r/GrowthHacking

I have seen hundreds of posts about how to personalize LinkedIn outreach. Reference their posts. Mention their company news. Use their name correctly.

But I have not seen anyone talk about when to send.

We tested the same message at different moments. Same prospect type. Same copy. Completely different results depending on whether the person had just changed jobs, just posted something relevant, or was simply next in a sequence.

The personalization was identical. The timing was the only variable.

Timing might matter more than copy and nobody seems to be talking about it.

What signals do you actually use to decide when to reach out to someone?

three hours every week. competitor ads in one place, community conversations in another, SEO signals somewhere else, AI visibility tracking in a fourth tool if i had one at all.

every source gave me a piece. none of them gave me the picture.

the frustrating part was that i knew what i needed to understand. i just could not get there without doing the synthesis myself every time. and that synthesis lived in my head, not anywhere i could act on.

the hardest part of building revamio was not the data. it was figuring out what synthesis actually means when you have six different signal types measuring completely different things. that took most of the first six months.what we landed on: surface each signal against the questions a growth operator would actually ask. not a combined score. a combined view.

what is the market intelligence task that costs you the most time right now without giving you a clear answer at the end?

Something I've noticed in teams using Claude or ChatGPT to generate client-facing content: the generation is fast and the output is impressive. The distribution workflow hasn't caught up.

A teammate builds an interactive dashboard or visual report in 10 minutes. Then it gets exported as PDF, sent via Slack, and the client receives a flat screenshot of something that was supposed to be clickable.

The irony is that the AI part works. The sharing infrastructure around it is still 2015.

Curious if anyone has run into this and what the fix looked like from a growth/ops perspective.

These days, I feel like I'm going crazy when I see tech advertisements and landing pages.

The exact identical style is used by every single manufacturer. It always has that neon, hyper-polished, sci-fi vibe. Or worse, a photo of someone staring at a phoney glowing dashboard with that strangely flawless, glassy skin.

At first, it was cool. These days, everything just appears incredibly cheap and lazy.

For me, it's having the opposite impact. My brain instantly flags such obvious unrealistic, futuristic artwork as generic spam, so I quickly scroll over it. Simply keeping it tidy, lifelike, and centred on typical human situations looks a million times better for real software or professional branding.

Is this style finally reaching its limit? Do tech companies' attempts to appear "futuristic" damage their own credibility?

Are clients genuinely requesting this style, or are we all just sick of it, if any designers or marketers are present?

Feels like “just build a good product” stopped being enough for SaaS 😅

Now it’s:

• build product
• make content
• post daily
• reply everywhere
• build audience
• become a mini creator

Meanwhile some founders spend more time editing clips than coding 😭

I’m curious though…

Do you think content creation is basically mandatory for SaaS now?

Or can a small product still grow quietly without becoming a personal brand/build in public account?

Generating leads honestly isn't even the hardest part for us anymore.

the real problem is staying consistent with follow ups once workloads spike and everyone gets busym

we've had multiple warm prospects disappear simply because someone forgot to circle back fast enough.

ok so 996 is back in Silicon Valley, apparently (google news about it)

9 to 9, six days a week, hustle is life, sacrifice now live later ...

honestly it's the wrong fight, like WTF.

been thinking about the opposite for a while, calling it 9/9/9:

9 people max

9M ARR life objective

9 hours a day max

👉 build a company that fits inside a life. not a life that fits inside a company

why 9 people → past that you stop building and start managing. and a tiny team can now do what used to take 100. AI flipped the equation

why 9M ARR → infinite scale was never the point. 9M + good margins + small team = freedom, calm, time. enough to live well, small enough to stay human

why 9h/day → time is the only thing that doesn't compound. money does, reputation does, audiences do. time doesn't. one summer, one year with your kid, one Friday in May

not about working less, it's about leverage. software > services, systems > headcount, revenue per employee >>> headcount

Today, we're a team of 4, ~600K€/year, 35% EBITDA

& writing this from an old farm in Provence 🇫🇷 (@unefermeenprovence). I'm renovating with my wife, god, and cat.

@unefermeenprovence

not trying to be a unicorn. just trying to build good stuff and live well

996 or 9/9/9, where are you at, be honest, guys!

Quick context: spent the last few months building Molverine — a web-based detective game where you solve crimes by examining evidence and interrogating AI-driven suspects (GPT under the hood). Launched 14 days ago.

Numbers so far:

\- 0 paying users

\- YouTube Shorts: 1 video hit 1.5k views with 21.5% retention. 4 others stuck under 150.

\- Instagram Reels: <200 views per post, 0 followers

\- Direct traffic to the site: basically nothing

What I've tried:

\- Short-form video (true-crime-style hooks, mystery teasers)

\- Landing page with a playable free case

\- A couple of organic posts in adjacent communities — flat

Where I'm stuck:

\- The one Shorts hit suggests the top-of-funnel formula works, but it didn't convert. Don't know if it's the landing page, the offer, the audience mismatch, or all three.

\- Can't decide whether to (a) double down on content/audience building, (b) do a Product Hunt-style launch, or (c) go niche — true crime subreddits, mystery Discord servers, AI hobbyist communities.

\- It's B2C and impulse-buy-friendly, so I'm not sure the "10 cold DMs a day" SaaS playbook even applies.

The ask: what's the ONE thing you'd do right now to get the first 5 paying users? Not a checklist — the single move that worked for you when you were stuck at zero.

Happy to share the link in comments if anyone wants to look at the landing/product.

Been hearing a lot about help desks improving retention and repeat purchase rates, not just reducing ticket volume.

Running a small Shopify store and starting to think seriously about getting one. Partly to reduce the manual workload but also curious if it actually moves the needle on revenue.

Anyone have real numbers or experiences on how a help desk affected their repeat purchase rate or customer lifetime value?

Also open to recommendations for something that doesn't cost a fortune for a smaller store.

Building a restaurant SaaS — looking for a sales/marketing co-founder who actually gets the F&B world

Been heads-down building for a while. The product is a software platform for restaurants — not another POS wrapper, not a delivery aggregator. Something different.

The problem is pretty universal: restaurant owners are stuck juggling multiple disconnected tools. One for orders, one for tables, one vaguely for "customer data" they never look at. None of it talks to each other, so the owner ends up making decisions on gut feel and hoping for the best.

We're building one focused platform that closes that loop — menu, tables, customer intelligence, and marketing automation all connected. So instead of exporting CSVs and guessing, the system already knows which customers are slipping away and does something about it. That kind of thing.

Deliberately staying narrow. No integrations with every POS on the planet, no enterprise complexity. One vertical, done really well.

What I need:

A sales or marketing co-founder. Someone who's sold to or worked closely with restaurant operators and genuinely understands how they think, what they care about, and why most restaurant software fails to stick.

If you've got a track record closing SMB deals in hospitality or F&B — or you've been on the operator side and know the pain firsthand — I'd love to talk.

Equity-based. Not looking for a freelancer or an advisor. Looking for someone who wants to build something real.

Drop a comment or DM if this resonates. Happy to share more details once we've had a proper conversation.

I want to share a playbook I've been running for the past two weeks that's working better than anything else I've tried for to grow my SaaS.

The idea is simple. Product Hunt founders are some of the most reachable, highest-intent B2B targets on the internet. They just launched something. They're in growth mode. They're actively looking for tools that help them scale.

So I built a pipeline to reach them automatically.

Here's how it works

Every week, Codex scrapes the top 250 Product Hunt launches from the previous week. It grabs the founding team and their LinkedIn profiles directly from the launch page. GitHub Actions runs it on a schedule so I never have to think about it.

That list gets filtered against my ICP (B2B startups, SaaS, agencies) and fed into an outreach sequence on LinkedIn via ProspectZero.

The dm is dead simple:

"Hey, congrats on the PH launch. I voted for you. We help founders keep the momentum going by deploying AI agents that find and contact your ideal customers on LinkedIn for you. Happy to give you an extended trial if you want to give it a shot."

Just a relevant reason to reach out at the exact right moment.

Results after 2 weeks

• 42% reply rate on LinkedIn
• 6 meetings booked
• 11 Trials started
• 2 new paid customers

For context, we're using this to grow our own B2B SaaS. So our ICP is literally the people we're targeting. That alignment matters a lot.

Why it works

The timing is everything. These founders just hit publish. They're riding the post-launch high and thinking about what comes next. A message that acknowledges the launch and offers something directly relevant lands completely differently than a cold pitch with no context.

That's the whole principle behind intent-based outreach. Find the moment when someone is most likely to care, then show up.

Anyone else running something similar? Curious what other unique growth plays people are running that actually produce results.

I think Twitter/X might honestly be one of the most overlooked acquisition channels right now for SaaS.

Not because you need some giant audience either.

The real opportunity is that people constantly post exactly what they’re looking for in public.

I started paying attention to tweets like:
“can anyone recommend a tool for this?”
or
“looking for a Shopify app that does X”

And it changed how I think about outbound entirely.

Cold email feels way harder in comparison because you’re trying to interrupt people.

On X the user already has intent. They’re actively searching.

The funniest part is the companies winning here usually don’t seem huge. They’re just quick and helpful.

They respond fast.
They sound normal.
They provide value before trying to sell.

I also think the real opportunity isn’t content automation.

It’s discovery automation.

Over the last few months I’ve been experimenting heavily with systems around this.

Wanted multiple X accounts running with different personalities and proxies. I assumed there’d be strong tooling for this already but honestly most of it is pretty disappointing.

Chrome extensions were basically unusable since they’re easy for X to flag.

Tried xreacher too and while it initially looked promising, it just felt awkward and limited once I got deeper into it.

Testing another tool now that finally feels more usable.

Current setup:
3 separate X accounts with different personalities and tones generated using Claude and ChatGPT.

They monitor keywords, interact with posts, follow users, and gradually transition into DMs.

Things I monitor:
- mentions of brands
- competitor mentions
- pain point phrases

I’m also building out intent expansion maps with Claude.

For example if someone sells a cookie banner tool, there are dozens of adjacent phrases tied to the same underlying compliance fear even if the wording is completely different.

That part has been surprisingly powerful.

Still very early but I can already see how this turns into fully automated social prospecting agents over time.

Curious if anyone else has gone down this rabbit hole.

What tools or workflows are you using?

Hi,

Sharing something from a dataset analysis that affects how I think about local market sizing.

In a dataset of Google Maps local business listings across the US, roughly 50% have no website URL attached to their profile. This is across multiple categories and geographies, so it does not appear to be isolated to one vertical.

The downstream effect on market sizing is worth thinking about.

Most prospecting databases, enrichment tools, and lead generation platforms are built on the assumption that businesses have a domain. No domain means no record. That business simply does not appear in the dataset, not because it is inactive, but because the data pipeline has no entry point for it.

One implication: TAM estimates for local B2B markets that rely on web-based or domain-based data are likely undercounting the real number of operating businesses in a given category. The gap could be significant depending on the vertical.

A second implication: competition for reaching this segment through outreach is structurally lower, because most standard tools cannot even identify it. The friction is real, the contact data is harder to find, but the segment itself is not small.

None of this is a definitive claim based on this dataset alone. But the pattern is consistent enough to suggest that web-based data sources give an incomplete picture of local market size in the US.

Outbound consultant. Run cold outbound for 5-7 B2B clients at a time. Was on Outreach io for 4 years across multiple client engagements. Migrated my own agency to a 3-channel custom stack about 9 months ago and most clients have followed.

This is the build, the numbers, and the breakeven math.

Why I left Outreach

Outreach is a great product. It's not broken. The issue isn't the product, it's the price-per-result math for the kind of outbound my agency does.

My clients are SMB B2B, typical ICP is 30-200 person companies. We send ~800-2000 cold emails/month per client. Outreach billing for that load (4-6 user seats per client) was ~$1,200-2,200/mo per client. Across 6 clients that's ~$10k+/mo of pure tooling cost.

For high-volume enterprise outbound teams the per-seat math works. For agency-style outbound supporting smaller volumes per client, it stops working — most of the platform features are designed for things we don't do.

So I rebuilt.

The 3 channels

Channel 1: Cold email

Tool: Smartlead for infra (~$94/mo per client, sometimes Instantly for clients who prefer it). The actual platform doesn't matter that much at the deliverability layer — both work fine if you set up inboxes properly.

The DIFFERENCE from Outreach is where the SEQUENCE LOGIC lives. In Outreach, sequences live in Outreach. In my stack, the sequence logic lives in Late node as done-for-you AI workflows for sales teams — basically I build the decisioning graph there (when to send next touch, when to branch into a different angle, when to stop, when to escalate to LinkedIn) and Smartlead is just the SMTP-side delivery.

This separation matters because the same decisioning graph can drive cold email, LinkedIn outreach, and SMS without rebuilding for each.

Channel 2: LinkedIn

Tool: li-seller. Two jobs:

- Watching LinkedIn for signals (job changes, posts about category problems, comments under competitor company posts)

- Sending the actual LinkedIn touches (connection requests, follow-up DMs)

The signal-watching is where the real value is. We listen for "X person who used to be a customer just took a new job" and "X person at our target account just posted something relevant" and the workflow graph triggers an outreach touch.

This is the part Outreach didn't do. We were doing it manually before (SDRs scrolling LinkedIn). Now it runs continuously and the SDR just reviews the queue.

Channel 3: Phone/SMS

For higher-tier accounts only. Aircall + Twilio for SMS. Triggered manually after a prospect engages on email or LinkedIn. We don't cold-dial at scale.

The stack cost per client

- Late node (workflow platform): ~$299/mo

- Smartlead (email infra): ~$94/mo

- li-seller (LinkedIn signal + outreach): ~$299/mo

- Apollo (enrichment): ~$49/mo

- OpenAI tokens for drafting: ~$15-30/mo depending on volume

- Aircall/Twilio: ~$50/mo

Total: ~$806-820/mo per client.

vs Outreach at $1,200-2,200/mo per client + Apollo + LinkedIn tools layered on top.

The numbers (across 6 clients, 9 months)

Compared to the same clients on Outreach the year prior (apples-to-apples where possible):

- Reply rate (cold email): 4.1% → 5.8% (the LinkedIn signal layer is doing most of the work here)

- Positive reply rate: 1.9% → 3.1%

- Meeting-booked rate per 1000 sends: 9 → 15

- Time per client per week (my agency labor): ~10h → ~7h (the workflow graph eliminated a lot of manual stage management)

The meeting rate improvement is the part I'd emphasize. Reply rate going up is partly explained by the LinkedIn signal layer (we're targeting better leads now). Meeting rate going up is more about the multi-channel coordination — when someone replies on LinkedIn we follow up on email within the same workflow, which keeps momentum.

What broke before this worked

v1 was just "Smartlead instead of Outreach." Reply rates were identical to Outreach. No improvement. Lesson: the email infra wasn't the bottleneck — the targeting and the multi-channel coordination were.

v2 added LinkedIn signal listening but kept email + LinkedIn as separate sequences. Some prospects got cold emails AND cold LinkedIn DMs about the same thing within 24 hours. Looked spammy. Lesson: needed unified state across channels.

v3 unified state in a Late node workflow. This is what's running now. Each prospect has one state in one workflow regardless of channel — the workflow decides what touch is next.

v4 (where we are now) added the AI drafting layer for personalization at scale. Each touch is drafted by an LLM using the prospect's context. Reply rate jumped another ~1 point when we added source-attribution discipline to the prompts (so the AI doesn't hallucinate facts about the prospect).

What I'd warn anyone trying this

- If you don't have someone on your team who can think in workflows (state, retries, idempotency), don't try to build this. Pay for Outreach. The complexity tax of running your own outbound stack is real.

- The LinkedIn signal layer is the differentiator, not the workflow engine. If you remove that and just use email + LLM drafting, your reply rates will be ~5-10% better than Outreach but not dramatically.

- Deliverability is its own job. Even with the perfect workflow stack, if you don't warm inboxes properly and rotate sending domains, you'll cap out fast.

- The build is real work. ~3 weeks of focused effort to get the v3-style unified workflow live. Maintenance is ~2h/week of someone looking at error logs.

Build vs buy

For my agency, building won. For an in-house outbound team with 1-2 SDRs and no engineering bandwidth, the calculus is probably "stay on a platform" — Outreach, Salesloft, even Apollo's outbound module.

For an outbound team with 5+ SDRs OR an agency model OR a team that has a workflow-thinker on it, building can save 50%+ on tooling and produce better results.

Happy to share specific workflow patterns if useful.

Everyone online talks about SaaS growth wins 😅

“Just do SEO”
“Post on X daily”
“Launch on Product Hunt”
“Cold email 100 people”
“Build in public”

…but I’m honestly more curious about the stuff that completely flopped for people.

Like:

• channels that wasted months
• growth advice that sounded smart but did nothing
• tactics that got traffic but zero paying users
• “hacks” that only worked on Twitter screenshots 😭

For me it feels like a lot of growth advice only works:

• for certain niches
• certain audiences
• or founders who already have distribution

So now I’m curious…

What SaaS growth advice completely failed for you?

And why do you think it failed?
Wrong audience?
Bad timing?
Too saturated?
Low intent traffic?
Or just fake internet advice? 👀

If you had 0 users today… how would you get your first $100 online with SaaS?

No audience
No funding
No existing network

Just a product and internet access 😅

Would you:

• spam cold DMs?
• post on Reddit/X?
• build in public?
• run SEO?
• niche down hard?
• do lifetime deals?
• manually onboard users?

Feels like getting the first paying customer is way harder now because users have 100 free alternatives already.

Curious what would actually be your move today if you had to start from absolute zero again.

And what do you think matters more now:
distribution or product?