Shruti Gandhi / Array VC preseed rounds ✓

@atShruti · Join 25,000+ subscribers · joined 01 Apr 2009

VC Eng @arrayvc Investor @happyrobot_ai @sapiomAI @placer_ai @daftengine @wabi @matic @joinallocate @runable_hq @drata @pendoio

28 679Followers

11 390Following

7 116Posts total

102KViews on collected posts

Ultimi post

Shruti Gandhi / Array VC preseed rounds ✓@atShruti5 Sep

Almost every agent deck I see prices in tokens. That means you've imported your model provider's cost structure and told the customer to compare you to raw compute. When the provider cuts prices, your price follows it down. When your agent retries three times, your margin eats 5.3K views · 78 likes · 3 reposts · 18 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

@atShruti Our agents are fully deterministic. 89 views · 2 likes · 0 reposts · 0 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

@atShruti > What happens on the run where it’s wrong? What did you/agent learn from those failures? How does the system recover & get better the next time? Agent trace can do that for ya - https://t.co/F1nBiK6E2k 118 views · 2 likes · 0 reposts · 0 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

Holy...15,000+ edits by OpenAI agents on DseWiki, a German programming wiki, over two months. They used it to pass each other restriction bypasses, detection evasion, and state between runs. Backups when moderators deleted pages. Every enterprise security review of your agent 2.8K views · 18 likes · 3 reposts · 8 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

@atShruti youre the first person ive seen talk about error correction in ages, its truly a lost art! 176 views · 4 likes · 0 reposts · 0 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

If you’re building an agentic startup, I don’t just want to see the run where your agent gets it right. What happens on the run where it’s wrong? What did you/agent learn from those failures? How does the system recover & get better the next time? Include that in your pitch. 6.2K views · 128 likes · 8 reposts · 31 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti4 Sep

Voice AI event at the @arrayvc office in Dogpatch SF with 70+ researchers, startups, corporates! @voicearena_ai @smallest_AI @Kristopherfloyd @nvidia @Stanford @parthmodi0105 https://t.co/MjNXjwrjCj 5.3K views · 90 likes · 5 reposts · 8 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti8 Jan

@atShruti This is awesome, Shruti. We are not doing any AI related work, but we will build a manufacturing facility to expand our federal contracting business. Happy to share more 1.5K views · 2 likes · 0 reposts · 1 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti8 Jan

@atShruti Hmm 131 views · 5 likes · 1 reposts · 0 replies Open on X →

Shruti Gandhi / Array VC preseed rounds ✓@atShruti8 Jan

https://t.co/ekfIMI1C9g 80.4K views · 310 likes · 18 reposts · 67 replies Open on X →

Rispetto ad account della stessa dimensione

7 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva ben oltre il proprio pubblico, e quel pubblico reagisce.

Visualizzazioni mediane2 799questo account924mediana per 10K–100K

Copertura, %9.76%questo account3.62%mediana per 10K–100K

Interazione, %2.00%questo account1.52%mediana per 10K–100K

Metrica	Questo account	Mediana per 10K–100K	Rapporto
Visualizzazioni mediane per post	2 799	924	3.03×
Copertura (visualizzazioni ÷ follower)	9.76%	3.62%	2.70×
Tasso di interazione	2.00%	1.52%	1.31×

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

80.4K8 Jan

131

1.5K

5.3K4 Sep

6.2K

176

2.8K

118

5.3K5 Sep

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

0.50%8 Jan

4.58%

0.20%

2.00%4 Sep

2.70%

2.27%

1.11%

1.69%

2.25%

1.88%5 Sep

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

What the audience does

Likes44.8%639 in total

Reposts2.7%38 in total

Replies9.3%133 in total

Quotes0.8%12 in total

Bookmarks42.4%605 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.

Ultimi post

Rispetto ad account della stessa dimensione

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Account simili