Isaac

618 posts

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Isaac

Isaac

@ZenChuChu

This is the way

Mars Katılım Mayıs 2021
2.9K Takip Edilen172 Takipçiler
matias
matias@0xmts·
Made a minimal real-time translation app for iOS so my family can follow the parts of my wedding that’ll be in English 🥹 Codex image-gen → SwiftUI shell → API integration With a dream and a few billion tokens you can truly build anything
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Isaac
Isaac@ZenChuChu·
@thsottiaux Could you allow us to quickly edit CSS in the Codex app with the in app browser open? So you right click an element, edit CSS or perhaps open a sidebar with with CSS editing.
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Tibo
Tibo@thsottiaux·
Now that the Codex app is close to being the super app. What should the super duper app do?
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Isaac
Isaac@ZenChuChu·
@WolfRiccardo These are great. What are you adding to the prompts to get this level of realism?
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Riccardo Wolf
Riccardo Wolf@WolfRiccardo·
Yes, these images not real. I created them with ChatGPT Images 2.0. I’m continuing my prompt tests, and I generated these visuals not with the most expensive HIGH version, but with the cheapest LOW setting. Feel free to take a closer look at my profile. I share a lot of content about “realism.”
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Isaac
Isaac@ZenChuChu·
@0xSero What do you do with it in figma?
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0xSero
0xSero@0xSero·
GPT-5.5 is better on low/no thinking. Crazy. Unrelated but working in Figma is where it's at.
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Isaac
Isaac@ZenChuChu·
@thsottiaux @steipete Multiple in app browser tabs. Changing project folder names in codex should result in the actual folder name changing on the machine.
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Tibo@thsottiaux·
It’s the little things that matter, what are some small papercuts you have noticed in Codex? We’ll fix as many as possible in the next week.
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Kerem Arslan
Kerem Arslan@sibersorfcu·
GPT Image 2 occasionally adds an awkward texture to the visuals. From what I’ve gathered so far, over-prompting is the culprit. Specifically, if you overload it with style instructions, the output turns muddy. It delivers much sharper results when you define what you want in just a few concise sentences.I used the Kling 3 model to turn them into video. It looks like the AI texture will disappear completely now.
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Kerem Arslan
Kerem Arslan@sibersorfcu·
AI Films will look like this with GPT Image 2 I actually prefer its visual style much more compared to Nano Banana 2. There’s a very subtle texture in Nano Banana 2 that I’m not a fan of those working at a professional level will know exactly what I mean. This doesn't have that. It can produce much sharper visuals. However... 👇
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Isaac
Isaac@ZenChuChu·
@traderwillhu It’s a great app. I added favourites, a setups library and setup tagging to it as well - makes it easy to have RR tools and tags/notes on the chart and in a sidebar library as well. Thanks for creating the foundations of it
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Will Hu
Will Hu@traderwillhu·
x.com/traderwillhu/s… My project is definitely not perfect one but it can save you some time.
peoplewish@Peoplewish

I’ve got a good project for you. One of the best ways to improve your pattern recognition is to study the stocks that made truly massive moves over the last 10 years and analyze what the charts looked like before, during, and after those runs; identify low risk (tight) repeatable patterns where price expands from. The real challenge is not just finding a few examples. It is building a clean, usable historical dataset of explosive movers, then organizing it in a way that lets you quickly flip through the names and effectively teleport back to that exact period so you can study the setup, context, and progression of the move. That is the assignment. Use AI to help build a dataset of stocks that made very large moves over the last 10 years. Focus on names with meaningful liquidity so the study list is made up of legitimate, high-quality runners rather than random illiquid junk. You will need a paid data source that provides historical split-adjusted OHLC data. There are several inexpensive options that can handle this, including Massive, EODHD, and FMP. The goal is simple: create a historical study list of big liquid winners, put it into a clean usable dashboard and make it easy to review the conditions that existed before the move, through the move, and after the move. I look forward to seeing what you come up with.

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goop
goop@prompt_papi·
no AI video model does cuts and transitions like seedance 2.0. this doesn't even look AI generated. 1 prompt. 2 minutes. she's not real. most AI video comes out as one long static shot and that's immediately what flags it as fake. seedance actually does quick cuts, angle changes, and natural transitions on its own. that's what makes it feel like a real person actually edited this. no reference images. no first frame generation. no stitching 4 tools together. just one prompt and seedance handles the motion, expressions, product interaction, cuts... all of it. i've tested every model on the market. kling. sora. runway. veo. none of them do this from a single prompt. none of them handle edits like this. most AI UGC creators are still running 3-4 tool pipelines to get results that look more artificial than what this spits out in one generation. the gap between people testing this right now and people who find out about it in 3 months is going to be embarrassing. want the exact prompt i used? like + reply "SEED" and i'll send it
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Isaac
Isaac@ZenChuChu·
@oratnek_ill You managed to build up exposure quite quickly as the market turned bullish again. Were your entries close to ema21 for these positions?
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oratnek
oratnek@oratnek_ill·
PF 04/09 $AAOI $CENX $CIEN $FLY $LITE $NBIS $PL $SNDK $VIAV $VSAT $WDC $WULF Trim : AAOI
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Isaac
Isaac@ZenChuChu·
@FranVezz What’s your take on trimming?
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oratnek
oratnek@oratnek_ill·
PF 04/06 $AAOI $CENX $CIEN $FLY $LITE $PL $SNDK $VIAV $VSAT $WDC New : FLY
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SoraHikari
SoraHikari@sorahikariii·
I’m obsessed with this kind of home design
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Isaac
Isaac@ZenChuChu·
@Ror_Fly Wow. Very nice… what kind of instructions did you include in the prompt?
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Rory Flynn
Rory Flynn@Ror_Fly·
Seedance 2.0 will change things. The iphone realism + physics here... One-shotted this: + Used omni-reference. + (2) images from an amazon listing. + (1) Prompt detailed scenes...cuts...and timing. + Very specific language on the hook visual copy + pacing. (1) Prompt - (1) Output. Feels like video will have its Nano-banana moment in 2026.
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Isaac
Isaac@ZenChuChu·
@mvnnnyyy Congrats! That’s a nice equity curve
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manny
manny@mvnnnyyy·
It took 6 Fucking Years to make my first 6 fucking figures Zooming in it actually took 2 years with 80% of that coming in the last 7 months. I started in the markets 2020 during COVID like everyone else. I was in high school at the time covid happened and well I decided to start trading, opened broker account April 2020. 2020-2022 was nothing but errors. Just typical retail trading. Trading to trade, didnt learn, didnt know anything, no playbook, just would trade what I wanted and yea. I look back and cringe at ALL my trading stuff. I remember my "hard work" would be me going back to 2020 onDemand and saying if I invested 1k of SPY here I wouldve made 10k the next day 😂 How amateur of me to not change but at the same time I was around the wrong people and we fell into the ig furu trap and didnt have the right mentors. I made consistent money in 2022 from May- September (20k) quit my job, and in November 2022 I blew up like 6k of that in 1 day. Took about 1 month off, came back, made most of it back in 2 months, then again in April of 2023 blew it back all, I decided to get a job since not working was hurting my pockets, got a job, came back July 2023 after saving 10k. THEN I blew it ALL up August 2023. After this I quit. I was done with trading, I went back to college and was figuring out what I wanted to do. I was looking to getting my CDL, or getting into a trade school, but settled for a CC for the time being given it was free and registration date was ending in 2 days lol, also made me feel like I wasnt wasting time lol. Then I ended up in a finance class and it talked about trading and it genuinely sparked my interest again and knew I needed to give it another shot. My prior "pod" all blew up and I decided to come back alone and do it right this time. I needed to study people who were actually profitable and no more of that quick dopamine, lambo/ get rich quick guru's. This was when @TheOneLanceB started to really post consistently and I studied all his stuff at the time. and when I came back in January 2024 I applied a lot of his advice: Weekly Reviews of top plays Saving Books of Charts Reverse Engineering and doing Write ups DRC's Saving & studying tape etc. My sole goal of 2024 wasnt to make money, It was to genuinely learn the right way and get better at this game. So, I traded small size was just using 5-10 shares at the time. Focused on the Process. Then June 5, 2024 NVDA was setting up a FRD setup the next day and I studied for that trade A LOT, the next day June 6, the setup setup just as I saw in my write ups/ book of charts. I hit it and made my first 1k trade that day and that day single handedly sparked a spark in me I cannot describe. Its like this was possible and I can do it. Since then been just doing the same work, refining it a lot but simply trying to get better. FF a bit, in 2025 I realized I been consistent a bit, I spotted that April tariff turn, made 5k off that and realized I have edge in a certain playbook but would lose a lot in other stuff, kept trading small and it was until my buddy @Deconsecrated2 engrained mastering the playbook I make money in and scale it. So I did and since September 2025 been avging 5 fig months now just trading the playbook I have edge in. A fuck load of work to do and Im nowhere near my potential but im super super proud I hit this mark given 3 years ago I quit. This shit is way harder than it seems. The amount of work it requires is insane.
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Will Hu
Will Hu@traderwillhu·
Top Performers in US Stock Market since 2000 I want to share a self-hosted stock research tool that identifies and visualizes the most powerful price moves in US equity market from 2000 to current date. It processes raw daily OHLCV data for over 12,000 US tickers — including delisted stocks — and surfaces the top 7% performers each year for in-depth chart study. Github link: github.com/willhjw/big_mo… The project is inspired by the trading methodology of Kristjan Kullamägi (Qullamaggie), which focuses on learning from stocks that made exceptional gains in a short period of time. By studying these historical moves in detail — their price structure, volume behavior, and timing — traders can develop a sharper eye for recognizing similar setups as they form in real time. This is also a use case for my open-source charting platform. github.com/willhjw/ib_cha… If you find this project helpful, welcome to buy me a coffee. buymeacoffee.com/willhu Disclaimer Stock data and any statistics or charts derived from it are not guaranteed to be 100% accurate or complete. You are responsible for independently verifying the accuracy and suitability of the data before using it for any purpose.
Will Hu@traderwillhu

Thanks to AI coding, a complex learning process is now much simpler. I filtered the top 7% YTD stocks from 2000–2026 (including delisted ones), get 1400+ stocks, and visualized them with TradingView Lightweight Charts, featuring auto-marked highs/lows and direct period displays. Browse by year or symbol, even delisted stocks from the last decade like $LVGO and $TWTR are fully accessible. Once I refine the charting and annotation features, I will open-source this learning project.

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Amir D
Amir D@starks_arq·
Made this @MeekMill snippet in 20 minutes. 60k+ views. $4.6. 1 Prompt Seedane 2 is the best video model on the market and I will teach you how to generate stuff like this in a minutes. Reply “ok” - RT- and follow so I can dm
Amir D@starks_arq

the streets say this is how @MeekMill wrote Dreams and Nightmares. someone tell him we're the studio to work with.

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Big Wave Chartist
Big Wave Chartist@BigWaveChartist·
My updated Sniper List of strong momentum stocks. These are only stocks I am monitoring, not that I plan to buy in this environment!
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Isaac
Isaac@ZenChuChu·
@oratnek_ill What’s your typical stop loss distance (%)? I know it’s different case by case, but I see some traders always trying to go for tight stops but some others leaving room below ema 21
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oratnek
oratnek@oratnek_ill·
My basic sell rules: Phase 1: Before 1R, exit on a close below the 21EMA low Phase 2: After 1R, exit on a close below entry Trim: Trim 33% at 3R Final TP: After 3R, exit the rest on a close below the 21EMA low Risk: 21EMA low at entry All based on the daily chart.
ZAIN@reach_zain

@oratnek_ill Whats the meaning of (phase 1)?

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