r/GrowthHacking

Tested that new method from yesterday's post and it honestly exceeded my expectations. Very practical and easy to use. All the details are available in u/lardladd s profile.

seeing more teams mix cold email with linkedin touches instead of only sending email sequences.

connection request, profile view, email, follow up, linkedin message, etc.

does this actually improve replies or just create more work?

curious what people are seeing in b2b right now.

Most developers I know have the same gap. They can build anything. They can't market.

Personally, I am building but feeling too exhausted to talk about the progress, to start with.

git-to-x is my bet on fixing the smallest version of that.

It takes what you already do, pushing code, and turns it into a presence on X automatically. No writing. No remembering. Your GitHub activity becomes your marketing.

- 10 free posts every month (x api costs on me)

- 8 beautiful cards so developers X timeline looks great (plus one founding member card)

- Open-sourced it (someone said most people say they will open source things but won't)

Is this something you would love to have?

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Card designs from reference (so you know it's not low-effort work)

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No looking for signups as of now(will be nice but). I am looking for feedback.

https://preview.redd.it/y1t3wbjcdlbh1.png?width=1464&format=png&auto=webp&s=b15566e8f28a2fbd7e15a6a068d8667c21362157

https://preview.redd.it/tp91hoy77mbh1.png?width=1753&format=png&auto=webp&s=ba6ecaf162a28e73cd5a51f13c6ab64c9fcf32cc

I ran the same 50 best-tool prompts through all three and pulled out every brand they named. 150 answers later, they basically have different taste.

• ChatGPT is the over-sharer. Widest list every time, and it name-drops 59 obscure tools the other two never mention. It also recommended "ChatGPT" 16 times, very humble.
• Perplexity is the safe friend. Same well known names over and over, rarely takes a risk.
• Gemini is very on brand for Google. It pushed Canva more than twice as often as ChatGPT, leaned hard into the Google ecosystem, and quietly recommended Claude 13 times. Recommending a competitor more than itself is a choice.

The kicker: across everything, all three agreed on the same brand only 21% of the time. Same question, three different realities.

So "what does AI recommend" has no single answer. It depends entirely on which model you ask, and each one has a clear bias.

Which engine's taste do you trust most? And has anyone else caught Gemini recommending Claude in the wild?

Repost to more communities

Here's something that doesn't get talked about enough: Reddit threads often land on the first page of Google for product-category searches. "Best tool for X," "alternative to Y," "how do I do Z", a lot of those results are Reddit threads, not blogs.

This matters for a few reasons:

1. It's where your potential customers are already reading

If someone Googles "best social listening tool for startups" and lands on a Reddit thread, they're reading what other people recommend in the comments, not your homepage. Being present and genuinely helpful in those threads has real distribution value, separate from any direct traffic.

2. Upvoted comments in high-ranking threads become trust signals

This is the part that's easy to miss. AI-powered search tools (like the AI overviews in Google, or standalone AI assistants) pull from trusted, upvoted sources when generating answers. A well-placed, honest, helpful comment in a thread that ranks well isn't just good for direct visibility, it potentially ends up cited or referenced in AI-generated answers too.

3. The opportunity window is often short

A thread asking for tool recommendations gets most of its engagement in the first 24–48 hours. After that, new comments get buried. Finding those threads while they're active is the difference between being part of the conversation and showing up too late.

Practical takeaway:

If you're doing any kind of content or SEO work, it's worth building a habit of monitoring the communities where your customers hang out, not just to post, but to understand which threads are getting traction and why. That context will make your other content sharper too.

It's a bit of a slow burn, but the compounding effect is real. A comment that sits in a well-ranked thread can drive awareness for years.

People compare tools based on subscription price.

They rarely compare total stack cost.

Example:

LinkedIn tool → Email platform → Clay → CRM → Residential proxies → Zapier → Enrichment

Suddenly your "$79/month" outreach tool is costing a lot more once you factor in the rest of the stack.

That's why I've become a fan of platforms that include more functionality natively.

Less time managing integrations.

Less money spent on infrastructure.

More time actually talking to prospects.

Sometimes reducing your stack creates a bigger ROI than adding another tool.

I find the most frustrating form to be where GTM intelligence is created completely in the sales ops layer and marketing gets passed a list.

Marketing did not create the model, does not understand the logic behind the model, and can't trace back it's decision regarding campaign to the single data. The alignment is only theoretical and falls apart at first question regarding the priorities of the accounts.

For marketing, GTM means visibility for marketing regarding signaling accounts and their logic so that campaigns are made with the same information as the sales team uses, not two different layers with monthly meetings for synchronisation. Is there any company out there where GTM includes running one signal model for both teams?

been running my shopify store in the gifting niche for yrs and it’s been going really well, well I thought so since covid. I thought advertising would be the easiest part so i hired a growth agency who could do everything, one contact more simple.

Bbut then growth flatlined and I switched my paid social agency and things took off now Im thinking should I do the same for all my channels, email, paid search, etc?

when should you choose a general marketing agency over a channel specific agency and vice versa??

Tested that new method from yesterday's post and it honestly exceeded my expectations. Very practical and easy to use. All the details are available in u/lardladd s profile.

we run outbound for a B2B services product, mid-market targets. for months our pitch deck did the obvious thing: slide 1 was who we are, slide 2 was what we do, slide 3 onward was features. demo-booked rate off the deck sat around 9%.

i'll share the test because this community runs on numbers, not theory.

the change: i killed the "who we are" opener entirely and made slide 1 the prospect's specific problem in their own words. we pulled the exact language from discovery calls. not "companies struggle with X." the literal sentence a prospect had said to us two weeks earlier.

then slide 2 became the cost of that problem in their terms. slide 3 was the outcome. our product didn't show up until slide 4, and even then as the mechanism, not the hero.

same length deck. same offer. same outbound list quality.

results over 6 weeks, roughly matched volume to the prior 6:
- decks sent: 140 vs 132 in the control period
- demo-booked rate: 16% vs 9%
- one thing i didn't expect: reply-with-questions rate also went up, people engaged with the problem framing before booking

what didn't move: close rate after the demo was flat. the deck got more people in the room, it didn't make them buy. so this is a top-of-funnel lever, not a closing one. be honest about that if you test it.

the cheap takeaway is "lead with the problem," which everyone says. the thing that actually made it work was using the prospect's exact words instead of our paraphrase. that's the part i'd test first.

anyone else run a structured test on deck order? curious if leading with the problem held up in a longer sales cycle than ours

I want to grow my personal brand because I think it is important for my products. So I think to focus on X for 3-6 months and see how it goes. Before I tried posting a few posts per day and commenting.

I want to ask what worked for you (or what completely failed)? Would really appreciate real experiences

Note: I want to hear from people who has real experience so that is why I am posting here

i'm a deep tech engineer by background, spent years working on digital pathology scanners and cryptography, the kind of work that never leaves the lab. distribution was never something i understood and if i'm honest, i was always a little intimidated by it.

i built two startups before this and the one thing i kept running into across both of them - distribution.

after my second startup i decided to actually understand it. then i started spending a lot of time with teams generating 100M+ views a month on tiktok and what i kept seeing was the same thing, these teams were always late. a format would start picking up, a few brands would find it, then 20 would copy it, and by the time most teams had spotted it and briefed a creator and waited on revisions and finally posted, the window was already gone and they had no idea.

so i spent the next several months building reelpanada.ai - a database of 1M+ tiktok and insta videos that refreshes every 2 hours. you paste your app link and it shows you what's trending in your niche right now, what your competitors are doing, where the gaps are, everything abt distribution.

before today it was invite only. the teams on it are generating 500M+ views a month.

it's a platform build for the distribution by someone who struggled with distribution.

today anyone can try it, would genuinely love to hear what you think.

since alott of people here are into growth, i would be needing a lil feedback abt the product.

I am just curious what growth hacks do you guys use on mobile apps. ASO? Socials?

I tried tt slideshows and it went okay. I think I can make better videos to get more views. In this account I got around 200-800 views per video and a few sales.

I just want to see what you guys doing for mobile apps. Maybe we can help each other

Hi, so I am searching for any freely available dataset that would have information on websites which are using email services from third-parties.
BuiltWith provides that, like which websites are actively using Brevo, Klaviyo or MailChimp etc, but it is too expensive.
Thanks.