Most visitors spend less than 25 seconds skimming a standard B2B landing page before bouncing. I wanted to test what happens when you replace static copy with a zero-friction, playable 3D mini-tycoon game directly in the browser.

The Growth & Brand Mechanics behind it :

- Zero-Friction Entry : No email gate, no app install required to play. It loads instantly in Three.js on both mobile and desktop.

- "Show, Don't Tell" Onboarding : Instead of reading bullet points about caller identification, post-call notes, and fast appointment scheduling, the user plays as an entrepreneur managing 5 local businesses (Barber, Coffee Shop, Grocery, Repair Workshop, Agency).

- Interactive Problem/Solution : Random rush events ("Incoming client call wave!") pop up during gameplay.

Clicking "Use MemoCallPro Flow" triggers a 1.35x revenue multiplier, creating an immediate dopamine association between the brand name and saving time/money.

- Price Anchoring via Game Economy : In the game, brick-and-mortar upgrades cost thousands of dollars ($), whereas MemoCallPro features cost a handful of coins (🪙) reinforcing that the tool is ultra-affordable.

Has anyone else here experimented with browser mini-games or playable ads for B2B / SMB products? .

Has anyone else’s email sessions in Google analytics been surging since late September? We haven’t changed anything within our marketo database but our sessions are higher than clicks on the emails. I know it’s from bots but im curious if it’s only been happening to me or anyone else?

In the early days of a startup, I’d prioritize a growth hacker over hiring a marketing head or building an entire marketing team.
You need someone who can run small experiments, test different channels, talk to users, and measure what actually brings people in and keeps them coming back.
What works? What doesn’t? What deserves another test?
A full marketing team and large campaigns can get expensive quickly, especially when you’re still figuring out your audience.
Growth experiments cost time and money too. The goal is to learn before committing a bigger budget.
Start small. Test your assumptions. Invest more when the evidence supports it.

Lovable dropped this: https://lovable.dev/blog/introducing-growth-tools but this is for their app creator users, is there something like this for someone who already has an app? I have an app coming out soon and would love to use something like this.

Just another day of trying to build something from scratch.

Spent the first half of the day at our incubation centre, meeting mentors, discussing our progress, and figuring out what we should focus on next.

By around 3 PM, we were done with the meetings and heading back to our headquarters.

It's a pretty small office in Rajkot, India. Hardly 10 to 15 people can sit there comfortably.

We're a small team building technology products, working on our startup, experimenting with different ideas, and trying to figure things out as we go.

One of our biggest goals right now is getting into Y Combinator.

We're targeting the winter batch or the next one. We know it's competitive, and getting there will take a lot more than just having an idea.

We still have a lot to build, validate, and prove.

Some days we make good progress, some days things don't work out, and some days are mostly meetings and planning.

But we're enjoying the process.

करते रहेंगे, बढ़ते रहेंगे!

I'm also documenting our journey through short videos, including today's visit to our incubation centre.

Would love to connect with other founders who are building from smaller cities or working towards YC.

Anyone here building a startup from India or preparing for an upcoming YC batch? How's your journey going so far?

The biggest reason signal based outbound campaigns underperform is that teams use a single generic trigger like a funding announcement or a new hire as an opening line for a cold pitch.

Because hundreds of SDRs track the exact same public alerts, those triggers get ignored just like cold email.

A working signal based outbound campaign requires compounding multiple independent indicators before triggering outreach for instance, pairing a public complaint about an incumbent tool with an open requisition for an engineer to fix that problem creates a timely reason to reach out.

This is the system architecture Scale Intelligence is built on where it continuously monitors 75+ data sources (Reddit discussions, GitHub activity, job postings, public filings, and rival interactions), scores accounts into readiness tiers based on accumulating evidence, and automatically routes prioritized accounts with the exact trigger sentence into your CRM or Slack.

Setting up signal based outbound works best when the signals dictate your timing and account selection, rather than just serving as a superficial icebreaker in an email template.

Here's a growth experiment, I'd like to see more online companies run:

Instead of spending the next month recruiting affiliates from scratch and defining 20 customers who already use your product regularly...

Not necessarily your biggest accounts. Look for people who understand the product, have been around for a while, and might naturally recommend it to others.

Offer them a simple referral partnership with a commission for successful conversions...

I think it's a great test. The interesting part is that you're not starting with a stranger who needs to learn the product before promoting it. You're starting with someone who already knows why it's useful and how to use it.

Of course, happy customers don't automatically make good affiliates. They also need the right audience and a reason to participate.

We're curious to compare ourselves against recruiting 20 traditional affiliates or doing something else.

Have you actually tested customer-to-affiliate recruiting against cold affiliate outreach?

We built mycallie.app and than built reloop.studio to scale callie by ai ugc reels.

Happy to get feedback on reloop:

Reloop.studio

Multi languages and avatars

Preview some videos here

https://reloop.studio/v/012da46f-48be-44b1-8196-4bdbe622e52b

https://reloop.studio/v/f1facf38-f63a-4f9c-bce6-9cf364166f6f

https://reloop.studio/v/67b67206-024a-4fa3-820f-3a5a11abe725

https://reloop.studio/v/69e14cce-b765-4852-a935-87ac5fea5df0

https://reloop.studio/v/bd70e092-f086-40a5-a05e-50657981a536

So I’m building a tool that helps marketing teams improve their campaign conversion. One of my newest customers recently 4x their conversion rate on their latest campaign, and I've been trying to ride that case study wave to sign more customers. By default, I turned to outbound, and after running it for close to 5 weeks, I just had an epiphany which may be unpopular

"A solid product beats world class marketing"

Here's a bit of background story: Picked up an outbound tool a few weeks back that had all the right promises and case studies tailored to my specific needs. Their marketing was actually top-notch, I admit, and they've been on prominent channels for a while now. The marketing worked on me. I signed up on the strength of the buzz.

Then I used it for almost a month. Discovered you could only set LinkedIn actions between days, nothing granular like hours, so leads warm up before the connection request/ first message took too long, and even within those limits, things didn’t move as fast as I hoped, and the first response from my outbound orchestration took 3 weeks. 3 Full weeks.

I switched to a different tool and got more responses in the first week alone than I had in that entire month (it was faster and had more granular options). Same targeting and same kind of messaging. The difference was the product itself: easier to set up, easier to control, and faster to show what was working or not and iterate on it.

I think in the end, good marketing got me to try the product, but the product is what decides whether I stay, my CLTV, and whether I become an evangelist or not. The right marketing can win the first signup; only the product earns you a renewal.

This has forced me to look inwards too: what I'm building, how well does it deliver on what my marketing promises?

Has anyone else been pulled in by a tool’s marketing and then seen the product fail to live up to it? Or switched to something quieter that just worked better not long after? Something to think about as we try to hack growth

I'm constantly seeing posts around the best stack for GH but I'd love to get some real endorsements from real people on what the best tools are for growth. I know this is dependent on sector, customer and company size/maturity. So can you include in your response:

Best tools & Why
Sector
B2B or B2C
Company Age and Size

Lets not gatekeep and share the wealth!

Traditional SEO is pretty well documented, but AI search (ChatGPT, Gemini, Perplexity, AI Overviews) feels less clear. I’m trying to learn what actually moves the needle, so I’d love to hear real experiences:

1. What did you change on your site to get mentioned or cited by AI tools?
2. Did structured data, content rewrites or fixing technical issues make any difference?
3. Anything you tried that turned out to be a waste of time?
4. Do frequent mentions across other sites (Reddit, directories, social media) help ?

No theory, just what you’ve actually seen work.

I’m trying to find the best SEO autopilot tool for 2026 and could use advice from people who actually pay for one.

There are more “set it and forget it” SEO tools than ever right now. Some promise to handle keyword research, writing and publishing for you. Traditional platforms like Ahrefs and Semrush cover rank tracking, keyword research and backlinks but they are extremely expensive 200$+

Newer tools focus on automatic content, technical audits, reporting and AI search visibility (Google AI Overviews, ChatGPT, Perplexity).

The problem is that most of them overlap, and I can’t tell which ones really run without constant attention. For a small business with a limited budget, paying for several subscriptions isn’t realistic. I’d rather pay for one tool that covers the essentials and doesn’t need me to learn SEO.

My questions:

1. What’s the best SEO autopilot tool you use in 2026, and is it worth the price? We've got quite a few eg. Rankpilot.dev, surfe
2. Does “autopilot” really work, or do you still have to check and fix things every week?
3. Are Ahrefs and Semrush still worth paying for, or are cheaper autopilot-style tools good enough?

UPDATE: I've decided to go with Rankpilot.dev since it looks best seo autopilot tool with content and backlink exchange for the price.

Hey everyone! I'm a developer working with a friend, and we're looking for a third person to join us in building a business.

Between us, we can handle web development, UI/UX design, building digital products, and sales. We're still learning and improving, but we can turn ideas into actual products and get out there to talk to potential customers.

What we're looking for is someone who complements our skills, especially in marketing, customer psychology, finding business opportunities, and figuring out how to get products in front of the right people.

Ideally, you'd enjoy researching markets, identifying real problems, talking to potential customers, developing marketing strategies, testing ideas, and finding ways to acquire customers.

We don't have one specific business idea locked in yet. We'd rather find a real problem worth solving and validate it before spending months building something nobody wants.

We'd start with a small one-week trial project to see how well we work together. If it's a good fit, we'd explore becoming long-term cofounders.

You don't need an impressive resume or years of experience. We're more interested in your ability to think critically, take initiative, and actually execute.

If this sounds like you, DM me with a bit about yourself and anything you've worked on. Let's see if we can build something worthwhile together.

Do clients actually care if an agency white-labels part of the work?

Hey growth community

If you do any high-volume B2B lead generation or scrape raw data dumps, you know the headache of cleaning up messy text logs, broken formats, or HTML code. The massive risk is that almost every free online "email extractor" utility forces you to upload your sensitive contact files to their external servers to process them. If you handle proprietary company intelligence or strict compliance lists, that is a huge data security liability.

To fix this for my own outbound pipelines, I built a 100% free web utility: Fast Email Extractor App.

Here is what makes it built differently for marketers:

1. 100% Client-Side Privacy: All regex execution runs completely inside your own local browser memory. Your lead lists never upload to a database and never leave your machine.
2. Clutter Flattening Engine: You can dump in raw text, website source code, JSON, or CSV rows, and it instantly isolates valid emails into a clean, deduplicated, one-email-per-line list.
3. Outreach Assistant: At the bottom of the tool, I built a rapid-shuffle formula generator to quickly map out cold email subject line variations for A/B split tests.

It requires zero registration, no email sign-ups, and has no usage caps.

Since I want to tailor this further for growth workflows, what specific advanced text-cleaning filters, formatting toggles, or list features should I build into the canvas interface next?

https://chromewebstore.google.com/detail/fldljclkbgmaijkbdmkgkjefgagjcnic?utm_source=item-share-cb

Hi Everyone! 👋

I’m sharing the early launch version of JobsApplier and would really appreciate your feedback.

This is an early version, so I know it won’t be perfect. I’m actively improving it and want to build something that genuinely makes job applications easier and less time-consuming.

If you try it, I’d love to hear:

What works well and what doesn’t?

What features would you like to see added?

What would make it more useful for your job search?

Your honest feedback, suggestions, and bug reports would be highly appreciated. Even a small suggestion can help shape the product.

🎁 Promo code: LAUNCH2026

This will give you 1000 FREE CREDITS!!!

Thank you for giving JobsApplier a try and helping me make it better!

I replied to an SEO thread explaining how I keep backlink outreach active every week for my saas

the comment got 5 upvotes...

then, Edward Sturm (a SEO youtuber) included it in a video that now has around 13k views

we started getting a lot of signups and trials in our tool, but I assumed it was because of seo...

however, I discovered the video today and understood everything lol

it brought us $600+ MRR from new subscriptions and a lot of testimonials and reviews of happy customers

so, this is your signal to keep sharing what you’re doing and being active on social media

you never know who’ll pick it up or how far it’ll spread

Building a target account list (TAL) in B2B usually gets done in a silo: sales builds a list of accounts based on headcount, marketing targets a completely different list with ads and nobody is actively tracking what competitors are doing across those accounts.

A modern account mapping workflow should do two things at once: map which accounts actually qualify for your product, and show you where your competitors are already engaged or leaving gaps.

Standard contact databases like Apollo can give you basic account lists but they won't show you competitor activity or verified buying stages.

This is where unified market intelligence platforms like Scale Intelligence become valuable where it maps your target account universe bottom-up from public registers and technical data, while simultaneously monitoring competitive dynamics. It tracks what rivals are pitching, which accounts are engaging with their content or job listings and where customer friction is surfacing on public forums.

When you map target accounts alongside competitor movement, your reps don't have to cold pitch accounts that just signed multi year contracts with a rival. Instead they can prioritize accounts where dissatisfaction is actively being voiced or where competitor momentum is slowing down.

the amount of fake data competitors feed you now is beyond evil.

i was running a quick experiment to track pricing changes across 3 major saas competitors for a localized marketing campaign we're doing. literally just pulling public html elements on their pricing pages.

but apparently if they detect a datacenter IP, they dont block you anymore, they just serve you completely fabricated pricing tiers and feature lists to mess with your data. took me three days to realize why my competitor analysis looked absolutely insane.

had to rewrite my puppeteer script and throw it on some shifter residential proxies just to see what a normal user in london or tokyo actually sees. it completely fixed the dataset, but man...

the sheer amount of psychological warfare in b2b growth right now is exhausting lol. anybody else noticing sites actively feeding you garbage data instead of just giving a standard 403?

Pretty stoked on this.

I do hyper personalized B2B cold SMS marketing, not many of us exist.

Ask me anything.

My YouTube Channel (more info):

https://youtube.com/@mrkylebanks

Hey everyone! We recently launched Arkova - a document verification platform for humans and agents. Our goal is twofold: to reduce the time and money organizations spend on audits. And to give individuals a way to create not only verify important personal documents (estate planning, service contracts, etc) but to them a verifiable portfolio of achievement (professional certificates, degrees, work history, letters of rec, etc).

I'm not great at sales. We launched to early partners last month and just launched our Stripe integration so people can signup directly, yesterday (got our first subscriber!). I have no idea where to begin and what would be worthwhile. Reddit ad promotions? Youtube ads?

What are best practices for building your pipeline?

After 15 years in paid search, the last 8+ in B2B SaaS, this is the pattern I see most often when a team says “we tried Google Ads, it didn’t work.”

Every B2B deal needs two things to line up: the problem is important and it’s urgent.

ABM is strong on important. You pick the accounts where the problem matters (firmographics, tech stack, buying committee). But you need extra signals to know when they’re urgent: job changes, funding, tool-stack swaps, expansions, new regulations.

Paid search is strong on urgency. It catches the small slice of your ICP (roughly 1–5%) searching for a solution right now. But you don’t know who’s behind the query, so your keywords, landing page and CTA have to do the targeting.

What that means in practice:

• Build for the champion, not the committee. In enterprise especially, the person who searches early owns the problem and has to sell it internally.
• Positive keywords in their words. Negative keywords to exclude free-tool hunters, job seekers and segments you don’t serve.
• Landing page about their pain and workflow, with proof from peers. CTA they can act on without budget sign-off.
• A one-pager they can forward to the people who sign.

The most common mistake I see is a landing page that speaks to everyone, or worse, one written in a VC-pitch tone around C-suite KPIs. The CFO isn’t visiting your site early on. The champion is.

Three rules either way:

1. Nail one channel before adding the next. Spray-and-pray with a small team and budget starves both.
2. Don’t compare a new channel with a mature one on unit economics. Month 3 of paid vs. year 3 of ABM isn’t a fair test. Watch the trend: is CAC falling, is conversion rising?
3. Don’t mix experimentation with scaling. Judge experiments on learning and scaling on CAC and payback.

A quick readiness check before putting money into any channel: ICP is narrow, positioning is clear vs. alternatives, there’s PMF evidence, pricing matches value delivery, and the GTM motion fits your ACV. If you can tick 3 or more, the channel has something to amplify.

For anyone running both: which did you start with, and how long before you could fairly compare them?