How I Let ChatGPT Audit My LinkedIn Network (and Why I Axed 3,000 Connections in One Afternoon)
Most people treat LinkedIn like a Rolodex – collecting connections, chasing vanity metrics, and hoping “reach” translates into real opportunity. I did the exact opposite. One afternoon, I exported every single connection – 3,800 in total – and handed the list to ChatGPT with one simple mission: ruthlessly separate the signal from the noise. The result? I deleted over 3,000 connections in under eight hours and gained more clarity (and relief) than any “networking event” ever delivered.
The Problem: A Network That No Longer Served Me
For two decades I lived by the creed “your network is your net worth.” As founder of an SAP training business, coach, advisor, and investor, I collected thousands of contacts – former clients, SAP consultants, conference acquaintances, recruiters, opportunists, and perfect strangers alike. But my career has evolved:
- SAP training is behind me and I am not looking back.
- My new focus areas include coaching other tech entrepreneurs, nano-PE investing, contemporary art and global lifestyle ventures.
- My feed was flooded with irrelevant posts: entry-level job openings, random sales pitches, and memories of deals I’d long since closed.
I wasn’t curating an asset. I had built a digital graveyard.
The Catalyst: A Desire for Radical Reinvention
I realized that if I wanted my LinkedIn to reflect who I am today, I needed a clean break. This wasn’t a cosmetic spring-clean; it was a radical digital rebirth. But manually auditing 3,800 profiles? No founder has time for that. I needed scalpel-sharp objectivity and speed. So I did what any good AI entrepreneur would have done: asked ChatGPT to help with this endeavor.
The Playbook: AI-Powered Purge
- Export & Ingest
I downloaded my Connections export (CSV). - Prompt ChatGPT
I asked: “Based on everything you know about me, audit this list and flag anyone I’d never call about a serious investment deal or founder-to-founder coaching. Filter out legacy SAP contacts, random recruiters and sales reps, people whose names I don’t recognize, and low-impact roles.” - Define the Filter
My brutal litmus test:- Would I pick up if they called me? Would I even recognize their name?
- Would they answer if I called them?
If the answer was “no,” they didn’t make the cut.
- Review & Approve
ChatGPT returned a list of ~3,200 names. I scanned for obvious false positives, colleagues, friends & family, made a handful of manual keeps, and finalized the purge list. - Automate the Kill
Using a bulk-remove tool called Phantombuster, I deleted all flagged connections in one long afternoon. After the culling I went in and manually pruned a few more contacts.
The Purge: What Really Happened
- 3,200+ connections removed (≈ 85% of my list). Just over 400 contacts left now and I know every single one of them personally.
- Time spent: Less than 8 hours total (exporting, prompting, reviewing, bulk-removal).
- Emotional curve:
- Guilt & hesitation at hitting “remove,” even for names I’d never recognize.
- Surprise when zero people noticed.
- Relief and pleasant surprise as my feed cleared within minutes.
Immediate Aftermath: A Sharper Feed
- Silence, then clarity. My timeline went from chaotic noise to a curated stream of posts from mentors, co-investors, active founders, and real friends and cherished colleagues.
- Relevance reboot. Industry insights, deal announcements, and art-world news – no more generic “sales tips” or “apply now” blasts.
- Engagement spike. Comments and meaningful DMs surged (since every interaction now came from someone who actually knows me or my work).
Unexpected Wins
- Better mental focus. I reclaimed 10–15 minutes daily that I’d spent scrolling past irrelevant posts.
- Higher signal-to-noise. I now spot true opportunities – introductions, partnerships, co-investment pitches – without having to scroll through the rubbish bin of LinkedIn posts.
- Rebooted confidence. A leaner network reminded me that quality always beats quantity.
Key Takeaways
- Curate, don’t hoard. Your network should serve a purpose – fueling your current goals – not inflating a vanity metric.
- Let AI do the heavy lifting. Objective, data-driven filters cut through bias and nostalgia.
- Embrace digital minimalism. Sometimes the simplest reset – deleting 80% of your connections – yields the biggest gains.
- Your goals will change over time, just like mine did. When that happens, your network should change accordingly.
Your Turn
Is your LinkedIn network a strategic asset – or an emotional anchor to the past? If you’re drowning in noise:
- Ask yourself: Would you really call these people tomorrow? Would they answer your call or email? Do I even know these people?
- Consider AI: Use it to pinpoint your true allies.
- Take action: The only thing you’ll lose is clutter, and your next opportunity might be waiting in the new silence.
Want my exact prompts and tool recommendations?
DM me for the full playbook. In my next post, I’ll share the real-world opportunities and mindset shifts that followed my network purge – and how less truly became more. Stay tuned.
