tweetindex
PT

Alex Rampell ✓

@arampell · Palo Alto, CA · joined 24 Oct 2010

Silicon Valley entrepreneur (cofounder@ TrialPay, Yub, Affirm, Point, TXN), investor (General Partner @a16z), husband, father and sarcast (one who is sarcastic)

57 485Followers
1 506Following
11 062Posts total
133KViews on collected posts

Posts recentes

@arampell @rubenharris Inscrutable tweet to Swifties. How can karma be both a bitch…and my boyfriend? 2.9K views · 7 likes · 0 reposts · 1 replies Open on X →
@arampell Paired with @dhaber's tweet, there is 🫖 2.7K views · 11 likes · 0 reposts · 0 replies Open on X →
@arampell https://t.co/8wenOO8nqZ 4.3K views · 15 likes · 0 reposts · 0 replies Open on X →
Karma is a bitch 71.5K views · 143 likes · 4 reposts · 11 replies Open on X →
Previously, there were three different layers of "fraud" (and its corollary, validation) on the Internet. These are important in case a transaction is litigated: 1. Is this a real identity/user Think: this is a valid government document, the profile is real and maps to a 3.1K views · 15 likes · 3 reposts · 2 replies Open on X →
@AppleClassical bug in this album listing…not Brahms! Second track is mislabeled. https://t.co/mJyY9vfFE4 2.9K views · 5 likes · 0 reposts · 3 replies Open on X →
@arampell increased productivity also puts pressure on coordination few companies are set up in a way to be able to absorb 10x more productivity on individual-contributor level let alone 100x 81 views · 1 likes · 0 reposts · 0 replies Open on X →
@arampell Great post. AI growing the pie for the customer while also making growing human lazy agents is super unclear at this stage. One conclusion takes it to UBI path, other possibilities needs to be figured out. 212 views · 1 likes · 0 reposts · 0 replies Open on X →
@arampell The missing layer is incentive design: AI gains must become legible to the principal without making employees worse off. Otherwise the rational equilibrium is “automate privately, report baseline output,” turning hidden productivity into an equilibrium—not a bug. 17 views · 1 likes · 0 reposts · 0 replies Open on X →
The Principal-Agent vs. Agents Problem Every human in the workforce has two crude goals: 1. Be richer. 2. Be lazier. Get paid 2x more, or keep salary flat? Get paid more! Go home at 11:01 PM, or stay up until 5 AM? Go home at 11:01 PM! This isn’t a moral judgment. It’s 29K views · 120 likes · 7 reposts · 30 replies Open on X →
Sometimes the user is not the customer User = person who actually uses the product Customer = person who actually pays for the product If they are one and the same, then the product, sign-up flow, etc have to be great You know they’re not when you see something like this: https 16.2K views · 22 likes · 2 reposts · 4 replies Open on X →
“Science is the belief in the ignorance of experts” -Richard Feynman (1966) https://t.co/wRxMj7kd7b 0 views · 965 likes · 198 reposts · 77 replies Open on X →

Em comparação com contas do mesmo porte

11 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações2 947esta conta924mediana para 10K–100K
Alcance, %5.13%esta conta3.62%mediana para 10K–100K
Engajamento, %0.41%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post2 9479243.19×
Alcance (visualizações ÷ seguidores)5.13%3.62%1.42×
Taxa de engajamento0.41%1.52%0.27×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

16.2K10 Aug
29K11 Aug
17
212
8112 Aug
2.9K20 Aug
3.1K2 Sep
71.5K3 Sep
4.3K
2.7K
2.9K

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

0.18%10 Aug
0.56%11 Aug
5.88%
0.47%
1.23%12 Aug
0.27%20 Aug
0.65%2 Sep
0.22%3 Sep
0.35%
0.41%
0.28%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes62.2%341 in total
Reposts2.9%16 in total
Replies9.3%51 in total
Quotes1.8%10 in total
Bookmarks23.7%130 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.

Contas semelhantes