Piyush Garg ✓
@piyushgarg_dev · Punjab · joined 20 Sep 2021
Software Engineer | Tech Content Creator & YouTuber | 400k+ on YouTube | 40k+ Instagram | 115k+ LinkedIn For Collaborations: contact@piyushgarg.dev
36 718Followers
432Following
7 537Posts total
406.4KViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@piyushgarg_dev give a tldr for ads, this is embarassing
1.2K views · 4 likes
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The biggest lesson for me wasn't just the 2.8× speedup.
It was this:
Before optimizing your CI/CD pipeline, look at how much work you're unnecessarily repeating.
Sometimes the biggest performance improvement isn't rewriting your build.
It's simply not doing the same work
6K views · 9 likes
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AVREA handles caching at the Linux/runtime level, so repeated work can be reused:
⚡ Build artifacts
⚡ npm dependencies
⚡ Packages
⚡ Build scripts
⚡ Other repeated workflow operations
So instead of rebuilding and reinstalling everything on every push, the pipeline can reuse
7K views · 12 likes
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My first thought was: “There has to be a better way.”
That’s when I came across https://t.co/Jf3tfKj9DB.
The interesting part?
I didn't have to redesign my pipeline.
I didn't have to add complicated caching logic.
I didn't have to configure a bunch of additional steps.
It
8.2K views · 29 likes
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My GitHub Actions CI/CD pipeline was taking 15–18 minutes.
And then I realized…
A lot of that time was spent doing the same work again and again.
Every push meant:
→ npm install running again
→ Dependencies being downloaded again
→ Build scripts rebuilding everything from
78.5K views · 437 likes
· 14 reposts · 27 replies
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@piyushgarg_dev Show her your codebase, and she will immediately say yes https://t.co/lTBtNOapyk
626 views · 8 likes
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Kudos to @hemantwasthere for his design and frontend skills ✨
1.6K views · 7 likes
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10. Checkout "Docker Course" on https://t.co/svtoaANG2Y
💪🏻 Powered by https://t.co/Ws9tqAZyLV https://t.co/lM97aqIhRq
1.3K views · 7 likes
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9. Learners View ✨
Inspired by @udemy https://t.co/r3S7mXbWrW
1.4K views · 12 likes
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8. Easy Chapter and Lesson Mangement https://t.co/kSY1tCmoqT
1.4K views · 7 likes
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7. High-Quality Video Processing for streaming
Special thanks to @mehulmpt video on youtube "How to build YouTube-like website with AWS?" which helped me in creating video processing pipeline https://t.co/W4vW4cvIbg
1.6K views · 6 likes
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6. Beautifull Course Landing Pages
Yes, this design is inspired from @codedamncom ✨ https://t.co/rffqib7C9l
1.7K views · 6 likes
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5. Easy Course Management https://t.co/6NvYW7UlBF
1.6K views · 7 likes
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4. Connect Your Own Payment Gateway https://t.co/cyXXkYEhZb
1.7K views · 5 likes
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3. Building More Integrations like Stripe, Google Analytics, etc. https://t.co/AhQ53c6hdy
1.8K views · 5 likes
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2. Create and Manage Unlimited Websites https://t.co/6OFbohLAwG
2K views · 7 likes
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1. Domain Management
https://t.co/Ws9tqAZyLV lets you host your courses on your custom domain + teachyst-provided domain https://t.co/PjyiAuWVyS
2.6K views · 9 likes
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Hey Everyone,
I am excited to announce https://t.co/Ws9tqAZyLV 🎉
A whole new platform for Instructors and Content Creators. 🥳
🧵 Thread https://t.co/6M6OCMlulu
254K views · 587 likes
· 19 reposts · 51 replies
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เทียบกับบัญชีขนาดเดียวกัน
9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน7 018บัญชีนี้1 011ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %19.11%บัญชีนี้3.74%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.39%บัญชีนี้1.65%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 7 018 | 1 011 | 6.94× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 19.11% | 3.74% | 5.11× |
| อัตราการมีส่วนร่วม | 0.39% | 1.65% | 0.24× |
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
1.4K23 Apr
1.4K
1.3K
1.6K
62624 Feb
11.4K10 Sep
13.2K12 Sep
2.4K
78.5K14 Sep
8.2K
7K
6K
5K
1.2K
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
0.56%23 Apr
0.91%
0.64%
0.51%
1.44%24 Feb
4.18%10 Sep
0.84%12 Sep
1.92%
0.61%14 Sep
0.39%
0.19%
0.17%
0.22%
0.33%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.
What the audience does
Likes68.7%1 776 in total
Reposts1.7%43 in total
Replies4.4%114 in total
Bookmarks25.3%654 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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