aka DefiBrian | fomo.family/r/SpiderCrypto0x | gmgn.ai/r/Spider | TG: @spidercrypto0x | spider trading journalπ
Joined August 2020
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I run a journal where I post all the coins Iβm looking at buying and do it all for free.
Come join and chat. I also have a group chat I do limited invites for so keep notifications on
t.me/spidersjournal
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Always a fan of clash of clans style games.
Bought some $SIEGE
HvBBPNYDgumNsdCJJSjqVC6VYDPpwrHsPsurUxmrpump
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In twelve months, EVERY company will be running a Company Brain.
The teams who build it this year will spend the next year compounding. Everyone else is going to play catch up.
Here's what it actually is. You connect your Slack, your GitHub, HubSpot, all your tools into one intelligence layer, then build the org chart around it: a main brain up top, a fleet commander running the agent fleet, specialist sub-agents handling execution.
The reason it works is change management basically disappears. Your team already lives in Slack. You're just adding agents to the room they're already in.
You NEED to start building yours now. In a year this will stop being an advantage and will become table stakes.
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SpiderCrypto π§βπ³π§² retweeted
Introducing the Fusion API, the smartest compound model in the market.
Fusion achieves Fable-level intelligence at half the price.
How it works π
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Now that he is a trillionaire. How can he use that money to kill the Woke Mind Virus.
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The next 50m runner is already here.
A narrative that lasts through bear markets and can be used anytime something catastrophic happens in the world.
A narrative that has been tried many time but hasnβt been done right yet.
Pumpfun shilled it using Ansem as the stock photo.
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Early on ethereum:0x893643f9e232e4e857f278d61641c955589a7a37
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Interesting uni v4 hook game.
Itβs called $plot
0x7ea48e09937955cb2c6538b52bb3516974be20cc
We have seen gamification of pokemon gatcha but we havenβt seen gamification of defi in awhile.
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SpiderCrypto π§βπ³π§² retweeted
Jun 12
people are making fortunes in public markets. the best trades of the year have been buried in podcasts and research papers.
building paste.trade to surface trade ideas from the smartest minds in finance, in real time.
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This is a spacex tweet to see if a cumrocket spawns
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How do we get Ansem to buy $Fine
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Some of you said it still looks like AI slop, and I agreed, so I told Fable to "100x the design."
Here's what it did, and all the details on how.
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was simple in hindsight.
just hit all the keywords:
AI ROBOTICS FABLE Claude FEES
Was not sold the guy was building anything but now that I see this solana:9smMJxtru37j29w7pfcQZfpKXdsUohuDXqHFaLJcpump has possibilities.
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The @bankrbot team made good moves moving $CMEM to an ecosystem that can appreciate how well this startup is doing.
Bullish on @base and Ai startups
Jun 11
π $CMEM is starting to look like one of the clearest GitHub-stars asymmetry plays on Base right now.
~ The claude-mem repo tied to @Claude_Memory has already pushed past 81k GitHub stars, showing massive real developer attention around persistent memory for Claude Code and AI agents.
~ This is not just a random ticker narrative it is connected to an open-source product with real usage, forks, contributors, updates and a clean memory timeline UI.
π₯ The product itself hits a strong AI-agent pain point: memory, continuity and context compression.
~ Claude-mem automatically captures tool usage and sessions, compresses context with AI, then injects it back so agents can continue across chats without losing important history.
~ In a market obsessed with AI agents, infra that gives agents better memory can become a serious narrative magnet.
π¨βπ» The Bankr angle makes the setup even more interesting.
~ @Claude_Memory successfully claimed fees on @bankrbot for the official $CMEM token on Base after talking with the team, with the tx hash visible in the success modal.
~ Official CA: 0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3
~ And creator Alex Newman has publicly embraced the community token in the GitHub README as a growth catalyst.
π The asymmetry is the main alpha here: $GITLAWB sits around 30M valuation with roughly 28k GitHub stars, while $CMEM has around 81k stars and is still trading below 1M market cap.
~ That is nearly 3x the GitHub adoption at a tiny fraction of the valuation.
~ When the market starts pricing real open-source traction against current market cap, these mismatches can re-rate fast.
π With 81k stars, strong AI-agent utility, a visible builder, fresh Bankr claim momentum and continued shipping, $CMEM looks like a sharp high-asymmetry play.
~ Real dev traction low market cap Base AI narrative is the kind of setup that can get attention quickly.
~ DYOR / NFA.
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Lmfao solana:9smMJxtru37j29w7pfcQZfpKXdsUohuDXqHFaLJcpump
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Now that $cmem is finally on @base people might give it the proper attention it deserves.
100m annualized in fees saved is insane.
0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3
Jun 11
This is freaking me out!!
WE HAVE ~19k DAU β this is CMEMβs existing installed base, not new users!!!
~1,200 NEWWW installs today β one data point, but if it holds that's ~35k/month
~650 observations per active user per day β deep, habitual usage, not casual!!
~$300k/day in Claude API costs saved for users!!!!!!! ~$100M ANNUALIZED?? π€―
At $3/M tokens, the product saves the average active user ~$15.80/day.
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Another one of you just made $1,000 with one click on legendz.io
I'm telling you guys you should go take advantage of this
Every single person who deposits on legendz.io gets a 100% deposit match bonus up to $1,000
I'll give one of you $200 so you can go spin, comment your wallet and your legendz.io user ID below
If you've got the means definitely go deposit so you get this bonus. 100% match up to $1,000 is straight up crazy to miss
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Okay, we spent the past night all playing with Fable (didnβt sleep, lol).
If youβre using Fable like you used Opus, youβre probably using it wrong.
Opus was a break through because you could give it a task and its generation of the answer was probably pretty good. So if you knew what you were doing (letβs say frontend design) then it can get really good outputs with some tasteful prompts.
Fable is really good if you donβt know what youβre doing. The best way to use it is to essentially give it a problem, such as a major refactor or optimization problem, and just tell it to spawn up N-number of agents on different work trees to solve the problem. Have one Fable agent act as the reviewer and when the agents finish their work, whatever emerges as the best answer wins.
The reason this is powerful is youβre essentially having 50 150 IQ people try and solve the same problem. If 49/50 are unable to solve it, but 1/50 comes up with the solution, then you have accomplished what you set out to do β which is have a novel insight or breakthrough that you, as the prompter, were not privy to.
This is essentially what the Anthropic team is trying to codify with β/loopβ and β/goalβ but the way they communicated it was a bit overcomplicated.
Hard problem -> spawn agents to solve -> have other agent pick best answer -> repeat.
If you do this, youβll see the full power of Fable.
Happy hacking!
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What a come back for the knicks holy shit
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