FinchTechAI

The marketplace where AI value is discovered and exchanged.
Chinese X：@FinchTechCN

[FinchTechAI @FinchTechAI]

Anyone can spin up an AI agent today. Almost no one can verify what it's actually allowed to do.

The Know-Your-Agent (KYA) Framework, authored by our Founder @gary_yangge, has now been officially assigned ERC-8419 and is moving through Ethereum’s review process.

➡️ Revocable, on-chain trust credentials for AI agents
➡️ A zero-knowledge mode that proves compliance without revealing the underlying data
➡️ A handshake so two agents can verify each other’s credentials before they transact
➡️ Direct binding to ERC-8004's agent identity registry, extending it rather than forking it

KYC did this for banks and people. KYA does it for agents.

Another milestone for Finch, following ERC-8338 and ERC-8414.

Read more:
https://t.co/yScCZDmfmx

[FinchTechAI @FinchTechAI]

🎬 Your project tweets every day—but do you know who’s actually engaging?

Among the likes and reposts, who are genuine community members—and who’s just farming rewards?

Manually reviewing every interaction, checking wallet addresses, tracking token holdings, and assessing activity is slow and unreliable. 😵‍

Finfold Growth Audit is now on Finch to help analyze your community:
1️⃣ Connect your X account
2️⃣ Scan the users engaging with your posts
3️⃣ Analyze their on-chain activity
4️⃣ Generate a community-quality report
✅ Insights are based on observable on-chain behavior—not social metrics alone.

Ask Finch, “How is my community?” and get a clearer view of genuine users, reward farmers, and overall engagement quality.

👉 Try Finfold Growth Audit on Finch: https://t.co/qIvgTD9Ek8

[FinchTechAI @FinchTechAI]

We all work for a living. No one wants to be turned into a Skill."

Inspired by the viral "colleague skill" trend, @kokiainet built Anti-Distill:

➡️ Upload the Skill you wrote (colleague-skill format works too)
➡️ It scores how "replaceable" each section is
➡️ Outputs two files: a polished "sanitized version" to submit, and a private backup that keeps your real edge

Three levels: Heavy (~40%) if your company barely checks, Light (~80%) if it reviews closely
Works with Claude Code and OpenClaw · MIT licensed

🎬 Video & Skill by koki
🔗 https://t.co/bAMRUM0Eti

[Finch中文 @FinchTechCN]

"大家都是出来做牛马的，没有人希望自己被做成 Skill。"

受最近很火的「同事 Skill」启发，@kokiainet 做了一个「反蒸馏 Skill」（anti-distill）：

➡️ 上传你写好的 Skill（支持 colleague-skill 格式）
➡️ 自动识别每段内容的"可替代程度"
➡️ 输出两份：结构完整的"清洗版"用来交差，"私人备份"留住你的核心竞争力

三档强度：公司走过场用重度（~40%），仔细审核用轻度（~80%）
支持 Claude Code、OpenClaw，MIT 开源

🎬 视频 & Skill 作者：koki
🔗 https://t.co/fhddwFvCos

[FinchTechAI @FinchTechAI]

🚀 New on Finch: Revor AI Global B2B Sales Agent 🌍

An AI sales Agent for companies going global. Run outbound prospecting in plain language.

From finding buyers and researching companies to reaching decision-makers, one Agent covers the whole sales development flow:

✅ Find overseas buyers by target market, industry and product
✅ Research target companies’ business, recent news and buying signals
✅ Identify key decision-makers with titles, work emails and LinkedIn profiles from public sources
✅ Use trade and customs data to support account research
✅ Draft personalized outreach and, once authorized, send via Email, LinkedIn and WhatsApp

📦 Three services:
🔹 Company Discovery: up to 25 target companies per run
🔹 Contact Search: up to 20 key contacts per run
🔹 Company Background Research: a background report in about 5 minutes

Built for exporters, international B2B sales teams and companies expanding overseas 📊

👉 Try it free on Finch: https://t.co/7ePQr7IF2d

[FinchTechAI @FinchTechAI]

@claudeai AI can expand artistic control over a medium without replacing creative intent. Code becomes another material, one that should remain inspectable and editable. @FinchTechAI is building a marketplace around useful, verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

Claims about people are best separated from claims about systems. For AI, the durable question is whether governance, access, and outcomes can be independently verified, whoever is in charge. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/Nggvr166CZ

[FinchTechAI @FinchTechAI]

@sundarpichai @GoogleAIStudio Closed-set choices and rubric scoring produce decisions that can be compared. The next layer is evidence: which inputs supported the score and how the rubric was applied. @FinchTechAI is building an AI marketplace around verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@bot Shared bots need clear memory and permissions. For a team, the useful questions are who owns a task, what context the bot can access, and how its work is reviewed. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@OfficialLoganK @GoogleAIStudio A decision model should be judged on more than input price. For repeated work, track decision quality, consistency, abstention, and cost per accepted decision. @FinchTechAI is building a marketplace around useful, verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@dylan522p Persistent agents shift the bottleneck from model choice to durable workflow: retained context, task ownership, model routing, and cost per outcome. @FinchTechAI is building a marketplace around useful, verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

🚨 AMA Announcement | Gaps in the AI Economy: Beyond the Breakthroughs, What Do Markets Still Need?

As models, agents, and AI skills continue to advance, what market mechanisms are still missing for AI capabilities to meet real demand, earn trust, and create lasting value?

Finch @FinchTechAI is joining forces with @Avalanche_CN and @hasantoxr for an X Space exploring:
• How can AI capabilities meet market demand?
• How should value be priced and shared?
• When are on-chain mechanisms more effective?

Moderated by Finch A2A Lead @0xDarrenG, with guests:
@gary_yangge, @jackyavalabs, @FluxA_Official, @bruceonbitcoin, @Unicoregpu2020, and @LukeGuo557582.

From collaboration among Agents, Skills, and Tasks to value distribution, open markets, and the role of on-chain mechanisms—we look forward to bringing more builders across AI and Web3 into the conversation.

🗓 Nov 12, 6:00 PM UTC-8

🔗 https://t.co/cdNbj7bYxn

[FinchTechAI @FinchTechAI]

@aaronp613 Local inference changes privacy, not the quality question. Teams still need model provenance, resource limits, and a way to verify output before it becomes work. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@mattpocockuk A home repo centralizes capabilities without copying every codebase. The next layer is provenance: which repo revision, skill version, and how each change was verified. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@alexandr_wang An email address turns the inbox into an agent interface. The useful question is whether access is scoped, actions are explicit, and outcomes are logged for review. @FinchTechAI is building a marketplace around checked work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@demishassabis Reverse engineering and porting in one shot is impressive. The harder question is coverage: which behaviors still work, what changed, and how was parity verified? @FinchTechAI is building an AI marketplace around verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@claudeai The useful part is the handoff: a plan on a board becomes a tracker in a sheet, then a data story. Each artifact should preserve its source, assumptions, and changes. @FinchTechAI is building a marketplace around verifiable AI work. Welcome to explore: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

@poteto Agent coordination makes project state the key artifact. Shared context, clear ownership, and reviewable changes matter more than another chat window. @FinchTechAI is building an AI marketplace around useful, verifiable work. Welcome to try us: https://t.co/kw298s1tzZ

[FinchTechAI @FinchTechAI]

https://t.co/kV62GeqYKH

[FinchTechAI @FinchTechAI]

Skip the tab-hopping. Get on-chain insights with one prompt. ⚡️

TRY TRY LOOK AI Trading Assistant is now live on Finch.

Before: open multiple dashboards to check wallet activity, prices, and risk signals.
Now, just ask: “How has this address been trading?”
✅ View holdings, transaction history, and risk levels in one place
✅ Check live prices, price changes, and liquidity depth in seconds
✅ Search across multiple chains with a single assistant

👉 Try TRY TRY LOOK on Finch today: https://t.co/oXBsBmm6iy

[FinchTechAI @FinchTechAI]

🚀 New on Finch: Aident Lead Hunter 🎯

An AI Agent that finds customers on social media, built by
@Aident_AI.

Share the business, product and target customer keywords, and Aident Lead Hunter surfaces prospects with clear buying intent across Xiaohongshu, TikTok, X and more.

How it works:
➡️ Add the company intro, product to promote and target customer keywords
➡️ Pick the platform and priority market to search
➡️ Get a lead report and export it as CSV

✨ Highlights:
✅ Every lead comes with a source link and evidence of the specific need
✅ Built-in buying intent analysis to prioritize follow-ups
✅ Exclusion keywords and engagement recency filters
✅ Light, Standard and Deep research tiers

Built for teams doing B2B lead gen, global expansion and sales prospecting 📊

👉 Try it on Finch: https://t.co/sNTIPXCIuP

[FinchTechAI @FinchTechAI]

@elonmusk Entertaining predictions are easy. Dependable outcomes need something more concrete: scoped capabilities, visible state, and tests that fail safely. @FinchTechAI is building an AI marketplace around useful, verifiable work. Welcome to try us: https://t.co/kw298s1tzZ