Praveen Neppalli ✓
@praveenTweets · San Francisco, CA · joined 06 May 2009
Chief Technology Officer @Uber
12 654Followers
631Following
1 476Posts total
825KViews on collected posts
Latest posts
Looking for new posts…
@praveenTweets Do check out @sailresearchco to power your agents on open source, with unbeatable economics. cc: @neilmovva
345 views · 4 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets Super interesting!
Thanks for sharing. 👍🏻
1.2K views · 1 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets This is a really impressive look at what an AI-native software factory actually looks like at scale.
What I particularly like is that Uber isn’t treating agents as just “better coding assistants.”
They are measuring them like an engineering system: cost, quality,
160 views · 1 likes
· 0 reposts · 0 replies
Open on X →
It was great to visit our @Uber AV Labs team with @sachinkansal and see firsthand the progress we’re making to accelerate the entire AV ecosystem.
We launched AV Labs earlier this year with a simple goal: to build the world’s most geographically diverse, high-quality dataset for
12.2K views · 108 likes
· 10 reposts · 9 replies
Open on X →
@praveenTweets @_balaji_km “Not because” + sth sth + “but because”
Message received 🙂🙂↕️
5.1K views · 10 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets @_balaji_km “ Not because we've restricted access” sounds like Claude
9.8K views · 35 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets @_balaji_km https://t.co/L4UIcrl0rl
20.7K views · 46 likes
· 4 reposts · 1 replies
Open on X →
As our CFO @_balaji_km mentioned at earnings today, we’re seeing some very interesting trends on AI costs. I think it’s another signal that we’re coming to the end of the so-called ‘tokenmaxxing’ era.
Here’s what’s been happening behind the scenes.
Since the beginning of the
500.5K views · 1.6K likes
· 147 reposts · 74 replies
Open on X →
@praveenTweets @Uber 50k sessions a day is a lot of surface for injected PR text to hijack. the fix is a CI verifier with read-only access and zero live credentials, worth seeing why that boundary actually matters
https://t.co/qR8uF2aWJA
96 views · 1 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets @Uber At 50k sessions/day, the real exposure sits in the retry and auth logic between endpoints, not the agents. 30 Claude Code commands I run every day
https://t.co/dhgcG6wZ5s
2.2K views · 2 likes
· 0 reposts · 0 replies
Open on X →
@praveenTweets @Uber @praveenTweets 146 days at https://t.co/RmNtGU0PBv, 20 unsupervised cron jobs. your data confirms what i see from the agent side - credential handling is the daily risk, prompt injection is the conference talk. does ADR distinguish between a leaked secret and
11 views · 2 likes
· 0 reposts · 0 replies
Open on X →
AI agents are everywhere at @Uber. It’s great to see, but the thing that keeps me up at night is how we are going to secure them. This is something that I have been thinking about for a while.
Today, our agents run 50,000+ sessions per day across thousands of endpoints. And this
240.1K views · 578 likes
· 98 reposts · 35 replies
Open on X →
Against accounts of the same size
3 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, weaker reaction than most.
Median views345this account924median for 10K–100K
Reach, %2.73%this account3.62%median for 10K–100K
Engagement, %0.62%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 345 | 924 | 0.37× |
| Reach (views ÷ followers) | 2.73% | 3.62% | 0.75× |
| Engagement rate | 0.62% | 1.52% | 0.41× |
Others in this range → Compare with another account → How these benchmarks are built →
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
14.8K28 Apr
240.1K1 Aug
112 Aug
17.8K
2.2K
96
500.5K5 Aug
20.7K6 Aug
9.8K
5.1K
12.2K7 Aug
16027 Aug
1.2K
345
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
0.49%28 Apr
0.31%1 Aug
18.18%2 Aug
0.06%
0.09%
1.04%
0.37%5 Aug
0.25%6 Aug
0.36%
0.19%
1.06%7 Aug
0.62%27 Aug
0.08%
1.16%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes48.3%2 448 in total
Reposts5.2%266 in total
Replies2.5%126 in total
Quotes1.8%90 in total
Bookmarks42.2%2 143 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.
Similar accounts
Gregory Alan Isakov
@GregoryAIsakov
25.3K followers
· 827 posts
Tyler Goodro ✓
@goodrocatching
25.3K followers
· 8.6K posts
Blue Minutes ✓
@bluemintues
25.3K followers
· 2.1K posts
Dr. Nagajothi 👩🏽⚕️ ✓
@DrNagajothi11__
25.3K followers
· 22.9K posts
Doç. Dr. Şafak Başa ✓
@SafakBasa
25.3K followers
· 9.6K posts
Manchester United Argentina 🇦🇷 ✓
@mutdargentina
25.3K followers
· 45.3K posts
Elizabeth.Zea ✓
@EliZea_derecho
25.3K followers
· 47.3K posts
Kenny Perry 🌵
@CoachKennyPerry
25.3K followers
· 1.8K posts
Frequently asked questions about @praveenTweets
How many followers does @praveenTweets have?
12 654 followers.
How many posts has @praveenTweets published?
1 476 posts.
How do posts by @praveenTweets perform?
Collected posts: 14. Views: 825 047. Likes: 2 448.