Paytience

Joined December 2017
155 Photos and videos
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if i was starting my FIRST DAY as a new Head of Content, here's what i would do: - build a new blog using a static site generator, host with GitHub, deploy with Netlify or Cloudflare Pages. for an existing blog like WordPress, set up an MCP connector. the goal is a fully AI-native blog, analysis, content creation, updating, all from the terminal, all in my control - get access to Gong/Intercom/Slack and extract common entities and n-grams. find the language customers and prospects really use, use this as seed keywords for topic research - build key "source of truth" files in markdown i can reference throughout my workflows: a master list of product features and use cases, canonical writing voice with specific reference articles, key strategic priorities to shape everything we do - crawl our sitemap and generate vector embeddings for every article. use this to analyse topical authority (and topic "drift") and automate internal linking - schedule a recurring, automated content audit: pull rankings and backlink data via the Ahrefs MCP, analyse AI search visibility with Brand Radar, flag technical issues with Site Audit, look for traffic decay via GSC and make a priority list of content updates - set up a daily cron job to refresh our highest priority articles: extract the article content, run through AI Content Helper to fill topic gaps, update old claims and statistics, save as a draft for my review - run a content gap analysis using the Ahrefs MCP to find key topics our competitors have covered that we haven't. use Firehose to get a daily update of new articles and industry news emailed to me - build my Content OS: a centralised dashboard that pulls all of these reports and workflows into one place. this is exactly what i've done at Ahrefs using Agent A - get fired for spending $80M in AI credits in my first day (maybe?) --- i sound like an obnoxious AI hype bro, but all these workflows are things my team have actually built. many of them will become the norm sooner rather than later AI is truly putting the "manager" into "Content Marketing Manager". we now operate at a higher-level of abstraction, building systems to support our work instead of doing everything ourselves we don't have to consign ourselves to Google Docs and rely on developers and designers: we can build AI-native blogs as malleable as plasticine and shape every facet of them to our exact specification. if you can imagine it, you can build it! and as crazy as this sounds, this isn't so much the "first 30-days" of content marketing as the first 30-MINUTES, because so much of this infrastructure can be built agentically. you just need to have the vision, know what to ask for, and use your taste and experience to nudge as these systems get built for you if you don't know where to start: pick one of these ideas, login to Claude Code or Codex or Agent A, paste the bullet and ask it to build it (and some of these are already available as free apps in Agent A!)
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A 15-year Susquehanna trader says there's a window open right now in prediction markets that doesn't exist anywhere else in finance: Andrew Courtney (@andrewcourt1). 15 years as a quant trader and market maker at Susquehanna International Group. "In liquid stocks, you are never going to vibe-code your way to a market-making system. Never." "But a competent programmer with some trading knowledge could probably make money building something on Kalshi." "I know teams of one or two people with a bunch of laptops doing exactly that." "They're making amounts that are a lot for them — and tiny for an institution." "These opportunities don't come up often. It's a short window before the institutions crowd it out." "It's like people trading options in their dorm room 30 years ago. A rare time when smart amateurs can actually have an edge." "You won't get it market-making Apple. But it's here right now."
Inside the mind of an ex-SIG quant trader who can't turn off the EV brain - even for his kid's school choice Andrew Courtney (@andrewcourt1) ran the International ETFs Trading Desk at Susquehanna International Group for ~15 years before leaving in 2023. He now runs Kalshionomics (@Kalshinomics), a prediction markets analytics tool, and writes the Whirligig Bear, one of the sharpest prediction markets Substacks out there. "I think of everything as a bet. I kind of don't understand how you talk to normal people — they do not do that." SIG trains their junior traders with poker, spending 2hrs/day turning over cards after every hand, justifying every decision quantitatively AND qualitatively. 15 years later, Andrew views prediction markets the same way: read who's on the other side, size accordingly, fold when the whale comes back at you 10x. We cover: - Why SIG pays junior traders to play poker for 2hrs/day — & what happens after every single hand - The "one eye on the market, always" attention tax that destroys most people's careers - How to find edge in prediction markets by asking: who am I actually trading against? - Why meme-heavy, overhyped markets (Taylor Swift at the Super Bowl) might be the juiciest trades - The insider trading debate in prediction markets — & why it's "socially corrosive" - Floor trading vs. upstairs quant: why the transition saved his career - 40 connections after ~15 years at one of the world's best firms — the hidden cost of prop trading - Why he doesn't have collision insurance on his car (& the EV math behind it) Thank you so much @andrewcourt1 for coming on the pod! Timestamps: 00:00 Intro 05:00 Floor trading vs. electronic trading 06:28 What makes an upstairs trader 10:16 Poker as trader training 13:00 Thinking in bets as a mental framework 15:11 Decision trees in real life 16:40 Where prediction markets actually have edge 19:00 Why the LLM forecasting layer falls short 19:40 Liquidity incentives and trading low-volume markets 22:00 Limiting downside even when the model is wrong 24:32 Executing in illiquid markets 25:44 Fair value vs. directional conviction 27:11 Bayesian updating when liquidity responds 28:40 Fading hype and crowded narratives 31:07 Longshot bias vs. fanbase bias 34:20 How to judge whether you really have edge 36:40 Building analytics tools for prediction markets 38:20 The temporary edge for smart amateurs 40:35 Where prediction markets fit best 41:20 Markets that shouldn’t exist 43:20 Why insider trading corrodes incentives 46:52 Are prediction markets a net good or bad 50:47 Minimizing degeneracy and maximizing signal 53:32 A simple EV mindset anyone can use
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content that gets cited in ai overviews follows 3 simple rules: 1. direct answer in the first 150 words 2. every section tied to a real search question 3. every section complete on its own here is the content brief framework for you to rank on search and get cited by AI:
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We did $100m in sales off of this one single idea. Wanna make it in consumer? 1. Find a predatory practice they were gaslit into accepting as "normal" 2. Wake them up to the truth by telling a good story. 3. Convince them you can solve the problem for them (even temporarily) 4. Actually solve it 5. Get lots and lots of MIDs
The credit card company's entire model is a bet that you won't be able to pay it off and will get stuck paying interest. That's it. There is no other way for them to make money other than this: bet on your inability to pay it off. Hence, the model's presupposition is that if you need credit in the first place, you most likely don't have money, so you can't just pay it all off at once, so you get stuck in the interest cycle. This is why I have zero debt. And yeah, I know what some of you will say..."but there's good debt", no, there's no good slavery.
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Introducing /react-doctor Your React app probably has bad code. This fixes it Install as agent skill. Fully open source. npx react-doctor@latest
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I LOVE this simple $30k/year side project: - Problem: magicians can't get work - Solution: Simple online directory (built with Claude Code) - Pricing: $299/year to get listed - Validation: Sold 50 spots @ $99 (at launch the site) - Smart domain name: ranks #1 SEO (see image) - 103 magicians on the platform x $299/year = ~$30k/year REVENUE - Costs: Just $30/month to run - Started last year: $0 to $30K in 9 months - Recurring revenue !! Could be replicated for: - clowns - comedians - caricature artists - fire performers - dancers - speakers - mixologists - singers - event planners - fortune tellers - etc Just IMO needs to be super niche/specialized talent to work. bookamagician.com
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Next Day : The confidence was so crazy - owner agreed. Then bankrupt billionaire called the top 5 managers of Hotel. Offer: ‘‘Each of you gets 8% equity’’ • But invest $100K each today.
• Money returned after 1 year.” Managers trusted him. Boom → $500K raised. Owner paid. Now he hosted an invite-only event for rich people. On stage he said: “Invest $25K today. Get restaurant credits, premium perks, and your money back later. Wait longer → bigger returns. By night end:
200 people signed. $4.5M collected. He bought the hotel. Then repeated the model. Weeks later: $100M raised. 
Multiple hotels acquired. Lesson: People don’t always invest in money. They invest in confidence, access, and momentum.
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Open source version of this: dump into claude code and steal the system. github.com/LeadGrowGTM/linke…
GTM engineering last week deployed an agent for a software company that checks 20 linkedin influencers profiles daily for new posts (people engaging with this content their target customers) it then extracts all net new engagers from the posts does leadscoring, if passes adds it to heyreach via pai cold dms the person agent manages the inbox via api meetings get booked if you want this lmk below
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GTM engineering last week deployed an agent for a software company that checks 20 linkedin influencers profiles daily for new posts (people engaging with this content their target customers) it then extracts all net new engagers from the posts does leadscoring, if passes adds it to heyreach via pai cold dms the person agent manages the inbox via api meetings get booked if you want this lmk below
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May 16
$10M hack no one will tell you about Go get a domain name with the word “review” attached with your brand name Like - yourbrandreview.com List out all reviews here Everytime someone wants review, ChatGPT or Google will gather reviews from this website now. Easy Money

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May 15
If you don't like Webflow's price bump do this: • Install Claude Code • Make a super-fast website in Astro • Push it to GitHub • Host it for free on Cloudflare Pages
May 13
We're simplifying our plans, and updating pricing to match what modern marketing teams need. The web is changing faster than ever, and AI is making it easier to build, manage, and grow content-rich sites. We've heard from customers that they need better ways to scale, so today we're announcing updates that do three things: - Simpler plans and updated pricing. We’re introducing a new Premium Site plan by combining the CMS and Business plans. As part of this, pricing and limits are updating across all paid Site plans. - A plan for fast-growing teams. Introducing the Team plan, an all-in-one offering for teams that have outgrown self-serve but aren't ready for Enterprise. It unlocks capabilities previously unavailable on self-serve, like AEO agents, page branching, single-page publishing, publishing workflows, and so much more. - AI as the foundation. We’re introducing AI credits and including them in every Workspace plan, so all customers have built-in access to the latest AI features they need. To learn more about these updates, visit our blog: wfl.io/48Stauj
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Replying to @fin465
Funny They stole my post and remade it for accountants
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someone is gonna cold email 1,000 accounting firms in the US and make $1-3 million personally in 2026
Community note
The depicted Reddit post does not exist; Reddit searches return no results for the claimed title or subreddit r/n8n_automator. A nearly identical prior post about a law firm deal faced widespread skepticism over its authenticity. reddit.com/search/?q="J… reddit.com/r/n8n/comments…
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If I only had $50 and a fresh Hermes install, here’s exactly how I would make $5,000 this week… Step 1: Drop $8-24 on a DigitalOcean droplet. Use the DigitalOcean CLI so Claude can do all your installs for you. Step 2: Claude installs Hermes for you. Hermes installs Paperclip for you. Step 3: Connect Hermes to your telegram. Prompt Hermes to build the following organization on Paperclip… PROMPT: Title: Full Stack Agency Mission: Help our clients grow their traffic, leads, and sales. Roles: SEO Specialist, Media Buyer, Social Media Manager, Email List Manager. Description: These agents auto-connect to the client’s Google Ads, Microsoft Clarity, Google Analytics, Ahrefs, Search Console, Postiz, and Kit/Beehiiv through MCP, CLI, and APIs. They create the content ad creative, run campaigns, track every metric, and relentlessly optimize to hit the client’s exact CPA/CAC goals. —— Once Hermes finishes building out the Paperclip org and you test it (can do it in 1 night), package the whole thing as a done-for-you “AI Marketing Agency Install.” Step 4: Tell Claude (or Hermes) about the Paperclip agency and ask it to find or create skills for each of the roles so they know how to do their roles. I sell this to direct response marketing companies for a one-time $5,000 setup fee. Client gets an entire agency that lives in the cloud and works while they sleep. No monthly retainers. No hiring. No overhead. It’s wayyy cheaper than the agencies they’ve been hiring because no monthly fees. DON’T be a simp and drop the price just because it’s AI. The clients are already saving thousands. To sell it just demo it with a 90-second video of the org running live. Once they see it, they’ll want to buy it. Heck, build one of these for yourself to sell THIS service. Build it once. Sell it over and over. Less than $50 in and you get $5,000 out per client. Stupidly easy setup. Even easier to sell because the value is obvious the second they see it running. It’s kind of an unfair advantage that’s wide open right now. Who’s actually going to try this? Most people on X won’t ever do this because they are all talk. Drop a 🔥 if you’re in tho. P.S. If you rather skip all that and just pay me to set one up for you, DM me.
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this is huge news from Cursor, they've pulled of the impossible and turned their ai-wrapper into a in-destructible moat sam altman literally called it <24hrs ago and here we are: > cursor's ai agent harness is available for anyone to build on, which means ai models are now a commodity > 1-time install and now anyone can run cursor's agent locally or via cloud. use any model (e.g. gpt 5.5) but with the added cursor harness that makes it 10X better. > its so good that 3 of cursors biggest competitors are embedding it into their products. > now cursor DOESN'T DEPEND on anthropic or openai. their own model (composer 2) competes directly! yesterday sam altman said the ai model and harness are one and the same and today cursor turned their harness into a self-owned moat fucking masterclass (coming from a former cursor / ai wrapper hater)
We’re introducing the Cursor SDK so you can build agents with the same runtime, harness, and models that power Cursor. Run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside your products.
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Best cold email campaign I ever ran: 1/ Scrape people who liked/commented on LinkedIn lead magnets in your niche 2/ Email them: “Hey, saw you asked for that guide, did you get it?” Most say no (creators don’t send it, it’s bait) 3/ Reply: “I made my own version, here it is if you want it” That’s it. They read → they trust → they book. you can follow up easily We were hitting 10–15% reply rates on cold email (insane) Important: don’t pretend it’s your post don’t lie just offer a better blueprint on the same topic Steal demand > create demand.
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Apr 22
Why is no one talking about this? @nvidia is offering around 80 AI models via hosted APIs absolutely for free. You get access to MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, Sarvam-M etc. This plugs straight into OpenClaude, OpenCode, Zed IDE, Hermes agent and even with Cursor IDE. Setup: – Grab API key: build.nvidia.com/models – base_url = "integrate.api.nvidia.com/v1" – api_key = "$NVIDIA_API_KEY" – select model (e.g. minimaxai/minimax-m2.7) If you’re building or experimenting, this is basically free inference. Lock in and start building today anon. Thank me later.
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Forgot who said this, but it's GOLD: "If you're talking yourself out of it, you should do it. If you're talking yourself into it, you shouldn't do it." Cold calling = Something you'd try talking yourself out of BS dinner meeting = Something you'd try talking yourself into
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$CAR traders about to get slaughtered. Currently $710. April VPOC is back at $251 and the volume profile is a bearish "b" i.e. pump and dump structure.
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To check if your Google Workspace has been compromised by the same tool that compromised Vercel: 1. Go to admin.google.com/ac/owl/list… - This is Google Admin Console > Security > Access and Data Control > API Controls > Manage app access > Accessed Apps 2. Filter by ID = 110671459871-30f1spbu0hptbs6… - This is the ID of the compromised OAuth app If you see an app after filtering, you have potentially been compromised
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