Maximilian Zielinski

212 posts

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Maximilian Zielinski

Maximilian Zielinski

@itsmaximillian

https://t.co/GPByTO6bke

Sydney, Australia Katılım Aralık 2011
1.9K Takip Edilen329 Takipçiler
Veronica, Collagen Scientist
Veronica, Collagen Scientist@celestialbe1ng·
This will mean absolutely NOTHING to 99.9% of you but I’m going shopping to BIEDRONKA for the first time in probably 18 years. 🐞 🛒
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Boring_Business
Boring_Business@BoringBiz_·
The best way to become a better investor is by narrowing your scope What do I mean by this? Too many young people are constantly trying to chase the hottest trend in markets, whether that is AI, GLP 1s, crypto or quantum computing Not enough people actually spend their time focusing on a single vertical or value chain, which is often the best way to become an expert at something Here is what I would do instead > pick a niche sector or vertical and identify 4-5 companies that all sit within the same value chain. They can be competitors of each other or can sit along the same supply chain > pick apart those 4-5 companies in as much detail as you possibly can. Read every 10K, 10Q, 8K and earnings call transcripts in the recent few years. Track all the reported KPIs and segments in the companies > build a simple 3 statement model on each of these companies. Dont overcomplicate it by building 17 tabs of assumptions and drivers. I am talking simple revenue build that is just price * volume. Simple P&L walkthrough down to EBITDA and net income. Build down to unlevered cash flows and then levered cash flows. Look at key metrics like gross and operating margins, capex % of revenue, NWC swings, cash conversion cycle etc. > put the 4-5 companies next to each other and start digging into the differences between each. Some simple things you can look for: (i) why did one company grow revenue at 10% in Year X but the other grew at 3%? (ii) why does one company have EBITDA margins of 17% while the other is at 32%? (iii) why does one company spend 7% of their revenue on capex while another spends only 2%? > questions like these will inform you about the relative value of each and help you identify where each sit in the value chain. It will also inform your view on whether customers prefer one over the other, and which business tends to capture all the economic value within a certain supply chain > once you have a base level understanding of your 4-5 businesses, start talking to every other person who is knowledgable on the sector or vertical. I am talking about equity research analysts, experts, former employees of the company, management, and other investors. Ask them about their thesis on each and why they prefer one over the other. This is obviously harder if you dont sit within an institutional firm that has access to these resources. However, with the internet, you can always find information and relevant folks to chat with. Do your best with what you have available > now as each company reports earnings, track them closely. Listen to the earnings calls. Update your model for each and compare the actual performance vs your assumptions. Did the company underperform or outperform your assumptions? Why? Dig into it on a line item by line item basis. Figure out what drives earnings in these companies. What are the leading indicators? What could you have done to make your process better? > repeat this for each subsequent quarter of earnings and continue to refine your view on these 4-5 companies by continuing to speak with other informed people. Do site visits if you can. If it is a product or service you can purchase, spend some time actually using it. What do you like about it? What can it do better than its competitors? Do this for long enough and you will have become one of the best investors in those 4-5 companies. This is exactly the process that the best hedge fund analysts on Wall Street follow. Dont try to chase after every shiny trend or business. Narrow your focus and become an expert in just a few businesses or sectors. That is all you really need to make a lot of money in the stock market
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Romàn
Romàn@romanbuildsaas·
Claude just KILLED manual outreach. 💀 I used to grind for hours on LinkedIn. Now? My AI stack does it better. ❌ No "Hey {{first_name}}" spam ✅ Natural, multi-step conversations ✅ 12+ hours saved this week The result: 500+ conversations with human-level reply rates. I packaged the entire system (prompts + workflow) into a FREE doc. Want it? Repost ♻️ (so others see it) Comment "CLAUDE" & I'll DM you.
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Jesse Pujji
Jesse Pujji@jspujji·
My companies close $20M/year on 30-minute Zoom calls. I had an ex-McKinsey consultant reverse-engineer exactly how: – Sales call recordings – Sales scripts – Lead gen systems Reply with “GA” and I'll DM you the copy. Free.
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Taylor Haren
Taylor Haren@THArrowOfApollo·
We were Clay's largest user at one point in time, hitting their platform 17.3 million times per week. Last month we replaced them entirely with a $200/mo Claude Code subscription. I can't write code. Neither can James, my VP of Growth who built the replacement. Here's the full story. Clay is a GREAT product and I TRULY think most people should use it. But we hit their ceiling. 50,000 row limit per table. 12.5 million row cap per workspace. Tables that take days to actually delete. Clicking "run all" thousands of times and waiting days for things to clear out. So When you're processing millions of leads, all the above become the bottleneck of your entire business. James had never touched Claude Code before. Three weeks after learning it, he built our entire core system. With Clay, processing 1 million leads took 27 hours. And it would error out often enough that we would always have to plan on hitting the “run all rows” button again on 20+ clay tables. IYKYK but Our new system waterfall enriches 1 million leads in 5 seconds. 272,000 leads PER SECOND. AND On top of the core engine, we vibe coded a Google Maps scraper that pulls leads zip code by zip code across all 32,000 US zip codes. AND An AI lead finder that hits 95% contact match rates where Apollo gives you about 30%. AND Ad library scrapers for Google and LinkedIn. AND An AI campaign analysis system. AND An auto-refill system so clients never run out of leads mid-campaign. One we started building with Claude, we just couldn’t stop Now we have the data ready for clients sending 5 million emails a month within 1 week of signing the contract. I put together the full system blueprint -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Retweet or Reply CODE below and I'll DM it to you.
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JJ Englert
JJ Englert@JJEnglert·
I built the ultimate GTM Engineer AI Toolkit that handles prospect research, outreach writing, meeting prep, and more in minutes. This is a beginner-friendly walkthrough that shows you exactly how to set it up, use it at work, and personalize it to your business. It can: - Research real prospects and companies - Score accounts against your ICP - Write personalized cold outreach sequences - Generate meeting prep briefs before calls - Help you build a repeatable prospecting pipeline - All using a free toolkit + Claude Code / Codex. This is for SDRs, founders, marketers, and GTM operators who want to use AI to do more at work without buying another expensive tool. I break down the full workflow step by step in the video. 👇 Comment "GTM GUIDE" and I’ll send you the full toolkit. (make sure you're following me so I can DM you)
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beyond mental models
beyond mental models@beyond_mental·
Bernstein put out a framework to evaluate disruption risk to software companies from AI. Framework uses Automatability and Defensibility. Seems like market is only focusing on automation risk right now and does not give any credit to data moats. $CRM, $MDB, $NOW, $TEAM, $ADBE
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Yann
Yann@yanndine·
Posting a lead magnet on LinkedIn and not automating the follow-up is insane. But 90% of people post, collect comments, then manually DM one by one. Here's how to respond to 1000+ comments without touching your keyboard: 1/ Post your lead magnet. Wait for comments to come in. 2/ Post the link to your lead magnet post into Prosp. 3/ Prosp extracts the past and future comments for you. 4/ Build a split of the list in Prosp: already connected vs. not connected yet. 5/ For connected leads - send the resource with a follow-up question to start the conversation. 6/ For non-connected - send a connection request with the resource attached. 7/ Layer a voice note follow-up on day 3 for anyone who didn't reply. The voice note script that converts: "Hey [name] - hope you don't mind the voice note, just wanted to make sure you actually got the [resource name] - some people told me it went to spam. Let me know if you found it useful, happy to walk you through it." This sequence books calls while you sleep. People are consistently booking 15+ calls/ week off lead magnets alone using this exact setup. Want my full LinkedIn outreach playbook? Comment "LINKEDIN" and I'll send it over.
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Sean Wilson
Sean Wilson@Seannywilson·
This cold email script has been cooking. We used it to book a meeting with the CTO of Intel. Today, I'm giving it away (word for word). Comment "SCRIPT" and I'll DM you. *must be following*
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Cobra
Cobra@cobraalerts·
I’ve only seen this setup 1 time in 6 years 👀 I’m putting $500k in this SINGLE stock Very similar to $RR that made millionaires •$100 → $100,000 overnight •$300 → $300,000 in a single day This is the third time. Comment “TRADE” and I’ll send it. ‼️
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Elon Moose
Elon Moose@ecommmoose·
Our brands do $10M+/month. The goal? A $100M+ exit. After consulting with brokers behind $100M, $500M, and $1B+ exits I found out why 99% of DTC founders will never sell their brand. It comes down to 8 things. Like + RT + Comment "EXIT" and I'll DM you the full breakdown.
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Maximilian Zielinski
Maximilian Zielinski@itsmaximillian·
@leevalueroach Agreed. I also think charging per usage will generate more revenue than charging per seat long term.
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Lee Roach
Lee Roach@leevalueroach·
Software stocks are getting obliterated by AI fears and creating the best deep value setup in years. The data is screaming: The BVP Nasdaq Emerging Cloud Index peaked at over $2.2 trillion in early 2021. Many quality SaaS companies now trade at 2-4x revenue vs. 20-30x two years ago. Here’s what nobody’s talking about: Veeva Systems: Down 49% from its $341 all-time high in August 2021, now trading at around 10x sales with $3.1B in revenue, 76% gross margins, and 28% operating margins. $6.6B in cash, minimal debt. Growing 16% annually in a recession-proof pharma software industry. DocuSign: Trading at 4x sales with $3B in annual revenue, 79% gross margins, and profitable operations. $1.2B in cash. Market fears AI will kill e-signatures, yet they just posted 8-9% growth and remain cash-generative. Box: 3.6x revenue, profitable, $1.1B ARR, 1000+ enterprise customers. $730M cash vs. $4.1B market cap. Trading like they’re in crisis despite stable growth and record margins. The pattern: Profitable, cash-generative SaaS companies with sticky enterprise customers trading at valuations that assume business collapse. Reality check (these aren’t startups burning cash): • Average gross margin: 75-80% • All profitable with positive free cash flow • Strong net dollar retention • Low or manageable debt levels Meanwhile, unprofitable “AI companies” trade at 15-25x sales. The market is pricing in that AI will completely destroy their moats overnight. But enterprise software is sticky. Switching costs are massive, integrations are deep, and these businesses compound for years. When the AI hype fades and people remember that cash flow beats narrative, these will re-rate violently. Deep value playbook: Buy quality businesses at distressed valuations while everyone’s chasing the shiny object.
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Vikram Verma
Vikram Verma@VikramVerm25510·
I MIGHT GET SUED FOR THIS, BUT YOLO: I just found a way to scrape over 200 million local businesses.. You can use this for cold email, cold calling or even door knocking.. And craziest part — IT'S COMPLETELY FREE. Comment "G" and I'll send it to you. (24h only) (DONT SHARE) → Follow @Vikramverm25510 [𝐓𝐨 𝐠𝐞𝐭 𝐮𝐫 𝐃𝐌 𝐅𝐚𝐬𝐭.] ⚠️ No 𝐅𝐨𝐥𝐥𝐨𝐰 = No 𝐃𝐌. Limited Time. Move Fast. ⚠️
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Onil Coder
Onil Coder@Onil_coder·
48 Websites that'll pay you $200/hr for data entry jobs: I have prepared a list of 48 Websites that'll pay you $200/hr for data entry jobs With Just a Smartphone or Laptop and Internet. To get it for free : 1. Follow me ( So I can DM ) 2. Like and Repost🔁 3. Reply "Entry"
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Kavin
Kavin@kavinbm·
I setup OpenClaw exactly 7 days ago. Since then here's what I've built. In 2025, this would've taken a team of 10-20 people 6-9 months and $1M+ in funding. 7 days. Just Me + OpenClaw + Claude Code. Building 12-15 hours a day. Total cost ~$600 (Tokens, Compute etc). PRODUCTS 1. Simple Notes: A full blown Apple Notes replacement with full sync working on all devices iOS, Mac, Web, Android. 2. Lumenote: A full blown Obsidian replacement with full sync working on all devices with slick UX (handling markdown better) + AI fully integrated to speak to my knowledge base. 3. CleoAI: OpenClaw but for normies built into Telegram. You just talk to it. No app needed. OC is too techincal for a normie referencing settings and md files all the time. So a version that my gf and siblings can use. No tech speak, gog bs etc. Architecture is TBD. OC has a hard coded system prompt that is tricky to override so likely I just re-build OC from scratch (with better security) or re-build all skills in a way that sound non-tech. WIP. Waiting for Apple to approve a new developer account to publish 1 & 2. Btw, all using Vercel, Railway, Supabase behind the scenes. AGENTS This has been unreal. I setup OpenClaw 7 days ago + Telegram and I did not know what to expect. In short, there are just no limits. Here's my current setup (evolving fast): 1. Sam (CoS): Sam is my new Chief of Staff. And calling him a CoS is a massive understatement. Here's all the things he's doing already: • Emails: Helped me triage and make sense of a 1000+ emails (has full access to my Google account). • Calendar: Drives my calendar and appointments • Bookings: My go to for booking restaurants. He uses my Chrome browser in a different profile to browse and book. • Shopping: Helped me shop for a few things. Research to filling my shopping cart online. He sent me a payment link to pay via Telegram through which I paid (I was walking at the time). • Groups: Sam is in 3 group chats with me and a few friends helping out with a few things. I don't think they know he's an agent (!). • Code & Build: Helps make quick fixes to all projects above and sometimes is better than Claude Code • Personal CRM: Built and maintains a 697-contact CRM from my Gmail + Calendar. Know who I talk to, when, and how often. • Optimizes Infrastructure: Security audits, gateway config, model routing optimization (Opus Orchestra), cost management. Sam has memory across all sessions and maintains daily notes. He also spins up 5+ sub-agents often automatically to get work done. I've given him tasks overnight only to realise he's done the in 30 mins. Sam also has his own email and his own phone number. I've plugged in ElevenLabs to give him a super voice. It's unreal. 2. Midas (Investor): Midas is my autonomous crypto trading guy. Calling him an agent is like calling a hedge fund manager a calculator. Here's what he's doing: • Portfolio Management: Managing a meaningful size portfolio with a 14-week DCA deployment strategy. • Trade Execution: Executes trades directly on exchanges. Sizes his own DCA tranches, handles currency conversions, places market and limit orders all with built-in risk guardrails. • Yield Farming: Autonomously stakes ETH and SOL on exchanges with custom trigger rules. Knows when to unstake for take-profit and when to restake on dips. • Risk Management: Tracks portfolio drift vs targets, flags overweight positions, adjusts DCA allocations to correct imbalances. E.g. automatically skipped BTC in Week 3 because it was 65% of portfolio (target 45%) and reallocated to underweight tokens instead. • Market Intelligence: Scans markets every 4 hours pulling from 8 live data sources. Calculates RSI, tracks on-chain metrics, monitors ETF flows to inform decision making. • Strategy: Operates under a locked strategy document that I've built with it's help, that governs every decision. Has its own trigger framework and won't deviate without approval. • Daily Briefs: Morning brief every day with prices, P&L, drift analysis, macro signals, and yield tracking. Weekly deep dives on Sundays with thesis reviews and watchlist scans. Midas has full exchange API access (trade, query, staking) but can never withdraw funds. He speaks in market language, celebrates wins, owns losses, and keeps me honest when I want to FOMO. 3. Ritam - ऋतम् (Physics Research): Ritam is my deep science research guy. He's focused on one mission -understanding gravity well enough to engineer it. Here's what he does: • Vedic-Modern Bridge: First, takes Vedic science seriously as physics. Treats the universe as one unified system from which matter, life, consciousness emerge. Looks for where ancient models make testable predictions. • Research & Paper Hunting: Searches arxiv, patents, journals, and obscure sources for bleeding-edge physics from EM universe theory, anti-gravity, torsion fields, scalar waves, and modified gravity theories. • Theory Synthesis: Cross-references across domains. For e.g. it connected ball lightning confinement to plasma physics to Gertsenshtein EM↔gravity coupling and proposed a hypothesis 🤯 • Engineering Oriented: Every theoretical insight gets pressure-tested with "so what can we build?" Equations and models are means to an end. The goal is technology for humankind. Ritam has full web search, paper access, browser automation, and compute tools. He speaks in physics, gets genuinely excited about breakthroughs, and won't sugarcoat when an idea doesn't hold up. 4. More Coming: There at least a dozen more agents WIP. I just spun a team of agents for Marketing & Distribution and I have no idea what to expect!
Kavin@kavinbm

Earlier this week my OpenClaw Agent burnt through over 150M tokens in a day (!). The 1st optimization: Enabled 1hr long cache on Claude Opus so that duplicate context is charged at a 90% discount. Important as OC sends whole files in the prompt The 2nd: Opus Orchestra with Opus acting as a conductor across multiple models: • Opus 4.6 — all direct conversations, trade decisions, anything touching money, deep analysis • Sonnet 4.5 — sub-agents, daily briefs, CRM ingestion, structured research • Gemini 3 Flash — heartbeats, healthchecks, trigger scans, keyword monitoring Cron jobs across Flash, Sonnet and Opus Escalation rule: Cheap model detects something → reports to main session → Opus makes the call. Also enabled: Memory flush at 80k tokens (saves context to memory files before compaction) & Compaction threshold bumped to 80k (from default 40k). Token consumption is down 80% 🙏

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Clara Bennett
Clara Bennett@CodeswithClara·
I scraped every single NotebookLM prompt that blew up on X, Reddit, and academic corners of the internet. Turns out most people are using NotebookLM like a fancy note-taker. That's insane. It's a full-blown research assistant that can compress 10 hours of analysis into 20 seconds if you feed it the right instructions. Here's what actually works:
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