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Jyoti Bansal ✓

@jyotibansalsf · San Francisco · joined 26 Mar 2011

Founder @harnessio — AI agents for everything after code. Previously founded @appdynamics ($3.7B Cisco acq.) & @traceableai (API Security). VC @unusual_vc

43 864Followers
253Following
2 125Posts total
6.6KViews on collected posts

Últimas publicaciones

@jyotibansalsf We got a lot of things cooking! 🧑‍🍳 31 views · 1 likes · 0 reposts · 0 replies Open on X →
@jyotibansalsf 💪 41 views · 1 likes · 0 reposts · 0 replies Open on X →
@jyotibansalsf The best kind of startup energy: rebuilding without needing a new logo. Reinvention inside an existing company is where the real product and culture work gets spicy. 12 views · 1 likes · 0 reposts · 0 replies Open on X →
This year, it feels like I started my fourth startup. Except it’s not a new company. It’s still Harness. We’ve been rethinking and rebuilding so much of the company that, in many ways, it feels like we’re building a new startup inside the company we already have. I talked with
1.9K views · 31 likes · 1 reposts · 3 replies Open on X →
Unscripted 2026, @harnessio’s AI software delivery conference, kicks off this Thursday in San Francisco. This year feels particularly important because software development is going through a fundamental shift. AI is making it much easier to write code, but that’s moving the htt
0:11
635 views · 4 likes · 1 reposts · 0 replies Open on X →
Writing code with AI is becoming the easy part. Reviewing it, governing it, and shipping it safely is the new bottleneck. Today we're launching agent-ready Harness Code Repository with built-in AI Code Review. Most source control systems — GitHub included — were built around h
0:24
1.6K views · 13 likes · 0 reposts · 2 replies Open on X →
Great perspective from @jvrionis. 1.4K views · 5 likes · 0 reposts · 0 replies Open on X →
Always great to catch up with @jonfortt. We talked about where AI is taking software engineering and a few themes that I think will shape what's next. The biggest one: AI needs a safety harness. As AI generates more code and autonomous agents take on more responsibility, https:
1.1K views · 8 likes · 1 reposts · 1 replies Open on X →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a menos gente que cuentas de su tamaño.

Visualizaciones medianas858esta cuenta924mediana de 10K–100K
Alcance, %1.96%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.45%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación8589240.93×
Alcance (visualizaciones ÷ seguidores)1.96%3.62%0.54×
Tasa de interacción1.45%1.52%0.95×

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

1.1K30 Jul
1.4K11 Aug
1.6K27 Aug
6359 Sep
1.9K14 Sep
12
41
31

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.92%30 Jul
0.37%11 Aug
1.03%27 Aug
0.79%9 Sep
1.86%14 Sep
8.33%
2.44%
3.23%

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

What the audience does

Likes75.3%64 in total
Reposts3.5%3 in total
Replies7.1%6 in total
Quotes1.2%1 in total
Bookmarks12.9%11 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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