Shafkat Sakeeb retweetledi
Shafkat Sakeeb
10K posts

Shafkat Sakeeb
@Sakeeb91
Actively inferencing patterns that emerge from curiosity, play and growth
Montréal, Québec Katılım Mayıs 2009
2.1K Takip Edilen597 Takipçiler
Shafkat Sakeeb retweetledi

@addyosmani A 5-min setup and usage with open claw and Claude code/codex
x.com/misbahsy/statu…
Misbah Syed@MisbahSy
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Shafkat Sakeeb retweetledi
Shafkat Sakeeb retweetledi

Cardiologist wins 3rd place at Anthropic's hackathon. Out of 13,000 applications. Built in 7 days by Michał Nedoszytko MD. Coded day and night - in the hospital, in the cloud, while flying from Brussels to San Francisco.
A few years ago, it would have been impossible for a doctor to build this alone in just a couple of days. AI changed that.
The project is called postvisit.ai. It is an AI agentic care platform for patients. Including reverse AI scribe it is a companion that guides the patient from the moment they leave the doctor's office.
Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.
Today, the barrier to entry has vanished; even a practicing physician can build an application from scratch.
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Shafkat Sakeeb retweetledi

@hugomercierooo This is great! Would love to give it a try for our company!
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𝗧𝘄𝗶𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘁𝗼 𝗲𝘃𝗲𝗿𝘆𝗼𝗻𝗲.
twin.so
We can’t wait to see what you’ll build.
𝗥𝗧 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 “𝗧𝘄𝗶𝗻” 𝘁𝗼 𝗴𝗲𝘁 𝗳𝗿𝗲𝗲 𝗰𝗿𝗲𝗱𝗶𝘁𝘀 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗗𝗠𝘀 👇
twitter.com/hugomercierooo…
Hugo Mercier@hugomercierooo
𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿. No setup. Secure. Infinitely scalable. We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱. After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone. RT and comment “Twin” — first agents on us. 👇
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@rachelclif Exactly why the West failed and birth rates are in decline
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All of this requires deep access to your digital life.
The trust stack that makes it safe:
→ Granular permissions (read/write/execute, per-folder, per-agent)
→ Audit logs and rollback for everything
→ Approval tiers from auto-execute to require-approval
→ Kill switches at every level
Delegation without abdication.
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For the people who missed the workflow:
Still the best workflow.
here's my gift: the entire AI workflow I used to ship 5+ projects last month.
most people use AI tools separately.
I chained them into one pipeline.
the stack:
→ NotebookLM — idea mapping, research synthesis
→ Gemini Gems — requirements extraction, analysis
→ Claude Code (Opus 4.5) — PRD, documentation, system prompts
→ Antigravity — free website builds (buggy but ships fast)
the flow:
raw idea
↓
NotebookLM (connects dots you'd miss)
↓
Gemini Gems (research → actionable requirements)
↓
Claude Code (requirements → production-ready PRD)
↓
Antigravity (PRD → working prototype)
↓
live product
from foggy idea to shipped product in hours.
this isn't using AI.
this is orchestrating AI.
includes:
– full 12-page workflow guide
– frontend system prompt template
– backend system prompt template
– stage-by-stage prompts
– common mistakes to avoid
free. no catch. happy new year.
like + reply "2026" for the complete workflow pack.
(must be following for DM)
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KV Cache Explosion:
During inference, the system caches the key-value pairs to avoid recomputation. But this cache grows linearly with context length per layer, per head. For a large model with 80+ layers and dozens of attention heads, a 1M token context means hundreds of gigabytes just for the cache.
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