Sachin Sharma 🇮🇳 ✓

@sachinvats · Shambala · joined 01 Mar 2010

30 757Followers

701Following

28 979Posts total

17.8KViews on collected posts

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Sachin Sharma 🇮🇳 ✓@sachinvats12 Sep

I come from here! 7K views · 32 likes · 0 reposts · 6 replies Open on X →

Sachin Sharma 🇮🇳 ✓@sachinvats12 Sep

TBH ChatGPT sites is one of the reason, I end up doing lot of stuff in codex instead of cursor. No hassle about repo, GitHub, Vercel handover or package installation and validation on local Mac It’s super clean 3.1K views · 14 likes · 3 reposts · 0 replies Open on X →

Sachin Sharma 🇮🇳 ✓@sachinvats12 Sep

Pricing of AI frontier models is ever speeding treadmill now, the lead of frontier models from major labs barely maintains 4-7 months lead, before another model gets better and until IPO, these companies can’t slow it down From consumers POV, getting todays frontier models in 2K views · 8 likes · 0 reposts · 1 replies Open on X →

Sachin Sharma 🇮🇳 ✓@sachinvats11 Sep

I am trying to FRAME the article with following lens: “The question is not whether we could have predicted the 10x-100x. It is whether, before the 10x-100x happened, there was enough evidence to put the company into a very small research bucket deserving unusually close 3K views · 15 likes · 0 reposts · 2 replies Open on X →

Sachin Sharma 🇮🇳 ✓@sachinvats11 Sep

@purvil_g Not yet bro, its taking all of my time over last 3-4 days. I am working in my MBB consultant mode on it and kinda obsessed with it. As i said this is key for me as it will become basis for identifying what comes next. its 99% my own work for my own investing and 1% abou 2.7K views · 8 likes · 0 reposts · 2 replies Open on X →

Sachin Sharma 🇮🇳 ✓@sachinvats29 Aug 2021

What I look in my investment -QoQ/YoY revenue growth - High operating margin - Healthy cash position - Strong sector macro - Quality of CEO & leadership team - Client testimonials - Competitive edge in technology/business model I don't look earnings, as gains to be reinvested 0 views · 613 likes · 91 reposts · 54 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน2 988บัญชีนี้927ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %9.71%บัญชีนี้3.40%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.54%บัญชีนี้1.54%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	2 988	927	3.22×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	9.71%	3.40%	2.86×
อัตราการมีส่วนร่วม	0.54%	1.54%	0.35×

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

2.7K11 Sep

2K12 Sep

3.1K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.37%11 Sep

0.57%

0.46%12 Sep

0.55%

0.54%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.54%.

What the audience does

Likes77.8%77 in total

Reposts3.0%3 in total

Replies11.1%11 in total

Bookmarks8.1%8 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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เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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