Bryan Pena

1.3K posts

Bryan Pena banner
Bryan Pena

Bryan Pena

@btpena

Enemy of the status quo and fascinated by the possibility of a new way of working. All things are possible.

Katılım Mart 2009
1.3K Takip Edilen926 Takipçiler
Shen Lao
Shen Lao@thetechlao·
i want to be honest with you. i have 200 followers. i'm not a guru. i'm not financially free. i'm a 32-year-old with two full-time marketing jobs who started taking trading seriously one month ago. but here's what happened in that month. i made a decision: no more setup hopping. no more watching 10 different tickers. no more indicators i don't fully understand. just $SPY. just 0DTE options. just one 90-minute window every morning. and just psychological levels — the whole dollar strikes where price tends to react because that's where everyone's orders cluster. no EMA. no VWAP. no RSI. nothing. just price. i ran that for a full month. ~100 trades. 17 wins. 3 losses. +$4,064 on a $3,000 account. my worst day was -$1,860 and i genuinely thought about quitting. i didn't. i came back the next day, stuck to the rules, and finished the month green. i wrote every single thing i learned into a playbook — the levels i watch, how i size trades, when i add, when i walk away, the psychology stuff that almost killed my account, and two full trade examples with charts. i'm giving it away free because i'm 200 followers deep and i just want to share what's working while it's fresh. if you're still jumping between setups, this isn't for you yet. if you've found something that works but can't stay consistent — i think this helps. comment "0dte" and i'll DM it to you. this is my most revamped version*
Shen Lao tweet mediaShen Lao tweet mediaShen Lao tweet mediaShen Lao tweet media
English
322
20
325
37.4K
Alfie Carter
Alfie Carter@AlfieJCarter·
I put my entire GTM engineering system into ONE Notion doc. 5 sections. No fluff. - The three-tool stack and exactly what each one does: thinking partner, execution assistant, and internal triage layer - The 10-step daily routine across morning setup, in-day note processing, and end-of-day reflection - A ready-to-copy Claude system prompt that accumulates context across sessions so you never start from scratch - The four delegation tasks worth doing first: pipeline pulls, QBR slides, call briefs, and quota planning - What Claude can actually do today and where it still needs a human in the loop This is the setup I would have KILLED for before spending weeks figuring out which AI tool does what and why using the wrong one for the wrong task costs you the leverage entirely. Like + comment "CLAUDE" and I'll send it over (must be connected for priority access)
Alfie Carter tweet media
English
98
3
108
6.9K
Lara Acosta
Lara Acosta@Laraacostar·
"Linkedin is dead, no one uses it" but we've built 3x million dollar businesses using it. closing $5k-$20k deals from organic content. the team and i put together the ultimate playbook showing you how you can do this (for free) - post templates and breakdwons - micro playbooks on how to make $$$ - how the algorithm works in 2026 and more we're giving away our playbooks and 100s of other creators who we know have built $100k/mo businesses. want it for free? like and comment "LINKEDIN" and i'll send it over
GIF
English
283
25
287
13.5K
Yann
Yann@yanndine·
I put 20 GTM growth tactics from 130 GTM engineers into ONE Notion doc. 20 tactics. No fluff. - How to track LinkedIn engagement on competitor posts and turn it into pipeline within 48 hours - How to pull intent signals into Clay and trigger outbound sequences the moment an account crosses a threshold - How to route pricing page visits to sales in real time using website intent tracking - How to run beachhead ABM on 10 to 20 accounts before expanding the list - How to move an existing customer to partner billing in exchange for net new introductions - How to book 35+ meetings before a conference starts using manual outreach 3 weeks out - How to run a 60-minute influencer webinar in interview format that actually drives pipeline - How to combine a large tradeshow with an intimate dinner for your top accounts - How to find your highest-impression lowest-CTR pages and rewrite them for AI search visibility - How to build a free template library that compounds SEO impact across your ICP This is the resource I would have KILLED for before spending months testing tactics that had already been proven by someone else. Like + comment "GTM" and I'll send it over (must be connected for priority access)
Yann tweet media
English
148
14
132
5.1K
SniperAlert
SniperAlert@StockOptions888·
Here’s a helpful hack if you’re an options trader that will help you find 100%+ trade setups DAILY. I grew an account from $1,000 → $100,000 in less than 30 days using the exact same strategy every single day. I made a FREE 6-page guide that will teach you this same exact strategy. 💚 $SPY Like + comment “Guide” and I will send you a DM. (Must be following to DM)
SniperAlert tweet media
English
843
20
501
54.8K
Jordan Ross
Jordan Ross@jordan_ross_8F·
Anthropic ran their entire marketing operation with one person. $380 billion company. Paid search. Paid social. SEO. Email. App stores. One non-technical hire doing all of it — for 10 months. I pulled it apart. Compared it to every system we've built across the clients we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch — what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a 47-page PDF you can upload directly to any LLM. It coaches you through building your own version step by step. Comment "marketing" and I'll send it over.
Jordan Ross tweet media
English
1.7K
144
1.5K
137.8K
AudaCity Capital
AudaCity Capital@Audacitycap·
GM Traders $240,000 Funded Account We are gifting EVERYONE with a $240k funded account today. No requirements. Just comment "I'm ready"!!!!!!
English
2.8K
231
1.2K
177.6K
Drip2Rip 🫵
Drip2Rip 🫵@TheRealDrip2Rip·
GEX FlowMap v4.0 is live on TradingView! Index futures users, your levels now update the way they should. No more stale lines! The Story Engine got a full overhaul. Proprietary hysteresis logic means the narrative holds its read until the structure actually earns a change. No more flip-flopping on a single wick. The GEX Flip is now the centerpiece of every scenario. Because it should have been all along. Also! Please, please, please add it now so you don't forget about it. Bookmark it if you have to! A lot of y'all out here like "I can't search it" and that's accurate. The script is private. Click the link. Add it to your chart. Add it to your favorites. Thanks. tradingview.com/script/g86QwHh…
English
22
11
155
9.5K
Chief_Engineer
Chief_Engineer@ChiefEngineerCE·
No offense but between all the theft of IP and leaked data - the whole industry seems to be run by inexperienced college kids. When they do invite an adult into the room - seems to always be a psychopath with no real world experience who's solution is to fire folks as soon in as possible. I have watched our tech industry devolve into a nihilistic self promotion game with zero self perception and even less consequential thinking. These are literally the people building a system to 'replace' us? Stop the planet... Let them get off.
English
41
68
758
23.3K
Jeremy
Jeremy@Jeremybtc·
Anthropic accidentally leaked their entire source code yesterday. What happened next is one of the most insane stories in tech history. > Anthropic pushed a software update for Claude Code at 4AM. > A debugging file was accidentally bundled inside it. > That file contained 512,000 lines of their proprietary source code. > A researcher named Chaofan Shou spotted it within minutes and posted the download link on X. > 21 million people have seen the thread. > The entire codebase was downloaded, copied and mirrored across GitHub before Anthropic's team had even woken up. > Anthropic pulled the package and started firing DMCA takedowns at every repo hosting it. > That's when a Korean developer named Sigrid Jin woke up at 4AM to his phone blowing up. > He is the most active Claude Code user in the world with the Wall Street Journal reporting he personally used 25 billion tokens last year. > His girlfriend was worried he'd get sued just for having the code on his machine. > So he did what any engineer would do. > He rewrote the entire thing in Python from scratch before sunrise. > Called it claw-code and Pushed it to GitHub. > A Python rewrite is a new creative work. DMCA can't touch it. > The repo hit 30,000 stars faster than any repository in GitHub history. > He wasn't satisfied. He started rewriting it again in Rust. > It now has 49,000 stars and 56,000 forks. > Someone mirrored the original to a decentralised platform with one message, "will never be taken down." > The code is now permanent. Anthropic cannot get it back. Anthropic built a system called Undercover Mode specifically to stop Claude from leaking internal secrets. Then they leaked their own source code themselves. You cannot make this up.
Jeremy tweet mediaJeremy tweet media
English
1.5K
8.6K
53.8K
3.8M
Adam Rahman
Adam Rahman@AdamrahmanGTM·
AI does 90% of our initial GTM strategy formulation all in just these 6 prompts. This has been a MASSIVE unlock for speed to winning GTM for our diverse client base. (Comment "Prompts" and I'll DM you a document with all of the prompts.) Here’s what these prompts cover: 1/ Deep Market Research This prompt pulls all relevant information specific to what would be useful for GTM knowledge for the company you're looking to develop a GTM strategy for. The purpose of generating this information is to use it as context for future prompting. 2/ TAM Mapping This prompt will discover all relevant industries & sub-industries that your company could work with, plus statistics on general market size, industry value, and industry growth rates. Outputs from this prompt will also be useful context for other prompts. 3/ ICP Validation This prompt will develop ICPs from the industries uncovered from the TAM Mapping output. It will score each industry segment from highest to lowest priority, find the best fit personas from each industry segment, outline their specific needs & pain points, and craft some messaging ideas around this information. 4/ Company Account Sourcing This deep research prompt will find unique databases for any set of company data that you are looking for. From online directories, to scraping methods, to other niche paid databases - this prompt will give you a list of best fit options for your particular targeting case. 5/ Targeting Keywords Generation This prompt will generate a list of relevant industry and persona keywords to use for specific database filtering for when your developing lists in tools like Apollo. These keywords are typically a lot more accurate than using the general industry filtering. 6/ Messaging Creation This prompt will create multiple email script variations based on the context generated from previous prompts. It'll create unique variations on length of the emails, different offers, pain points, case studies, and complexity. Want these copy-and-paste prompts for yourself? Comment "Prompts" and I'll DM you a document with all of the prompts. (Must be following to receive)
Adam Rahman tweet media
English
80
5
66
4.5K
Noah Frydberg | Tiktok Shop For Brands
BREAKING: Claude can now run your entire ecom brand tiktok like a $500/hour social media manager. I reverse-engineered how top social media brands use AI to build million-follower accounts. Here’s the crazy part: This system produces 550+ cinematic, product-ready ads per day from a single prompt. Here’s the full pipeline: → AI generates a realistic UGC persona — face, voice, personality → Arcads clones a natural voiceover in seconds → CapCut auto-edits: captions, pacing, hooks — done → our phone farm method pushes every finished video straight to TikTok Shop → Cruva Social 1 identifies which hooks are already winning in your niche before you film anything The result: 500+ videos a month, per brand, at a fraction of what one UGC creator used to cost. Most brands are still paying $300–500 per video. Testing 10 hooks takes $5,000 and three weeks. With this system, you test 100 hooks in the same timeframe. The ones that win get scaled. Automatically. AI is the new creative director. TikTok doesn’t reward the best video. It rewards the brand that shows up the most — with content that converts. Static agencies are dead. Creator dependency is a liability… and it’s soooo 2025. No more waiting on creators. No more $500 videos that flop after 200 views. The brands that automate content at scale will be the biggest winners of 2026. If you want the full breakdown: Like & comment “SYSTEM” I’ll send you the complete workflow, every prompt, and a step-by-step walkthrough. Free. (Follow first so I can DM.)
Noah Frydberg | Tiktok Shop For Brands tweet media
English
186
28
250
23.7K
Michael Davidson
Michael Davidson@mike_revenue·
I helped raise a company from $493K to $1.6M in valuation, spending 70 hours building a $35M AI operations system for them. The founder was working 58 hours weekly before he came to me But now is down to 25 hour weeks. ~zero time in delivery. 
( Profit margin also increased from 22% to 35% too ) > The founder was personally involved in 83% (exact % btw) of revenue. 
 > 7 employees and most decisions still found their way escalating to him > couldn't take a weekend off without his phone blowing up we mapped every function in his business. what's actually keeping clients vs what's just keeping him busy. 69% of the operation was DRAG. reporting. project setup. invoice follow-ups. QA reviews. status calls. onboarding ran from memory every time. Scattered client data across multiple softwares. so we stripped it all and here’s what we built to replace it: > custom dashboard replaced him checking 6 tools every morning. > AI agents took over reporting, proposals, and client updates. > decision frameworks so the team stops asking him every question. > QA system so he's not reviewing every deliverable. > onboarding automated with material collection and client context immediately ingested Day 1. The result: > decrease his work load from 58 hours to 25 hour weeks. ~zero time in delivery. > profit margin raised from 22% to 35%. > valuation increase from $493K to $1.6M. (proprietary data set, owned software infrastructure, new revenue channel via system installation fees) same clients, smaller team, same revenue. 

Now that his time is freed up , he’s taking on double the number of clients with this NEW AI architecture. If you want me to do the same for you, I’m giving away all of these for free: (today only) 1. How this $35M AI operations system works 2. Full Aerodynamics Audit — 75-question diagnostic that scores your business 0-100 on founder dependency, function maturity, systems infrastructure, revenue health, and AI readiness. Takes 60 minutes. You'll know your exact drag percentage down to the hour. 3. Drag Map — function-by-function breakdown showing which of your 10+ core business functions are load-bearing vs. drag, rated 1-5 on maturity. Most founders discover 60-85% of their hours are drag. 4. Financial Impact Report — what your drag costs you per month in dollars, what your valuation looks like with vs. without systems, and the margin unlock if you strip it. 5. Build Sequence — the exact order to systematize your operations so nothing breaks. Which function first, which stays human, what gets built in week 1 vs. week 2 and so on based on 30+ builds across 12 industries. Comment "blueprint" to receive all 5 of these :) ( must follow + RT so I can DM )
English
195
121
195
18.4K
Vitalii Dodonov
Vitalii Dodonov@vitaliidodonov·
I’m launching Stanley (AI Head of Content) on June 1, 2026. Over the next 6-12 months, I'll grow it from $0 → $10M ARR. In public. (While running my $30M ARR business full time) I will also be using only AI employees to do it, so you can copy the playbook. I'll update this thread as I go. Bookmark it and follow along to hold me accountable 🤝 Comment "alpha" to get early access. My social media stats as of today:
Vitalii Dodonov tweet media
English
344
36
525
57K
Bryan Pena retweetledi
Moe
Moe@katibmoe·
Introducing One. The simplest way to connect and monitor AI agents to hundreds of apps. And we’re open-sourcing the world’s largest integration database powering it: 47,000 agentic actions across 250+ apps. RT + comment “One” for access & 1M free API requests/month.
English
740
426
862
155.7K