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What you unlock at each tier
You joined as a free member. Read this whenever you get to the point of wondering what the paid tiers add. There are three rungs. Each one leads with a tool that does something no ordinary assistant does, and comes with the Classroom material that teaches you to use it. Nothing is held back to make the tier above look better. Free — $0 • Every community feed, including the daily market briefing written for people building a system rather than trading one • Three free tools: the Obsidian Tracker (every platform in one view), System Lab (design a system and plan redundancy before you fund it), and the Yield Calculator (what a quoted rate is worth after tax) • The Classroom intro modules, with every other module visible so you can see what is behind the wall before you decide Free is a real tier, not a trailer. If you are still working out the framework, it is the right place to stay. Premium — $19/mo in the community ($29/mo direct on the website) Premium unlocks Tephra, a memory brain that grows itself. Most AI memory is a box you fill by hand, siloed inside one app, and blank again the moment a chat ends. Tephra is the opposite. • Tephra — a private, encrypted knowledge brain that grows itself. It files new memories on its own every day, on the order of 5,000, and generates fresh ones from every interaction, so it compounds without you lifting a finger and gets sharper the more you use it. It is one memory across every AI you use — Claude, Onyx, and your local model read and write the same brain, so a decision made once is known everywhere and nothing is ever re-explained. A private side stays yours: your goals, facts, and corrections isolated and encrypted. And it is explorable — a living graph lets you see how everything you know connects, not a black box • FinSim — a simulated, paper-only research sandbox. Test ideas against historical and live data. No real trades are ever placed, no capital moves, and it is not advice • Studio, Script Lab, Automations, and the Content Calendar — the Premium creation suite that builds on Tephra
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What you unlock at each tier
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A memory for the money stuff you keep re-learning
Most of us learn the same thing about our money three times. You read up on a rate, you work out your own situation, you make a call, and six months later you are half-starting over because none of it was written down anywhere useful. Tephra is the fix we have been building for that. It is a memory layer: you teach it what you know, your notes, the framework, the details of your setup, and it holds them and hands the right piece back when you need it. Not advice, not predictions. Your own knowledge, remembered and searchable, so you build on it instead of rebuilding it. It is part of Premium at the member rate. If the idea of never re-deriving your own money notes sounds useful, reply and tell me the one thing you always forget and have to look up again. That is exactly what it is for. Available in the App Hub (found in the classroom tools) Educational only. Not financial advice.
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An assistant that runs the work, not one task at a time
Most AI assistants are a queue. You hand over a task, you wait, it comes back, you hand over the next one. If the job has six parts you run that loop six times, and you are the one holding the thread the whole way. Onyx is built the other way around. You hand it the objective. It decides the approach, splits the work, passes the pieces to sub-agents, and keeps them moving in parallel. The plainest description is a chief executive: it is not doing every job itself, it knows the business, it decides who does what, and it follows through. While that is running, the prompt box stays open. You keep talking to it. Nothing locks up waiting. What makes it useful rather than just busy is that it is wired into Tephra, so it starts already holding your context instead of asking you to supply it again. It thinks alongside you and reports back, and you stay the one who decides. It is a conversational assistant for learning and working through problems, not an advisor. Onyx is part of VIP at the member rate. Put the multi-step thing you keep meaning to get to in the comments and I will show how I would hand it over. ** Onyx is still in development ** Educational only. Not financial advice.
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AI and Finance: the cold start problem applies to building wealth too
The cold start problem in AI is when a system has no data to work with at the beginning, so it cannot make good decisions until it has enough experience. The early period is awkward, slow, and feels like nothing is working, because the system needs a minimum amount of input before it becomes useful. Building wealth has the same cold start. The early period feels pointless because the numbers are small and the growth is invisible. A few hundred dollars earning a few percent produces a few dollars, and the whole exercise looks like it is not worth the effort. This is the phase where most people quit, because the feedback is so weak that it feels like the system is not working. But the cold start is temporary. The system needs time and input to reach the point where the feedback becomes self-reinforcing. Once the balance is large enough for the returns to be noticeable, the growth starts to feel real, and once it feels real, the motivation to continue becomes self-sustaining. The challenge is surviving the cold start, the period before the system has enough to work with. This is the cold-start concept applied to money, taught as education, not financial advice. If you are early in your financial journey, how do you stay motivated during the phase where the numbers are too small to feel like they matter? Educational only · Not financial advice · Results not guaranteed.
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📊 Daily Market Update — August 24, 2026
Welcome back — here's the plain-language breakdown of what moved markets, what the data says, and what it means for the platforms and systems we track inside the community. No hype, no predictions — just what changed, why it mattered, and what to watch next. Let's get into it. 🌍 The Headline Monday was a split tape driven by policy, not earnings. Treasury Secretary Scott Bessent unveiled "Operation Economic Outcast," an expanded sanctions campaign against Iran that widens the categories for secondary sanctions on entities and countries transacting with Tehran and adds new sanctions across digital assets, gold, aviation, technology, and shipping. His sharpest line — that violators "will be removed from the U.S. dollar system" — was aimed specifically at entities facilitating money laundering on behalf of Iran, a narrower trigger than the broader secondary-sanctions expansion announced alongside it. Separately, weekend U.S.–Canada trade talks collapsed: President Trump threatened 50% tariffs on Canadian autos, auto parts, and steel effective January 1, 2027, and Prime Minister Mark Carney suspended negotiations and said retaliatory tariffs begin September 8. Underneath both, memory-chip stocks sold off hard on a weekend report that Washington will permit Apple to source memory chips from Chinese suppliers CXMT and YMTC. Takeaway: The Dow finished higher while the Nasdaq fell — that gap is the whole story of the session. When the damage is concentrated in one industry rather than spread across the tape, the index level hides what is actually happening underneath. 📈 U.S. Stock Market Performance S&P 500 (SPX): 7,652.86 (−21.51 / −0.28%) Dow Jones (DJIA): 53,417.16 (+140.15 / +0.26%) Nasdaq Composite (IXIC): 25,980.19 (−200.27 / −0.76%) Russell 2000: 2,995.08 (−22.79 / −0.76%) What moved it: - Memory names were the drag, and the catalyst was competitive, not cost-driven: reports that Apple may source DRAM and NAND from China's CXMT and YMTC read as a demand threat to the incumbent memory suppliers. Closing declines — SanDisk −6.45%, Micron −5.83%, Western Digital −5.24%. Note that several outlets reported steeper intraday numbers (SanDisk was down about 9% and off 11% at its low); the figures here are closes, which is why they read smaller. - A separate report that Nvidia plans to raise AI server prices more than 15% on higher memory costs hit the buyers of memory rather than the sellers. Nvidia itself closed down 2.91% ahead of Wednesday earnings, AMD −3.49%, Broadcom −2.63%. - The Dow held up because its weighting leans away from the chip complex — a structural difference, not a change in sentiment. - Treasury yields eased slightly on the day, which cushioned the broad market but did not offset the tech drag.
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