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____________ [ ME:I "Click" MV ] ____________ ME:I Debut Single "MIRAI" ⇱ 2024.04.17 #ME_I_Click# #ME_I_MIRAI# #ME_I# #ミーアイ# #미아이# #ME_I_DEBUT_0417#
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ME:IさんのClick踊りました!🤍🤍
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The top Hermes integrations to give your agent superpowers: 1. Firecrawl Basically web search built for agents. It's better than the native Hermes web search because it gives you clean web data, so responses come back faster and uses fewer tokens. I keep this on by default. 2. Browserbase Gives Hermes browser access for actually interacting with sites. Logging in, clicking buttons, booking stuff, anything that needs a real browser session. Hermes will automatically pick between Firecrawl and Browserbase depending on what the task needs, so you just plug both in. 3. Google Workspace Gmail, Calendar, Drive, Docs, and Sheets in one connector. If Hermes can't read your inbox, see your calendar, or write to your docs, it can't really work for you. Plug this in first. 4. Reddit The best signal you'll find on what people actually think about any product, niche, or problem (bc its real opinions from real users) Amazing for market research. 5. YouTube transcripts Pulls captions from any video. Long podcasts, tutorials, interviews etc become searchable notes in seconds. Probably the highest-leverage research integration nobody plugs in. 6. Discord I host my business in Discord, so this one's huge for me. I plug Hermes into different channels and have it run specific workflows in each. Example: I have a dedicated customer support channel where Hermes scans my email every morning for support tickets and drops them in organized. 7. GitHub Code, issues, PRs. Turns Hermes into an actual engineering teammate. Non-negotiable if you write code. 8. Stripe Payments, customers, failed charges, refunds. You can just ask "why did this customer churn" and get a real answer. Also can't wait for this...Stripe is releasing agentic payments, so soon Hermes will be able to actually book stuff with your card. 9. Bland (or Twilio) Gives Hermes a voice so it can place real phone calls (like booking reservations etc). I love listening to the recordings haha 10. Apify Pre-built scrapers for X, LinkedIn, Instagram, Google Maps, etc. The way to get X data without paying $5k/mo for the official API. 11. Readwise Every highlight you've ever saved from books, articles, tweets, and podcasts, all queryable. Solves the "dead knowledge" problem. 12. Granola (or Fathom) Searchable transcripts of every meeting you've had. Hermes can answer "what did that client say about pricing last month" instantly. 13. Obsidian For Karpathy LLM wiki second-brain maxxing. If I had to set up only 5, I'd do Firecrawl, Browserbase, Google Workspace, GitHub, and Obsidian. Covers ~80% of what most people need. I use Composio to add these in one click, makes setup basically zero effort instead of messing w technical stuff. Anything I'm missing?? What's in your stack?
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Understanding, accepting, and working with reality is both practical and beautiful. I have become so much of a hyperrealist that I’ve learned to appreciate the beauty of all realities, even harsh ones, and have come to despise impractical idealism. Don’t get me wrong: I believe in making dreams happen. To me, there’s nothing better in life than doing that. The pursuit of dreams is what gives life its flavor. My point is that people who create great things aren’t idle dreamers: They are totally grounded in reality. Being hyperrealistic will help you choose your dreams wisely and then achieve them. By interacting with my digital twin, you can evaluate your own decision-making processes and evolve your approach in real-time. The faster you evolve, the faster your results will follow. Click the link below/in my bio to start our comversation now. #principleoftheday#
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Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.
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Today, I want to share something that happened to me on Kraken. I’m completely new to crypto, and this was my first time using Kraken. All I wanted to do was convert USDC into USD. Unfortunately, because USDT and USD differ by only one letter, I accidentally selected USDT instead of USD. I didn’t realize my mistake until the transaction had already been completed. In less than a minute, a single misclick resulted in a loss of approximately 810 USDT—more than $800. To be honest, I was shocked and devastated. Like many newcomers, I assumed that all major stablecoins were worth roughly the same, so converting between them would involve little or almost no loss. I never imagined that such a simple mistake could instantly cost me more than 1% of my funds. I immediately contacted Kraken Support, hoping they would understand that this was an honest human error and review my case, or at least consider making a one-time exception. What disappointed me even more was that almost every response came from AI. I was never able to speak with a real support agent. The only explanation I received was that the transaction had already been executed, the conversion details had been displayed before confirmation, and therefore nothing could be reversed or refunded. I understand that Kraken may not have violated its own rules, and I acknowledge that the final amount I would receive was displayed before I confirmed the transaction. But I believe that “the information was displayed” does not necessarily mean “a new user truly understands what it means.” As a beginner, I saw what I believed was a normal stablecoin conversion. I had no idea that the number shown on the confirmation screen meant I was about to lose more than $800. If a platform expects users to recognize an $800+ pricing difference on their own, instead of proactively warning them that the conversion is unusually unfavorable, I don’t believe that’s a user-friendly experience—especially for beginners. I believe that a platform responsible for customers’ assets should do more than simply display numbers. It should also be designed to help users avoid obvious mistakes that can lead to significant financial losses. Crypto is already complicated enough. The risks users take should come from the market—not from a product design that makes such costly mistakes so easy to make. This experience has left me deeply disappointed and has almost completely destroyed my trust in Kraken. I’m not trying to deny Kraken’s rules, and I’m not asking for special treatment. I’m simply asking @kraken and @krakensupport to review my case, seriously consider improving the user experience, provide real human support when genuine mistakes happen, and consider a one-time resolution for customers who make an honest human error. If this could happen to me, it could happen to any newcomer entering the world of crypto. I hope my experience helps others avoid making the same mistake. Please double-check every click. @krakenfx @krakenpro @krakensupport
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Computers don't need to be so complicated to use! I added voice to a realtime generative image system and it feels so natural. I just talk, it talks back, shows me whatever is helpful, and I can still click on anything to go deeper
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You are still scanning charts one by one. Claude did it in just 14 seconds. No clicking. No switching tabs. No manual work. One prompt was enough: "Find every BTC futures contract with RSI below 30 and volume above 200%." Claude instantly: → Found 6 matching BTC futures contracts → Opened all charts side by side → Drew key support levels automatically → Started Pine Script backtests → Marked entry zones in green Then came the replay test. Replay the last 7 days and show every valid entry based on my strategy. Claude switched modes automatically. Scanned every candle. Marked 9 historical entries. Backtest result: → $4,780 profit → 83% accuracy Backtest only. Not live trading. Next test: Build a momentum oscillator that tracks whale activity against price direction. 40 seconds later... The custom indicator was built and added to the chart. Most traders spend hours doing this manually. Claude does it in about 90 seconds. It scans hundreds of contracts. Draws support and resistance. Runs backtests. Marks entry zones. Your trading strategy doesn't change. The execution becomes almost instant. Want the complete setup? 1. Comment BTC 2. Like & repost this 3. Follow me @codewithimanshu so I can DM you the full guide. Save this post and automate your chart analysis.
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I had to click on the video because this thumbnail kept haunting me. Damn you Tectone. This is so CURSED.
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Get a video call with me today baby - I’m available all day! Click the link 🐆Text me NOW on sext panther🐆
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