Poonam Soni ✓

@CodeByPoonam · DM for Collabs · joined 14 Sep 2021

Post about everything latest in AI | Founder: AI Toast| DM for Collabs

214 259Followers

678Following

76 276Posts total

69.8KViews on collected posts

โพสต์ล่าสุด

Poonam Soni ✓@CodeByPoonam5 Sep

It's only been 2 days since OpenAI dropped GPT-6 Astra People are going crazy over its coding capabilities. Here're the 13 wild examples so far (Don't miss the 5th one) https://t.co/QMAI3A18ta 39.7K views · 238 likes · 27 reposts · 13 replies Open on X →

Poonam Soni ✓@CodeByPoonam5 Sep

Spent a day at LinkedIn's office this week. We had a roundtable with Prashanthi Padmanabhan (VP of Engineering at LinkedIn) where she broke down LinkedIn's Hiring Assistant. Some things that stuck with me: → Recruiters today juggle ATS, CRM, sourcing tools, candidate https://t. 7.1K views · 31 likes · 1 reposts · 10 replies Open on X →

Poonam Soni ✓@CodeByPoonam4 Sep

GPT-6 Astra is absolutely wild Everyone on X is going crazy over its capabilities. Here are 10 wild examples you don't want to miss: https://t.co/rKlBmYm6pT 10.4K views · 59 likes · 7 reposts · 12 replies Open on X →

Poonam Soni ✓@CodeByPoonam3 Sep

JUST IN: Every AI benchmark you've seen might be wrong, off by 82%. Peer-reviewed research just proved it. It's called AI Frontier, and the idea is simple but the implications aren't: standard benchmarks test one model, one time. That systematically understates what AI can htt 6.2K views · 16 likes · 2 reposts · 4 replies Open on X →

Poonam Soni ✓@CodeByPoonam3 Sep

Do you understand the actual hard part of PII redaction? Not catching sensitive data; it's not flagging clean data by mistake. Respan's new P-1 model is built around exactly that 👇 It's called P-1, and Respan is calling it the best privacy model out there. The pitch: existing h 6.3K views · 11 likes · 2 reposts · 10 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน7 146บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %3.34%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %0.59%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	7 146	5 983	1.19×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.34%	1.49%	2.24×
อัตราการมีส่วนร่วม	0.59%	0.93%	0.63×

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

6.3K3 Sep

6.2K

10.4K4 Sep

7.1K5 Sep

39.7K

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

0.36%3 Sep

0.36%

0.75%4 Sep

0.59%5 Sep

0.70%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes57.3%355 in total

Reposts6.3%39 in total

Replies7.9%49 in total

Bookmarks28.5%177 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.