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@alifcoder Ebook

Finance analysts earn $95k–$250k/year. The ones using Claude AI close work 3x faster. 📘 Claude AI for Finance Professionals — 120+ institutional-grade prompts for equity research, DCF, fixed income, portfolio strategy, earnings analysis, and IB workflows. Excel models included. Normally $189 → 100% FREE for 48 hrs Like + RT + comment 'Ebook' Must Follow me so I can DM you.

@Jacobsklug Build

I've made $4.7M with AI. I'm giving away the exact prompts I used to build a full AI agency from scratch in under 2 hours. These prompts will guide you through: • Finding a winning niche • Building an offer people pay for • Go to market strategy • Creating your website • Productizing with AI (ie @Lovable) This took me 5 years and hundreds of thousands of dollars to figure out. Comment "Build" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.

@RMHildebrandt CRM - sounds awesome!!

Companies pay me to build multi-million dollar automated systems. But this CRM is yours for $0: I've been engineering for 22 years. Built systems for Nestle. Mars. Coal mines. Pharma. Across 4 countries. I've built more scaled and robust systems than most people on this app combined. And when I started helping digital businesses grow... I realized one thing: Most CRMs are overcomplicated TRASH. So I built a no-code, open-source CRM that does exactly what you need. Here's what you get for free: • Auto-deal creation from your calendar (Calendly, HubSpot, GHL compatible) • Deal source tracking with visual breakdowns • Average calls to close and days to close metrics • Follow-up automations (call, SMS, reminders) • Domain blacklist to filter out existing clients • MRR/LTV tracking with fully customizable graphs • Complete code + installation walkthrough 1,000s have already downloaded and are LOVING it. Want access? • Comment "CRM" • Connect with me (so I can DM you the link) And I'll DM it to you! PS - It's 100% open-source. You can rip it apart and rebuild it however you want. That's the whole point.

@BojanRadojici10 Please send! Looks awesome

Debt modeling shouldn't be a manual grind. It should be a strategic tool. To help you move faster, I’m giving away 𝟲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗗𝗲𝗯𝘁 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗧𝗲𝗺𝗽𝗹𝗮𝘁𝗲𝘀 for juniors that I use to stay precise: 1. 𝗖𝗮𝘀𝗵 𝗦𝘄𝗲𝗲𝗽: Automate excess cash application. 2. 𝗥𝗲𝘃𝗼𝗹𝘃𝗲𝗿: Dynamic liquidity modeling without the circularity headaches. 3. 𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗲𝗯𝘁: Clean, scalable amortisation structures. 4. 𝗠𝗲𝘇𝘇𝗮𝗻𝗶𝗻𝗲: PIK and warrant logic. 5. 𝗧𝗲𝗿𝗺 𝗕: Institutional-grade bullet and repayment scheduling. 6. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗦𝘂𝗺𝗺𝗮𝗿𝘆: The "CFO View" that aggregates it all. When practice this, I owe you the truth. Templates are great, and you need to know how to build models like thiese, but they won't stop you from becoming a "Traditional Finance" dinosaur as AI starts taking over modeling entirely. If you’re tired of the manual grunt work and worried about falling behind the AI curve, maybe it’s time to stop just "downloading" and start "transforming." If you want these templates in Excel, just drop a comment and I’ll send it to you. (Important: follow me so I can DM you!)

@lukepierceops Agency

I went from $500 Upwork projects to $500K+/year selling AI systems. I legitimately made every mistake you can make. Undercharging, scope creep, building without mapping, hiring wrong, pricing hourly. Then I figured out what actually works and doubled down. I put the entire playbook into a free guide. Here's what's inside: → How I went from Zapier gigs to $25K-$60K projects → The pricing shift that 5x'd my revenue (and the exact formulas) → My 4-call sales process for closing $25K-$60K+ deals → The discovery framework that turns calls into signed contracts → How I built a dev team without burning cash → The fulfillment system that keeps clients for years → How I position against agencies 10x my size and WIN → The content engine that fills my pipeline without ads or cold outreach → Every mistake I made and what I'd do differently starting from zero This took 4 years, 80+ clients, and a lot of painful lessons. Yours for free. RT + reply "AGENCY" and I'll send it over. (Must follow so I can DM

@BojanRadojici10 Would love a copy! Think content around checking for discrepancies within the financial data could be super helpful.

Most finance teams are only using 10% of Claude’s actual potential, that’s why I created this guide for you. What’s inside? We dive deep into the four essential Claude entry points: • Claude Web - For high-level strategic analysis and document synthesis • Claude in Excel - To automate formulas and data cleaning where you live. • Claude Cowork - For seamless team collaboration on financial projects. • Claude Code - For advanced automation and technical finance workflows. Who is this for? • FP&A Analysts: Streamline your reporting and variance analysis. • Finance Managers: Speed up consolidation and team reviews. • CFOs / VPs of Finance: Enhance strategic decision-making with rapid scenario modeling. The Essentials: → 25 Detailed, Easy-to-Use Prompts: Copy-paste solutions for real-world finance tasks. → AI Safety for Finance Professionals: A dedicated section on maintaining data privacy and security. → From Analyst to CFO: Tailored workflows for every level of the finance hierarchy. Here is what you can expect inside: • Chapter 1: How to Use This Book • Chapter 2: Getting Started — What You Need • Chapter 3: AI Safety for Finance • Chapter 4: Claude Web: Analysis & Narratives • Chapter 5: Variance Analysis • Chapter 6: Claude in Excel: Model Workflows • Chapter 7: Reporting & Board Packs • Chapter 8: Claude Cowork: Multi-File Automation • Chapter 9: Building a CFO Agent with Claude Code • Chapter 10: Implementing AI in Your FP&A Team • Chapter 11: What Comes Next The future of finance is "AI-augmented." Don't get left behind. If you want this E-book, just drop a comment and I’ll send it to you. (Important: follow me so I can DM you!)

Day 7 of the LLM picks experiment 🤖📈 Same prompt to each model: Best Overall | Best Value | Best Longshot @ChatGPTapp : KC -3.5 @ TEN (-108 FD) | JAX/DEN U45.5 (-110 FD) | MIA ML vs NYK (+250 FD) @grok : KC -3 vs TEN (-110 CZR) | NYK -7.5 vs MIA (-110 FD) | TOR ML vs DAL (+200 DK) @GeminiApp : BUF -6.5 @ CLE (-110 FD) | LAC -2.5 @ DAL (-115 DK) | CAR ML vs TB (+145 CZR) @AnthropicAI : DET -6.5 vs PIT (-110 FD) | KC -3.5 @ HOU (-110 DK) | VGK ML @ EDM (+122 FD) Who ya tailing? 👀

Day 6 of the LLM picks experiment 🤖📈 Same prompt to each model: Best Overall | Best Value | Best Longshot ChatGPT: MIN Wild ML vs EDM (-120 FD) | PIT Penguins ML vs MTL (+122 FD) | Wild -1.5 vs EDM (+205 FD) Grok: ORL Magic -7.5 vs UTA (-110 DK) | STL Blues ML vs FLA (+163 FD) | CHA Hornets ML vs DET (+400 CZR) Gemini: TAMU -3.5 vs MIA (-110 FD) | GB -2.5 @ CHI (-115 DK) | Tulane ML @ Ole Miss (+600 CZR) Claude: DEN -1.5 vs HOU (-110 DK) | PHI -7 @ WAS (-110 DK) | FLA Panthers ML @ STL (+165 FD) Let’s see who prints tonight 🧠💸

Back again 🤝 ChatGPT: CAR ML vs FLA (-128 FD) | WPG ML vs COL (+198 FD) | MIN ML vs OKC (+285 FD) Grok: BAMA -1.5 vs OU (-110 DK) | BOS -6 vs MIA (-110 FD) | WPG ML vs COL (+198 FD) Gemini: BAMA -1.5 @ OU (-112 FD) | NC State -3.5 vs MEM (-110 DK) | SGP: DAL ML & U5.5 (+310 FD) Claude: CLE -7.5 vs CHI (-110 DK) | SAS -2.5 vs ATL (-110 FD) | WPG ML @ COL (+205 FD) Let’s see which bot cooks tonight 🧠📈 Cc: @ChatGPTapp – @grok – @AnthropicAI – @GeminiApp

Here’s the overall results so far… @grok with a healthy lead as the best LLM sports better!!

12/18 LLM picks (Best Overall / Best Value / Best Longshot) 👇 ChatGPT: • Best Overall — NBA: Knicks -4.5 vs Pacers (-110 on Caesars) • Best Value — NHL: Oilers–Bruins Over 6.5 (-110 on FanDuel) • Best Longshot — NBA: Nets ML vs Heat (+205 on Caesars) Grok: • Best Overall — NBA: Nuggets -7.5 vs Magic (-110 on FanDuel) • Best Value — NHL: Oilers ML vs Bruins (-144 on FanDuel) • Best Longshot — NBA: Jazz ML vs Lakers (+220 on DraftKings) Gemini: • Best Overall — NFL: Rams -1.5 @ Seahawks (-110 on DraftKings) • Best Value — NHL: Bruins ML vs Oilers (+120 on Fanatics/Caesars) • Best Longshot — NHL SGP: Bruins ML & Over 6.5 (+310 on FanDuel) Claude: • Best Overall — NBA: Nuggets -8.5 vs Magic (-110 on DraftKings) • Best Value — NFL: Rams +2.5 @ Seahawks (-110 on FanDuel) • Best Longshot — NHL: Sharks ML vs Stars (+177 on FanDuel) (@ChatGPTapp–@grok–@AnthropicAI–@GeminiApp)

Little late.... but here is today's picks! (@ChatGPTapp – @grok – @AnthropicAI – @GeminiApp ) odds are from this morning I ask each model for: Best Overall | Best Value | Best Longshot 👇 ChatGPT: CLE -5.5 (-105 DK) | CAR -1.5 (+140 DK) | MEM ML +235 (DK) Grok: CLE -5.5 (-110 FD) | CAR ML (-140 FD) | MEM ML +245 (FD) Gemini: CLE -5.5 (-110 DK) | MEM +7.5 (-110 FD) | MEM ML +260 (CZR) Claude: MIN -7.5 (-110 DK) | FLA -1.5 (+180 FD) | NJD ML +152 (FD) Let’s see who cooks 🍳📈

Starting a fun little new experiment where I’m having four LLMs (@ChatGPTapp - @grok - @AnthropicAI - @GeminiApp) give their best sports picks of the day… here is the today’s picks by the different models! I asked the models to give the best overall pick, the best value pick, and the best long shot. ChatGPT: NYK ML -135 DK | SJS ML +110 DK | SEA ML +225 DK Grok: NYK -2.5 -110 FD | SC +12.5 -110 CZR | JSU ML +120 DK Claude: SAS +2.5 -115 DK | TOR -1.5 +114 FD | COL ML +230 FD Gemini: Troy -2.5 -110 DK | SAS ML +120 FD | SGP SAS ML+O230.5 +320 DK Happy to share the prompts or the exact responses from the model if anyone wants!

This is what you told me in our chat this morning :( Best Overall NBA: New York Knicks -2.5 vs. San Antonio Spurs (-110 on FanDuel) Rationale: The Knicks are 17-8 ATS this season and 17-5 straight up as betting favorites, with strong defensive efficiency rankings that match up well against the Spurs’ youthful offense. San Antonio is 9-4 ATS in their last 13 but has struggled against top Eastern Conference teams, and head-to-head trends favor New York in neutral-site simulations per Odds Shark. Implied probability of 52.38% for the cover undervalues the Knicks’ 65% win chance in models from Covers and Action Network, especially with no major injuries reported via Team Rankings. Best Value NCAAB: South Carolina Gamecocks +12.5 at Clemson Tigers (-110 on Caesars) Rationale: South Carolina is 4-1 ATS in its last five games against Clemson, exploiting the Tigers’ inconsistent home defense despite Clemson’s stronger overall record. The Gamecocks’ pace and shooting efficiency provide value as a double-digit underdog, with recent trends showing them covering in 60% of road games per Oddsshark. Odds imply a blowout, but expert models from Pickswise and Action Network estimate a closer contest (projected 78-70), offering edge at +12.5. Best Longshot NCAAF: Jacksonville State Gamecocks ML vs. Troy Trojans (+120 on DraftKings) Rationale: Jacksonville State is 6-3 ATS in its last nine as an underdog of at least 2.5 points, with a balanced offense that ranks high in rushing efficiency and could exploit Troy’s defensive vulnerabilities in bowl games. Head-to-head history is limited, but JSU’s home-like advantage in Montgomery (closer proximity) and 7-1 ATS run in December provide logical upside per Covers and CBS Sports. At +120, the 45% implied probability underestimates a 35% modeled win chance from FOX Sports and VSiN previews.

Fun experiment! Here's my actual picks for Dec 16, 2025, based on latest data: - NBA: Spurs +2.5 vs Knicks (-110) - CBB: Louisville +1.5 vs Tennessee (-110) - CFB: Jacksonville State +2.5 vs Troy (-110) - NHL: Avalanche ML vs Kraken (+120) Excited to see how they perform! Share yours?

@litcapital What about @BlueFlameAI !!

I know this is mostly geared towards tech / software businesses but these types of products could be a game changer for PE firms to actually create value instead of simply stripping businesses down to bare bones / degrading product quality to incrementally boost EBITDA margins

What are people buying today?? Really want to try to get into some robotic companies (aside from $TSLA) does anyone have great investment ideas for companies operating in the general robotics or humanoid robotics space??

Can find the article here - Amazing write up by @profplum99 yesigiveafig.com/p/part-1-my-li…

Ever feel like you’re working harder but getting poorer? This bombshell article exposes how America’s poverty line—stuck in 1963 math—quietly broke the middle class. Real survival for a family of 4? $140K+, not $31K. (Know I am a little late to the game here..so attaching my favorite snips)