r/linkedinautomation

I'm rebuilding my outbound stack.

My biggest bottleneck right now is trying to find email on LinkedIn without copy/pasting into a separate tool. So I started testing Dripify.

They claim you can run everything (LinkedIn action → linkedin email finder → send email) inside one workflow. But is it actually good?

Here's what I need to know from actual users:

1. Success rate

Has it matched your reality? I need to find email on LinkedIn for real B2B decision‑makers. Not generic info@ addresses.

2. The extractor logic

How does their linkedin email extractor work with 2nd or 3rd degree connections?

3. Drip campaign integration

If I set up a drip campaign, can I add a rule like "If Dripify finds an email → send email. If not → continue with LinkedIn message only”?

I don't want to waste credits on unverified data.

4. Verification accuracy

They mention pre‑verification in their docs. How accurate is it?

Why Dripify (for context)

I'm moving away from manual Chrome extensions. Dripify is cloud‑based, so I don't have to keep my laptop open.

That alone is a win. But I'm worried their linkedin email finder is just an expensive add‑on.

Most LinkedIn outreach fails for one of three reasons: the personalization doesn't survive volume, follow-up is inconsistent, and there's no clear line between AI and human in the conversation. Here's how we fixed each.

Personalization at scale

Before any message is written, every prospect goes through 5 enrichment passes, recent LinkedIn posts, company website copy, active job listings, funding news, and a synthesized one-sentence insight about what that person is focused on right now. If no strong insight exists, the prospect gets skipped. No insight, no message. This one rule eliminates a huge chunk of generic outreach before it's ever sent.

Follow-up that actually happens

Most SDRs know deals need 5+ touches. Most stop at 2, not because they don't care, but because 200 active accounts means things get buried. We run a 4-touch automated sequence: Day 0, 4, 9, 16. Each touch layers in a different signal rather than restating the opener. Touch 1 uses the LinkedIn post insight. Touch 2 pulls from job postings. Touch 3 is shorter and acknowledges they're busy. Touch 4 closes the loop without pressure.

A real escalation rule

The system handles the 5 most common early replies, "not the right time," "send more info," "who are you," "we already have something." But the moment someone shows real buying intent, it hands off to a human immediately. The AI never books the meeting. That boundary is what keeps the conversation quality high once it matters.

The whole stack, Sales Navigator, Clay for enrichment, Claude API for messaging, a LinkedIn automation tool, and Make. com for orchestration, runs around $370-$520/month. The output is a pipeline of ICP-matched, pre-warmed conversations that reps step into rather than start from scratch.

Hello everyone. I was struggling to increase my reach on linkedin as a software developer.
So I tried my hands at content creation by creating technical posts by summarising blog posts from tech companies. But this required time and effort, and broke my consistency while I was creating some quality content I still needed to post something.

So I automated this process for me. Created- nobsnews.tech, this reads news/blog posts of top tech companies via rss, summarises it, generates linkedin like content for me ready to be pasted in human tone. Have you faced similar challenges in content creation when you’re busy with other important stuff and still need to post something to maintain consistency? I would like hear your automation/other tools and how you fix it.

P.s. the above site opens better on laptop currently.

I’m doing founder-led sales and my LinkedIn workflow is manual. I find prospects, visit profiles, copy details to a sheet, then write intros. Half the time I miss that they just changed jobs or posted about a pain point.

I need new saved leads in Sales Navigator to be enriched with company size, hiring signals, and recent posts, then summarized in Slack with a draft first line that references something real. If they change jobs, notify me. I don’t want spammy bots or to risk my account. It needs to be assistive, not automated DMs. What’s working that’s safe and personal?

A friend of mine is building a linkedin automation tool, with different proxies and vpn's so you don't get banned like the rest of the tool. Are these kind of tools reliable and actually worth it?

I built a SEO analytics tool and I want to reach to as many people as possible on Linkedin and through email.

I have been banned twice, restricted three times, and had a campaign frozen mid-sequence on a Monday morning when a client was waiting for a pipeline update.

And I logged back in the next day.

Here is the contradiction nobody wants to say out loud in this community. LinkedIn actively works against the people who use it most seriously.

It penalizes automation, throttles organic reach, buries outreach unless you pay for Navigator, and changes its rules without telling anyone.

But it is also the only platform where a cold message to a stranger can turn into a $20,000 contract within two weeks. No other channel comes close to that. Not email. Not Instagram. Not cold calls.

So we are all stuck in this weird relationship where the platform is genuinely trying to limit what we do, and we keep coming back because the alternative is worse.

The people who hate LinkedIn the loudest are usually the ones getting the most out of it. They are not leaving. They are venting between campaigns.

What I have stopped doing is trusting it. I treat every account like it could get restricted tomorrow. I do not build workflows that depend on one account surviving. I keep my lead data exported. I do not let conversations live only inside LinkedIn's inbox.

The platform is a distribution channel, not a business asset. The moment you confuse the two, a restriction notice will correct you fast.

Use it hard. Trust it never.

Anyone else running LinkedIn outreach while genuinely resenting the platform at the same time?

I tested dozens of AI-generated LinkedIn posts recently.

Most failed because they optimize for:
“sounding like LinkedIn”

Instead of:
sounding like a real person.

Patterns I noticed:

• overexplaining
• fake storytelling
• cliché hooks
• motivational filler
• generic “lessons”

The better posts usually have:

• specific opinions
• recurring themes
• recognizable phrasing
• contextual depth
• consistent tone

That’s why I’ve started thinking persona-based AI is the wrong direction.

Context-based generation feels much stronger.

Your audience changes.
Your projects change.
Your interests evolve.

But your thinking patterns stay more consistent.

I’m rebuilding my content workflow around this idea right now.

Would love to know:
What instantly makes a post feel AI-generated to you?

Does linkedin restrict account reach after trial period of premium page is over?

Hey all,

This might sound dumb, but I’ve been stuck on this for a while

I’m a student and I keep doing courses and earning certificates… but I almost never post them on LinkedIn. Not because I don’t want to — it just feels like a chore every time. Writing captions, posting one by one… I end up procrastinating and they just pile up.

Lately I’ve been looking into automation stuff like n8n and some GitHub projects that claim to auto-post. But now I’m confused.

Like:

• Is it actually safe to automate posting to your personal profile?
• Are those repos legit or just using bots that might get your account flagged?
• Has anyone here actually tried this long-term?

My “ideal” setup (in my head) is:

>

But I have a feeling it’s not that simple.

Right now I’m wondering if I should just settle for something semi-automatic (like generate caption + I post manually), but yeah… was hoping to hear how others are handling this.

Would really appreciate any real experiences or setups you’re using

Hi everyone, since sometime I've been trying to be consistent on linkedin to increase my reach but been busy with life and other stuff. Its hard to maintain consistency.

I'm building a tool which helps creators-

- track resources like media posts/news sources/blogs

- summarise those articles

- generate (human narrative) short and long form content (like linkedin post, yt shorts script)

- allow users to modify it before posting

- Post directly or schedule it.

This hopefully helps content creators be quick to post relevant content to their niche (like I wanna post technical - software related content).

Do you folks feel this is useful. Your feedback is valuable 🙏