncomfortable
→ Bringing problems early and as they are
→ Having a point of view and defending it

I recently listened to a podcast from an experienced CEO who said his biggest mistake was surrounding himself with people who gave him compliments but weren't truly competent at their jobs.

The best people I've worked with were never those who constantly agreed with me, they were the one who made me change my mind.

We’re organizing a webinar with of the brains behind Ramp’s GTM systems, now building Perplexity’s Enterprise growth engine. 

Nathan spent 3.5 years at Ramp building the business systems behind one of the most successful sales-led companies in the world.

Now he's Head of Enterprise Ops at Perplexity, building the GTM machine of an AI company. From the inside.

I'm really excited about this one. Nate is an absolute GTM master, and we're very lucky to have him.

There are hundreds of LinkedIn posts telling you to comment "Claude" to get an AI config that runs your GTM on autopilot. 
We've tried many of them and the results are always disappointing.

Over the past months, I've interviewed 50+ companies to understand how they actually use AI for sales. 
The reality is far from what you see on LinkedIn, most sales teams are still doing things manually, with a ChatGPT tab open on the side.

Nate is different: he actually built AI-powered GTM systems that people use every day, and that deliver real ROI. 

Here's a preview of what he shared with us:
→ Reps used to spend 30 min prepping each account. 
Now they trigger deep research in natural language and get a full brief in minutes.

→ Outreach used to be {first_name} + generic template. 
Now it references real strategic context. 
Earnings calls, hiring signals, tech stack changes.

→ RevOps used to own every playbook. 
Now the rep is the operator. No bottlenecks. No stale processes.

→ And some things they tried but decided not to release, usually because AI can prep you, but AI can't be you 👀 

He's going live with us to walk through the exact workflows. 
Not theory, but how things actually runs in production.

If you lead Sales, RevOps, or GTM, this one's worth your time.

Link in comments.

VIP hosts: Pierre Touzeau and Rémi Kokabi  🔥

We have 2 data analysts at lemlist, but one is paid in tokens and never sleeps. 
It's's called Squilly. 

Squilly is our AI data analyst. 

It runs queries, builds dashboards, and answers data questions from anyone on the team. 24/7.

You don't have to wait that someone has time to handle your query.

What's good with Squilly is that he qualifies your need before answering.
As you can see in the video, it always asks what exactly I'm looking to know.

You can see that it shows you the query & the cost too, pretty useful.

Squilly now handles a significant share of our data requests.
It's pretty cool because it manages simple, low value requests and our Data team can actually focus on more complex tasks. 

Employees have answer faster as it removes the ticketing logic.

It's the same pattern I already shared with AI managing 56% of our support tickets, AI does a great job to manage most simple tasks, leaving human with more value-adding things to do. 

Big up to the Data team 👏

This week, a bot fixed its first production bug at lemlist. 

Here's what happened:

A user double-clicked a delete button. That sent two requests at the same time.  The API returned a 409 conflict error.

Our bot detected it in the logs, investigated the root cause, traced the code path, wrote the fix, and submitted a pull request with the right reviewers assigned.

Total human involvement: reviewing and merging the PR.

In the meantime, we also had 3 features shipped to production by... Product Managers.

A year ago, we never thought this would happen so fast.

I was talking to a friend, a developer with 20+ years of experience.
He told me his workflow has completely changed.

Before, he spent most of his time in "flow." Going from one coding step to the next.
Now, he spends more time thinking about the overall architecture. 
Then he works with AI to develop the different parts. Then he reviews the code. Makes sure the logic is right.


And yet, we're still hiring developers.

Because our bet is that the job isn't disappearing. It's shifting. 
And good developers will always be a scarce resource required to build great products.

You could argue AI will improve so fast it won't need developers at all.

My gut says you'll always need people who understand systems deeply enough to work with AI.

But we'll see. What's your take?

Sending a LinkedIn message in a sequence increases email reply rate by 38%. 
And no, that's not a typo. I'm talking about email replies. 

LinkedIn reply rates are averaging 15%, vs. 1-3% for emails (up to 15X higher)

But here's what we found across 35M leads:

When you add LinkedIn steps to an email sequence, your emails start getting more replies too.

The prospect sees your name on LinkedIn. 
Maybe they check your profile.
Maybe they read your message.

Then your email lands, and you're not a stranger anymore.

That familiarity is worth +38% on your email reply rate.
This data is coming from 35M leads that we analyzed at lemlist.

This is pure facts that multi-channel is the right way to do outbound today, and why we build lemlist to include as many channels as possible.

---

6 examples why short-term growth almost always comes at the expense of long-term growth:

→ Hiring the least worst candidate because you need someone now vs. waiting for the best even if it takes 6 more months. 
Impact compounds. An A-player generates 100X more value than a B-player.

→ Sending 10 follow-ups to squeeze out more replies vs. stopping at 4. 
Each extra follow-up barely moves the needle but increases spam reports. 
Your domain reputation takes the hit and deliverability drops for everyone.

→ Blasting your entire TAM in one month to hit pipeline targets vs. working accounts in waves. 
You get a short spike, then you've burned your brand with every account.

→ Cutting product investment to boost short-term margins or hire more Sales. Customers don't leave immediately. 
They leave 12 months later when a competitor ships what you didn't.

→ Discounting to close a deal before quarter end vs. holding your price. 
You hit this quarter's number, but you've trained the buyer to expect discounts. Next renewal, they push harder. 
They talk to their friends. 
And your average deal size erodes across the whole pipeline.

→ Not promoting a great rep with manager potential because they're bringing in short-term revenue. 
They'll leave 6 months later. And you'll end up hiring someone less good.

Every one of these looks like the right call in the moment. The cost just shows up later.

That said, there are moments where you need to move fast and accept some debt. 

The interesting part is knowing when you're making a conscious trade-off vs. when you're just not seeing the long-term cost.

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 

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 😎

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 🚀

Building a 24/7 financial assistant used to sound like something only Wall Street firms could afford.

Now anyone can do it in minutes.

I recently built a simple Autonomous Financial Intelligence System using Kimi Claw.

Just a smart AI agent that:

➡️ Tracks financial data
➡️ Generates automated reports
➡️ Sends insights on schedule
➡️ Remembers preferences over time

Instead of constantly checking dashboards and market updates… the system brings insights to me.

A few things I love about it:

✓ Runs 24/7 in the cloud
✓ Generates weekly and daily financial reports
✓ Uses thousands of built-in skills for analysis
✓ Stores data and past insights with persistent memory

The carousel breaks down the exact steps I used to build it with Kimi Claw.

Now it's your turn.

Do check out
➡️ https://www.kimi.com/bot

Kimi AI 

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

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

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 never thought that a task as simple as booking a househelp could teach me a business lesson.

Last week, I tried Urban Company for the first time.

Service done. Payment done. I thought that was it.

Then the app asked:
“Do you want to book the same professional next time?”

A tiny question… but a genius idea.

Because in service businesses, the hardest part isn’t getting a customer once.
It’s making them come back.

Urban Company quietly solves that problem. The next time you open the app, the professional you already trust appears as a preferred option.

Just comfort and familiarity.

Most companies chase the first sale.
The smart ones? They make the second sale effortless.

Small product decisions = big retention wins.

P.S: What’s one small feature in a product or service that made you come back again and again?

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.

A B2B fintech brand just made me stop scrolling. That doesn't happen often.

Cashfree Payments dropped "One of Your Kind" and it is nothing like what you expect from a payments company.

No product pitches. No feature talk. Just the real moments behind building BigBasket, Third Wave Coffee, RedBus, Heads Up For Tails and more.

As someone who lives and breathes brand storytelling, this is how you build emotional equity in a space everyone treats as a commodity.

Every business builds its own way. The infrastructure behind it should understand that.

This is what intentional brand building looks like.

Shoutout to Akash S. and Reeju Datta for bringing this story to life. 👏

#CashfreePayments #OneOfYourKind

For over a decade, Cashfree Payments has powered payments for 1 million+ businesses across India.

Working closely with startups, D2C, SaaS, travel and growing businesses reveals something quickly.

No two successful businesses operate the same way - each is one of a kind. 
Some brands scale through flash sales.
Some run marketplaces with multiple sellers.
Some deal with COD orders and returns.
Some start selling globally from day one.

Every business solves problems in its own way. And their payments need to work the same way.

At Cashfree Payments, we build payments around how businesses actually operate and what they need. Whether you are processing your first hundred orders or scaling to millions of transactions.

Cashfree Payments. One of Your Kind.

bigbasket | | redBus | Heads Up For Tails | Third Wave Coffee | Prashanti Sarees

#OneOfYourKind

Today’s social media scroll came with a pleasant surprise.

I came across RADHA Diamond and Gold Jewellery, and for a moment it felt like the jewellery brand KISNA diamond and Gold Jewellery had introduced a new identity.

But the idea behind it was far more meaningful and unique.

For Women’s Day, the brand chose to rename itself, placing a feminine power at the forefront as a tribute to the strength, grace and wisdom.

It’s a subtle gesture, but one that speaks volumes.

Because sometimes, the most powerful tributes simply place women where they truly belong, at the heart of it all.

#InternationalWomensDay #HonouringHer #TodayIAmRadha #KISNADiamondAndGoldJewellery #CelebratingWomanhood

taplio

The Battle

Charles Tenot

Vidhi Toshniwal

Followers

Posts

Engagements

Likes

Performance ScoreCharles Tenot's LinkedIn Performance

Performance ScoreVidhi Toshniwal's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Charles Tenot

Vidhi Toshniwal

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);}Charles Tenot's LinkedIn Performance

Performance ScoreVidhi Toshniwal's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreCharles Tenot's LinkedIn Performance