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Apr 3
Starting DataClean — project 5/30 🧹 80% of ML work is cleaning data. Nobody talks about this. Upload any messy CSV → get a clean one in seconds: → Missing values fixed → Duplicates removed → Outliers capped → Visual before/after report Next.js Python FastAPI Supabase Redis Shipping in 6 days.
Mar 26
Starting TabExplain — project 4/30 Most ML models fail not because of bad architecture. Because nobody actually understood the data before training. I've seen this firsthand while working on my own research papers. You upload a CSV, train a model, get bad results. Then realize 3 days later your data had 40% missing values in the most important column. Building the fix. Upload any CSV → get a full interactive analysis dashboard: → Missing values heatmap → Outlier detection per column → Correlation matrix → Distribution charts → AI plain English summary of what your data actually means Built for researchers and ML engineers who want to understand their data before they touch a single line of model code. Stack this time is different: Next.js Python FastAPI Groq Supabase WebSockets Redis Real infrastructure. Not just a wrapper. Day 1 done. Setup complete. Hit a dependency conflict with supabase and httpx but fixed it. That's just how it goes. Shipping soon.
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Replying to @boringmarketer
Great framework, thanks for sharing. I tried it for one of the products I'm ideating. Got this👇 Headline: "Drowning in data? Stop manually fixing spreadsheets." Problem: "You spend 10 hours a week cleaning messy CSVs." Agitate: "That's 520 hours annually, lost to tedious, soul-crushing menial work. Imagine what you could build instead." Credibility: "Our AI tool, trusted by Fortune 500 data teams..." Solution: "...automates 90% of data prep. Effortlessly ingest, clean, and transform any data source in minutes." Proof: "Users report saving 8 hours weekly and cutting data error rates by 70%." CTA: "Reclaim your time. Try DataClean AI free for 30 days."
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3 May 2025
What if you could swap nearly any token, across almost any chain, instantly? 🤔 @infinex_app just turned that into reality and that’s only the beginning. Welcome to Next-Level Asset Freedom Whether you’re sending, stashing, or swidging tokens, Infinex opens the gates to thousands of assets across major chains. Just drop in a contract address or explore the growing universe in the built-in Token Explorer. Discover, Track, and Trade Smarter •Token Explorer: Hit “/” or tap the search to find tokens by name, chain, or even aesthetic. Real-time charts, 24H price movements, market caps, and volume dataclean and instant. •Cross-Chain Liquidity: deBridge brings deep cross-chain liquidity between Solana and all major EVM chains. •Berachain Support via OogaBooga: Infinex now supports swaps on Berachain thanks to OogaBooga—multi-chain just got weirder (and better). Swidge Gets Supercharged •Faster execution •Optimized routing •More chains supported Say goodbye to bridge anxiety and hello to seamless asset movement. Social DeFi = Infinex Connect •X (Twitter) Integration: Sync your social profile to your wallet. More than just a tag it’s your identity across the Infinex ecosystem. •Future updates will link your reputation, following, and activity directly into how you experience DeFi. Early Backers Get More Infinex is building the connective tissue for Web3’s fragmented world. One interface. All chains. Real control.
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#CleanOutYourComputerDay encourages everyone to take a moment to thoroughly clean the inside and exterior of their computers. Help prevent your computer system from crashing by making sure it’s clean inside & out. #PCHealth #DataClean
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Are you familiar with Data Appending? One of the most crucial things a company should always do to make sure that their data is super clean 🥳 #digitalmarketing #data #datacleaning #dataclean #dataprivacy #DataSecurity
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Melissa India wishes you a Happy Holi. May this Festival of Colours bring health, happiness and prosperity to you and your family #holi2023 #holifestival #dataclean #dataquality #validation i.melissa.com/3KZy4dV
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24 Sep 2022
Hiring Web Scraping Python Specialist - WFH (6 months to 4 Yrs) (#Freshers with Web Scraping Exp can apply) Salary: 2.5 to 5 lac INR LPA No of positions: 5 No Industry: Automation/Data Processing #dataanalytics #dataanalyst #dataclean #datascience #python #workfromhome #hire
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No es posible dar valor a los datos si estos están "sucios". Limpiar los datos nos ayuda a perder tiempo en análisis defectuosos y cometer errores en nuestras conclusiones. #dataclean #datastrategy #datadriven #Analytics lnkd.in/egNpNvps

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19 Jul 2021
Knowing about data cleaning is very important. Read on to have a basic understanding of how Pandas and NumPy can be leveraged to clean datasets: bit.ly/36JSrGI #datacleaning #dataclean #datasets #data #pandss #NumPy #DataScience #python

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Data is more important than ever to inform action and drive change. It is starts with good clean data, so how was the first #theecongames data challenge? #teachecon #data #DataAnalytics #dataclean #economics #dataviz
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15 Sep 2020
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3 Jul 2020
When working with applications like #Microsoft #Dynamics365, one of the most predominant concerns is, “how do we keep our #dataclean?” ~lnkd.in/fqDPuB9 Are you in need of #DynamicsCRM Support? Contact us:~lnkd.in/e_ksy7T #datacleaning #datacleansing #powerbi
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