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Chaos Labs ✓

@chaoslabs · NYC & TLV · joined 26 Oct 2021

Building intelligence that compounds.

38 676Followers
2Following
2 906Posts total
695.5KViews on collected posts

Последние посты

UPDATE: @AIatMeta’s Muse Spark is now 3 Elo points away from breaking Anthropic’s five-month hold on @Arena’s text leaderboard. Muse Spark has climbed from #8 to #4 and currently sits at 1,499; just 3 points behind Opus 4.7. https://t.co/2RTLVpDdsw
GIF
27.9K views · 24 likes · 3 reposts · 2 replies Open on X →
Identical model weights, 9.5x price gap Per data from @huggingface router, the same open-weight model can cost up to 9.5x more depending on which inference provider serves it. https://t.co/V4mwtQ0lcU
3.8K views · 14 likes · 2 reposts · 2 replies Open on X →
@chaoslabs applying for the FDE role i’ve built realtime DeFi/risk dashboards, customer-facing demos supporting $1m+ in deals also AI agent workflows + MCP tooling, and data systems across 100+ chains feels very aligned with shipping directly with customers would love to chat! 122 views · 2 likes · 0 reposts · 0 replies Open on X →
@chaoslabs Hi! My company Plank (https://t.co/lwILiLegiH) specializes in AI native FDEs! If you'd like to keep the momentum going while looking for a full-time engineer, we can help! 579 views · 0 likes · 0 reposts · 1 replies Open on X →
@chaoslabs Hope you find the best ones 347 views · 0 likes · 0 reposts · 0 replies Open on X →
UPDATE: Chaos Labs is hiring for the following roles > Forward Deployed Engineers > Senior AI Data Scientists > Senior Full-Stack AI Engineers Remote or NYC. Come build with us → https://t.co/nVpYKsOWHi https://t.co/F36OG2b5MA
35.3K views · 53 likes · 6 reposts · 5 replies Open on X →
Inference prices vary dramatically across providers running identical model weights For example, Llama 3.3 70B costs $0.135 per 1M input tokens on @novita_labs vs. $1.04 per 1M input tokens on @togethercompute. A 7.7x gap in input inference pricing for the same model. https://
15.4K views · 32 likes · 2 reposts · 4 replies Open on X →
Anthropic has held the top 3 spots on @Arena's text leaderboard since April Open-weight models like Kimi K3 and GLM-5.2 have broken through on coding boards. But when it comes to text-based tasks, Claude still dominates. https://t.co/jokVPfBXLF
GIF
14.4K views · 21 likes · 4 reposts · 5 replies Open on X →
@chaoslabs @0xGeeGee got replaced ☠️ 3.7K views · 13 likes · 1 reposts · 3 replies Open on X →
https://t.co/xJcvH8jqlj
7.7K views · 49 likes · 3 reposts · 4 replies Open on X →
4/ Chaos AI is launching in closed beta. If you’re a developer, researcher, investor, or student, we want you to try it first. Read our full announcement for more details: https://t.co/hGwORYidCU 8.9K views · 54 likes · 5 reposts · 4 replies Open on X →
5/ Sign-up for Early Access at https://t.co/Vu2NJpa4ib 22.7K views · 67 likes · 8 reposts · 6 replies Open on X →
3/ Since 2021, Chaos Labs has defined the industry's risk management standard, safeguarding trillions in trading volume for leading protocols while strengthening financial market resilience through unprecedented volatility. As a small and nimble team, we created Chaos AI to 10.6K views · 56 likes · 6 reposts · 3 replies Open on X →
1/ Introducing Chaos AI—The World’s First AI-Powered Crypto Researcher. Built on years of proprietary data from securing trillions in trading volume, Chaos AI transforms fragmented market data into institutional-grade financial intelligence. Get Early Access: https://t.co/C0psR
1:55
530.6K views · 2.2K likes · 788 reposts · 312 replies Open on X →
2/ What Can You Do with Chaos AI? > Build Investment Conviction: Ask any question and receive hedge fund-quality analysis in seconds > Generate Deep Research: Create detailed research reports and iterate on custom data visualizations > Verify Information: Access citations and 13.5K views · 66 likes · 7 reposts · 1 replies Open on X →

На фоне аккаунтов своего размера

8 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.

Медианные просмотры9 108этот аккаунт924медиана для 10K–100K
Охват, %23.55%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %0.20%этот аккаунт1.52%медиана для 10K–100K
ПоказательЭтот аккаунтМедиана для 10K–100KОтношение
Медианные просмотры на пост9 1089249.86×
Охват (просмотры ÷ подписчики)23.55%3.62%6.51×
Вовлечённость0.20%1.52%0.13×

Другие в этом диапазоне →   Сравнить с другим аккаунтом →   Как считаются эти ориентиры →

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

530.6K13 Mar
10.6K
22.7K
8.9K
7.7K
3.7K
14.4K20 Jul
15.4K5 Aug
35.3K6 Aug
347
5797 Aug
122
3.8K8 Aug
27.9K12 Aug

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

0.64%13 Mar
0.61%
0.38%
0.71%
0.73%
0.46%
0.22%20 Jul
0.26%5 Aug
0.19%6 Aug
0.00%
0.17%7 Aug
1.64%
0.49%8 Aug
0.10%12 Aug

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

What the audience does

Likes57.8%2 604 in total
Reposts18.5%835 in total
Replies7.8%352 in total
Quotes3.2%142 in total
Bookmarks12.6%569 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

7 Sep

Daily snapshots since 07 Sep 2026; the dashed line is the starting count.

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