... SODAX oracle now has a public candle endpoint. GET https://api.sodax.com/v1/be/orac... returns USD-quoted OHLC data for 55+ symbols across four intervals (1m, 5m, 1h, 1d). No auth, no API key, no SDK dependency. GET /v1/be/oracle/candles?symbol=BTC&interval=1h&from=1785952800&to=1786039200 These are the same prices solvers quote against and the money market uses for loan pricing. If you're building a chart and pulling from CoinGecko or DefiLlama, your chart will show ... ... NVDAx, TSLAx, GOOGLx, QQQx, SPYx). The full list is dynamic and comes from GET /v1/be/oracle/markets so you don't hardcode anything. Symbols are canonical, not per-chain. BTC covers all wrapped BTC representations across networks. Timestamps are unix seconds, candles

... Something I've been thinking about while building in the small-batch production space (bakeries, candle and soap makers, caterers): almost every tool in this category, including most of what I looked at before building my own, treats "inventory" and "capacity" as the same problem. They're not. Knowing you have 60 eggs, 8kg of flour, and 1.5kg of butter is an inventory fact. Knowing that translates to 15 cakes, not the 25 a customer just asked ...

... have ever moved a stop as price came for it, chased a candle that already left, or doubled your size right after a win, this is built for those exact moments. What it is: short scenario drills for trading psychology. It puts you inside a setup and asks what you do. You answer, you get the result and the reasoning straight away, then the next one. Wrong answers come back later in the lesson so you play them right. Fifteen ...

... either a rigid bot that broke the moment the market changed, or a signal feed that still left me to make the actual emotional decision the FOMO entry, the revenge trade after a loss, the "just one more candle" hold. Turns out that's not just me 63-80% of retail traders lose money, and it's rarely because their analysis was wrong. What I built instead: DuskOS is an autonomous execution layer not a signal bot where a swarm ...

... that looks at the chart and tells you what it sees - patterns, where support and resistance are, roughly where an entry/stop/target would sit. Basically the second opinion I wished I had at 1am staring at a candle. The part I'm weirdly proud of: instead of the AI just sounding confident, I made it keep a public track record of how often its forecasts actually land. Felt wrong to ship "trust me bro" predictions. It's live here ...

... paint you a picture. You've done your analysis. Structure is clear. Entry is clean. You pull the trigger. Then a number prints somewhere in the world and your stop is gone in one candle. You didn't have bad analysis. You had incomplete information. That's not a skill problem. That's an access problem. Hedge funds have entire macro research desks running before market open. Prop firms have dedicated news terminals and research teams. They know what ... ... coming before the candle

... features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time to see the articles and key moments that influenced the score at that time. So instead of just seeing: people supported/disliked this politician here you can understand why. The goal is to connect public sentiment ...

... features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time to see the articles and key moments that influenced the score at that time. So instead of just seeing: people supported/disliked this politician here you can understand why. The goal is to connect public sentiment ...

... showing the potential. Second, the feedback from my early users showed me that what I thought was a version 1.0 was much closer to a .5 at best. So I was left with a choice, after burning the candle at both ends to make this happen do I say good enough as is or really polish this and make it shine. Needless to say, the work goes on, and with launch lessons learned , new things are coming soon (provided ...

... Execution beats perception. Investors, journalists, even other founders love the teen founder headline. But it s a distraction. What matters: can you iterate fast, ship weekly, talk to customers, and keep retention up? Those things compound not your birthday candles. 3. Learning speed is the real edge. Being young helps only because you haven t yet calcified into the way things are done. You copy less, question more, and recover faster from being wrong. That s where the leverage ...

... briefly and quickly went back to Sonnet. 4.1 responses weren't nearly as good. Maybe user error? Comment from Chris Messina(@chrismessina): @mikekerzhner  it sucks! It's like really really bad . The context window is too small (16K vs 200K), it doesn't look across the codebase to make holistic changes, and it often uses out of date documentation. I'm shocked that they're putting this out there confidently. It doesn't hold a candle

... control of your thought process while using AI? Comment from Ruban Phukan(@goodgistai): @busmark_w_nika  Absolutely, exercising our brains and applying active thinking is essential. The key is understanding where human effort adds the most value versus where automation can enhance efficiency. Critical thinking, creativity, and strategic decision-making? That s where human intuition shines. But for highly repetitive and process-driven tasks like invoice processing, resume screening, or handling routine email data entry manual intervention often slows ... ... from it rather than just relying on it to do everything for us. One way I make sure I stay engaged is by not just accepting AI s first response. Instead, I challenge it asking follow-up questions, seeking alternative