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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

Neueste Beiträge

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 →
@atShruti Our agents are fully deterministic. 89 views · 2 likes · 0 reposts · 0 replies Open on X →
@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 →
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 →
@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 →
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 →
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 →
@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 →
@atShruti Hmm 131 views · 5 likes · 1 reposts · 0 replies Open on X →
https://t.co/ekfIMI1C9g 80.4K views · 310 likes · 18 reposts · 67 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit über das eigene Publikum hinaus gezeigt, und es reagiert.

Medianaufrufe2 799dieses Konto924Median für 10K–100K
Reichweite, %9.76%dieses Konto3.62%Median für 10K–100K
Interaktion, %2.00%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag2 7999243.03×
Reichweite (Aufrufe ÷ Follower)9.76%3.62%2.70×
Interaktionsrate2.00%1.52%1.31×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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
89
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.

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