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@__nav1n_ · joined 25 Dec 2010

Github: https://t.co/7MrKOcUFfO | 2x MVR @msftsecurity

29 091Followers
263Following
3 331Posts total
50.6KViews on collected posts

Últimas publicaciones

How many of you remember CHIP magazine? I remember begging my dad for money to buy it just for the free CDs and the games, free apps on them. Each issue used to cost around ₹150, which was a lot of money in the early 2000s, and internet access wasn’t free, and speeds were https:/
1K views · 3 likes · 0 reposts · 1 replies Open on X →
I’ve been a Windows and Linux guy all my life, but I wanted to try a Mac, so I treated myself to one last week. BTW, @Hacker0x01 paid for it! 😀 Thanks, guys! Well, still figuring out how to do a right-click 😅😅😅 https://t.co/y1mrevd4AI
4.1K views · 75 likes · 0 reposts · 6 replies Open on X →
You’d need some alien technology to make a foldable display with absolutely zero crease. 😂 So when people say Apple has suddenly achieved what Samsung couldn’t in 7–8 years… maybe rethink that for a second. And don’t forget - Samsung is one of the major suppliers of displays htt
3K views · 19 likes · 1 reposts · 2 replies Open on X →
@__nav1n_ @auguzanellato one more i had seen $250k , bounty of a lifetime ... pension fund collected and left .. i think it was on shofify as well 3K views · 13 likes · 0 reposts · 1 replies Open on X →
@__nav1n_ @auguzanellato He settled the debate & started enjoying the life:) 2.2K views · 11 likes · 0 reposts · 0 replies Open on X →
@__nav1n_ @auguzanellato https://t.co/zXcBDK3FVs
2.6K views · 17 likes · 0 reposts · 1 replies Open on X →
He came, found a bug in Shopify, bagged $50K, and left without a trace... @auguzanellato https://t.co/QMubzL40Mc
28K views · 551 likes · 13 reposts · 13 replies Open on X →
@__nav1n_ Most programs are bad. A very few are good because the Hiring Manger and the CEO at those companies didn’t hire toxic but highly deceptive employees. The toxic companies eventually get attacked by ransomwares or blackhats and lose more because 'Karma' … 124 views · 2 likes · 0 reposts · 0 replies Open on X →
@__nav1n_ Welcome to my pain https://t.co/RWzFaOyIEv
278 views · 3 likes · 0 reposts · 0 replies Open on X →
@__nav1n_ This happened to me as well on intigriti but i was told report was 8 months old only and target was super famous as well 397 views · 2 likes · 0 reposts · 0 replies Open on X →
This happened to me TWICE with the same target. I know this tweet might eventually be traced back to me, but I still wanted to express my disappointment. #BugBounty https://t.co/NEXdnS5oq2
5.9K views · 102 likes · 2 reposts · 8 replies Open on X →

Frente a cuentas del mismo tamaño

11 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.

Visualizaciones medianas2 626esta cuenta991mediana de 10K–100K
Alcance, %9.03%esta cuenta3.67%mediana de 10K–100K
Interacción, %0.75%esta cuenta1.61%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación2 6269912.65×
Alcance (visualizaciones ÷ seguidores)9.03%3.67%2.46×
Tasa de interacción0.75%1.61%0.46×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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

5.9K8 Sep
397
278
1249 Sep
28K
2.6K
2.2K
3K
3K10 Sep
4.1K11 Sep
1K14 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.90%8 Sep
0.50%
1.08%
1.61%9 Sep
2.06%
0.69%
0.50%
0.47%
0.75%10 Sep
1.99%11 Sep
0.39%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.

What the audience does

Likes77.4%798 in total
Reposts1.6%16 in total
Replies3.1%32 in total
Bookmarks17.9%185 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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