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New meta for meme coin success, @StalkHQ inclusive invite here: stalkchain.com/?af=shaketheg… #meta #Solana #solanamemecoin #success #outmackyourself2025
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shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
GOOGLE IS GIVING FREE ANTIGRAVITY ULTRA FOR 6 MONTHS 😳
how to apply
1. open the interest form
antigravity.google/use-cases…
2. add your institution email and lab page
3. include your ORCID or Google Scholar
4. explain your research in 3–4 sentences
what you get
• highest Antigravity usage limits
• Gemini 4 Argon access
• science plugin with 30+ life science databases
important
• only selected applicants get an email
• applications are reviewed weekly
• no guarantee of selection
who can apply
university students, postdocs, PIs, and researchers at nonprofit labs or national labs
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
THE BEST TUTORIAL YOU WILL EVER FIND ON X TODAY 😁
HOW TO REALISTIC AI VIDEOS | FULL TUTORIAL 🔥❣️
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
LO QUE ESTE TIPO SUBIÓ A GITHUB NO DEBERÍA SER GRATIS
una app que convierte tu móvil en un detector de vigilancia.
escucha las señales Wi-Fi y Bluetooth a tu alrededor y te dice qué hay cerca:
→ rastreadores escondidos
→ cámaras corporales de policía
→ drones, y dónde está el piloto
→ gafas inteligentes de Meta grabando
→ micrófonos de detección de disparos
reconoce hasta 242 tipos de dispositivos. y te avisa si alguno se mueve contigo.
sin cuenta. sin servidor. sin internet. código abierto.
os dejo el repo abajo.
Readers added context they thought people might want to know
Este texto es una copia casi literal de una publicación anterior de @CopyRebeldia sin atribución.
x.com/copyrebeldia/s…
x.com/liambraus/stat…
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
I can't believe I'm giving all this away...
The entire workflow, 13 prompts, and a full Claude skill to use for all the top video gen models
you're welcome
🤝 Paid partnership
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
Here are 8 design resources worth bookmarking:
1. jiro.build — 1,200+ design prompts
2. navbar.gallery — navbar inspiration
3. footer.design — better footers
4. cta.gallery — CTA inspiration
5. 404s.design — 404 pages worth seeing
6. unsection.com — ready-made sections
7. bentogrids.com — bento grid ideas
8. 60fps.design — premium motion details
These will give you inspiration.
But inspiration ≠ design skill.
If you actually want to learn, I’ve added FREE certification courses below that you can enroll in today:
1. Generative AI for Digital Marketing Specialisation
imp.i384100.net/7Xd0rO
2. Google Project Management Professional Certificate
imp.i384100.net/mO99a1
3. Entrepreneurship: Scaling & GTM Growth Strategy
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4. Copilot for Power BI
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5. Generative AI for Sales Professionals Specialisation
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8. Generative AI for Marketers Specialisation
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9. Microsoft 365 Copilot for Leaders Specialisation
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10. Microsoft Copilot: Your Everyday AI Companion Specialisation
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11. Introduction to Microsoft 365 Copilot
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12. Microsoft 365 Copilot: Personal Productivity for All
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13. Introduction to HTML, CSS, & JavaScript:
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14. Web Design for Everybody: Basics of Web Development & Coding Specialization:
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15. Build a Full Website using WordPress:
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17. Develop a Company Website with Wix:
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28. Generative AI for Digital Marketing Specialisation
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29. Google Project Management Professional Certificate
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30. Entrepreneurship: Scaling & GTM Growth Strategy
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31. Google People Management Essentials Specialisation
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35. Google SEO Fundamentals
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37. Get Started with Facebook Ads Manager
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38. Meta Social Media Marketing Professional Certificate
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39. Google Digital Marketing & E-commerce Professional Certificate
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40. Foundations of Digital Marketing and E-commerce
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Don’t just bookmark resources.
Use them while taking the courses and actually become good at the skill.
Follow @Mohiniuni for more!!
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
In 2008, Malcolm Gladwell explained why some people succeed and some don't in a single 1-hour talk.
This will permanently change the way you think about talent, effort, and success.
Bookmark & watch today, no matter what.
“☀️Manifesting Greatness” is live on Chatter right now 🎙️ Come listen in preview.chattersocial.io/roo…
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
this is pure f*cking treasure
20 useful GitHub projects for a system that captures sources, connects ideas, remembers context, and helps agents act on it
your second brain should get sharper after every session
CAPTURE THE INPUT
01 Chubby Skills
▸ github.com/chubbyguan/chubby…
02 OpenWiki
▸ github.com/kdsz001/OpenWiki
03 Agent Second Brain
▸ github.com/smixs/agent-secon…
04 DocMason
▸ github.com/JetXu-LLM/DocMaso…
05 DocsAgent
▸ github.com/docsagent/docsage…
CONNECT THE IDEAS
06 claude-obsidian
▸ github.com/AgriciDaniel/clau…
07 SwarmVault
▸ github.com/swarmclawai/swarm…
08 sage-wiki
▸ github.com/xoai/sage-wiki
09 Vault Curate
▸ github.com/notoriouslab/vaul…
10 COG Second Brain
▸ github.com/huytieu/COG-secon…
REMEMBER WHAT MATTERS
11 Hindsight
▸ github.com/vectorize-io/hind…
12 memU
▸ github.com/NevaMind-AI/memU
13 TencentDB Agent Memory
▸ github.com/TencentCloud/Tenc…
14 agentmemory
▸ github.com/rohitg00/agentmem…
15 OpenViking
▸ github.com/volcengine/OpenVi…
PUT IT TO WORK
16 Open Second Brain
▸ github.com/itechmeat/open-se…
17 Second Brain Cloudflare
▸ github.com/rahilp/second-bra…
18 makerskills
▸ github.com/coreyhaines31/mak…
19 Row-Bot
▸ github.com/siddsachar/row-bo…
20 MateClaw
▸ github.com/mateaix/mateclaw
the loop:
capture the source → turn it into linked, checkable knowledge → recall the right context → act with it → write the correction back
3 builds I'd explore:
creator: Chubby Skills → SwarmVault → Hindsight → makerskills
researcher: DocsAgent → sage-wiki → memU → Row-Bot
team: DocMason → COG Second Brain → TencentDB Agent Memory → MateClaw
save this, then build a second brain for your business ⭣
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
i dont understand why people are not using JEV skills
20 must use jev skills for your agent setup💀
1. jev-ultrafast -> browser agent
github.com/browser-use/jev-u…
2. fast-jev-compaction -> compress context
github.com/tamaratran/fast-j…
3. json-render -> generative UI
github.com/vercel-labs/json-…
4. typesafe-mcp -> add jev to any MCP client
github.com/itsmostafa/typesa…
5. jev-mcp -> judgment tools for agents
github.com/jkudish/jev-mcp
6. semdecide -> CLI classifier
github.com/sharziki/semdecid…
7. jev-codex-router -> route coding tasks to the right model
github.com/0xNatoshi/jev-cod…
8. winnow -> remove useless context
github.com/GhalebDweikat/win…
9. jev-review -> sort code review issues
github.com/devagrawal09/jev-…
10. blink -> find your way around a repo
github.com/ellipsis-dev/blin…
11. agent-desktop -> desktop automation
github.com/lahfir/agent-desk…
12. typesafe-mario -> agent that plays super mario
github.com/fhshaik/typesafe-…
13. jev-drone -> control a drone
github.com/RomanSlack/jev-dr…
14. onevonejev -> browser FPS game
github.com/emrickgarrett/One…
15. jev-trader -> market-making agent
github.com/jarrodwatts/jev-t…
16. prism -> spot liquidity signals
github.com/irfndi/prism-liqu…
17. neo4jev -> move through knowledge graphs
github.com/jexp/neo4jev
18. jev-curate -> filter training data
github.com/AkashPriyadarshii…
19. canny -> check if an agent really finished the task
github.com/qkal/Canny
20. killmyidea -> score your startup idea
github.com/monteduro/killmyi…
bookmark this list if you are using JEV
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
We built the cheapest AI Router
Every model is discounted up to 81%!
ZDR is available
Try it -> CheaperInference.com
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
Jev might genuinely be an “Internet moment” for AI.
TypeSafe reports up to 193x faster and 444x cheaper performance in tests with Claude Fable 5.1 and GPT-6 Astra.
@0xCodila just wrote a great 10-page article explaining what Jev is, how to use it, and where its 100x advantage comes from.
Here are the 10 steps:
1 → LLMs create. Agents act. Jev decides the next move.
2 → Turn agent forks into three primitives: Choice, Score and probability.
3 → Build with OpenAI, Anthropic or xAI first, then swap Jev in without rebuilding the graph.
4 → Start with shared state, parallel decisions, risk thresholds and an execution queue.
5 → Batch decisions instead of making them sequentially. In one test, 13 questions were 10x faster and 12.2x cheaper.
6 → Put Jev at bounded forks: agent, model, tool, browser action or human escalation.
7 → Benchmark the whole loop, not just individual model calls.
8 → Rank wide, read narrow: shortlist first, then spend compute on what matters.
9 → Reuse the same system: State → Questions → Action → Verify.
10 → Keep Jev out of math, writing and irreversible execution. Code computes, LLMs create, Jev decides.
The result:
A slow, expensive agent loop becomes a much faster decision system that can route, score and escalate in milliseconds.
Full breakdown below ↓
Jev is "Internet" moment for AI: up to 193x faster and 444x cheaper in tests with Claude Fable 5.1 and GPT-6 Astra
Whar is Jev, how to use and unlock its real 100х advantage in my 10-page research:
step 1 → meet Jev: LLM writes, agents act, Jev chooses the next move - split intelligence from execution
step 2 → turn every agent fork into three primitives: Choice selects one route, Score measures a defined scale, Noul returns the probability of yes
step 3 → build before getting access: use TypeSafe’s official adapter with OpenAI, Anthropic or xAI, then swap in Jev without rebuilding the graph
step 4 → setup first Jev: one state, three parallel decisions, risk-based thresholds and a real queue your agents can execute
step 5 → batch decisions instead of serializing them: 13 questions in one call ran 10x faster and 12.2x cheaper than 13 sequential calls
step 6 → place Jev at every bounded fork: choose the agent, model, tool, browser action or human escalation, then read fresh state
step 7 → benchmark the entire loop: Browser Use hit Google Flights in 7.1s, Every ran 777 checks in under 0.7s, Mobile Jev completed 9 actions in 21s
step 8 → rank wide, read narrow: Jev cut wrong Hermes skill loads from 16.8% to 7.3% and pushed legal Top-10 retrieval from 38% to 62%
step 9 → steal a system, not a prompt: Chief of Staff, model router, inbox firewall, research feed, browser controller and safety gate all use State → Questions → Action → Verify
step 10 → keep Jev out of math, writing and irreversible execution: code computes, LLMs create, Jev decides, fresh state proves the result
the result: one slow, expensive agent becomes an always-on decision machine that routes, scores and escalates in milliseconds
Copy the complete 10-page Jev blueprint - then read full 10-step roadmap below ↓
shakethegreat.eth💬🇲🇦🪬🧬🤖 retweeted
The dead internet theory might be real
Here’s a video of a Chinese AI agent running 50 social media accounts simultaneously on it’s own
It runs 24/7
xitter.cf/ParamSiddh/status/2101…

































