Vito
422 posts

Vito
@Vito_Don_
Một người đàn ông không dành thời gian cho gia đình, không bao giờ có thể trở thành một người đàn ông thực sự
Katılım Ağustos 2019
357 Takip Edilen13 Takipçiler
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My portfolio is now open source
I’ve released the source code behind my portfolio redesign 👀
→ github.com/davidhckh/port…
→ david-hckh.com
Built with @threejs @greensock #lenis and a lot of love for smooth animations ✌️
#javascript #opensource #webdesign
English
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How I built with Lovable 👇
1. Start with midnight blue + soft sand feels cinematic instantly
2. Tell Lovable to make it a single scroll page with scene transitions
3. Add a lone figure walking through a dreamy 3D landscape
4. Each scroll section reveals a new sleep science fact
5. Use CSS fluid shapes for organic background movement
6. Wide spacing + slow fade-ins let the content breathe
7. Deploy in one click no code, no agency, no $10k budget
FHILY👑@Oluwaphilemon1
This was created with Claude+higgsfield Prompt 👇
English
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全网催爆的设计工作流来了!从单个 IP 出发,延展出整套品牌视觉 + APP 全界面设计!先用 Image2 生成高品质 UI 界面、APP 页面、运营活动页,再由 Codex 精准复刻视觉稿,最后用插件生成可直接落地的 Figma 设计稿
Paidax@xin_pai88825
搞了一套我觉得超好用的工作流,让 AI 稳定生成高质量的 APP 界面和运营活动页,并且可导入 Figma 编辑!
中文
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10 repos that mass replace a $100,000/year football analytics department. all free. all open source.
github.com/zostaff/footba… -> replaces Hawkeye and Second Spectrum YOLO tracks every player and ball from any broadcast. assigns teams by jersey color. calculates speed, distance, possession. from a TV feed. no sensors.
github.com/ronyka77/Socce… -> replaces entire quant sports desk stacked ensemble: LightGBM + XGBoost + Neural Networks + Random Forest. scrapes FBRef automatically. ELO with dynamic K-factor. Poisson xG. MongoDB backend. the most complete open-source football prediction pipeline on GitHub.
github.com/kochlisGit/Pro… -> replaces paid prediction platforms ($30/mo) full GUI app. 7 ML algorithms. downloads data from football-data. co. uk. predicts upcoming fixtures. exports to Excel. one click.
github.com/msoczi/footbal… -> replaces manual feature engineering XGBoost with 354 hand-crafted features. works for any European league. data straight from football-data. co. uk. plug and predict.
github.com/silasnevstad/F… -> replaces value bet scanners ($50/mo) ELO + expected goals + offensive/defensive ratings. compares model probability vs Vegas lines. flags when you have edge.
github.com/ratloop/MatchO… -> replaces bookmaker calibration tools Gradient Boosting tuned to output probabilities that match real bookmaker odds. not just accuracy - calibrated confidence.
github.com/ML-KULeuven/so… -> replaces StatsBomb xG subscription xG model from KU Leuven researchers. LogReg + XGBoost pipelines. supports Wyscout, StatsBomb, Opta data. academic grade.
github.com/bsobkowicz1096… -> replaces xG analytics dashboards xG on StatsBomb open data. SHAP explanations for every prediction. proper calibration. tested on FIFA World Cup 2022.
github.com/Amar0302/Footb… -> replaces basic prediction models Poisson distribution for goal simulation. the classical approach that still beats most ML models on draw prediction.
github.com/douglaspsteen/… -> replaces Premier League prediction services XGBoost + AdaBoost + SVM on EPL data. detailed EDA. confusion matrices. honest 56% accuracy - because football is hard.
like + bookmark you'll need this when you build your first football prediction bot
zostaff@zostaff
English
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How to create this kind of video game interface animation with GPT Image 2 and Seedance 2
why is it possible now thanks to GPT Image 2?
This model is really good in terms of details and design interface. Also, this model allows you to rework multiple times an image without damaging the quality
let me share my workflow👇
INK@0xInk_
Just created my own AAA game with GPT image 2 and Seedance 2
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got a lot of messages asking about the prompt so dropping it here ↓


David@justddev
chatgpt images 2.0 is insanely good you can literally design your entire app with one prompt shipping ugly is a choice now
English
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I don’t usually overreact to AI hype, but GPT Images 2.0 is actually insane. I got this landing page sketch for Inkdrop from a one-shot prompt that included summaries of my app concept, the new features in v6, and my recent blog posts about Japanese culture. I never imagined web design could become like this. It’s so funnnnn.

English
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ChatGPT Images 2.0 is another level
Created a multi-page brand kit for personal brand
@ChatGPTapp

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