Ramli John

Author of Product-Led Onboarding (+30K copies sold) | First Round Fast Track Mentor | Content Director at Appcues.

⭐️ Follow me for helpful tips to onboard, delight, and keep your customers coming back to your product.
📔 Author of Amazon #1 bestselling book "Product-Led Onboarding." 👉 𝙎𝙀𝘼𝙉 𝙀𝙇𝙇𝙄𝙎, Founder of GrowthHackers.com: "Product-Led Onboarding is 𝐦𝐮𝐬𝐭-𝐫𝐞𝐚𝐝 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲𝐨𝐧𝐞 embarking on the critical activity of improving their user onboarding." 


⚡️ I use my multi-disciplinary skills in marketing, design, and software development to help product-led SaaS companies analyze their whole customer's journey and funnel to identify growth opportunities to 2-3X their MRR. 

Often, that means designing and implementing experiments to increase activation rate (trial-to-paid or free-to-paid conversions), decrease churn rate, or increase average revenue per user (ARPU)

If you asked my friends and colleagues how they would describe me, they'd say I'm resourceful, proactive, and entrepreneurial

►► CONTACT INFO
▷ Send a connection request
▷ Write me a note at ramli [at] ramlijohn.com

Founder

A weekly show and newsletter for marketers looking to level up their marketing and career. I interview world-class marketers to uncover the secrets, strategies, and frameworks behind their wins. In each episode, guests reveal three things:  (1) a marketing power-up,  (2) a real-world example of that in action, and (3) a power-up that’s helped them take their career to the next level.

Ramli "RJ" John

When your product team skips user research (and just builds fast with AI)... 🤡


AI lets you ship in days, not weeks. But without user research, speed just gets you to the wrong place faster.

A product leader was about to ship a feature last week. AI-assisted code. Cloud deployment ready. Built in 3 days.

Then someone from customer success flagged something: "This solves a problem our users stopped complaining about 6 months ago."

One conversation. Saved weeks of wasted effort.

We can build faster than ever. AI tools, cloud code, vibe coding—the speed is real.

But speed without direction is just efficient wandering.

The real question isn't "Can we ship this?"

It's "Should we?"

That's where user research becomes non-negotiable.

Here are 5 ways to quickly validate ideas before you ship:

1. Run a 5-second test on your concept (does it communicate what you think it does?)
2. Send a quick survey to your target segment (10 questions max)
3. Do 3-5 unmoderated usability tests on a prototype
4. Interview 5 users who match your ICP (even 15-min calls work)
5. Card sort your information architecture before building navigation

None of these take weeks. Most can be done in days.

Tools like Lyssna make this even faster. You can recruit from 690K+ vetted participants, run moderated or unmoderated tests, and get results before your sprint ends.

Speed is a competitive advantage.

But only when you're building the right thing.

What's your go-to method for quick validation?

PS. Save this for the next time you're tempted to ship something fast without validating it first. Future you will thank you.

Join the AI Product Leaders Summit on 3/24 at PLSummit.ai. Founder @ Delight Path. 2x best-selling author. New book “Eureka” now available. Author of “Product-Led Onboarding” (+40K copies sold).

The AI Product Leaders Summit is back on 3/24 with 15 speakers. 500+ product leaders already registered. Join free: https://lnkd.in/gWfqMNZN

Every speaker is actively building AI products or leading teams through AI transformation right now. No theory. Just what's actually working (and what flopped).

The lineup:

→ Deepti Pradeep  and her team (Adobe) on how Photoshop got 100k+ of users in 30 days by launching inside ChatGPT
→ Jacob Bank (Relay.app, ex-Google Gmail/Calendar) on the 3 AI agents every product leader should "hire"
→ Mickey Alon (Foldspace AI) on Agent-Led Growth—when your product does the work for users
→ Christine Itwaru & Katy Nardozzi (Userflow) on dogfooding their way to better product decisions
→ Joe Formica (Lyssna) on where AI misleads product decisions (and how to avoid it)

Plus two expert panels:

→ Angela Sze (Sr. Director of Product at Fullstory), Shannon Vettes (CEO/CPO at Usersnap), Lauren Schuman (VP of Product Growth at Close) on shipping AI features without losing customer trust
→ Betsy Shaak (VP Product Voxpopme), Greg Leach (Sr. Director at 7shifts), Partho Ghosh (VP Product @ Uberall), and Priyanka Sahni (Product Lead at Meta) on how product teams are using AI to cut the busywork

Here's what you'll walk away with:

1. How Adobe turned ChatGPT into a growth channel (and whether you should too)
2. Which AI agents actually save PMs time vs. pure hype
3. How to ship AI features without confusing users or breaking trust
4. Where AI creates blind spots in product decisions

March 24th. 10 AM - 3:30 PM ET. Virtual. Free.

Register for free: https://lnkd.in/gWfqMNZN

What's the biggest challenge you're facing with AI products right now?

PS. Tag a product leader who needs to see this. They'll thank you for it. 😊

It's been 2 years since I've had a podcast show. Tomorrow, that changes! Product Leaders Lab by Delight Path drops at 8 am ET. 🎉


I waited because I didn't want another show. I wanted something that actually aligned with what I'm building—a media and community brand for product leaders.

The first episode is "The AI Adoption Pressure."

Your team is scrolling LinkedIn, seeing posts about AI replacing jobs. Leadership is pushing hard on adoption. Everyone's overwhelmed. No one knows where to start.

Two product leaders faced this exact moment. Same pressure. Completely different approaches.

Greg Leach (Sr. Director/GM of Expansion Revenue at 7shifts) built a cross-functional AI committee. Volunteers from every department. Monthly demos drawing 100+ people. Department budgets for experimentation. Bottom-up learning across the entire company.

Joseph King (Sr. Director of Product at Crucial Learning) took a different path. His team invested in sending four leaders to Kellogg for AI certification. Frameworks first. Leadership alignment before company-wide rollout. Top-down, methodical approach.

Both worked. But for very different reasons.

This episode breaks down what each leader did, why they chose their approach, and what you can learn from both paths.

No generic advice. Just real decisions, real trade-offs, and real outcomes.

🎧 Search "Product Leaders Lab" on YouTube, Spotify, or Apple Podcasts.

Tomorrow. 8 am ET. See you there!

The Product Leaders Lab podcast show drops 2/24. 🎉 I can't wait to share real stories from product leaders. Here's a sneak peek at what's coming in Season 1:

→ Greg Leach (Sr. Director of Expansion Revenue @ 7shifts) - How creating an AI adoption committee with 15% of his company reduced automation tasks from hours to minutes—without hiring a single AI expert.

→ Michelle Green (Director of Product @ Cohley) - Why showing designs to customer success before they're "completely baked" saved her team from building the wrong AI feedback flow.

→ Christine Itwaru (VP of Product @ Userflow) - What happened when her "hands-off approach" to build trust led to the biggest launch failure of her career—and how she recovered.

→ Matt LeMay - How he recovered from a feature launch failure and how his team showed him grace.

→ Joseph King (Sr. Director of Product @ Crucial Learning) - How this product leader cut through the AI noise—turning curiosity into capability and education into strategic advantage.

→ David Pereira - Why stepping back from product decisions as a new leader felt like giving up control—until he realized his team was his product now.

→ Shannon Vettes (CPO @ Usersnap) - How she made the biggest bet of her career only 6 months into her leadership role with an AI feature that changed the trajectory of the company.

→ Netali Jakubovitz - How she created an entirely new role called "Prompt Ops" to scale AI across her platform without drowning her team.

And many more. I'm still recording episodes for Season 1.

The Product Leaders Lab by Delight Path is not another interview show. Here's how it works:

One tough scenario. Two veteran product leaders who've lived it. Completely different approaches. Documentary-style editing (20-25 min, not 60+ min rambling).

If you're a VP, Director, or Head of Product with a defining leadership moment you want to share, DM me or tag them below. I'm looking for more guests!

Launching Tuesday, February 24, 2026. Stay tuned!

Building a community for product leaders (VP and Director-level). Founder @ Delight Path. 2x best-selling author. New book “Eureka” now available. Author of “Product-Led Onboarding” (+40K copies sold).

Most product onboarding fails because of "click tax." More clicks = higher drop-off. AI can fix this. Here's how...


First, here's what the traditional flow could look like:
→ Click on Document Templates
→ Pick a template
→ Update the template
→ Save and send

4 steps. Each one adds cognitive load. In B2B, it's worse. You've got multiple personas with different expertise, different outcomes they're chasing.

One-size-fits-all education doesn't work.

AI can fix this. The shift: Don't educate → generate.

Instead of teaching users how to navigate your platform, help them generate the outcome directly.

Anvil did this. Now users just describe what they need: "Create a template for a B2B SaaS purchase agreement."

Then they watch it get built. Custom-made for them.

From 4 steps to 2. From education to generation.

Tools like Foldspace AI are making this possible without custom code. Your team doesn't have to build an agentic experience from scratch.

This is where activation is headed. Less hand-holding. More instant value.

How are you using AI to reduce click tax in your product?

Product Leaders Lab show drops next week. And honestly? It's never been harder to be a product leader.

The pressure to ship AI features. The endless stakeholder alignment. The decisions that keep you up at night.

Product Leaders Lab by Delight Path is where real product leaders share how they handled their toughest moments.

The decisions.
The tradeoffs.
The consequences.

Featuring stories from leaders at Google, Spotify, and more.

No theory. Just real leadership.

📅 First episode drops February 24

🎧 Follow & subscribe:
YouTube: https://lnkd.in/g2FsrjUb
Spotify: https://lnkd.in/gWwS-Rv8
Apple: https://lnkd.in/gAzQJb7Q

See you there.

Building a peer community for product leaders (VP and Director-level). Founder @ Delight Path. 2x best-selling author. New book “Eureka” now available. Author of “Product-Led Onboarding” (+40K copies sold).

Episode 1 of Product Leaders Lab is officially LIVE. 🎉 Leadership is pushing AI. Your product team is overwhelmed. They're watching what you do next. What do you do? 

Two product leaders faced this exact moment. Same pressure. Completely different solutions.

Greg Leach (7shifts) built a cross-functional AI committee. Volunteers from every department. Monthly demos drawing 100+ people.

Joseph King (Crucial Learning) was one of four leaders from his company who joined the Kellogg School of Management's AI certification. Frameworks first. Leadership alignment before rollout.

Bottom-up vs. top-down. Both worked. But for very different reasons.

This episode breaks down what they did, why they chose their approach, and what you can learn from both paths.

🎧 Search "Product Leaders Lab by Delight Path" on YouTube, Spotify, or Apple Podcasts.

💬 Drop your biggest takeaway in the comments.
🔁 Share this with a product leader feeling the AI pressure.

PS. Thank you to the founding partners of the Product Leaders Lab: Userflow, Lyssna, and Foldspace AI. They've made this possible and whole 10-episode season possible.

PMs have been waiting on devs to build prototypes for decades. That's changing with Claude Code. So, I'm hosting a free workshop about it.

Jerome Valdez (Head of Product Design at Plotly, 20+ years experience) will share his process for building AI prototypes with Claude Code and Cursor—the tools he uses daily to ship working prototypes in hours, not weeks.

In this session, product managers will learn how to:

→ Validate ideas before committing engineering resources
→ Test concepts with users and stakeholders faster
→ Stop waiting for dev capacity to explore new directions

Jerome's tested Replit, Bolt, Lovable, Gemini, Windsurf, and more. He'll show you which tools actually work (and which don't).

This isn't theory. It's a live demo of his real workflow.

📅 Thu, Feb 26, 2026
🕛 12:00 PM EST (1 hour)
💻 Virtual (Zoom)
💰 Free

239+ product folks have already signed up.

Sign up for free here: https://lnkd.in/g5dGd3qB

Can't make it live? Register anyway, and I'll send the recording. 

But, you'll miss the live demo and Q&A.

See ya there!

A product leader recently told me their team spent 6 hours a week just looking at dashboards. Not fixing things. Not improving onboarding. Just checking metrics to see if something broke.

"We have all this data," she said. "But we're always reacting, never ahead of it."

This tracks with what I'm seeing across product teams.
You've got analytics. You've got dashboards. You've got behavior data.

But you're still playing detective, manually hunting for what changed, why it matters, and where to fix it.

So, when I saw FlowAI Insights by Userflow, it caught my attention.

It flips the monitoring model. Instead of you watching dashboards, it watches your flows and flags what needs attention.

Drops in completion rates. The exact step causing friction. Only the high-impact stuff.

Then it links directly to where you fix it.

The part I keep thinking about: teams are catching issues before users complain. Spikes in errors, step drop-offs—the silent killers that usually take weeks to surface.

Less time analyzing. More time improving.

Honestly, this feels like where product ops is headed. Proactive instead of reactive.

Are you spending more time monitoring than actually fixing things?

If you want to check it out: https://lnkd.in/g7msgNFg

ChatGPT isn't just a tool anymore; it's a growth channel. It's how Adobe got 100K+ new users in 30 days. They're sharing exactly how they did it...


Most product leaders are asking: "How do we add AI to our product?"

Adobe asked a different question: "How do we get our product INTO AI platforms?"

That reframe led to one of their boldest growth bets.

They launched Photoshop inside ChatGPT. Six weeks. Ungated. No login required.

Here's the shift that matters:

Instead of treating AI as a feature to bolt on, Adobe treated AI platforms as the new top of funnel.

Think about it:

→ Millions of people already inside ChatGPT daily
→ Zero friction to try Photoshop (no login, no paywall)
→ Users discover Adobe where they already are

This isn't about adding AI to your product anymore.

It's about getting your product in front of AI users.

Want to hear the full story?

Deepti Pradeep (Sr. Director of Product Management, Growth at Adobe) is sharing the decision, the trade-offs, and what they learned—along with her team members Anthony Lewis (Principal PM) and Shalini Ahuja (Senior PM, Photoshop).

They're speaking at the AI Product Leaders Summit I'm hosting.

📅 Tuesday, March 24 | 10 AM - 3 PM ET
💻 Virtual. Free.

Register here: https://lnkd.in/gWfqMNZN

What AI platform could be YOUR distribution channel?

🚀 Only 3 days to go! The first episode of Product Leaders Lab drops this Thursday! 🎙️ Don’t miss it, follow us and turn on notifications so you’re ready!

#ProductLeadersLab #Countdown #ProductManagement #LeadershipJourney #TuneInThursday

AI isn't optional anymore. It's the future of your business. But forcing it with memos and hoping it'll stick? That’s a recipe for failure. 

Building an AI-ready culture starts with genuine support, not just mandates. What’s your biggest challenge with AI adoption? Drop your thoughts below.

🎥🎧 Stream the full episode on YouTube, Spotify, and Apple Podcasts! 

#AITransformation #LeadershipTips #FutureOfWork #BusinessGrowth

Your biggest product launch just flopped. Do you protect your team or fix the product first? What do you do? Here's what Christine and Matt did...

Christine Itwaru (VP Product and Design at Userflow) knew two hours in. She immediately went into "mama bear" mode—told her PM to shut out Slack, took the heat herself, and shielded her team while they fixed it.

Matt LeMay (Product Advisor and Author) watched their Bitly relaunch get publicly destroyed. Roger Ebert posted about how terrible it was. People threatened to burn down their office! It took months before they could pivot.

One moved in hours. One struggled for months. Both eventually recovered.

This episode breaks down:
→ How to protect your team when everything's on fire
→ Why setting success criteria BEFORE launch saves you from rationalizing failure
→ When to fix fast vs. when a full pivot is the only path forward

🎧 Stream the full episode on YouTube, Spotify, and Apple Podcasts. 
Search "Product Leaders Lab by Delight Path."

💬 What's the most common reason you've seen product launches fail? 
Drop it in the comments.

🔁 Share this with a product leader who's been through launch hell.

—

Thank you to our partners for supporting the show:

🏆 Userflow: Guide users, answer questions in the moment, and continuously improve product adoption—all without writing code.
🙋‍♀️ Lyssna: Create research studies, recruit the right participants, and gather feedback to shape products users truly love
🤖 Foldspace AI: The AI Operator that turns your SaaS AI-first in days. Their embedded agent understands your users' intent and executes it on their behalf. 

—

My favorite quote from this episode: "Someone's threatening to come to our office and burn it down. Should we delete that or keep it?" — Matt

People rush to add ChatGPT features or AI tools, expecting instant wins. But without a clear strategy, those features often flop after months of effort.

What's your biggest concern with AI adoption right now?

🎥🎧 Stream the full episode on YouTube, Spotify, and Apple Podcasts!

#AIstrategy #ProductGrowth #BusinessInnovation #TechTips

Two years ago, we thought AI would take our jobs. Turns out, standing still is what actually will.

I talked to Joseph King, Sr. Director of Product at Crucial Learning, about how his team went from fear to treating AI as a collaborator.

But here's the part that stuck with me:

His company had an AI strategy. It just sat in a Slack channel nobody checked.

Teams didn't know the company's actual stance on AI. So they guessed. Or did nothing.

The fix wasn't complicated. Document it. Share it. Make it visible.

Most companies aren't failing because they lack an AI vision.

They're failing because nobody knows it exists.

Does your team actually know your company's AI stance? Or is it buried somewhere?

🎥🎧 Stream the full episode on YouTube, Spotify, and Apple Podcasts. Search "Product Leaders Lab."

Meet Ramli John, the host shaping Product Leaders Lab and bringing product leadership to life! 🚀 Watch, engage, and leave a comment with your questions!

#ProductLeadersLab #MeetTheHost #DelightPath #LeadershipStories #ProductInsights

SaaS Company? I’ll rewrite your vague landing page into a clear, conversion-focused page in 7 business days.

There’s only one reason your page is not converting as well as it should…

Visitors only get to the “aha moment” AFTER they sign up or book a demo

They DON’T understand how your product can make or save them $$$

They DON’T understand why is 10x better than what they are using right now

They DON’T understand it’s actually super easy to get started and set up

So if all of this is unclear, why would they convert?

They won’t.

All of this needs to be clearly explained on your landing pages.

----

👉 WHAT I DO:

We will rewrite your ENTIRE page from scratch into a clear, conversion-focused page.

We will do the research for you.

We will advise you on the positioning problems you’re having.

We will provide clear suggestions for the layout and images to ensure the best result.

All of this within 7 business days.

The best part? You pay per page (no-commitment).

------

👉 WHY ME?

✅ Worked with 140+ SaaS companies over the last 6-7 years

✅ Only work with B2B SaaS - never changed niche

✅ High capacity - I have a team to help me fulfill the work you need

✅ Pay per page - Unlike any other agency you can test things one page at a time.

-----

👉 NEXT STEPS:

DM me for examples, pricing, or any other detail you’d like to know.

Or email me: pedro@cortes.design

Pedro Cortés

If you used AI to “improve your hero”…

You probably lowered your conversion rate.

Smoother copy isn’t the same as stronger positioning.

Hot take:

AI copywriting is making SaaS landing pages convert worse.

Not because AI is “bad”.

Because everyone is using it the same way.

They ask it for:

“Rewrite my hero.”

“Improve my benefits.”

“Make it more persuasive.”

So AI does what it’s best at:

It makes the copy sound smoother.

Cleaner.

More confident.

And more generic.

Which is the fastest way to look like every other SaaS tool.

Here’s the part people twist:

I do use AI for copywriting.

All the time.

But only for things AI is actually good at:

- Editing messy drafts
- Shortening headlines
- Pulling industry terms from call transcripts
- Expanding details I already know are true
- Generating variations once the direction is clear

What I never use it for:

Deciding WHAT to write.

Because AI is great at how to write.

But it has no clue what to write…

Unless you feed it the raw ingredients:

✅ your real differentiators

✅ your buyers’ objections

✅ your proof (numbers, examples, screenshots)

If your inputs are vague…

Your output will be vague.

Just with better grammar.

—

Want to use AI the right way on your homepage?

Do this instead 👇

1⃣ Write a list of your top 10 objections

2⃣ Pick the 3 that stop people from signing up

3⃣ Put them in the hero + first 2 sections

4⃣ Add proof next to each one (not “trust me bro” copy)

5⃣ THEN use AI to generate variations

That’s how you get conversion lifts.

Not by “polishing” fluff.

—

If you want me to rewrite your landing page copy (and tell you exactly what to say)…

💬 DM me.

Your quickest win for ad landing pages?

Rewrite the hero so it confirms the ad promise.

Not “brand messaging.”

Not “all-in-one platform.”

Not “built for modern teams.”

The click creates a very specific expectation.

And your hero’s only job is to say:

“Yes. You’re in the right place.”

Here’s what that looks like.

---

Example 1 — Expense management SaaS

Ad headline: “Close your books 2 days faster. Without hiring.”

Normal hero:

“Modern expense management for growing teams.”

Good hero (tailored to the ad):

“Close your books 2 days faster without adding headcount”

Sub: “Automate receipts, coding, and approvals so month-end stops dragging.”

CTA: “See the month-end flow”

---

Example 2 — AI customer support/helpdesk

Ad headline: “Deflect 35% of tickets in 14 days.”

Normal hero:

“Delight customers with faster support.”

Good hero (tailored to the ad):

“Deflect 35% of tickets in 14 days”

Sub: “Instant answers from your docs + past tickets, with handoff to humans when needed.”

CTA: “Calculate your deflection”

---

Example 3 — Scheduling / reminders

Ad headline: “Cut no-shows by 28% with automated reminders.”

Normal hero:

“Scheduling software for modern teams.”

Good hero (tailored to the ad):

“Cut no-shows by 28% with automated reminders”

Sub: “SMS confirmations, reminders, and one-click rescheduling that customers actually use.”

CTA: “View the reminder sequence”

---

The rule

Ad = promise

Hero = same promise + how it happens

If the hero switches the angle…

You pay for the click.

Then lose them to confusion.

---

Want to rewrite your ad landing pages for max conversions?

DM me for more details

This Base44 ad is AI

And it embarrasses most SaaS explainer videos.

Not because AI is “creative”.

Because it does what most teams avoid:

It picks one clear story.

And commits to it.

Most explainer videos are “well produced”…

But they’re not well decided.

They try to:

- explain everything
- please everyone
- mention every feature
- avoid being too specific

So you get 90 seconds of:

“all-in-one platform”

“built for modern teams”

“streamline your workflow”

Nice words.

Zero conviction.

This AI ad works because it’s the opposite:

- One clear promise
- One clear angle
- Tight pacing
- No filler
- It *shows* the product instead of narrating buzzwords

That’s the uncomfortable part:

AI is already better than most teams at execution.

But it’s still not better at the hard stuff:

- choosing the angle
- deciding what to cut
- saying one thing clearly
- taking a position

So if your explainer video (or landing page) underperforms…

It’s rarely a tooling problem.

It’s a clarity problem.

And AI just makes that obvious.

If you want messaging/copywriting help so your homepage hits like this…

Send me a DM.

Most SaaS social proof is written like a compliment.

Here are 5 formulas for high converting social proof 👇

---

Most SaaS social proof is useless.

“Great product.”

“Awesome team.”

“Highly recommend.”

Cool.

What did it *do*?

Here are 5 formulas I use to turn “nice words” into conversion assets.

Steal them.

1️⃣ Outcome → Before vs After

“Cut onboarding time from 14 days to 2 days without adding headcount”

Why it works:

It shows transformation.

In plain English.

No math required.

2️⃣ Result → Scale → Timeframe

“Processed 1.2M invoices across 430 teams in 6 months”

Why it works:

Scale = credibility.

Timeframe = speed.

Feels hard to fake.

3️⃣ Cost saved → Replaced alternative

“Replaced 4 tools and saved $96,000 per year”

Why it works:

Anchors against existing spend.

Makes switching feel rational.

4️⃣ Growth result → Constraint removed

“Increased trial-to-paid conversions by 38% without changing pricing”

Why it works:

Signals leverage.

Not brute force.

5️⃣ Operational win → Human relief

“Automated 72% of manual workflows so the team could stop working weekends”

Why it works:

Numbers + emotion.

That’s what people remember.

—

The rule most teams miss

Don’t collect social proof after launch.

Design your product and reporting so these stats are inevitable.

If you can’t produce proof headlines like this, it’s usually not a copy problem.

It’s a:

- tracking problem
- positioning problem
- or a “we don’t know our real value yet” problem

If you want, DM me and I’ll tell you exactly what social proof your landing page should be collecting.

Social Proof Formulas

This landing page breaks all the rules.

And it works. But ONLY for them…

Today’s teardown: PostHog 👇

If you judge this page by “conversion best practices”…

You’d say it’s bad.

The copy isn’t amazing.

The layout is chaotic.

It looks like a literal computer window. 🖥️

But here’s why it works.

PostHog sells to developers.

And developers don’t discover tools through polished marketing funnels.

They discover them in forums.

On GitHub.

Through other developers.

Word of mouth does the heavy lifting. 🔁

So the homepage doesn’t need to aggressively convert cold traffic.

It just needs to:

- Show the features fast

• Confirm it’s legit

• Not feel salesy

And that last one is everything.

Developers HATE marketing. 🚫📣

So what did they do?

They made the entire homepage look like a computer UI.

You can resize it.

Minimize it.

Click around like it’s an app.

Is it harder to read? Yes.

Would this work for 90% of SaaS? Absolutely not. ❌

But for a dev-first product with community-driven growth?

It’s smart. 🎯

Lesson:

Stop copying landing page “best practices” blindly.

The best page isn’t the prettiest.

It’s the one that matches how your buyers think. 🧠

—-

Know any other SaaS doing something like this?

Drop them below. I’ll review them.

—-

And if you want help rewriting your SaaS landing page to actually convert

DM me. 💬

This landing page didn’t get Lovable to $100M ARR.

And it’s going to cost VERY SOON.

Lovable grew because of virality.

Videos. Demos. Things people built.

Not because of this website.

And that’s dangerous.

Here’s what’s missing 👇

—

1️⃣ The hero says “build with Lovable”.

But it doesn’t show what you can build.

Apps.

Backends.

Integrations.

Compliance.

All of that could be shown immediately.

Instead, it’s vague.

—

2️⃣ The page attracts churny users.

The positioning leans hard toward “new websites”.

That means:

Side projects.

Experiments.

Businesses that disappear.

I’d mix apps + websites + internal tools.

Higher intent. Lower churn.

—

3️⃣ Templates don’t sell the ceiling.

They’re not impressive.

They’re not aspirational.

They’re not easy to replicate.

Templates should answer one question:

“How far can I take this?”

Right now, they don’t.

—

4️⃣ There are zero concrete examples.

No users.

No numbers.

No outcomes.

Not:

“This app has 10k users.”

“This team saved $X.”

“This is used daily.”

So Lovable lets everyone else define the story.

That’s a mistake.

—-

5️⃣ Pricing looks clear — until you think.

Credits are listed.

Plans are compared.

But nothing explains:

What can I build with 100 credits?

Is 5 free credits enough to get anywhere?

Unclear pricing = comparison.

Comparison = lost conversions.

—

6️⃣ Solution pages are thin.

No real use cases.

No examples.

No “Figma → real product” stories.

For a $100M+ ARR company, this isn’t acceptable.

Why this matters:

The page didn’t slow early growth.

But it will increase churn.

And as more tools enter the market,

whoever explains capability better will win.

Even if the product is worse.

—-

Let me know what you think in the comments.

And if you want help rewriting or writing your SaaS landing page to convert better — DM me.

Most SaaS pages try to explain the product.

This page doesn’t. It sells results.

(and it does it well!)

It uses proof to compensate for everything else.

Here’s what Founderpath does insanely well 👇

1. They know their big promise.
   
  “Get capital without selling equity.”
   
  Non-dilutive capital.
   
  They say it immediately.
   
2. They put the proof in the hero.
   
  Not a fluffy quote.
   
  A founder. On camera.
   
  Saying what they raised.
   
  And you see the amount without even watching the video.
   

That’s real proof.

1. They lead with outcomes, then segment.
   
  They have 3 different products.
   
  So they segment people based on what they want.
   
  But the selling is already done by the numbers.
   

Now the only question is:

“Cool… how do I get this?”

1. They show the process (but it’s a little too clean).
   
  Application steps are good.
   
  But they oversimplify it.
   
  They should add: how long does each stage take?
   
2. They drown the page in scale.
   
  Tons and tons and tons of results.
   
  Events. Users. Activity. Momentum.
   

Because again…

They’re not selling features.

They’re selling trust.

And that’s more powerful than any “copywriting trick” you can do.

Let me know what you think about this page in the comments.

If your homepage is “taking a long time.”

You should watch out for this 👇

(Shouldn’t take more than a week!)

If it takes 3 months to redo your homepage, you lack the clarity and decisions are too slow.

Because when your positioning is clear…

A homepage should not take more than 1 week.

(Not because you rush it.

Because the decisions are already made.)

Teams treat the homepage like a blank canvas.

Infinite options.

Infinite directions.

Infinite revisions.

High-converting pages don’t come from creativity.

They come from constraints.

Here are the only 5 decisions you need to ship a strong homepage fast:

1. Who is this for? (one ICP)
2. What do they want right now? (one job)
3. Why you? (one differentiator)
4. What’s the biggest objection? (one fear)
5. What proof removes that fear? (one proof type)

If you can’t answer those…

The page will take forever.

And even worse…

You’ll finally launch it…

And it still won’t convert.

Because the problem wasn’t writing.

It was missing clarity.

DM me if your homepage has been “almost done” for weeks but still doesn’t communicate well.

I’ll help you find the one decision that unlocks the rest.

It’s 2026 and the biggest competitor for a SaaS…

It’s a spreadsheet (or manual work)

Not another SaaS.

Not “enterprise legacy tools.”

It’s crazy to think that in a world full of AI this is still the case…

A messy Google Sheet that someone is terrified to touch.

And it changes how your landing page should be written.

Because you’re not convincing buyers to “switch platforms.”

You’re convincing them to stop tolerating:

- copy/paste workflows
- human reminders
- “did you update the sheet?”
- broken handoffs
- tribal knowledge

So stop positioning like you’re fighting other companies.

Position like you’re replacing the current behavior.

Here are 5 lines that usually convert better than “all-in-one platform” fluff:

- “Stop tracking this in a spreadsheet.”
- “Replace copy/paste with one workflow.”
- “No more chasing updates.”
- “Get the report without building the sheet.”
- “One source of truth your team actually uses.”

And here’s the real unlock:

If you can’t beat spreadsheets…

Your product isn’t losing on features.

It’s losing on friction.

Onboarding takes too long.

Setup feels risky.

The “first win” takes weeks.

Spreadsheets win because they’re instant.

Your job is to make your product feel just as immediate.

If you want messaging/copywriting help that positions you against manual work (the real competitor)…

Send me a DM.

“Save time” is too vague to convert.

Steal these 7 formulas to make it tangible 👇

---

Nobody buys “time savings.”

They buy a specific task getting faster.

On a specific day.

For a specific person.

If you want to sell time savings on your landing page, you need to make time visible.

Here are the formulas I use (with examples you can copy).

---

1) Time saved → Specific task → Frequency

Formula: “Save [X time] on [task] every [frequency]”

Examples:

- “Save 3 hours every Monday on weekly reporting.”
- “Save 45 minutes per deal on proposal creation.”
- “Save 10 minutes per ticket on triage, every day.”

---

2) Before → After (time) → Without [pain]

Formula: “Go from [before] to [after] without [pain]”

Examples:

- “Go from 2-hour month-end reconciliation to 15 minutes without spreadsheets.”
- “Go from 6-step onboarding to 2 steps without engineering help.”
- “Go from ‘follow up twice’ to ‘paid on time’ without chasing.”

---

3) Time to first win → Outcome

Formula: “Get [first outcome] in [time]”

Examples:

- “Get a client-ready report in 10 minutes.”
- “Get your first automated invoice run in 30 minutes.”
- “Get an AI answer live in 1 hour.”

---

4) Time reclaimed → Who gets it back

Formula: “Give [role] back [time] each [period]”

Examples:

- “Give finance back 6 hours every month-end.”
- “Give support leads back 2 hours per day on triage.”
- “Give founders back their Fridays.”

---

5) Work eliminated → Not time saved

Formula: “Stop doing [work]”

Examples:

- “Stop chasing updates for weekly reporting.”
- “Stop copy/pasting data between tools.”
- “Stop rebuilding the same spreadsheet every month.”

---

6) Cycle time reduced → Business result

Formula: “Shorten [cycle] from [before] to [after]”

Examples:

- “Shorten onboarding from 14 days to 2.”
- “Shorten approvals from 3 days to same-day.”
- “Shorten review cycles from 12 comments to 2.”

---

7) Throughput gained → Same team size

Formula: “Do [more output] with the same team”

Examples:

- “Ship 2x more client reports with the same headcount.”
- “Handle 30% more tickets without hiring.”
- “Process 3x more invoices with the same ops team.”

---

The rule

If your time-saving claim can’t answer:

Saved doing what, how often, for who, and what replaces it?

It’ll read like generic SaaS soup.

If you want messaging/copywriting help making your “save time” promise specific…

Send me a DM.

How to sell time savings

I use AI for copywriting all the time.

But NEVER to write copy for me?

AI is great at execution.

And terrible at judgment.

It can help you say it cleaner.

But it can’t decide what matters.

Here’s exactly how I use ChatGPT on SaaS landing pages:

- Double check industry terms (so I don’t sound like an outsider)
- Tighten sentences
- Shorten headlines without losing meaning
- Pull onboarding language from transcripts (the words buyers actually use)
- Expand details I already know are true
- Generate variations once the message is locked

Here’s what I *don’t* use it for:

- Choosing the angle
- Deciding the promise
- Picking the objection to lead with
- Inventing proof
- Writing “positioning”

That part is still human.

Because the highest-converting copy isn’t “well written”.

It’s super well edited.

If you want, DM me.

I’ll show you how to use AI to move faster…

without turning your homepage into generic SaaS soup.

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The Battle

Ramli "RJ" John

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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);}Ramli "RJ" John's LinkedIn Performance

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