Matt Bauer

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Matt Bauer

Matt Bauer

@Matt___Bauer

Building IbexAI: Finds B2B prospects the moment they think about the problem your product solves

Boston, MA Katılım Nisan 2026
34 Takip Edilen38 Takipçiler
Matt Bauer
Matt Bauer@Matt___Bauer·
@troyaitken_ This post has actually signals itself. Each one commenting "JUMPSTART" leaves a signal that they are interested in signal-based selling. Someone clever who sells related services could take advantage of that.
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Troy
Troy@troyaitken_·
Several founders have asked me about signal-based outreach after seeing this. The problem is it's hard to tailor per business. Most consultants want hours of discovery calls before you see anything real. So I built a Claude Skill that skips that part. Give it your site and a one-liner on who you sell to. Here's what you get back: 1/ Your buyer's actual pains, sourced from reviews, Reddit, and job postings; using their words, not yours. 2/ 5-6 buying signals specific to your business, ranked by which to build first. 3/ A data-tool stack recommendation if you don't already have one (what to use, not just a list of names). 4/ 4-6 ranked campaign ideas, ready to hand to Claude Code to build the campaigns. No call. No weeks of back-and-forth. You get the starting point in the time it takes to read it. Comment "JUMPSTART" and I'll send you yours.
Troy@troyaitken_

I run cold outreach for B2B companies across 15+ industries. Cold email is not dead. What's dead is the way most people do it. What's actually working: - Signal-first lists (not job title + company size) - 3 emails max, 50-75 words each - One trigger event per opener - ESP-split by inbox provider (Outlook vs Google, different copy) We're seeing 10-30% positive reply rates. Most setups get 1-2%. The gap isn't the channel. It's the list and the timing.

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Matt Bauer
Matt Bauer@Matt___Bauer·
i'm writing angel checks up to $25k for exceptional early-stage founders. if the money hit your account today: what would you build? why you? reply below in 3-5 sentences. the best answers become a conversation.
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Ksenia Moskalenko
Ksenia Moskalenko@kseniam0s·
$0 budget. how would you go about securing first 1,000 paying customers?
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Matt Bauer
Matt Bauer@Matt___Bauer·
@LoganTGott "You and 859 others" Did the founder like his own post or what? :D
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Logan Gott
Logan Gott@LoganTGott·
We took a tech founder from 1 LinkedIn post to $250k in pipeline in 30 days. This is not clickbait. Starting point: 1 post ever, 0 leads, in stealth Impressions added in 30 days: 690,000 New followers: 700 Biggest single post: 150,000 impressions Intro booked: a $1B tech company Pipeline generated: $250,000 I wrote up exactly how we did it so you can do the same. Comment "30" and I'll send it your way in a few minutes.
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Matt Bauer
Matt Bauer@Matt___Bauer·
Tired of being ghosted? Try being insecure! Instead of the usual “following up, circling back” type of follow-ups, use these instead: “Just making sure we're still on good terms?" "Just tell me if you've found another provider. I can take it." "At this point, I'm following up for emotional closure."
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Matt Bauer
Matt Bauer@Matt___Bauer·
@tim_yakubson For the inputs layer, I’d add more specialized tools that don’t just generate cold lists but leads with high-intent. One example for this is getibex.com
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Tim Yakubson
Tim Yakubson@tim_yakubson·
Every GTM tech stack splits into 3 buckets And most people can't name which one they're overpaying for. 1) Inputs. This is Sales Navigator, Apollo, scraped CSVs, and your CRM. Anything that hands you raw company or contact data. 2) Orchestration. This is the brain that enriches, qualifies, personalises, and routes that data. It used to be Clay. It's now Claude Code, Cursor, or an automation layer doing the same job. 3) Outputs. This is Smartlead, Lemlist, HeyReach. Anything that actually contacts a human. There's also one automation platform like n8n, Make, or Zapier gluing the three together. Now here's the uncomfortable bit. If you can't say which bucket a given subscription lives in, you're almost certainly paying for the same job twice. The duplicate spend almost always hides in the orchestration bucket, since Claude Code took that job over from Clay. Map your stack.
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Matt Bauer
Matt Bauer@Matt___Bauer·
@alxberman Agree and adding to that: A good list does not consist of people fitting your ICP but people fitting your ICP AND having showed intent.
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Alex Berman® 👑 Galadon
80% of cold email positive responses turn into meetings. Most people never hit that number because they're fixing the wrong thing. They rewrite the copy. They change the subject line. They test a new CTA. The problem is usually the list. Bad data = bad results. Doesn't matter how good the email is. Fix the data first. Then tweak the copy.
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Matt Bauer
Matt Bauer@Matt___Bauer·
@adriansolarzz The good old engagement bait. Each one commenting "SLIDESHOW" leaves a signal that they are interested in TikTok growth services. Someone clever who sells similar services could take advantage of that. To do this at scale use getibex.com
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Adrian Solarz
Adrian Solarz@adriansolarzz·
i'm LEAKING our entire TikTok slideshow system: we used this to produce 900+ pieces of content per client MONTHLY... this is literally the system that's outperforming reels for save rates, DM shares, and substantive comments like + comment "SLIDESHOW" and i'll send it over (must be following + RT for priority access)
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Matt Bauer
Matt Bauer@Matt___Bauer·
I keep faking a plane crash in the first 30 seconds of every video call. I've started joining every video call 30 seconds early. When you join early, everyone's virtual note takers join early too. I spend the first few seconds yelling that both engines are out, we're going down over the Atlantic, I love my family, and someone needs to tell my story. I then do the rest of the meeting normally. When the meeting ends, everyone gets an emailed transcript where the AI summary reads: "Attendee faces catastrophic engine failure, wishes his story to be told, and Q2 revenue updates"
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Matt Bauer
Matt Bauer@Matt___Bauer·
@MichLieben The good old engagement bait. Each one commenting "6750" leaves a signal that they are interested in LinkedIn services. Someone clever who sells similar services could take advantage of that. To do this at scale use getibex.com
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Michel Lieben
Michel Lieben@MichLieben·
I had Claude Code read 6,750 LinkedIn posts from 25 creators who go viral consistently. It pulled out exactly why they win, across AI, sales, and content. I ran it because those same patterns are what grew my own LinkedIn account past 75K followers, and that growth is a big part of how we pushed ColdIQ past $7M ARR. I packaged the whole thing into a free guide. Inside: → the hooks, topics, and post lengths that land, and the ones that quietly kill your reach → the 3 formats sitting behind 82% of every post over 500 likes → what shifted between 2025 and 2026, so you model this year's playbook instead of last year's → my exact step-by-step to break through in your own niche → how to turn the people who engage into clients, using the cold email workflow we run Comment "6750" and I'll get it to your DMs. (You'll need to be following me so I can DM you)
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Matt Bauer
Matt Bauer@Matt___Bauer·
Just coming back from an energizing interval run 💪 Looking forward to spending my day in front of a screen 😄
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Matt Bauer
Matt Bauer@Matt___Bauer·
@georgesttock The good old engagement bait. Each one commenting "UGC" leaves a signal that they are interested in short-form content services. Someone clever who sells similar services could take advantage of that. To do this at scale use getibex.com
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George Stock
George Stock@georgesttock·
Seedance 2.0 = 550+ videos a day Fully realistic UGC ads — cinematic lighting, natural movement, clean pacing — all powered by AI. I’ve got this crazy workflow running right now that creates, tests, and scales short-form ads automatically... nonstop. It’s already live and campaigns are scaling. If you want me to share the full setup, just comment “UGC” (must be following)
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Matt Bauer
Matt Bauer@Matt___Bauer·
The good old engagement bait. Each one commenting "PAGE" leaves a signal that they are interested in ecommerce improvement services. This can be used by somebody else who is smart and sells similar services. To do this at scale use getibex.com
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Alex Minecan
Alex Minecan@alecsandrull·
going to regret giving this away for free... $467K/month. 9,750 orders. 3.83% conversion rate. built with AI pages that took 60 seconds each I put the entire system behind this into a 36-page guide - including product sourcing, demographics, scaling and what I'd do differently if I started from zero today. Comment "PAGE" and I'll send it over (must be following)
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Matt Bauer
Matt Bauer@Matt___Bauer·
We just introduced powerful filters to our high-intent leads search. 💪 Now you can find all people who showed high-intent for your product. Then you filter them down to your exact ICP.
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Matt Bauer
Matt Bauer@Matt___Bauer·
HIRING APPOINTMENT SETTER 🔎 Requirements: • good english • experience • pro-active work ethic Comment "HIRE" and I'll reach out 👇 (Follow so I can DM)
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Matt Bauer
Matt Bauer@Matt___Bauer·
@tech_nurgaliyev The good old engagement bait. Each one commenting "AUDIT" leaves a signal that they are interested in AIO/GEO services. This can be used by somebody else who is smart and sells similar services. To do this at scale use getibex.com
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Sabyr Nurgaliyev
Sabyr Nurgaliyev@tech_nurgaliyev·
Who wants a FREE Reddit audit that gets you ranking on ChatGPT? I’ll break down: • what’s currently ranking • what’s blocking your growth • what to fix immediately All I ask → leave a short review after REPLY "AUDIT"
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Matt Bauer
Matt Bauer@Matt___Bauer·
@zackpaid The good old engagement bait. Each one commenting "FABLE" leaves a signal that they are interested in meta ad services. This can be used by somebody else who is smart and sells related services. To do this at scale use getibex.com
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zack
zack@zackpaid·
been running our ENTIRE meta ads research inside 1 fable 5 project… and gotta say it’s absolutely cookin’ we replaced 20h/week of FB library digging with a 30s brief produced by 5 prompts, 1 skill file and meta’s MCP basically cracked the code for finding winning ad funnels, why they worked and modeling it to your biz AT SCALE and i’ll be sharing the FULL step-by-step system with YOU now (might regret it but f*ck it) here's what's inside: > the funnel teardown prompt having fable 5 click through a competitor's entire flow from ad to conversion and reverse-engineer WHY each page works, not just what it looks like > the ad library scrape surfacing every 30+ day active ad in your category and handing you a gap analysis of the angles nobody is running > the negative review mining workflow pulling "the advisor who actually talks to you" out of a single 20-minute session for a financial advisory client, straight from their competitors' 1-star reviews > the winning funnel reverse-engineering prompt extracting the belief-shifting order and objection sequence behind a competitor's best-performing page > the full 24/7 research cadence: weekly ad library refreshes, bi-weekly review mining, monthly funnel teardowns, all running autonomously in cowork all backed by $10,000,000+ generated for businesses via meta ads funnels like + comment "FABLE" and i'll send everything over (must be following + RT for priority access)
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