LlamaIndex 🦙 ✓

@llama_index · joined 18 Dec 2022

The most accurate agentic OCR platform for production AI. LlamaParse: https://t.co/yQGTiRSNvj Docs: https://t.co/us6GCS1Clb

119 626Followers

37Following

4 010Posts total

361.8KViews on collected posts

Against accounts of the same size

8 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views5 303this account5 930median for 100K–1M

Reach, %4.43%this account2.48%median for 100K–1M

Engagement, %0.20%this account1.41%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	5 303	5 930	0.89×
Reach (views ÷ followers)	4.43%	2.48%	1.79×
Engagement rate	0.20%	1.41%	0.14×

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

322.5K13 Aug

2021 Aug

12.8K31 Aug

9.1K2 Sep

15.8K3 Sep

1.6K4 Sep

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

0.01%13 Aug

0.00%

0.00%21 Aug

0.41%31 Aug

0.45%2 Sep

0.39%3 Sep

0.00%

0.52%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.41%.

What the audience does

Likes53.7%139 in total

Reposts9.7%25 in total

Replies9.3%24 in total

Quotes2.7%7 in total

Bookmarks24.7%64 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.

Latest posts

Does paying 5x more per page actually get you better document extraction? We ran the data to find out. We evaluated 14 frontier systems across 370 enterprise documents, then plotted their accuracy against cost per page. The biggest takeaway? Higher cost does not equal better htt 1.6K views · 5 likes · 2 reposts · 1 replies 04 Sep 2026 @llama_index 4× faster with comparable accuracy is a pretty big upgrade ⚡️ Definitely worth trying. 80 views · 0 likes · 0 reposts · 0 replies 03 Sep 2026 Document extraction just got a new gear. ⚡️ Introducing Turbo mode for Extract, our fastest way yet to pull structured data from documents. It runs roughly 4× faster than our Cost Effective Tier at comparable accuracy, with a median latency of 3.7 seconds a page. Turbo https:// 15.8K views · 43 likes · 11 reposts · 6 replies 03 Sep 2026 ExtractBench is now live on @Kaggle. It tests schema-guided document extraction on the documents most likely to break downstream agents and workflows, including long record lists, noisy scans, handwriting, and complex tables. The benchmark covers 370 enterprise documents across 9.1K views · 31 likes · 6 reposts · 3 replies 02 Sep 2026 LlamaParse is officially a verified connector on Claude! 🦙 Claude is perfectly fine for the occasional text-only PDF. But most of the context your agent needs lives in messy PDFs, spreadsheets, scanned forms, dense tables, and charts. Feeding those docs straight to the model h 12.8K views · 39 likes · 4 reposts · 7 replies 31 Aug 2026 @llama_index Huge boost for document parsing. More credits, more building. 20 views · 0 likes · 0 reposts · 0 replies 21 Aug 2026 @llama_index tripling credits only for the first month is a smart hook to get teams to actually test the pro parsing at scale 62 views · 0 likes · 0 reposts · 0 replies 13 Aug 2026 🦙☀️ It’s a hot Llama summer, and it pays to be a PRO at document parsing. For a limited time, upgrade to the LlamaParse Pro plan and we'll triple your credits: 400K → 1.2M credits in your first month. That's $1,000 (~80k pages) of parsing, free. No code, applied https://t.co/cF 322.5K views · 21 likes · 2 reposts · 7 replies 13 Aug 2026