melanie 🐾

58 posts

melanie 🐾

melanie 🐾

@melauedb

18 🧊 looking for a content partner this week 🌶 I only respond here ⬇️

Katılım Kasım 2024
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Law Of Attraction Coach
Law Of Attraction Coach@manifestpower4X·
Finally🥳😎 ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ Finally… ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ …Money is coming!💵💰 ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ ︎ and You'll become Super rich…💵 All in 2026 Drop 555 to Claim it!!
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Elizabeth
Elizabeth@alluringmedia·
Elon Musk and every other tech billionaire oligarch will gleefully and happily replace you with AI at your job. They want to replace teachers, doctors, lawyers, blue collar workers, engineers, general and operations managers, scientists, retail workers, and YES, even servers and bartenders with AI robots. Yet people in this country are cheering on and worshipping Musk, all because he's a billionaire. This country is so fucking stupid.
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Luana
Luana@LuanaGoriss·
Israel and the Jewish people are God’s work in progress. Be patient with Him.
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BZZR
BZZR@BZZROfficial·
OTAs are here and so is @NicholasMoreano! Follow him on BZZR.com and ALL social media platforms for some of the best Bears & NFL Coverage around! BZZR. All Sports. No Noise.
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Spivach
Spivach@0xSpivach·
this wallet spent $130k buying YES on every single team at the 2026 FIFA World Cup -> 1.7¢ entry = 58x if any team wins -> only one YES on Spain pays $340,000 -> already cashed France for $159k on $7.5k invested active positions: -> Spain YES: $59,326 -> Brazil YES: $42,594 -> England YES: $38,437 In less than 2 months, he managed to secure a $1,549,795 profit on low probability teams. buy everyone cheap, sell the survivors: the rest are free lottery tickets - that's what it's all about profile: @0x2a2c53bd278c04da9962fcf96490e17f3dfb9bc1-1772479215461?r=0xSpivach" target="_blank" rel="nofollow noopener">polymarket.com/@0x2a2c53bd278
Spivach@0xSpivach

this trader turned $438k into a potential $750k payout on the 2026 World Cup he skipped the guessing and bought YES on 40+ countries here's how it actually works: → bought England at 4.4¢, now trading at 11.3¢ → bought Brazil at 3.6¢, now trading at 9¢ → bought Netherlands at 2¢, now trading at 3.5¢ → stacked 25+ longshots at 0.1-0.3¢ each (Iraq, Panama, Qatar, Jordan, and others) → closed NO on France the math is simple: if England wins → $696k payout on a $30k entry if Brazil wins → $749k payout on a $27k entry these longshots aren't the bet, they're just cheap options on chaos. the real edge was buying top favorites in late 2025 at 2-4¢ when nobody cared. both are now 2-3x when tournament hasn't even started. profile: @countryside?r=0xSpivach" target="_blank" rel="nofollow noopener">polymarket.com/@countryside?r…

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꓄ꀘ
꓄ꀘ@IamMammaai·
~...May The Light Of This Holy Day Of #Arafah Brighten Our Path ..& Strengthen Our Faith 💙 🤍 Answer The Deepest Prayers Of Our HEARTS Cleanse US Of Our Sins ..& Grant US Inner Peace 🤍 💙 May Lord Showers Endless Mercy Upon US ..& Have A Spiritually Uplifting #DayOfArafah...~
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Tesla Energy
Tesla Energy@teslaenergy·
Tesla Powerwall keeps your home powered during outages — day and night. A rebate is still available on your system.
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Xendurance
Xendurance@Xendurance·
Natural Performance Enhancing Testosterone Booster Raise your T levels or your money back
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Atlas
Atlas@crptAtlas·
This 1-hour MIT lecture on Time Series Analysis will teach you more about winning trades than 2 months at Citadel This is the mathematical foundation behind why most traders are right about the market and still lose money They run one signal, it works in one regime, it fails in the next, they never understood why The lecture explains why The article below shows how to fix it - combining 50 weak signals into one position using the 11-step combination engine that institutional desks actually run Watch the lecture first Then read the article
Atlas@crptAtlas

x.com/i/article/2055…

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Nitesh (prediction arc)
Nitesh (prediction arc)@nitesheth01·
turned $6 into $1,064 on a single bet +$1,699 in 24 hours profile: @0x3572?r=nitesheth01" target="_blank" rel="nofollow noopener">polymarket.com/@0x3572?r=nite… only 108 predictions sniping low-priced weather markets across cities buys at 0.8c–3c, lets resolution do the work small size, sharp entries, fast payouts
Nitesh (prediction arc) tweet media
Nitesh (prediction arc)@nitesheth01

polymarket trader turned $16 into $1,999 on a single weather bet joined april 2026 and already 400+ predictions in profile: @0x357?r=nitesheth01" target="_blank" rel="nofollow noopener">polymarket.com/@0x357?r=nites… focused only on city temperature markets biggest wins: $16 → $1,999 (12,000%+) $20 → $699 $38 → $546 strategy: sniping sub-10¢ YES shares on mispriced temps and holding till resolution tiny entries huge asymmetry

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Discover
Discover@0x_Discover·
An 18-year-old American found a roofing company on Google Maps with a 4.9 rating… …but no website. He copied their customer reviews, pasted them into ChatGPT 5.5… and 2 minutes later had a complete business description and project plan. Then he uploaded the data into an AI website builder and waited while the system generated everything automatically: • landing pages • customer testimonials • booking buttons • full branding • mobile optimization He called the owner and showed him the live website. The guy instantly agreed. Invoice? $1,000. Time from first Google search to closed deal? 47 minutes. Then he turned it into a fully autonomous system 🤯 Now AI pulls 200 businesses from Google Maps in 10 minutes and writes personalized emails for each one using their real business data. 500 emails/day. 3% reply rate. Results: Month 1: $4,000 After 6 months: $15,000–$20,000/month And the craziest part? There are still millions of businesses on Google Maps waiting for someone to contact them
Discover@0x_Discover

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI. Now he makes his director’s yearly salary in two weeks. $306,000 profit in the last month. Wallet:@0x06dc51826bc524d9a83770e7de9dd7e005b0452" target="_blank" rel="nofollow noopener">polymarket.com/@0x06dc51826bc… Copytrade t.me/KreoPolyBot?st… He replaced an entire quant team with Claude + 6 autonomous agents. Built his own ETH simulation engine. Each agent validates trades independently. Together they pull ~$15K/day. The system runs 24/7: collecting data running simulations tracking reactions remembering patterns All autonomous. Powered through MiroFish. Every trade is a cycle. Every dollar comes from inefficiency. He doesn’t predict the future. The math already knows it. He just reads the numbers first. Save this if you want to understand where trading is heading.

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Pretty Synn🖤
Pretty Synn🖤@SynnTooPretty·
The last hour of dis 10 hr shift draggin like a mfa ☹️
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İbrahim Beşinci
İbrahim Beşinci@ibrahim_besinci·
📍 8. Etnospor Kültür Festivali "Bizi bir arada tutan, köklerimizden süzülüp gelen ortak değerlerimizdir." Ata sporlarımızın asil ruhunu ve geleneksel kültürümüzü geleceğe taşıyan @etnospor kapılarını açtı. Gençliğin üreten gücü ve bitmeyen heyecanıyla biz de dört gün boyunca @tugvaTR olarak alandayız. 🙌🏻 Bu harika atmosfere ve yaşayan tarihe sen de ortak ol! 🎯 📆 21-22-23-24 Mayıs 📍Atatürk Havalimanı
İbrahim Beşinci tweet mediaİbrahim Beşinci tweet mediaİbrahim Beşinci tweet mediaİbrahim Beşinci tweet media
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Marktechpost AI
Marktechpost AI@Marktechpost·
Most vector search libraries make you train a codebook before indexing anything. That's not a search tool — it's a data dependency. turbovec just removed it entirely. It's a Rust-built vector index with Python bindings, built on Google Research's TurboQuant algorithm — a data-oblivious quantizer that requires zero training and zero data passes. Here's what's actually interesting: → 10 million documents: 31 GB as float32, 4 GB with turbovec — 16x compression at 2-bit → Beats FAISS IndexPQFastScan by 12–20% on ARM across every configuration → On x86, wins every 4-bit config by 1–6% against FAISS → Zero codebook training — add vectors, they're indexed immediately → Fully local, no data egress — drop-in for LangChain, LlamaIndex, and Haystack The core idea: after applying a random rotation, every coordinate follows a known Beta distribution — regardless of input data. That makes the quantization boundaries computable from math alone, not from your dataset. Full analysis with Guide: marktechpost.com/2026/05/20/mee… Repo: github.com/RyanCodrai/tur… #ai #python #aiinfrastructure #data #ml
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0xFacu.ETH
0xFacu.ETH@facumiranda23·
finally the interesting part is the why not the line catalyst-aware watchlists are the difference between chasing candles and seeing the setup before everybody else does #AI $EDG
DeFi Maria@MariaElenaRuiz9

Just noticed @EdgenTech tie my watchlist to catalysts now, not just charts the setup reads cleaner when the why shows up before the move #AI $EDG

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CPAC
CPAC@CPAC·
Join Martha Jenkins at the CPAC Women Warriors Summit, May 20-21, in Washington, D.C.
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