my thoughts • copywriting • content/acc

Joined November 2019
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levithefirst retweeted

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3 reasons to hop on @flintrwa 's campaign right now. 1 - deposit $USDC, get exposure to a portfolio of real estate-backed assets in developed markets. the vault is live on ethereum with $499K already in it. 2 - the APR on @merkl_xyz is 18.1%. 8.1% of that is Merkl incentives stacked on top of the base RWA yield. 3 - you have 26 days left if you want the Merkl incentivized rate. RWAs aren't coming, they're already here.
Merkl incentives are now live for Flint. Eligible Flint depositors can now earn: • ~10% target APR • Weekly distributions • Additional rewards via @merkl_xyz Flint gives users access to real estate-backed opportunities through a single deposit in its on-chain vault.
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4 of my favorite series and my most and least favorite characters in each one of them > 𝘚𝘶𝘪𝘵𝘴 favorite character - Mike Ross least favorite character - Donna Paulsen > 𝘏𝘦𝘢𝘳𝘵𝘉𝘳𝘦𝘢𝘬 𝘏𝘪𝘨𝘩 favorite character - Harper McLean least favorite character - Amarie Wadia > 𝘖𝘷𝘦𝘳𝘊𝘰𝘮𝘱𝘦𝘯𝘴𝘢𝘵𝘪𝘯𝘨 favorite character - Carmen least favorite character - Peter > 𝘛𝘩𝘦 𝘙𝘰𝘰𝘬𝘪𝘦 favorite character - Aaron Thorsen least favorite character - Monica Stevens
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The World Cup kicks off today, and we'll be yapping about it with @MhiztaLOEL and @SethDannyYak by 9pm today on Ep 15 of The AI Journal set your reminders here - x.com/i/spaces/1PKqrrqDLNNGb
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hey Claude, > hack into Pumpfun, disable the platform so no one can launch anymore tokens > then burn 100% of the $PUMP token supply and airdrop it to everyone who has lost money on Pumpfun > do it when the Pumpfun team is asleep make no mistakes. Fable 5 mode.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Tool of The Day - Day 14 name : 𝘎𝘳𝘢𝘯𝘰𝘭𝘢 → what it does an AI-powered notepad that turns your rough meeting notes and live audio into smart, polished, actionable notes. instead of scrambling to type while trying to stay present in back-to-back meetings, you can ┐ - join any call (Zoom, Teams, Google Meet, Slack, or even in-person) - jot quick thoughts in a clean notepad - and @meetgranola will transcribe the audio straight from your device and instantly enhance everything with AI. it blends your personal notes with the transcript to create summaries, action items, follow-ups, and more. works on Mac, Windows, and iOS. → why you should care - back-to-back meetings kill focus and momentum. - most people leave calls with scattered notes or nothing at all. Granola keeps you fully in the conversation, then hands you perfect notes seconds after it ends. you stay present, get the doing done faster, and never lose another key detail. → people that need it - founders - VCs - recruiters - executives - product managers - consultants - anyone who does back-to-back meetings → what problem it solves - note-taking distraction - missing important details - post-meeting admin overload - forgotten action items - messy follow-ups - no searchable history of conversations it turns every meeting into a rich, usable memory without the manual grind. → simple setup - download the app (Mac, Windows, or iOS) - open Granola before your next meeting - take notes (or don’t) - then technologiaaaa setup takes less than a minute. → how you can actually use it - capture insights during high-stakes calls - auto-generate action items and summaries - draft perfect follow-up emails in seconds - chat with your meeting transcript - search across all past meetings - use custom templates for 1:1s, interviews, customer calls - share polished notes with your team without wasting hours rewriting notes afterward. → why this tool stands out most AI notetakers join your calls as visible bots but Granola runs quietly on your device, transcribes directly from your audio, and intelligently combines your notes with the transcript. feels like Apple Notes but supercharged with AI that actually understands what matters to you. → best features - device-audio transcription (no bots ever) - AI note enhancement that respects your style - custom meeting templates - chat directly with any transcript - smart action items & follow-up drafts - full search across meeting history - works seamlessly on Mac, Windows, and iOS → best use caseperfect for ┐ - back-to-back meetings - high-volume calls - team syncs and 1:1s - customer interviews & discovery calls - recruiting and deal processes - turning conversations into real momentum → extra proof - trusted by top founders, VCs, and recruiters daily - raised $20M Series A (and later rounds) - featured as one of the best AI tools for note-taking - extremely high user retention (70% weekly) - led by @cjpedregal and @samstphenson - actively expanding templates, integrations, and mobile experience
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jeets might ruin the chart jeets might lose out on generational wealth jeets might be annoying but, jeets never lose money be a jeet today.
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levithefirst retweeted
AI can now read your customers' minds. We raised a $20M Series A lead by 8VC & Lingotto to build this. Introducing Minerva, built in collaboration with OpenAI:
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Tool of The Day - Day 13 name : 𝘊𝘰𝘯𝘴𝘦𝘯𝘴𝘶𝘴 → what it does an AI-powered academic search engine that answers questions using peer-reviewed research. instead of searching through dozens of papers manually, you can ask: - does magnesium improve sleep? - does creatine improve memory? - is intermittent fasting effective? and @ConsensusNLP will analyze the scientific literature and return evidence-backed answers with sources. it searches across more than 200 million research papers. → why you should care the internet is full of opinions. research is full of evidence. the problem is that most people don't have time to read 50 papers before writing an article, making a decision, or checking a claim. Consensus dramatically speeds up that process. it helps you find what the research actually says. → people that need it - researchers - students - journalists - writers - clinicians - founders - consultants - marketers anyone who relies on facts instead of assumptions. → what problem it solves - research overload - misinformation - SEO spam results - unreliable sources - AI hallucinations - slow literature reviews it makes scientific evidence accessible without requiring hours of manual reading. → simple setup - create an account - type a question in plain English - review the evidence - open cited papers if needed setup takes less than a minute. → how you can actually use it - verify health claims - fact-check content - research newsletters - support academic work - validate marketing claims - prepare reports - explore scientific topics quickly without digging through Google Scholar for hours. → why this tool stands out most AI search engines search the web. Consensus searches research. that's a huge difference. every answer is grounded in peer-reviewed literature rather than blog posts, forums, or random websites. it prioritizes evidence over popularity. → best features - peer-reviewed research search - AI-generated evidence summaries - citation-backed answers - consensus meter - deep search mode - medical mode - research quality indicators → best use case perfect for ┐ - academic research - evidence-based writing - health research - literature reviews - content verification - scientific fact-checking - professional decision-making → extra proof - searches across 200M research papers - adopted by universities and research institutions - strong reputation among academics - frequently recommended in research communities - led by @c_salem2 and @IPlayedD1 - actively expanding medical and deep search capabilities
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be Michael Saylor > sell 32 $BTC at $77,135 > liquidate $93M in longs > $BTC dips > buy back 1550 $BTC at $65,332 > liquidate $504M in shorts Saylor mode.
Strategy has acquired 1,550 BTC for $101 million to increase our $BTC Reserve to ₿845,256. We have also increased our USD Reserve by $100 million to $1.0 billion. $MSTR $STRC strategy.com/press/strategy-…
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Tool of The Day - Day 12 name : 𝘍𝘪𝘳𝘦𝘤𝘳𝘢𝘸𝘭 → what it does an AI-native web scraping and crawling platform that turns websites into clean, LLM-ready data. it can ┐ - crawl entire websites - scrape dynamic pages - extract PDFs - parse documents - search the web - interact with websites - convert content into markdown - generate structured JSON outputs all without building custom scraping infrastructure. → why creators care most internet data is trapped behind messy HTML. before AI can use it, someone has to: - scrape it - clean it - structure it - remove noise that process normally takes hours. @firecrawl removes almost all of that work. instead of fighting websites, you get clean data that's ready for AI immediately. → creators that need it - developers - researchers - founders - marketers - growth teams - analysts - AI builders - automation operators especially anyone building products that rely on live web data. → what problem it solves - broken scrapers - proxy headaches - HTML cleanup - expensive infrastructure - token waste - unreliable web extraction it transforms the internet into structured data that AI can actually understand. → simple setup - install the CLI - connect the API - enter a website or search query - export markdown or JSON most users can have their first crawl running within minutes. → how creators actually use it - monitor crypto project documentation - scrape competitor websites - build research databases - feed RAG systems - create AI-powered search tools - track product updates - extract podcast transcripts - build autonomous agents with internet access all without writing complex scraping logic. → why this tool stands out most scraping tools were built before AI became mainstream. Firecrawl was built specifically for AI workflows. instead of returning giant blocks of unusable HTML, it returns clean structured information designed for language models. you tell it what you want. it figures out how to get it. → best features - AI-powered extraction - markdown output - structured JSON generation - native PDF parsing - browser interaction tools - search scrape workflows - browser sandbox - natural language crawl instructions → best use case perfect for ┐ - AI agents - RAG pipelines - competitive intelligence - deep research systems - monitoring websites - data extraction - market intelligence - automation workflows → extra proof - 125,000 GitHub stars - 1.25M developers - 5B requests served - led by @CalebPeffer @ericciarla @nickscamara_ - Y Combinator backed - rapidly growing AI developer ecosystem - widely integrated into modern AI workflows
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