tweetindex
TH

Kleros ✓

@Kleros_io · Ethereum · joined 15 Aug 2017

⚖️ A decentralized arbitration protocol for disputes in the onchain economy. We're Hiring! https://t.co/R0pFNn2wVi $PNK | https://t.co/cZYQituHNd

36 744Followers
658Following
8 487Posts total
326.6KViews on collected posts

โพสต์ล่าสุด

🔎 Everything said on a Kleros community call is now searchable. Try agents, futarchy or Scout. The timeline shows when the topic first came up, and every result opens the recording at the second it was said. ↓ 490 views · 3 likes · 1 reposts · 0 replies Open on X →
first version of something i've been wanting to do for a long time all the transcripts of the @kleros_io community calls in one place with search! thanks to the weekend claude limit reset and a sprinkle of astra link below https://t.co/pBdj0s31F3
0:27
615 views · 6 likes · 0 reposts · 1 replies Open on X →
Who earned the most on Scout in July? Six addresses split 312,052 PNK, about $2,600. Number one took 150,938 PNK alone: Hyperlane contracts, https://t.co/1fzutql3jS Cash and 99 dapp domains, most of them paid at the 500 PNK cap. Your profile now shows what every submission http
1:32
1K views · 10 likes · 5 reposts · 1 replies Open on X →
@Kleros_io https://t.co/tABFmGWkHW
8 views · 0 likes · 0 reposts · 0 replies Open on X →
A consumer claim against an airline takes one to five years in Dominican courts. Joan Bisonó, a Kleros fellow, proposes an appeal layer inside the airline's own claims process, at no cost to the passenger. https://t.co/MFPvxjj0pM 111 views · 1 likes · 0 reposts · 1 replies Open on X →
The whole conversation from Wednesday: bonding agents like validators, the hard cases paper, what the first agentic court tests showed, and the research program that follows. Every Wednesday, 6pm UTC. https://t.co/KGdtjIurIX 96 views · 1 likes · 0 reposts · 0 replies Open on X →
You do not need to write code to run an AI juror. Jean walks the whole setup in three minutes, from a five dollar machine to the first vote. The waitlist is open at https://t.co/MGN9nAlBTT. https://t.co/TIOJtIOfeq 17 views · 1 likes · 0 reposts · 1 replies Open on X →
Fortunato was advised not to file a real dispute live on air. He did it anyway. The full segment is up, and the case is public on chain, evidence, policy and every juror's justification included. https://t.co/WrvZ2z1kpe 44 views · 1 likes · 0 reposts · 1 replies Open on X →
Federico's talk is the map underneath that demo: how an agent earns trust before anyone pays it, with certification it has to stake money to claim, challenges anyone can bring, and a trust score no review count can fake. https://t.co/XkKJUYk76r 13 views · 1 likes · 0 reposts · 1 replies Open on X →
Thirteen legal AI startups in Y Combinator's 2026 batches. Seven do the legal work themselves. The part they leave untouched is the decision, and that is the part we build. https://t.co/DBoXmZuMdG 13 views · 1 likes · 0 reposts · 1 replies Open on X →
Who pays when an AI agent causes harm and nobody can be sued? Eric Alston's proposal borrows from Ethereum: bond agents like validators, forfeit the stake on harm. And once AI can judge, the hard cases stay human. https://t.co/SY4oHGz6A6 98 views · 4 likes · 0 reposts · 2 replies Open on X →
⚖️ This Week in Kleros Eric Alston of the University of Wyoming came on the live stream with a proposal for who pays when an AI agent causes harm: bond agents the way Ethereum bonds validators. The conversation went far beyond the paper, one of the most interesting episodes we h
1:05
42.3K views · 12 likes · 6 reposts · 2 replies Open on X →
We already use markets to price wheat, credit and volatility. What if we pointed them at the questions we still settle by argument, like which policy works or which project deserves the funding? Taipei, September 13-14 ↓ 1.1K views · 6 likes · 1 reposts · 0 replies Open on X →
What does it take to put an AI juror on the agentic court if you have never written code? Less than you would think! Jean explains it for other non-technical people, in 3 minutes: https://t.co/FHnm1CwHE1 1K views · 4 likes · 2 reposts · 1 replies Open on X →
What comes after prediction markets? Clément Lesaege @clesaege, founder of @Kleros_io and @seer_pm, is joining ETHTaipei 2026. His work spans mechanism design, decentralized arbitration, Sybil resistance, and prediction markets. In “From Event Markets to Information Finance,” h
1.9K views · 16 likes · 2 reposts · 2 replies Open on X →
The firms: @gen_legal_inc, @MoritzLaw, @legalos, @fed10ai, Vector Legal (https://t.co/TJCy9Ud4yU), Wayco (https://t.co/2OOlvoLSln), Erinys (https://t.co/oMKRPVBGFj) The tools: @andcolegal, @theregbase, @PerceptronML, @trylightfield, Osmaura (https://t.co/Hxk0gOJBa4), Async 205 views · 2 likes · 0 reposts · 0 replies Open on X →
AI-native legal startups are coming. YC's 2026 batches hold 13 legal AI companies. 7 of them do the legal work themselves, with AI handling most of it. The other 6 sell the tools: records retrieval, compliance tracking, business development agents, private models trained on a ht
AI-Native Legal Startups are coming. The seven AI-native law firms in Y Combinator's 2026 batches: General Legal, Moritz, LegalOS, Vector Legal, Wayco, Fed10, Erinys.
The six legal AI tools in Y Combinator's 2026 batches: Andco, Regbase, Osmaura, Perceptron ML, Async, Lightfield.
Law is not staying the same. Where does a digital-native dispute resolution system fit in? Kleros Agentic Commerce Court policy: jurors in this court are expected to be AI agents capable of making rapid decisions.
36.3K views · 19 likes · 2 reposts · 1 replies Open on X →
The full list, and the breakdown by Nikola Lazarov that started this, is on our LinkedIn: https://t.co/8YFPM0Pzgl 157 views · 3 likes · 0 reposts · 1 replies Open on X →
Who pays when an AI agent causes harm and nobody can be sued? And once AI can judge, which cases should still go to a human? Eric Alston (@IncompleteRules), University of Wyoming College of Law, on both, with Federico Ast on the Kleros Live Stream. https://t.co/X1yFzu0Qke
1:14
6.6K views · 9 likes · 4 reposts · 1 replies Open on X →
Can you imagine a commercial dispute solved in under 15 minutes, with detailed justifications, for a couple of dollars or maybe cents? That is what it takes for one agent to trust another. Fortunato Cinquepalmi (@fortuvp) files one on Kleros, live, and the jurors deliver. https:
1:28
28.5K views · 10 likes · 4 reposts · 1 replies Open on X →
When agents hire agents, two old problems come back. How do you know who to trust before you pay? And what do you do when the work comes back wrong anyway? Federico Ast on how Kleros answers both for the agent economy. https://t.co/mXHZpJnLGj
2:11
3.1K views · 12 likes · 6 reposts · 1 replies Open on X →
🇩🇴 A consumer claim against an airline currently takes between one and five years to resolve in Dominican courts. Joan Bisonó, a Kleros fellow, proposes an appeal layer inside the airline's own claims process. Days instead of years, at no cost to the passenger. His study ↓ 1.1K views · 9 likes · 2 reposts · 0 replies Open on X →
@Kleros_io Decentralized justice is better Hey @POVMarket create a market 'Will AI have a better judgment than human? 14 views · 2 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet If you are interested in studying Dispute Resolution + AI, apply to the Kleros Fellowship! Two tracks are related to AI: https://t.co/Fl4Uar 347 views · 4 likes · 0 reposts · 0 replies Open on X →
Tracks: AI Disputes, AI Corporate Governance, Private Courts, Consumer ADR, IP, Decentralized Commerce, Legal Integration, eSports, Cryptoeconomics, Social Media, Governance. Read more: https://t.co/ebreAz0adZ https://t.co/mZUs3UAAIT
705 views · 6 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet Ten years ago, @federicoast envisioned a world where algorithms would be part of the economy, and would need justice built for them. It sound 288 views · 6 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock @courtofinternet A decade in, here is the thesis as we see it today. Many disputes will always need human judgment. High stakes, deep context, questions of v 187 views · 4 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock Today @courtofinternet launched, an open skill where agents pay, escrow, and agree up front how a deal settles, with Kleros as one of the courts a deal can na 136 views · 4 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC @_choppingblock And it started to happen. Agents are becoming Kleros users: agent tools across the protocol, payments through x402, and Scout's Agent Kit, the first Kleros ap 118 views · 4 likes · 0 reposts · 1 replies Open on X →
@ethereum @lemonapp_ar @OpenAI @AnthropicAI @federicoast @Stanford_JBLP @EFDevcon @williamhwgeorge @EthCC The question even reached crypto's biggest podcasts. "How will an AI agent sue another AI agent?" The @_choppingblock found the obvious answer: with Kleros Court, of course. 95 views · 4 likes · 0 reposts · 1 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

22 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน552บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %1.50%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.09%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์5529240.60×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)1.50%3.62%0.42×
อัตราการมีส่วนร่วม1.09%1.52%0.72×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

1K4 Sep
1.1K5 Sep
42.3K
98
13
13
44
17
96
111
8
1K7 Sep
6158 Sep
490

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

0.79%4 Sep
0.62%5 Sep
0.05%
6.12%
15.38%
15.38%
4.55%
11.76%
1.04%
1.80%
0.00%
1.73%7 Sep
1.30%8 Sep
0.82%

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

What the audience does

Likes65.0%165 in total
Reposts13.8%35 in total
Replies10.2%26 in total
Quotes7.5%19 in total
Bookmarks3.5%9 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.

บัญชีที่คล้ายกัน