Joined January 2026
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India produces world-class Web3 devs. Most of them will never build a funded company. Here's why — and what we're doing about it 🧵
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//Hey //MAN I KNOW you ARE BUILDING SOMETHING FOR PAYMENT INFRA , AM I RIGHT ??
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CodeQuity retweeted
Jun 13
For early-stage founders raising pre-seed: These funds write first $250 to $500K checks 👇 • @fdotinc — San Francisco • @HustleFundVC — San Francisco • @BoostVC — San Mateo • @outlandervc — New York • @rightsidecap — San Francisco • @ldvcapital — New York • @ChargeVC — New York • @AforeVC — San Francisco • @forumventures — New York • @pearvc — Menlo Park • @redbudvc — Columbia • @2048vc — New York • @PrecursorVC — San Francisco At this stage it's really about the founders, personally i'm in @fdotinc 's program, if you're interested join my discord below.
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CodeQuity retweeted
How This Under 30 Is Capitalizing On The $100 Billion Video Gaming Boom forbes.com/sites/alexyork/20… (Photo: Courtesy of Lazarus)
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🫡 Xiaomi launches free Claude Code alternative @Xiaomi released MiMo Code, a free terminal AI agent for programming built on OpenCode with an MIT license. It handles long tasks of hundreds of steps by saving to avoiding memory loss common in other agents.
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MiMo Code divides memory into four levels: session notes, project knowledge, user settings, and full action history. It cleans duplicates weekly and converts repeated actions into skills monthly.
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its a new drop we will soon , something T T T T T T T T
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🤖 @OpenAI and Anthropic Subscriptions Unprofitable SemiAnalysis tested OpenAI and Anthropic subscriptions by running long tasks to use weekly limits. The $20 OpenAI plan delivers about $700 in token value, the $200 plan about $14,000. #anthropic #subscribe
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Anthropic’s $100 plan shows $2,000 in token costs, revealing heavy losses across tiers. Both companies offer fixed-price subscriptions with variable token usage depending on tasks.
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OpenAI’s plans lose money below 15% usage, Anthropic below 20%. The priciest plans show the worst margins: ChatGPT-pro-20x hits -775% at 50% load, Claude-max-20x -400%. This may limit startups to API-only access instead of adding new subscription features.
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CodeQuity retweeted
GM ☕️ Keep building in web3 good times are coming :)
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🤖 Anthropic launches Claude Fable 5 and Mythos 5 Anthropic released Claude Fable 5 and Mythos 5. Claude Fable 5 is a Mythos-class model with cybersecurity protections for broad use. It leads on nearly all benchmarks in code, analytics, vision, and science, widening its lead .
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Mythos 5 is the same model without security limits, available only to Project Glasswing members. Both cost $10/$50 per million tokens, less than half the price of Mythos Preview. Stripe migrated 50 million lines of Ruby code in a day using these models, a task took months before.
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Hello @eulerfinance ecosystem 😇
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CodeQuity retweeted
Replying to @brettcalhounn
Yes that's true but VC's still lacks to connect with founders , so we are bridging them ! Check us at codequity.live ! Currently onboarding investors and founders to use our beta product !
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JUST IN: 🇺🇸 Coin Center Director of Policy advocates for a de minimis tax exemption on Bitcoin transactions to lawmakers 👀 "The de minimis exemption should go further to cover some of these assets like Bitcoin, where there is a very real economy for using it."
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CodeQuity retweeted
Everyone is building AI. But investors aren't backing every AI startup. Capital is concentrating around a few high-conviction categories: • AI Infrastructure • Vertical AI • Agentic AI • Defense & Security • Robotics & Physical AI • Climate & Sustainability AI The takeaway? The next wave of winners won't be the founders building the most AI. It'll be the founders solving the hardest problems with AI.
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Thank u CoinGecko ,Will Show u real result soon
gm bro how are you?
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📉 Strong Jobs Report Triggers a Market Selloff The U.S. added 172,000 jobs last month, about 2x above expectations. Markets reacted by pricing out Fed rate cuts and even started betting on a possible rate hike by December.
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Wage growth slowed to 3.4%, yet the headline number was enough to change expectations for Fed policy and erase more than $1 trillion in market value. A strong jobs report became a problem because markets were positioned for lower rates.
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