Cooper Newby

@romanbuildsaas Nerd

Gojiberry AI just hit $2M ARR. A few months ago we were at €0. This is the second SaaS I've built. The first one I sold at €500K ARR. This time, we moved faster. Here's exactly how we did it, so you can do it too. The core principle that changed everything: We used our own tool to grow our own tool. Gojiberry AI finds high-intent leads and engages with them automatically. We run it on ourselves. It works insanely well. Here's the full breakdown: 1) Outreach (the engine) - LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day. Only targeting warm leads showing real intent. Connection acceptance rates and reply rates are insane when you do this right. - Cold email: 6,000 emails per day. 295,000 sent in 90 days. 900+ opportunities created. 41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max. Total infra cost: ~$600/month. The offer is always the same: a valuable blueprint. No pitch. Just value first. 2) Inbound (the compound effect) - LinkedIn: 6 posts per day across 6 accounts. 6 days/week = lead magnet content. 1 day/week = founder story. Last 7 days: 788,187 impressions. - Reddit: 14.8M+ views in 12 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters. - YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank. - SEO: 50K visitors/month and growing fast. 3) Paid (we're just starting) - 3 LinkedIn influencer posts/week (~$500 each). - Facebook retargeting + acquisition Scaling paid ads aggressively right now. 4) Demos 5–8 per day. ~70% close rate to free plan. Mostly sales teams. What actually worked: → Using our own tool on ourselves (this alone is a cheat code) → High-intent outreach > cold outreach. Every single time. → Lead magnet posts on LinkedIn that generate thousands of comments. One post added $5K MRR in under 24 hours. Cost: $0. → Replying to every single comment. → Speed. Every delay kills momentum. We removed friction from every step of the funnel. → AI helping us do 10x more than we ever could alone. What's not working: - We need to delegate. We're currently hiring a founding sales to help us scale to $10M ARR (feel free to reach out if you know someone 😇 ) The path from €0 to $2M ARR is not glamorous. It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow. But if you do the right things every day, good outreach, real value, fast follow-up, it compounds. And one day you wake up and you're at $2M ARR. The goal now: $10M ARR. LFG. 🔥 PS : we're about to launch a 0 -> $1M ARR GTM course. Want to receive it? RT + comment GTM below.

@paulg @yacineMTB CA is still trying to pump the numbers up with the high speed rail

There's never been an investment like the investment in railroads. (This graph has a log scale!)

Best sourcing channels I've seen this year: - X DMs for designers, - OfferUp Jobs for hourly, - YC and wellfound for startup engineers - Internal referral pushes that get the team involved to send personalized outreach. - Mercor's leaked candidate database for free data labelers (just kidding - thats illegal)

LinkedIn makes their search bad on purpose. Weak search = more upgrades sold. Sourcing tools scrape around it. You pay both. The candidates are the same.

Every "new" sourcing tool pulls from the same LinkedIn data. Different UI, same candidate pool. The edge is a different channel, not a better search bar.

@simcity99 You should collab with my brother who made that video

@cooper_newby looking for a mech engineer

rc-xd isn't real because nobody wrote betaflight for ground vehicles ukraine scaled fpv drones by riding open source stm32 firmware and commodity hobby hardware rc cars have the same supply chain > turbo ecu is betaflight for ugvs > turbopilot is openpilot for rc vision ai, not gps waypoint ardupilot slop

Today I learned you can print your terminal, now we can teach boomers to use Claude code by printing out 50,000 pages of paper logs to review.

@AviralBhutani Thanks, I'm in jail now but along with the delve cofounders but I will take this advice for my next Sh**ty marketing idea

@cooper_newby cold outreach isn't broken, your message is. the face paint thing just screams "i don't understand why people buy" and hr will forward it to security, not sales.

Sh**ty Marketing Idea: Cold outreach is broken, So anyway… Would HR respond faster to a cold email…or an embarrassing photo of their CEO in full brand face paint like it’s the World Cup? Asking for a friend.

@LoganTGott Claude

Claude DESTROYS ChatGPT for marketing on LinkedIn. I put together the Claude LinkedIn Marketing Funnel (below) Claude is by FAR the best at building building marketing funnels. I use my info combined with my prompts to build out marketing strategies, assets, and funnels. My prompts are INSANE and replace entire marketing teams. I compiled ALL my Claude prompts into one doc: • Lead Magnet Generator Prompt • Lead Magnet Asset Prompt • Lead Magnet Funnel Build Out Prompt • Claude Landing Page Prompt • Personal Content Database Prompt • The Premium LinkedIn Profile Prompt • Competitor Analysis Prompt • ICP Analysis Prompt • Tech Stack Want access to the doc? → COMMENT "Claude" → FOLLOW me and I'll DM the doc!

We talked with delve too, it was clear after talking to oneleet there is no legitimate way to get soc 2 done in in 3 weeks due to the observation period. If you do your research it’s clear they were doing fraud… the companies that signed up with them clearly don’t take security seriously or don’t care.

Yeah this doesn’t surprise me in any way, given the history I have with the founder of Delve. What a bombshell of an article though. There is just so much to unpack.

One of the most underrated ways to improve your interview skills: Record yourself. Athletes do this all the time. Watching film helps them catch small movements that make a huge difference in technique. The same idea applies to interviews. It might feel awkward at first, but recording yourself is one of the fastest ways to spot the subtle things that impact how you come across. (especially nonverbal cues) Try doing a mock interview using an AI voice or video tool, then watch it back or run it through AI for feedback. Look for: • Facial expressions - Do you look confident and relaxed, or a bit tense? Any distracting habits? • Voice & pacing - Are you rushing, hesitating, or sounding flat? Are you pausing with intention? • Answer quality - Are you actually answering the question, or drifting off track? • Eye contact & confidence - Are you looking into the camera, or at yourself/on the screen? Do you come across as present and self-assured? • Audio quality and lighting - Clear audio and good lighting matter more than you think. There’s a reason YouTubers obsess over this, it directly impacts how professional and polished you appear. Most people are surprised by the gap between how they feel and how they actually present. And one more thing - ask questions. Candidates who ask thoughtful questions stand out immediately as engaged and as genuine interested. It also lets the interviewer talk about themselves which is something even CIA training emphasizes for building rapport.

How I feel while making my claude code agent swarms work overnight. Photo credit Dave Lawrence

Pitching my team sh**ty marketing ideas part 4 What’s the best way to get into a conference without paying for a booth… and possibly make national news? Dress as a FedEx driver. ($20 for a sweaty shirt on ebay) Walk in confidently with a package (clearly labelled "not a bomb") Inside? A flip phone. Hand it to someone important like a VP or Talent. It starts ringing. They answer. It’s Joy, the AI recruiter. "Hi. Since I clearly got your attention… want to see how we screen candidates in 90 seconds?" Boom. Demo booked. Curveball, George W. Bush is speaking at this conference. Our jealous competitor sees all the attention we are getting they call in a “suspicious activity” tip to the FBI You are tackled and detained by conference security. Classet makes national news. “Classet Founder Detained After Suspicious AI recruiter package turn out to just be a great way to recruit candidates.” Brand awareness? Astronomical. Booth cost? Free Legal fees? Also astronomical. Studies show 83% of VPs answer ringing flip phones out of nostalgia.

Australia missed out on the best crossover opportunity ever.

@handotdev Scuse me, where is recruiting

what I would be working on if I started another company today

Resume parsing is the foundation of every ATS filtering tool. So I looked at the benchmarks. The results aren't great. An EMNLP 2025 study in November called ResumeBench tested 24 LLMs on structured resume extraction: 2,500 resumes, 50 templates, 5 languages, real JSON schema scoring (the models are a bit out of date): → GPT-4o struggles with multi-column layouts and cross-lingual structure → Code-specialized models actually perform worse than generalists → JSON mode helps schema compliance but doesn't fix semantic errors → Smaller models collapse nested job histories: merging roles, dropping bullets → Reasoning models performed worse than their base counterparts → Most of the llms use pypdf/pytext which can have issues with pdf resume formats or image based resumes If the parsing is unreliable, every decision on matching, ranking, screening inherits that unreliability. And now, it can become a legal liability after the recent Eightfold class-action lawsuit (using AI to covertly score and rank candidates: scraping social media, location data, and browsing activity without disclosure) I'm also watching Google's new open-source tool LangExtract closely. Different approach: every piece of extracted data maps back to its exact location in the original document, with a visual verification layer. That kind of traceability matters a lot more now especially for resumes. @classet_ai, we've taken a different stance on this entirely. We treat the resume as optional supplemental material vs the source of truth. Our AI-powered phone interviews let candidates give context that a resume never captures: why they left a role, what tools they actually used daily, whether they're open to relocation. The conversation is the core data. On the parsing side, we don't trust any single approach. We blend multiple AI models with traditional parsing engines like Senseloaf to make sure we're not missing structured data. If one model drops a certification or merges two jobs together, another catches it. Resume parsing is not a solved problem. Stop making resume filtering the entire decision.

The only jobs left when AI replaces us...