Insha ✓
@Insharamin · India · joined 18 Jan 2021
Community ⚒️
71 364Followers
616Following
24 526Posts total
75.4KViews on collected posts
Latest posts
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Upgraded to the Mac Air M5 ♥️ https://t.co/Us8ouHyL1i
2.4K views · 52 likes
· 1 reposts · 1 replies
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@Insharamin didn't get it. but just be confident and do prep beforehand.
interview is around 40 seconds long.
Just prepare properly and be confident
1. Your purpose of visit?
2. How long?
3. Who is paying?
4. What do you do for work?
5. How much do you earn monthly?
6. How many
411 views · 3 likes
· 0 reposts · 1 replies
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@Insharamin just being confident solves 80% of the things.
243 views · 7 likes
· 0 reposts · 1 replies
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@Insharamin You will get it, I got it on the first try
537 views · 2 likes
· 0 reposts · 2 replies
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Applied for the US visa. 🇺🇸
Be honest, how many of you got it on your first try?
I'm lowkey nervous rn. 🤞
12.5K views · 62 likes
· 1 reposts · 32 replies
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Hyderabad showed up with a sky this pretty today. 🧡 https://t.co/qyux9vM2d7
2.4K views · 28 likes
· 1 reposts · 1 replies
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Cult gyms have gotten ridiculously crowded at this point.
You wait 10+ minutes for almost every machine. And if 3-4 people are already using the same machine, doing 3 sets each, you’re easily looking at 30-45 minutes just waiting to get your turn.
I genuinely enjoy working out,
5.5K views · 20 likes
· 1 reposts · 1 replies
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@Insharamin You are techy or marketing person ?
76 views · 0 likes
· 0 reposts · 1 replies
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ZK-SNARKs are ideal for applications needing small, quick-to-verify proofs but require a trusted setup.
ZK-STARKs are better for scalable applications without the need for a trusted setup, offering better security at the cost of larger proofs and slower generation times.
618 views · 8 likes
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ZK-STARKs
Acronym for Zero-Knowledge Scalable Transparent Argument of Knowledge
Scalable: Can handle large computations efficiently.
Transparent: Does not require a trusted setup, reducing potential security risks.
5.1K views · 8 likes
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ZK-SNARKs:
[Zero-Knowledge Succinct Non-Interactive Argument of Knowledge]
Succinct: Proofs are very small, quick to verify.
Non-Interactive: The prover and verifier only interact once
Argument of Knowledge: Ensures that the prover truly knows the info without revealing it.
292 views · 7 likes
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In zero knowledge proofs:
The prover and verifier are the main actors, & is made up of three elements:
Witness: Confidential information.
Challenge: Question from the verifier.
Response: Answer from the prover.
This is an iterative process until the verifier is convinced.
208 views · 7 likes
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Types of Zero-Knowledge Proofs
- Interactive ZKPs: Requires back-and-forth communication between the prover and verifier.
- Non-Interactive ZKPs: The proof is generated once and can be verified multiple times without further interaction between the prover and verifier.
200 views · 7 likes
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2. Soundness:
If the statement is false, no prover can convince the verifier, except by a small chance.
3. Zero-knowledge
If the state is true, then the verifier learns nothing more from the prover other than the statement is true.
209 views · 8 likes
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How ZKPs Work?
Zero-knowledge protocols rely on algorithms that take some data as input and return ‘true’ or ‘false’ as output
The protocol must satisfy the following criteria:
1. Completeness:
If the statement is true, a truthful prover can convince the verifier.
257 views · 9 likes
· 0 reposts · 1 replies
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Applications of Zero-Knowledge Proof:
- Anonymous payments
- Secure authentication
- For Layer 2’s: Process transactions off-chain but commits data on-chain using ZKPs
- Verifiable computation
- Reducing bribery
276 views · 11 likes
· 0 reposts · 1 replies
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This proof is sent to verifier, who checks that the prover knows the [age] using another algorithm
Since, Paula and Violet only had one round of communication to prove the validity of her age, it’s a ZK SNARK https://t.co/T1Ml6GUByU
327 views · 10 likes
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How did proving 18+ is "true" technically happen?
Zero-knowledge protocols take data and put it through an algorithm, which returns ‘true’ or ‘false’ as output
Technically, the prover passes the secret information (age) to a special algorithm to compute a zero-knowledge proof.
287 views · 10 likes
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But if Paula uses a zero-knowledge proof instead:
She can prove her age to Violet without actually revealing the information (her age) to Violet
As a result of this, no information about Paula can be compromised and remains safely and privately with her. https://t.co/MsXZsCHNJr
360 views · 9 likes
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Let's understand it with a scenario: Paula and Violet
Paula has to prove Violet that she’s 18+ to go to a concert
Traditionally she'll need to provide her ID that has her age, height, where she lives, etc. (which is unnecessary and compromises Paula’s privacy)
319 views · 8 likes
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Prover and Verifier:
Prover: The one who claims to know the information.
Verifier: A person verifying something is true or false without knowing anything about it.
Basically, Proving without revealing!
378 views · 9 likes
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A zero-knowledge proof is a way of proving the validity of a statement without revealing the statement itself.
(ZKPs) are constructed using advanced cryptographic techniques.
First appeared in a 1985 paper "The knowledge complexity of interactive proof systems"
426 views · 9 likes
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In the digital age, safeguarding privacy and security is paramount.
But how can we prove something without revealing sensitive information?
Zero-Knowledge Proofs (ZKPs) are the solution!
A Thread 🧵 https://t.co/CykouhEvnS
42.1K views · 102 likes
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Against accounts of the same size
7 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.
Median views2 368this account991median for 10K–100K
Reach, %3.32%this account3.66%median for 10K–100K
Engagement, %0.97%this account1.61%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 2 368 | 991 | 2.39× |
| Reach (views ÷ followers) | 3.32% | 3.66% | 0.91× |
| Engagement rate | 0.97% | 1.61% | 0.60× |
Others in this range → Compare with another account → How these benchmarks are built →
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
20923 Jul
200
208
292
5.1K
618
7622 Sep
5.5K22 Aug
2.4K24 Aug
12.5K26 Aug
537
243
411
2.4K27 Aug
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
4.31%23 Jul
4.00%
3.85%
2.74%
0.18%
1.29%
1.32%22 Sep
0.44%22 Aug
1.27%24 Aug
0.76%26 Aug
0.74%
3.29%
0.97%
2.27%27 Aug
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.
What the audience does
Likes72.9%396 in total
Reposts1.7%9 in total
Replies12.3%67 in total
Quotes0.7%4 in total
Bookmarks12.3%67 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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