Antek Hryniewiecki 🧜‍♀️

146 posts

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Antek Hryniewiecki 🧜‍♀️

Antek Hryniewiecki 🧜‍♀️

@antoni_eth

Building an amazing dev community @ETHwarsaw

Katılım Kasım 2009
181 Takip Edilen483 Takipçiler
Antek Hryniewiecki 🧜‍♀️
@Austin_Federa @gumsays You’re buying TMBs on Solana (Trust Me Bros) “Any sale or transfer of Anthropic stock, or disposition of any interest in Anthropic stock, that has not been approved by our Board of Directors is void and will not be recognized on the company’s books and records.”
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M-log1
M-log1@log1_053·
Remember when all the 4 year cyclist who told you we are bearmarket soon will tell you that it was a speed bearmarket and they've been right nonetheless.
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M-log1
M-log1@log1_053·
Added a couple words to the ignore list. Fucking tired of all of em.
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andy nguyen
andy nguyen@kevinnguyendn·
Build Your Own Autonomous Local Agent Stacks That save 83% on token costs and give your agents 92% long-term memory retention. This guide helps you set up a fully local and private autonomous stack. This means your data stays on your machine, your agents don't forget their tasks, and you stop paying for expensive cloud API tokens. The Stack Components: 💪The Execution Agents: OpenClaw (2026.4.12)/ Hermes → run the actual tasks and scripts on your computer. 🧠The Brain (Local LLM): Gemma 4, Z.ai’s GLM-5.1, and Qwen 3.5 → able to handle complex tasks like coding, media generation, or researching 🤖The Memory Engine: ByteRover (3.3.0) → filesystem memory that connects natively with your tools and keeps context organized Hardware Requirements - For this experimental setup, we run on Mac M4 Pro, RAM 24GB (ByteRover and autonomous agents can run on a Apple RAM 24GB machine) - For production usage we recommend at least an Apple M4 with RAM 48GB. Step 1: Downloads the local LLM models You will need two specific models to balance performance and memory efficiency: - Gemma 4 E4B (Q4): This is for OpenClaw to handle reasoning. (Uses ~8.7 GB RAM) - Qwen 3.5-9B (Q8): This is for ByteRover to manage your data. (Uses ~10.5 GB RAM) On a 24 GB machine, both models fit in memory simultaneously. Gemma 4 E4B at Q4 uses ~8.7 GB and Qwen3.5-9B at Q8 uses ~10.5 GB. Step 2: Load Both Models in LM Studio Open LM Studio and load both models simultaneously. On a 24GB machine, these will fit together, leaving just enough room for your system to run smoothly. Step 3: Configure Your Agent Whether you choose OpenClaw or Hermes, the setup is the same: - Point the agent to your local LM Studio endpoint. - Adjust Memory: By default, OpenClaw handles 50,000 tokens. To change this, edit your openclaw.json file and run openclaw gateway restart to apply the update. Step 4: Connect ByteRover Memory Finally, set up the ByteRover CLI: - Link it to the same local endpoint. - Select the Qwen model as the primary memory handler. The Result: You now have a persistent AI assistant that remembers your project details across different sessions. Everything stays local, with Cloud option if you ever need to collab with your teams Detailed guide for each step 👇
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Jacky Chou (buying online businesses up to $1m)
REPEAT AFTER ME This is what happens when you blast a site with over 3k LISTICLES Zero traffic from Google 1.4m impressions from CHATGPT (srs) Comment INDEXCHEX + like this post and I'll DM you the full SOP (must be following)
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Dominik
Dominik@q_dome·
na te "appki" PKP Informatyka poszły grube pieniądze a teraz zostały im po prostu wyłączone serwery...
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Antek Hryniewiecki 🧜‍♀️
@patrykmichalski Pewien właściciel czeskiego przewoźnika ma długą historię wywierania wpływu na polityków i konkurencję za pomocą SMSów, billboardów, reklam na autobusach w celu osiągnięcia celów biznesowych.
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Patryk Michalski
Patryk Michalski@patrykmichalski·
Myślę, że po dzisiejszym tekście „PKP Intercity, czeski konkurent i "niepokojące" wiadomości w ABW. Oto kulisy rywalizacji o polskie tory” nadejdzie kontynuacja. Pytania o kreta czeskiej firmy padają dziś w wielu miejscach. A wszystko za sprawą wiadomości na WhatsAppie od właściciela RegioJet. Polecam mój tekst w @wirtualnapolska: wiadomosci.wp.pl/pkp-intercity-…
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Antek Hryniewiecki 🧜‍♀️
Milton Friedman said there is no such thing as a free lunch... Well, let me tell you: Not only did I have a blast at @ETHWarsaw, but I also had a delicious lunch AND won a Raspberry Pi #web3pi! Thanks @golemproject, setting up my node now. Milt - eat your heart out!
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Antek Hryniewiecki 🧜‍♀️
@0xBoxer Checking off all the boxes! Spent the last couple of weeks on flipside building queries, dashboards, python scripts to analyze onchain data. Dune seemed a quite daunting for a self learner. Would love to level up my skills and provide more value to projects & communities.
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Boxer
Boxer@0xBoxer·
I am looking for 3-5 people who are serious about wanting to learn Dune. DM me if you are interested. I will personally mentor you and get you to a level at which you can pick up freelancing jobs or try to apply for positions. I will be available for you in some sync calls and through telegram chats. I am trying to find out where the problems within Dune's onboarding are and you will be my guinea pigs. Send me your motivation and some context about you - I will do screening calls to find people who fit. Picking up Dune can be a long journey, but I estimate that picking up the basics and becoming somewhat proficient takes 4 weeks or so. I would prefer people who need Dune for an existing job or have a proven track record of working in public or contributing to protocols. You need to be willing to jump on video calls with me. You need to be willing to work in public. You don't need to be an absolute beginner either, happy to take you from 20-80 or from 0-70 either way.
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Antek Hryniewiecki 🧜‍♀️
Looking for a dev to help me build an automation through a straightforward api. DMs are open :)
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Mattyk
Mattyk@cryptomattk·
60% of you said you don’t have the notification bell on for me. What type of content would you like to see more to press that 🔔?
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paulina joskow
paulina joskow@juchenek·
very important question: is there an emoji for blobs already?
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