Watched a friend lose his LinkedIn account last year. Permanent ban, using a "safe" automation tool at "safe" daily limits.
Here's what I learned from it.
1. LinkedIn doesn't care about your daily limits
Everyone asks "how many requests per day is safe", which is the wrong question. LinkedIn's detection is based on acceptance rate and reply rate, not volume. You can send 20 a day that get ignored and get flagged, or send 100 a day that get accepted and replied to and be completely fine.
The numbers that matter are acceptance rate above ~40% and reply rate above ~20%. Below that, LinkedIn's systems start treating you like a spammer, and statistically speaking, you are one.
2. What gets you flagged is bad targeting
My friend blamed the tool and switched three times before realizing the tool was just fine, his list was the problem. When you scrape 2,000 "Heads of Legal at SaaS companies" and blast them, 95% of them don't know you, don't care, and ignore you. LinkedIn watches that ignore rate and concludes you're a bot.
3. The fix: stop volume, start targeting high-intent leads
I send 125 requests a week, acceptance rate is at 72% and reply rate at 55%, zero restrictions. The 125 are people who commented on a competitor's post in the last 2 days, posted themselves about the problem I solve, or engaged with specific creators in my niche. Same ICP as everyone else, but with an additional intent filter. I'm catching them when they're already thinking about the problem.
You can identify those people either manually (works but is a bit painful) or you use IbexAI to find them at scale, every day, and on autopilot.
This is gold. The distinction between acceptance/reply rate vs. volume is something most people get backwards when automating outreach. Your insight about intent filtering—targeting people already engaged with your niche rather than just cold lists—is exactly what separates successful automation from account bans. The 72% acceptance and 55% reply with 125 weekly requests shows you've really dialed in the specificity. Question: For someone just starting with LinkedIn outreach, would you recommend starting manually to build that intent list first, or is there a way to test targeting at smaller scale before scaling up?
What I like here is that you’re solving a real founder problem instead of chasing another “generic AI tool” idea. A lot of indie hackers struggle more with finding the right people than actually building the product itself.
The interesting part is that high-intent leads are way more valuable than just getting random traffic numbers. Even a small list of the right users can outperform thousands of cold impressions.
Also curious — while building this, did you notice certain communities or platforms converting better than others for early-stage SaaS founders? I feel like most founders waste months posting in places where their ideal users were never hanging out in the first place.
The biggest reason people get restricted on LinkedIn is aggressive automation and spam-like behavior. LinkedIn’s system looks for unnatural activity patterns very quickly now.
A safer approach is to keep outreach personalized and slower instead of blasting hundreds of connection requests daily. I’ve seen accounts stay healthy much longer when they focus on quality conversations rather than volume.
A few things that usually help:
Warm up newer accounts gradually instead of sending large numbers immediately
Personalize connection requests instead of copy-paste templates
Avoid dropping links in the first message
Keep daily connection requests moderate
Engage with posts before messaging someone
Use a real profile with consistent activity and complete information
Avoid using risky automation tools that mimic mass behavior
One thing that works surprisingly well is treating LinkedIn more like networking instead of cold selling. Commenting on posts, sharing insights, and building familiarity first usually improves reply rates naturally.
I’ve also noticed outreach performs much better when the message focuses on solving a problem or starting a conversation instead of pitching services immediately.