Elad Gil ✓
@eladgil · joined 03 Jun 2007
Entrepreneur & Investor
711 540Followers
1 816Following
2 297Posts total
2MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
Excited to welcome @asadovsky as Harvey’s Chief Research Officer.
Before Harvey, Adam co-led post-training at Microsoft AI and Google DeepMind.
As a CVP at Microsoft AI, he helped build MAI-Thinking-1, Microsoft’s reasoning model.
As part of Gemini’s leadership team he helped
231K views · 127 likes
· 13 reposts · 10 replies
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We’ve raised $550M at a $15.5B valuation, led by @DiffusionVC and @LightSpeedVP.
We’ve crossed $400M in ARR and serve 3,000 customers, including 80% of the top 100 law firms, 20% of the Fortune 500, and half of the Fortune 10.
We are investing the capital from this round into
117.5K views · 473 likes
· 37 reposts · 35 replies
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We are simultaneously ramping into the singularity & seeing odd investor interest for non-exponential companies
84.7K views · 642 likes
· 25 reposts · 43 replies
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@eladgil just gonna put these here... https://t.co/wCqNRELHaj
539 views · 5 likes
· 0 reposts · 0 replies
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@eladgil some times when talking to chatGPT I try to remind myself that I’m talking to sand.
1.5K views · 32 likes
· 0 reposts · 4 replies
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Impressive speed to tape out by OpenAI
https://t.co/5VXgzYhp2d
27.4K views · 154 likes
· 7 reposts · 11 replies
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@eladgil @NoPriorsPod @melisatokmak @Netic_AI most AI solves clean digital problems. physical world ops doesn't have clean data, it has a forklift that just stopped and a sensor from 2009.
44 views · 0 likes
· 0 reposts · 0 replies
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@eladgil @NoPriorsPod @melisatokmak @Netic_AI She friggin rocks
2.8K views · 3 likes
· 0 reposts · 1 replies
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@eladgil @NoPriorsPod @melisatokmak @Netic_AI Physical world businesses are the interesting test because the feedback is slow and expensive. Software lets you ship and observe. A wrong call on a route or an order quantity shows up weeks later as inventory nobody wanted. Curious h
43 views · 0 likes
· 0 reposts · 0 replies
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New @NoPriorsPod w @melisatokmak CEO of @Netic_AI
Building AI products for physical world business https://t.co/ZuVsri2ggz
43.4K views · 120 likes
· 9 reposts · 5 replies
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0:39
Link to fuller post:
https://t.co/OGVkrLF0jd
22K views · 90 likes
· 3 reposts · 2 replies
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12/12 Most AI companies should consider exiting in the next 12-18 months
142.7K views · 200 likes
· 7 reposts · 9 replies
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13/12 Anti-AI regulation & violence will both increase
It is important for leaders in tech and AI to point out the benefits of AI to society and the world more aggressively
24.7K views · 105 likes
· 1 reposts · 7 replies
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10/12 Harness creating more and more stickiness to models
If you look at the use of AI coding tools, the harness (and broader product surface area eg UX, workflow, etc) seems to be increasingly sticky in the short term.
It is not just the model you use, but the environment,
24.3K views · 107 likes
· 4 reposts · 7 replies
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11/12 AI is about selling work, not software. Units of labor as the product
This is a big shift in TAM, agents, how to build product in the AI era. Many AI markets are 10-100X the size of their seat based software counterparts
24.6K views · 170 likes
· 11 reposts · 3 replies
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9/12 Artisanal engineers will be be increasingly unhappy inside companies.
Deep artisanal “my code is my craft” and “I love creating bespoke things” engineers decreasingly happy in world of AI. Systems thinkers and product thinkers engineers happiest. Many people are a mix of
102.9K views · 290 likes
· 12 reposts · 4 replies
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8/12 AI will eat closed loops first
Fastest time to impact will be fast closed loop + high economic value (this explains SW engineering, customer support) https://t.co/YIyF8s03Td
48.8K views · 164 likes
· 12 reposts · 4 replies
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6/12 Employee headcount is going to flatten for lots of companies & then shrink
Multiple later stage CEOs told me that rather then do big layoffs due to AI, they will just stop growing. So if revenue at the company is growing 30%, 50%, or 100%, headcount may be flat or slightly
20.2K views · 110 likes
· 4 reposts · 4 replies
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7/12 Slop Era may be humanities productivity golden age - AI good enough to give leverage (slop) but still need people to clean up the slop
22.1K views · 124 likes
· 6 reposts · 2 replies
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เทียบกับบัญชีขนาดเดียวกัน
20 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน27 684บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %3.89%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.36%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 27 684 | 5 983 | 4.63× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 3.89% | 1.49% | 2.61× |
| อัตราการมีส่วนร่วม | 0.36% | 0.93% | 0.39× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
70.3K27 Aug
25K
1.5K28 Aug
539
1.7K
24.2K3 Sep
84.7K8 Sep
31.2K
39.8K
117.5K9 Sep
28K10 Sep
60.4K15 Sep
231K16 Sep
23.6K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.87%27 Aug
0.24%
2.35%28 Aug
0.93%
0.46%
0.20%3 Sep
0.84%8 Sep
0.05%
0.44%
0.48%9 Sep
0.34%10 Sep
0.38%15 Sep
0.07%16 Sep
0.39%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes69.9%4 747 in total
Reposts4.2%286 in total
Replies3.6%244 in total
Quotes0.8%55 in total
Bookmarks21.5%1 459 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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