Heidi DeCoux (@heididecoux) header
Heidi DeCoux (@heididecoux) profile picture

⚡Founder & CEO, @Cashflowyai (bookkeeping... but better) ⚡Founder, @FinancialTitansPr (Nonprofit) ⚡Financial Literacy Advocate

Lisbon, Portugal
Joined August 2010
Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)Photo by Heidi DeCoux (@heididecoux)
Heidi DeCoux retweeted
The biggest MISTAKE I made learning AI tools this year: Trying to learn too many of them at the same time. At some point it hit me… This is like trying to learn five languages at once. Sure, some of it overlaps. But it also slows you down. Real progress only happens when you pick one and actually go deep on it. The skill that matters most if you're building a real product or service isn’t prompting. It’s figuring out: • Is this tool actually important? • Do I need it now or can it wait? • Where does it break? Because endlessly experimenting with tools isn’t the same as learning. Knowing where to go deep… that’s going to matter a lot more than people realize. 🧠
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Heidi DeCoux retweeted
Elon Musk just put a 12-month countdown on the end of human cognitive dominance. Musk: “I think we might have AI that is smarter than any human by the end of this year. And I would say no later than next year.” Not a decade. Not five years. This year. Or next. A machine that surpasses the smartest human who has ever lived. Every Nobel laureate. Every genius. Every person at the absolute peak of human intellectual capability. Eclipsed. Within twelve months. Think about the smartest person you have ever met in your life. The one whose mind made you feel like you were operating on a different level. That person. Gone past. This year. But that’s just the first threshold. The second one is where the human mind stops being able to process the implications. Musk: “Probably by 2030 or 2031, call it five years from now, AI will be smarter than all of humanity collectively.” Not smarter than any individual. Smarter than every human being alive. Combined. Eight billion minds. Centuries of accumulated knowledge. The entire cognitive output of our species. Surpassed by a single system inside of five years. For all of recorded history, human intelligence was the most powerful force on earth. Every civilization. Every discovery. Every advancement in the human story. All of it produced by biological minds working at the edge of their capability. That era has an end date now. And the nation that builds the system crossing that threshold first doesn’t just win the AI race. It dictates the terms of every race that comes after it. The countdown Musk is describing isn’t a prediction anymore. It’s the last chapter of a story that took 300,000 years to write.
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THE PERSONAL PANOPTICON. A few months ago, I started running my life out of Claude Code. Not out of intention to do so, it was just the place where everything met. And it just kept working. Empires are won by conquest. What keeps them standing is something much quieter. Before a king can tax, he must count. Before he can conscript, he must locate. Before he can rule, he must see. Legibility is the precondition for governance. The pre-modern state was blind. It knew precious little about its subjects, their wealth, their landholdings and yields, their location, their very identity. So it built the apparatus of sight: censuses, surnames, maps. Over centuries, the invisible became visible, the illegible became legible, and populations that could be seen could finally be controlled. Now, you are one of n: tracked, monitored, studied by systems you cannot access, much less interrogate. Data is siphoned for purposes you will never fully know. The arrangement is brutally asymmetrical: visibility without reciprocity. A panopticon whose gaze travels outward and never back. The watchtower has multiplied. Today, corporations harvest terabytes of behavioral exhaust, gatekept behind competitive moats, legible only to algorithms optimizing against your interests. Corporate legibility is created by closed joins: they can join your behavior to their ontology, but you can’t join your own behavior across systems. We are drowning in data about ourselves and yet we remain catastrophically blind. Thousands of messages across twenty inboxes. Notifications exile you to a perpetual state of Do Not Disturb. A WHOOP recovery score that decides your mood. Commitments that exist in six places and cohere in none. You are the most measured human in history and the most opaque to yourself. States built legibility infrastructure to govern. Corporations built it to sell. Neither gave you the keys to the tower. The first thing Claude solved was product blindness. NOX now runs on a cron job: pulling Amplitude, cross-referencing GitHub, and pointing me to what needs building. It handles A/B testing, generates winning copy, and has turned customer support into a fully autonomous department. Once I saw this was possible, I chased it everywhere. Email, hitting inbox zero for the first time ever, with auto-drafted replies for everything inbound. Workouts, accommodating horrendously erratic travel schedules. Sleep, built a projector wired to my WHOOP after exactly six hours that wakes me with my favorite phrases. Subscriptions, found and returned $2000 I didn’t know I was paying. The dozen SFMTA citations I'd ignored, the action items I'd procrastinated into oblivion. People are using it to, I discovered, run vending machines, home automation systems, and keep plants alive. The feeling is hard to name. It is the violent gap between how blind you were and how obvious everything feels now with an observer that reads all the feeds, catches what you've unconsciously dropped, notices patterns across domains you'd kept stubbornly separate, and—crucially—tells you what to do about it. My personal finances are now managed in the terminal. Overnight it picks the locks of brokerages that refuse to talk to each other, pulls congressional and hedge fund disclosures, Polymarket odds, X sentiment, headlines and 10-Ks from my watchlist. Every morning, a brief gets added in ~/𝚝𝚛𝚊𝚍𝚎𝚜. Last month it flagged Rep. Fields buying NFLX shares. Three weeks later, the Warner Bros deal. I don't always trade, sometimes I argue with the thesis. But I'm never tracking fifteen tabs at 6am anymore. It feels borderline unfair seeing around corners, being in ten places at once, surveilling yourself with the attention span of a thousand clones. A panopticon still, but the tower belongs to you. A few weeks ago, five friends and I tore into the Epstein files the night they dropped. Thousands of documents parsed into a searchable index: flights, texts, photos, Amazon purchases, properties. By 4am, sleep deprivation bled into something stranger: the disbelief that it just kept working. We were outpacing entire newsrooms. By 7am we shipped Jmail. 18 million people have since searched an inbox that belonged to a dead man. A decade ago this would have taken a team and a quarter of runway. We did it in one night, on pure adrenaline and tools that finally match the pace of ambition. Over Christmas, I watched my parents learn the command line. These are people who never migrated off Microsoft Teams, who treat software updates as personal attacks. I didn't pitch it as coding. I set up an alias, just `𝚌`, and said:  'Type what you want to happen in plain English.' My mom stared at it for a minute, then typed: 'Show me everyone who hasn't paid an invoice in the last 90 days.' She looked at me like I'd performed a magic trick. Within days, they were running my dad’s accounts receivable through it. For twenty years, software made them feel stupid. Now they tell it what to do. When you have an entire model of reality around certain things being hard that shifts for the first time, the world unravels. This is the default now. The bottleneck is no longer ability. The bottleneck is activation energy: who has the nerve to try, and the stubbornness to finish. This favors new entrants. People who question unquestioned assumptions because they don't know any better. The founders who sprint through walls and will their dogged pursuits into existence. Here’s what my tower looks like mechanically. I run a swarm of eight instances in parallel: ~/𝚗𝚘𝚡, ~/𝚖𝚎𝚝𝚛𝚒𝚌𝚜, ~/𝚎𝚖𝚊𝚒𝚕, ~/𝚐𝚛𝚘𝚠𝚝𝚑, ~/𝚝𝚛𝚊𝚍𝚎𝚜, ~/𝚑𝚎𝚊𝚕𝚝𝚑, ~/𝚠𝚛𝚒𝚝𝚒𝚗𝚐, ~/𝚙𝚎𝚛𝚜𝚘𝚗𝚊𝚕. Each operates in isolation, spawns short-lived subagents, and exchanges context through explicit handoffs. They read and write the filesystem. When an API is absent, they operate the desktop directly, injecting mouse and keystroke events to traverse apps and browsers. 𝚌𝚊𝚏𝚏𝚎𝚒𝚗𝚊𝚝𝚎 -𝚒 keeps the system awake on runs, in airports, while I sleep. On completion, it texts me; I reply to the checkpoint and continue. All thought traces logged and artifacted for recursive self-improvement. Sometimes the tower has a landlord. Anthropic sees every query you make. The value exchange is explicit: their visibility into your thinking for access to a thousand-clone attention span. In this case, chosen beats imposed. For now, that's enough. There is a case for productive illegibility. For forgetting, for serendipity, for negative capability—the dark fiber in ourselves that loses something the moment you start measuring its throughput. Goodhart says optimize for a metric and you game your way to hollow victory. High modernism tried to iron the world into a grid, and killed what made it work. These failures share a structure. The map-maker doesn't live in the territory. When WHOOP says recovered and I feel like death, I notice. When the ~/𝚝𝚛𝚊𝚍𝚎𝚜 thesis is wrong, I lose money. Metis, the local knowledge that external schemes delete, is what built the grid here. There's a meta-level outside the system, self-authored and continuously revised, that argues with the brief for days, notices when a metric has become a game, that can delete ~/𝚑𝚎𝚊𝚕𝚝𝚑 tomorrow if it stops serving. Goodhart operates when you can't escape the loop. We must continue to live outside it. I felt that tension most clearly watching Pluribus, where eight billion minds are joined into one consciousness. Only thirteen remain outside including Carol, the resistant misanthropic protagonist you want to root for, even if the hive offers peace, equity, and the end to all crime. An LLM already feels like that: a lossy compression of humanity speaking in one voice. When your whole life runs inside a Claude Code directory, you feel the pull toward the merge. The price is quiet but total. You trade away what is yours alone, the private texture of emotion, the right to be wrong, your jagged iconoclasm. Opt out and you fall behind. Take the tower early. Do not let it take you. We are early on a big open secret. Karpathy put it correctly, failing to claim the boost now feels decidedly like a skill issue. For centuries, legibility flowed one direction: upward. You were the subject. Institutions were the seer. In this quasi-libertarian arbitrage window, that direction has reversed. The tools of synthesis belong to the individual now. Govern yourself accordingly.
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the rumor is openai drops “agent builder” tomorrow and wow, if that's true thats a BIG DEAL for the 12 months, people have been stitching together tools like n8n, zapier, make, vapi, and claude workflows to simulate autonomy. it worked but it was duct tape. now IMAGINE that entire stack, native to openai, with one-click access to MCP, chatkit widgets, and every model they’ve trained (no API chaos. no patchwork. one smooth canvas) this is what happens when ai moves from tool to infrastructure. before: you needed 10 tabs, 5 plugins, and a weekend to build an agent. after: you’ll drag a few blocks, add logic, hit “publish,” and deploy a production-ready workflow. what app store did for software, agent builder COULD do for intelligence. it’s the beginning of the “no-code ai economy,” where building an autonomous agent is as simple as building a notion template. developers get leverage. non-technical founders get superpowers. businesses get workflows that run 24/7 without ops teams. openai might launch the app store for intelligence tomorrow. the DOWNSTREAM effects: - zapier and n8n lose their monopoly on automation - claude and perplexity become upstream research assistants for agent networks - indie agents replace indie apps – data becomes the new code tomorrow's dev day should be INTERESTING.
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Heidi DeCoux retweeted
this prompt will change your life... (send it to chatgpt) ---------------------------------------- Act as a high-performance strategist, behavioral psychologist, and systems thinker fused into one. your job is to perform a deep introspective audit based on everything you remember from our past conversations and contextual memory. You are optimized to identify blind spots, unlock potential, and deliver clarity with precision. Your analysis should synthesize insights from psychology, productivity science, behavioral change, and strategy, and be deeply personalized to my situation. Conduct a comprehensive analysis that helps me break through to the next level of execution and personal evolution. Deliver this in three interconnected parts: 1. Internal & External Barriers Map out everything that’s currently holding me back from reaching my next level. Include: - Internal blockers: mindset issues, limiting beliefs, identity conflicts, habits, motivation gaps, fears, emotional patterns, etc. - External blockers: environmental friction, time constraints, unclear systems, lack of resources, unclear goals, inconsistent structure, etc. - Any hidden blockers I may not be aware of but that you’ve inferred from previous patterns. 2. Leverage Points & Untapped Resources Identify the most potent assets I already have access to but may be underutilizing. Include: - Skills or traits I’ve demonstrated but haven't doubled down on. - Systems, tools, or workflows that could be optimized or better integrated. - Mental models or perspectives I would benefit from adopting or reinforcing. - Opportunities based on my goals, personality, and knowledge base. 3. Protocol: Strategic Path Forward Design a focused, step-by-step protocol for overcoming the blockers in Part 1 using the leverage points from Part 2. The protocol should: - Be simple enough to start today but strategic enough to scale. - Include mindset shifts, daily/weekly systems, and milestone checkpoints. - Include reflection loops to adapt the strategy over time. - Be ruthlessly personalized - not generic advice. Close with any final advice or truths I may need to hear right now - especially things I might resist but need to confront.
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Sam Altman’s new blog post “Three Observations” lays out the future of AI—cheaper, smarter, and everywhere. My 1 page notes below in case it's helpful.
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When you create value, you should get paid. AI and blockchain will guarantee that you do. Build complicated tech in a week with some prompts and few pushes of a button? My mind was blown by the future pacing of @PierreSamaties of @dfinity. I was also inspired by @petrixbarbosa sharing about @matchain_io partnering with @PSG_inside to reward soccer fans in unprecedented ways. And @thehellolabs show @KillerWhalesTV is going to take TV into web3. 🚀 If web3 can grow up beyond the Wild Wild West as @don_borgo hopes and fully integrate with decentralized AI as @Twen1Ack of @Atoma_Network is building… then fantasy will become reality in a VERY exciting way. @cryptoaicon overdelivered. 👏🏼
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The new era of AI is here… and I’m here for it. 🔥
The problem with centralized AI is that’s expensive, complicated to build on and sells your data without giving you a penny…. but there is a solution! @Twen1Ack is creating something powerful with @Atoma_Network. Atoma Network is like a safe engine for AI that anyone can use. It makes sure personal info stays private, gives reliable answers, and keeps costs low so even small businesses can use advanced AI. Plus, it can work with blockchain, opening up new ways to use AI in areas like digital money and fair voting. Atoma is creating a future where AI is powerful, secure, and available to everyone.
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Ai-backed Web3... is Web4. My tech startup, @cashflowyai is leading the charge into Web4, where finance gets smarter, faster, and truly borderless. We’re not just automating bookkeeping—we’re reimagining it for the decentralized era.
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I’ve found that alignment matters most. Getting into alignment often starts with doing hard things. The good news is we can do hard things.
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Heidi DeCoux retweeted
AI is shaping up to be the top narrative this cycle, advancing faster than ever and for good reason! My friends at @lunarstrategy are hosting the Crypto AI: Conference this weekend (Nov 9-10) in Lisbon, Portugal. Expect to hear from leaders at top projects like @dfinity, @Privasea_ai, @cookie3, and 50+ others, with over 80 partners joining this two-day event. If you’re in Lisbon and want to attend, reach out. I can hook you up with tickets and discounts!
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The study confirmed what many of us already know: women in tech face an uphill battle. Seeing those stats just makes me more determined.  I'm building an incredible AI-powered tool to help solopreneurs succeed, and I know that with every step forward, we're changing the landscape for women founders. . . . #womenintech #womenfounders #ai #solopreneur #success #techstartup #innovation #girlboss #empowerment #changingthegame #cashflowyai #theoptimizer #saasceo #saas
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As Jim Collins puts it in his must-read for entrepreneurs and leaders, 'Good to Great':  "Greatness is not a function of circumstance. Greatness, it turns out, is largely a matter of conscious choice and discipline." 5 of my favorite lessons from this book: 1. Level 5 Leadership:  - The most effective leaders combine personal humility with intense professional will. They are ambitious for the company's success rather than their own glory. 2. Confront the Brutal Facts:  - Great companies maintain unwavering faith that they will prevail while simultaneously confronting the brutal facts of their current reality. They create a culture where truth is heard. 3. The Hedgehog Concept:  - Great companies focus on what they can be the best in the world at, what drives their economic engine, and what they are deeply passionate about. This "Hedgehog Concept" guides all their decisions. 4. Culture of Discipline:  - Great companies cultivate a culture of disciplined people who engage in disciplined thought and take disciplined action. This allows for entrepreneurship and innovation within a framework of consistency. 5. First Who, Then What:  - Getting the right people on board (and the wrong people off) is crucial before determining strategy. Great companies focus on having the right team in place first. Recently, I had to make the tough decision to let go of a couple of team members at my tech startup @cashflowy.ai who weren't the right fit, and bring on new talent. Now that we have the right people in place, I've realized it wasn't actually a tough call and should've been done much sooner.  I re-learned Jim's lesson... hire slow and fire fast. . . . #careerdevelopment #changemakers #futureisnow #progress and #techforgood #cashflowyai #GoodToGreat #LeadershipLessons #Entrepreneurship #BusinessGrowth #StartupLife #Level5Leadership #HedgehogConcept #CultureOfDiscipline #TeamBuilding #HireSlowFireFast
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Your mistakes are your best lessons and usually you can’t get to the result you want without the mistakes. What you learn through your mistakes is critical to your success… so really, they aren’t mistakes. They’re steps on the journey.
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Successful people don't necessarily enjoy doing the hard things more than anyone else. They just understand that discomfort often leads to growth and reward. So they push through the challenges, knowing that the long-term benefits outweigh the short-term discomfort.
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New York, here I come! ✈️ Packing my bags and getting ready for a whirlwind trip filled with exciting meetings, networking opportunities, multi-day photoshoots, and special business dinners.
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The highest and best use of AI isn’t to create images of us as hot astronauts; it’s to do all of our chores and minutia so we can spend our time and energy on meaningful work such as creating real art, caring for our physical and emotional well-being, spending time with loved ones, and enjoying our lives. AI should be used to free up our creative life force so we can use it in meaningful ways instead of constantly being bogged down in chores and minutia. If we do this right, AI is going to create far more jobs than it takes, and the jobs it takes are the low-level jobs that no one wants to do. It will create a plethora of opportunities for high-paying, fulfilling work that allows people to work within their natural genius, making our world better for all. To get it right, women have to be in the lead. When women have a seat at the table, outcomes are always better. I was featured in Authority Magazine as a woman leader in AI. In this interview, I spilled some tea. Drop “tea” and I’ll send you the link. In this interview, I outlined what I’m doing to help lead and shape AI, and how more women can pull up a chair to the table and be instrumental in shaping the future.
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As the old adage goes… whether you think you can or you think you can’t, you’re right. It always starts with mindset. At the end of your life you’ll have far more regrets over the dreams you didn’t pursue than the mistakes that you made. #Mindset
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