gd

@FPLMate And he’s hooked

Palmer to Saka then 🔒

@FPLMeerkat But you didn’t tell us to disregard Okafor news

Cooked with this one 🔥 DCL ⚽️ Okafor ⚽️ Bogle 🅰️

@PFTCommenter Go around telling everyone you’re not totally sold on goose yet

Never been to a phish show. Pls send recomendations for a first timer (not a drug guy)

@BrianLaManna_ Always lower case like a hurried exec?

Subject lines in emails are like the gatekeeper on a cold call. Pretend every single email you are sending goes to a gatekeeper and they have to decide from the subject line alone - should we delete this? Or pass this along to the intended person? No open = no response. All work wasted. Your goal should be to use some sort of company-specific verbiage in the subject (𝗦𝘁𝗿𝗼𝗻𝗴) 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 * launching in Ireland * your time at microsoft * engage 2.0 * venminder acquisition * enplug for zoom * meddpicc rollout (Engage is a product name) (Venminder is a company they acquired) (MEDDPICC is a sales methodology they’re rolling out) (𝗕𝗮𝗱) 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 * How Gong helps sales teams in 2025 * Brian, looking to grow revenue next year? * SaaS Sales @ a hyper growth startup - Series A funded! * Quick Question, Brian * #1 lead generation platform on G2 * All in one platform for revenue organizations Bonus points for unique company verbiage. Never longer than 4 words. Let’s get it.

@aakashgupta But does it work

Microsoft just turned an $11 billion startup into a Word feature. Harvey raised $200M at an $11B valuation in March on the bet that legal AI is its own surface. The numbers held that up. $190M ARR per TechCrunch's December reporting. 100,000 lawyers across 1,300 organizations including the majority of the AmLaw 100. Around $1,200 per lawyer per month per Sacra. Big firms paid because Harvey was the only tool in the category that worked. Brad just stapled a legal agent directly inside Microsoft Word, shipping in the $30 per seat Copilot subscription every law firm already pays for. Same surface every lawyer drafts in. Same .docx that gets sent and redlined. No second login, no procurement cycle, no migration. The price gap is roughly 40x. The interesting tell: Microsoft built the agent with legal engineers, many of them from Robin AI, a legal AI startup that recently went under, per Artificial Lawyer's reporting. The talent that knew how to make legal AI work for lawyers landed at Microsoft after their startup couldn't survive standalone. That's the legal AI category in one sentence. Distribution was always the constraint here. Lawyers don't switch tools. Word is where contracts get drafted, redlined, and tracked. Whichever AI lives inside that .docx wins the default workflow, and Microsoft just walked through the door uncontested. Harvey's surviving moat is the AmLaw 100 partner workflow. Domain training, agentic litigation prep, deep integrations with iManage and NetDocuments. Real moat for $1,500-an-hour partners running M&A and complex litigation. It does not extend to the millions of lawyers globally drafting NDAs, redlining vendor contracts, and updating templates. That layer is exactly what Word Legal Agent goes after, and Microsoft can ship it as a feature inside a $360-a-year subscription. The $11B valuation pays out only if legal AI work stays its own surface. Microsoft just absorbed the surface.

@FPLMeerkat Okafor risky no?

GOALS CONCEDED THREAD GAMEWEEK 35 Welcome back! 😁 Giving you positional data to highlight potential trends and goalscorers 🔎 Starting with: 🦚 LEEDS vs BURNLEY 🍷 Looks a great time for CALVERT-LEWIN, OKAFOR and BOGLE owners, but will Burnley have a new manager bounce?

@golfballingpod Nah fam this teletubby CC

Volcano bunkers at Hole No. 2 on the Pete Dye Course in French Lick, Indiana.

@techsaleshackz Would legoras recent surge and down market success give you pause on a MM spot at Harvey

@reginaldfreon profound, sierra, decagon, elevenlabs, avoca

15 of the fastest-growing Series B–D startups hiring right now (SF/NYC) Some of the best companies to join right now 👇 Series B: Listen Labs — raised 69M at 500M Lovable — raised 330M at 6.6B Avoca — raised 125M at 1B Juicebox — raised 80M at 850M Depthfirst — raised 80M at 580M Series C: Profound — raised 96M at 1B Factory — raised 150M at 1.5B Sierra — raised 350M at 10B Rogo — raised 75M at 750M Granola — raised 125M at 1.5B Series D+: ElevenLabs — raised 500M at 11B Harvey — raised 200M at 11B Legora — raised 550M at 5.5B Slash — raised 100M at 1.2B Decagon — raised 250M at 4.5B I work with a handful of these companies recruiting across GTM & Ops, been fun watching them scale DM me if you want intros

@jacksdiningroom Santa Fe BK is crack

Is it just me, or are there not any good breakfast burritos in NYC? I don’t understand they can’t be that hard to make. Low key though, Golden Diner might have the best breakfast burrito no one knows about, gets very over looked by the pancakes. Who’s got recs tho? #nyc #food

@BrianLaManna_ Where to next?

Career Path by Year so Far: Starting at BrightEdge: 2018 - SDR 2019 - Mid-Market AE 2020 - Enterprise AE Move to Gong: 2021 - SMB AE 2022 - Sr. SMB AE 2023 - Mid-Market AE 2024 - Sr. Mid-Market AE 2025 - Enterprise AE 2026 - Sr. Enterprise aE 2 critical things I've looked for in each company/role: 1. What you sell 2. Who you sell to The promotion, career path, the $, will follow if each work day, doesn't feel like work. And have the utmost conviction in the product you sell.

@FPLGOAT7 Pick one or Armstrong?

@reginaldfreon None

A few tips for GW34, Free hit special ✅ 1. Bowen, Thiago, Watkins, Beto, Solanke all are great striker options 2. Bruno, Salah, Ndiaye, Gibbs-white, Wilson, Gakpo, Szobo, Cunha, Rogers, Xavi are the mids to consider 3. Alderete, VVD, Tarkowski, Mavropanos, Porro, Danso, Arsenal defence are the ones to consider 4. Don't try and hedge by picking a defender and an attacker from teams facing each other, pick your narrative and double down 5. Bruno, Watkins, Liverpool mids, are the best captaincy options 6. Don't let anyone discourage you while picking Spurs players, no player is a bad pick if it's for just 1GW

@FPLMate With fresh updates, would you rather Barry kolo muani or wood

Who are the FPL Experts picking on their GW34 Free Hit teams? 🤔 These are all the players seen in 63 Expert Free Hit starting XI’s, ordered by popularity:

@FPL_Harry Would you rather start wood or kolo muani

Hmmmmm…

Standouts from the data showcased: ⭐️ SARR vs LIV (A) ⭐️ SOLANKE vs WOL (A) ⭐️ MBEUMO vs BRE (H) ⭐️ GABRIEL vs NEW (H) ⭐️ H.WILSON vs AVL (H)

@FPLMeerkat Would you rather start wood or kolo muani

🐈‍⬛ SUNDERLAND vs FOREST 🌳 Sunderland shipped another 3 goals to Strikers last week, and I predict it’ll be WOOD up top for Forest, a really out there punt Forest concede more frequently to the Right Wingers, perhaps RIGG can add to his tally

GOALS CONCEDED THREAD GAMEWEEK 34 Just the 14 teams this week! Giving you positional data to highlight potential trends and goalscorers 🔎 Starting with: 🔴 LIVERPOOL vs PALACE 🦅 GAKPO would be my Liverpool attacker of choice SARR looks great on paper, but will Palace continue to rest their stars?

@FPLMeerkat First year ever doing it been floating between 5k and 10k since Nov

Double Gameweek 33 comes to an end 102 points on the Free Hit, just about a green arrow 🌍 383k ➡️ 366k 🟢 With the Wildcard then Bench Boost still in hand, the 100k dream is not quite dead yet, but it’ll be tough to get there

@aakashgupta What do you mean by mid tier SaaS

Every SaaS company's AI roadmap just got shorter by 18 months. Notion shipped Custom Agents earlier this year with the same blueprint: shared teammates with permissions, connectors, scheduled triggers, and tasks running across tools. OpenAI just put the same pattern in front of 900M weekly ChatGPT users and 7M paid workplace seats. "Runs across tools and teams" is the whole pitch. A shared agent that pulls from Salesforce, updates Jira, posts in Slack, and drafts the PRD in Notion doesn't need the per-app AI feature inside any of those tools. Notion AI. Atlassian Rovo. Asana AI Studio. Slack AI. Each pitched as a moat. Each priced at $10 to $30 per user per month. Each now competing with a horizontal agent from the vendor that owns the underlying model. The math for mid-tier SaaS is brutal. Their AI SKU was the story defending churn and justifying list price increases. Once the agent layer works across tools, enterprise buyers stop paying $30 a seat for AI in five different products when one ChatGPT seat runs the same workflow. The real winner is whoever owns the data access layer. Salesforce, ServiceNow, and Workday sit on the schemas every agent has to read from. They just became the toll road. Microsoft is in the strangest position of all. They sell M365 Copilot at $30 a seat. They own a chunk of OpenAI profits. Their biggest investment just shipped the cleanest cannibalization of their own Copilot business.

@BowTiedCocoon Where would you put Zip on the four signals plot

To apply this to your own situation, run through the following in order. 1) Pull a list of 10-15 companies in the sectors where the signals currently align. Don't start with the job posting. Start with the company. 2) Run the four-signal check on each one. Funding velocity (Crunchbase, PitchBook, press releases). Headcount trajectory (LinkedIn company page, filter for sales roles). Buyer urgency (is the product mandatory or discretionary right now? Is there regulatory, migration, or consolidation pressure behind it?). Comp structure (ask top rep W2 and attainment distribution in final rounds - if they dodge, that's your answer). 3) Rank your list. Four green beats three green beats two. Your effort goes toward the top of the list. 4) Then and only then do you optimize the resume, the TMAY, the deal anecdotes, and the close (everything you need on ^ is covered here btw: youtube.com/watch?v=y7mdFa…) Most reps reverse this. They start with prep and never ask whether the company was worth prepping for. They spend weeks getting interview-ready for a role at a company with two green signals and a fictional OTE. High earning capacity in sales is real. It compounds. A $300k year at 29 compounds differently than a $300k year at 39, and the difference between those two outcomes usually comes down to a single targeting decision made early in the career. Pick the environment first. Build the skills to match. Run the math on every offer. The reps who get this right don't just earn more. They earn in a completely different category. Now you have it all. Good luck anon -Cocoon

// My exact system for spotting which companies will make sales reps rich 12 to 18 months before everyone else figures it out - and why the single biggest variable in a sales career has nothing to do with your skills // In 2019, I was watching two reps I knew personally run the same playbook. Same product knowledge. Same call volume. Same close rates. One was clearing $140k. The other was clearing $380k. Same skill level. Different companies. I spent the next two years reverse-engineering why that gap existed and how to predict - before accepting an offer - which side of it you'd end up on. What I found changed how I coached everyone who came after.