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Insha

@Insharamin · India · joined 18 Jan 2021

Community ⚒️

71 364Followers
616Following
24 526Posts total
75.4KViews on collected posts

Neueste Beiträge

Upgraded to the Mac Air M5 ♥️ https://t.co/Us8ouHyL1i
2.4K views · 52 likes · 1 reposts · 1 replies Open on X →
@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 Open on X →
@Insharamin just being confident solves 80% of the things. 243 views · 7 likes · 0 reposts · 1 replies Open on X →
@Insharamin You will get it, I got it on the first try 537 views · 2 likes · 0 reposts · 2 replies Open on X →
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 Open on X →
Hyderabad showed up with a sky this pretty today. 🧡 https://t.co/qyux9vM2d7
2.4K views · 28 likes · 1 reposts · 1 replies Open on X →
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 Open on X →
@Insharamin You are techy or marketing person ? 76 views · 0 likes · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 0 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 Open on X →
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 Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 2 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 0 reposts · 2 replies Open on X →
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 · 0 reposts · 2 replies Open on X →
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 · 0 reposts · 1 replies Open on X →
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 · 5 reposts · 11 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe2 368dieses Konto993Median für 10K–100K
Reichweite, %3.32%dieses Konto3.67%Median für 10K–100K
Interaktion, %0.97%dieses Konto1.61%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag2 3689932.38×
Reichweite (Aufrufe ÷ Follower)3.32%3.67%0.90×
Interaktionsrate0.97%1.61%0.60×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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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