Shravan Venkataraman ✓

@theBuoyantMan · India · joined 19 Apr 2015

Building quantitative research systems for @hemis_research @earningsq

26 069Followers

51Following

3 491Posts total

125.7KViews on collected posts

Últimas publicaciones

Shravan Venkataraman ✓@theBuoyantMan15 Sep

@theBuoyantMan Soon there will be GST on this transaction. Just watch for clarification from CBIC. 1.9K views · 55 likes · 4 reposts · 3 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan15 Sep

@theBuoyantMan 0 IQ is required for making policies in this country 1.8K views · 48 likes · 1 reposts · 0 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan15 Sep

@theBuoyantMan 300 is also big amount as almost all transfer to broker for fund will be more than 75000 only 1.8K views · 16 likes · 0 reposts · 1 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan15 Sep

SEBI mandates broker send out all idle funds to the account, and now government mandates 300 rupees on UPI transaction even if you're sending back to your brokerage account the same money that was originally there. Achche Din 46.1K views · 1.4K likes · 196 reposts · 21 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan13 Sep

Consumers would rather go back to cash. 598 views · 3 likes · 0 reposts · 2 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan13 Sep

One of the neater features we are working on is to shortlist stocks by free float market cap instead of simple market cap. When free float market cap vs actual market cap is very low, that presents an opportunity for a significant move given all other conditions are conducive. h

375 views · 1 likes · 0 reposts · 0 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan13 Sep

Shovel selling guy has already sold $1B+ in nvidia stock and secured the bag for himself. Rest he'll ride it out. 614 views · 1 likes · 0 reposts · 0 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan13 Sep

Either we are going to have the most glorious crash across ai buildout and datacenter theme, or we are going to have a parabolic rise up. No in between. 673 views · 2 likes · 0 reposts · 0 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan12 Sep

You’re paying 4× more for RAM because memory that hasn’t been made has already been bought with money that doesn’t exist. The GPUs haven’t been built. Neither have the data centers. The infrastructure to power them may never exist. All to satisfy demand that doesn’t exist and h

0:20

51.3K views · 796 likes · 204 reposts · 23 replies Open on X →

Shravan Venkataraman ✓@theBuoyantMan9 Jul

If you want to do something very close to professional software development, but without writing code manually, this is the workflow I follow. Hope this helps. Install mattpocock skills on your copilot/claude/codex/opencode. Here's how to use it in a step by step manner. 20.6K views · 85 likes · 12 reposts · 3 replies Open on X →

Frente a cuentas del mismo tamaño

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

Visualizaciones medianas1 762esta cuenta924mediana de 10K–100K

Alcance, %6.76%esta cuenta3.62%mediana de 10K–100K

Interacción, %0.94%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	1 762	924	1.91×
Alcance (visualizaciones ÷ seguidores)	6.76%	3.62%	1.87×
Tasa de interacción	0.94%	1.52%	0.62×

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

20.6K9 Jul

51.3K12 Sep

67313 Sep

614

375

598

46.1K15 Sep

1.8K

1.9K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.49%9 Jul

1.99%12 Sep

0.30%13 Sep

0.16%

0.27%

0.84%

3.46%15 Sep

0.94%

2.78%

3.26%

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

What the audience does

Likes75.0%2 374 in total

Reposts13.2%417 in total

Replies1.7%53 in total

Quotes0.4%13 in total

Bookmarks9.7%308 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

13 Sep

Daily snapshots since 13 Sep 2026; the dashed line is the starting count.

Últimas publicaciones

Frente a cuentas del mismo tamaño

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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