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Lauris ✓

@lzminsky · london / nyc · joined 27 Apr 2009

forward deployed philosopher. I want markets for all priceable states of the world.

10 459Followers
2 958Following
16 142Posts total
1.1MViews on collected posts

Ultimi post

@lzminsky Should make for a fun pricing war between dealers 316 views · 4 likes · 0 reposts · 1 replies Open on X →
Paper here: https://t.co/Q1FcB6AsAJ 1.1K views · 11 likes · 0 reposts · 0 replies Open on X →
I like Tulip King, but why do some people think that finance is just systematic or discretionary trading prop trading? https://t.co/0A8o196Swj 2K views · 6 likes · 0 reposts · 1 replies Open on X →
My girlfriend is Macro and Rates Aware https://t.co/gUs0UT6mcy 1.2K views · 24 likes · 1 reposts · 0 replies Open on X →
Why is it crazy to believe crypto will eat Wall Street? 1. We're literally fixing the money. Whether the future is Bitcoin/ZCash, Stablecoins, or some mix of the two. We are the pioneers of the future of money, this is a generational achievement 2. We're literally rewriting the 21.2K views · 288 likes · 27 reposts · 35 replies Open on X →
dont build a product, build an architecture for a category dont do a company, build an institution rather than having a thesis, develop an ontology 1.5K views · 38 likes · 3 reposts · 8 replies Open on X →
Introducing an upgraded build of Blanket! Improved matching, specific weather markets, more analytics, and an improved UI. Moreover, S&P 500 companies are matched with real and hypothetical KPI markets in Wedgebook. Try it out. https://t.co/jzcA8Yxrdd https://t.co/cmD5omtKb 4.2K views · 64 likes · 4 reposts · 12 replies Open on X →
Introducing Blanket! Blanket helps small businesses find relevant @Kalshi markets for hedging risk and running promotions. Describe your business risks and it will help identify the Kalshi markets that fit. Blanket is a research product and will be open sourced after testing. 311.1K views · 1.1K likes · 48 reposts · 144 replies Open on X →
@lzminsky @iatskar @gondorfi Can vouch Dinners with Lauris are top tier 115 views · 3 likes · 0 reposts · 0 replies Open on X →
@lzminsky @iatskar @gondorfi insane lineup, makes me want to extend 149 views · 4 likes · 0 reposts · 1 replies Open on X →
@lzminsky @iatskar @gondorfi 👀 607 views · 3 likes · 0 reposts · 1 replies Open on X →
hosting a private prediction markets dinner in nyc next tue with @iatskar at the @gondorfi (with a small caveat that I may or may not make it, will know in a few days :D). regardless, the existing guest list is great and there's a few more spots open. great founders and https:
7K views · 63 likes · 3 reposts · 13 replies Open on X →
@lzminsky 👀 341 views · 14 likes · 0 reposts · 2 replies Open on X →
@lzminsky If I had just done stats….. 2.5K views · 7 likes · 0 reposts · 1 replies Open on X →
@lzminsky this is the "read the wiki" of rich people finance lore lowkey motivational tho lol 1.9K views · 6 likes · 0 reposts · 1 replies Open on X →
You could literally just read economics at the LSE, sit Part III at Cambridge and stay on for the PhD in stochastic filtering, get a seat at a Berkeley Square macro pod that runs a bigger gilt book than half the primary dealers, buy the four-bed lateral at Clarges overlooking htt 780K views · 354 likes · 14 reposts · 26 replies Open on X →

Rispetto ad account della stessa dimensione

8 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a più persone rispetto ad account della stessa dimensione.

Visualizzazioni mediane1 784questo account924mediana per 10K–100K
Copertura, %17.06%questo account3.62%mediana per 10K–100K
Interazione, %1.63%questo account1.52%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post1 7849241.93×
Copertura (visualizzazioni ÷ follower)17.06%3.62%4.71×
Tasso di interazione1.63%1.52%1.07×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

2.5K24 May
34125 May
7K16 Jul
607
149
115
311.1K11 Aug
4.2K3 Sep
1.5K
21.2K4 Sep
1.2K
2K5 Sep
1.1K10 Sep
316

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

0.32%24 May
4.69%25 May
1.13%16 Jul
0.66%
3.36%
2.61%
0.42%11 Aug
1.89%3 Sep
3.24%
1.68%4 Sep
2.04%
0.35%5 Sep
0.97%10 Sep
1.58%

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

What the audience does

Likes75.6%1 939 in total
Reposts3.9%100 in total
Replies9.6%246 in total
Quotes3.2%81 in total
Bookmarks7.7%198 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.

Account simili