LangChain ✓
@LangChain · joined 05 Nov 2022
Own your intelligence. Makers of LangSmith, @LangChain_OSS, and @LangChain_JS.
266 653Followers
194Following
11 685Posts total
642KViews on collected posts
Posts recentes
Procurando novos posts…
@LangChain the following go very hard:
1. ultra cheap online evals at scale
2. ultra cheap RL judge verifiers
3. Jev
362 views · 3 likes
· 0 reposts · 0 replies
Open on X →
@LangChain glad someone scored the judges on latency and cost too, not just accuracy
6.6K views · 22 likes
· 0 reposts · 2 replies
Open on X →
We tested Jev against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach to agent evaluation. https://t.co/hrqdNpm0g8
484K views · 2.5K likes
· 316 reposts · 161 replies
Open on X →
LangSmith for Startups: @raspberry__ai
✅ The agentic platform for fashion.
✅ Works alongside design teams on their boards and turns plain-English requests into finished renders, tech packs, and campaign imagery in minutes.
✅ Runs the full lifecycle of its LangGraph agent on http
9.8K views · 42 likes
· 10 reposts · 7 replies
Open on X →
0:25
You won't want to miss this -- @sydneyrunkle with a detailed breakdown of LangChain's MCP revamp and support for the new, stateless spec!
10.2K views · 16 likes
· 2 reposts · 5 replies
Open on X →
ICYMI -- yesterday we released support for the new MCP protocol in @LangChain !! what do you need to know?
1. MCP support is now in the main langchain package! get started with `uv pip install 'langchain[mcp]'`
2. it's now built on top of FastMCP v4; FastMCP has ergonomic
14.9K views · 41 likes
· 4 reposts · 6 replies
Open on X →
We’re looking for someone to lead SmithDB at LangChain!
SmithDB is the database we’ve built from the ground up to power LangSmith. It’s optimized specifically for the access patterns that emerge when you’re storing and querying enormous volumes of agent traces.
It’s serving
34.7K views · 37 likes
· 9 reposts · 5 replies
Open on X →
Clay's agents are running longer and taking more steps.
LangSmith's threads feature is how they keep every one traceable. https://t.co/iKVyY68ngD
8.8K views · 12 likes
· 5 reposts · 3 replies
Open on X →
0:29
In 2 weeks, the LangSmith Roadshow comes to Dallas!
✅ @hwchase17 keynote on the state of agent development.
✅ Hands-on workshops on Deep Agents + LangSmith Engine
Spaces are limited. RSVP today! https://t.co/jSX8faS6ge
2.3K views · 3 likes
· 0 reposts · 1 replies
Open on X →
Happening today!
An evening of technical talks, meeting builders, and end-of-summer vibes with @PrimeIntellect + @baseten!
https://t.co/N3Vq4lLUZi
3.2K views · 10 likes
· 2 reposts · 0 replies
Open on X →
Before LangSmith deployments existed, @PodiumHQ hand-rolled and rebuilt their own agent runtimes.
Once LangSmith deployments existed, migrating was an easy call. https://t.co/cDqzmQEnEl
4.5K views · 17 likes
· 3 reposts · 5 replies
Open on X →
@LangChain I have 5 members currently interested, is there a promo code to use.
43 views · 2 likes
· 1 reposts · 0 replies
Open on X →
@LangChain hey is there a promo code we can use. three of our staff members want to join this.
77 views · 2 likes
· 1 reposts · 0 replies
Open on X →
@LangChain @PeterMarirosans @KabraVarunkabra @BBilowitzki save the date October 13th London @LangChain @Concordium
387 views · 2 likes
· 0 reposts · 0 replies
Open on X →
We're taking Interrupt on the road this fall with two new stops in NYC and London.
🗽 NYC: September 24
🇬🇧 London: October 13
Get your tickets now! https://t.co/fPMwmmdSxf https://t.co/2E5fpFNGec
43.2K views · 68 likes
· 13 reposts · 20 replies
Open on X →
0:13
0:15
Em comparação com contas do mesmo porte
16 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações5 622esta conta5 983mediana para 100K–1M
Alcance, %2.11%esta conta1.49%mediana para 100K–1M
Engajamento, %0.37%esta conta0.93%mediana para 100K–1M
| Métrica | Esta conta | Mediana para 100K–1M | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 5 622 | 5 983 | 0.94× |
| Alcance (visualizações ÷ seguidores) | 2.11% | 1.49% | 1.41× |
| Taxa de engajamento | 0.37% | 0.93% | 0.40× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
4.5K2 Sep
4.6K
3.2K
2.3K
8.8K4 Sep
34.7K
12.3K
14.9K
10.2K
9.8K
484K19 Sep
6.6K
2.1K20 Sep
362
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
0.56%2 Sep
0.46%
0.38%
0.18%
0.24%4 Sep
0.16%
0.32%
0.37%
0.24%
0.60%
0.65%19 Sep
0.36%
0.33%20 Sep
0.83%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes39.4%2 880 in total
Reposts5.1%372 in total
Replies3.1%223 in total
Quotes1.6%115 in total
Bookmarks50.8%3 712 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.
Contas semelhantes
Віталій Кличко ✓
@Vitaliy_Klychko
533.3K followers
· 1.7K posts
Kay Burley ✓
@KayBurley
533.3K followers
· 93.4K posts
karIA ✓
@kari_ok6
533.2K followers
· 33.9K posts
週刊文春
@shukan_bunshun
533.2K followers
· 67.4K posts
Reinaldo Gottino
@RGottino
533.1K followers
· 49.1K posts
PEEMWASU ✓
@PEEMWASU_
533.1K followers
· 2.3K posts
Sarah Michelle
@SarahMGellar
533.1K followers
· 4.6K posts
Paul Williams ✓
@freemonotheist
533K followers
· 129.2K posts