Baseten ✓
@baseten · San Francisco and New York · joined 26 Mar 2021
Inference is everything.
19 472Followers
87Following
2 947Posts total
195.5KViews on collected posts
Latest posts
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Web search is now a first-class citizen for open models, only on Baseten.
Baseten Hosted Tools and Baseten Grounded Inference bring real-time, server-side web search to your favorite open models via multiple providers: @youdotcom, @p0, @KeenableAI, and @ExaAILabs.
1.2K views · 16 likes
· 1 reposts · 0 replies
Open on X →
Until now, adding web search to open-source models meant hand-wiring orchestration, managing separate keys, and paying latency taxes on every round trip.
Today, we're solving that. We're excited to introduce Baseten Hosted Tools and Baseten Grounded Inference to bring real-time
11.3K views · 64 likes
· 9 reposts · 8 replies
Open on X →
0:26
We're proud to support the @LangChain team as they train custom models to outperform the frontier for LangSmith Engine with Baseten Loops.
Loops gives LangChain managed fine-tuning infrastructure and a direct path from training checkpoints to production inference.
1.9K views · 19 likes
· 0 reposts · 1 replies
Open on X →
We’re excited to keep pushing the open-source AI ecosystem forward.
11.7K views · 139 likes
· 7 reposts · 2 replies
Open on X →
We released a remote MCP server and skill so coding agents can operate the Baseten platform faster and more efficiently.
Using both, our benchmarks show that token usage, cost, and time to complete a task are reduced by 7.5% on average, and up to 57% for operation-heavy tasks.
3.9K views · 58 likes
· 2 reposts · 2 replies
Open on X →
Today, we're releasing GLM-5.3 Fast: one of the most intelligent open-weight models ever at an even higher TPS.
Designed for real-time use cases that demand consistent performance.
Get access here: https://t.co/YoheQJVWZp https://t.co/cL3dKRxfaO
17K views · 208 likes
· 10 reposts · 13 replies
Open on X →
We're excited to sponsor PACT (Pressure-Applied Compliance Testing), a new benchmark for enterprise assistant rule-following in regulated domains (like HIPAA, hiring law, and GDPR).
The two highest-scoring models are open-weight. GLM-5.3 and GLM-5.3-Flash are the
3.4K views · 43 likes
· 1 reposts · 5 replies
Open on X →
Introducing PACT: a benchmark for whether enterprise AI assistants keep following workplace rules when breaking them is the convenient option.
We tested 24 models. The two best are open-weight, and one of them is 27B.
Leaderboard, paper, and code: https://t.co/6lhIzKGacS https:
6.3K views · 24 likes
· 1 reposts · 2 replies
Open on X →
We're honored to be named a 2026 IA40 winner!
The IA40 recognizes the 40 most important private companies in applied AI, and we're proud to be included among so many of our customers and friends. https://t.co/WFmqlA7rVp
3K views · 75 likes
· 2 reposts · 5 replies
Open on X →
"If you're not taking care of yourself, you're not writing good code."
We were honored to host @bryan_johnson and @saranormous at our office for a live discussion with some of our customers and friends. Thank you to everyone who joined us. 💚
3.7K views · 29 likes
· 0 reposts · 2 replies
Open on X →
Our kernel engineers built an agentic framework to automatically find, build, validate, and ship optimized kernels into production.
The new framework cut latency on Qwen-Image by 42.3%, and FLUX.2 by 15.2%.
14.4K views · 144 likes
· 7 reposts · 3 replies
Open on X →
GLM-5.3 is live on Baseten Model APIs, day 0.
- The smartest open-weight model at 743B params
- 1M token context
- US only
- ZDR
Try it here: https://t.co/sa0STDAIw9 https://t.co/YA6dGAAv1o
18.1K views · 69 likes
· 5 reposts · 5 replies
Open on X →
Against accounts of the same size
16 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views6 294this account924median for 10K–100K
Reach, %32.32%this account3.62%median for 10K–100K
Engagement, %0.96%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 6 294 | 924 | 6.81× |
| Reach (views ÷ followers) | 32.32% | 3.62% | 8.93× |
| Engagement rate | 0.96% | 1.52% | 0.63× |
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
3.7K31 Aug
3K1 Sep
6.3K
3.4K
17K3 Sep
6.3K
3.9K
11.7K
67.4K10 Sep
22K15 Sep
1.9K
11.3K16 Sep
3.9K
1.2K
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
0.85%31 Aug
2.76%1 Sep
0.46%
1.43%
1.36%3 Sep
0.55%
1.64%
1.26%
0.26%10 Sep
0.15%15 Sep
1.05%
0.77%16 Sep
0.86%
1.43%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes68.2%1 090 in total
Reposts4.3%68 in total
Replies3.9%62 in total
Quotes3.4%55 in total
Bookmarks20.2%323 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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