Top notch creator || Community Builder || Cicadian at @CicadaFinance || CM at @MagVerse_AI || Amb: @FinchTechAI || KOL ➠ AMB
Web3
Joined February 2023
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Most AI agents will fail, not because the tech is weak, but because distribution and monetization are broken.
But, @MagVerse_AI is approaching AI infrastructure from a different angle.
Most AI projects focus only on models, hype, or short term attention.
While MagnetX is building the missing layer that helps AI builders actually commercialize globally while staying compliant.
The launch at Hong Kong Web3 Festival made that clear.
MagUp solves discoverability inside AI search engines like ChatGPT, Gemini, DeepSeek, and Kimi.
That matters because visibility inside AI generated answers is becoming the next battleground for brands.
MagVerse focuses on verified creator traffic and removes fake engagement from the equation, they shows that real distribution matters more than inflated numbers.
DeWorld then connects AI Agents to onchain validation, liquidity, and capital access through standardized rails like ERC 8004 and ERC 8183.
What stands out most is the compliance first approach and direct collaboration with policymakers across Hong Kong and Abu Dhabi.
Few teams in AI and Web3 are thinking long term infrastructure at this level.
The “100 Cities, 1,000 Builders” initiative could become a serious pipeline for global AI commercialization if executed properly.
AI Agents need distribution, verification, monetization, and capital access.
MagnetX is building the full stack around it.
Join MagVerse platform today and get rewarded as a real and verified curator⬇️
console.magverse.io?invite_c…
#BuildInPublic #SMBmarketing
Not every AI Agent is built to write content or answer questions, some are designed to help with real work, including making sense of the financial markets.
I came across one on the @FinchTechAI Agents Marketplace that caught my attention.
It is called TrainFlow Nexus - Autonomous Trading Intelligence, built by TrainFlow.
It monitors selected crypto, forex and stock markets, analyzes market conditions, and identifies potential trading setups.
Think about someone who trades crypto but can't spend the whole day watching charts, having an Agent monitor the market and highlight potential opportunities could be helpful.
What I find interesting is that TrainFlow Nexus - Autonomous Trading Intelligence focuses on market specific intelligence rather than working like a general purpose chatbot.
I checked its marketplace reviews, and it currently has a 3.8/5 rating from four verified reviews.
One user praised its market visibility, while another appreciated being able to monitor the market without doing it all manually.
From what I’ve seen, it’s an interesting tool to explore, especially for traders looking for help monitoring multiple markets.
Of course, market insights aren't guaranteed profits, and automated trading comes with risks.
Curious about AI Agents that do more than chat?
Explore TrainFlow Nexus - Autonomous Trading Intelligence and discover more Agents on Finch.
🌐 finchtech.ai/market/explore/…
TheAwal🕸️ retweeted
🚨 Urgent: Hiring Web3 KOLs & Ambassadors for YeNo!
Looking for active Web3 content creators and ambassadors for upcoming campaigns.
💰 Earn $100–$500/month in USDT/USDC.
Interested?
🔁 RT to spread the word
📩 DM me your stats from the last 3 months.
Let’s build together! 🤝
AI Agents can generate answers, but can they participate in an economy?
That’s the bigger idea behind @FinchTechAI now building on @injective.
And this development makes more sense when you understand what Finch is building and what Injective brings to the picture.
Let’s start with Finch.
@FinchTechAI is building a marketplace around three important parts of the AI economy.
→ Skills give AI Agents specialised capabilities they can use.
→ Agents perform work using those capabilities.
→ Tasks connect AI capabilities to people who need specific work done.
Think of a creator who develops a useful AI Skill. Instead of keeping that capability locked inside their own workflow, they can publish it for others to discover and use.
An Agent can then use that capability to help complete a Task.
This creates a connection between people who have expertise, Agents that can put it to work, and users who need results.
But for an AI economy to grow, there is another piece to consider.
How does value move between its participants?
This is where Injective becomes relevant.
@injective is a blockchain built for finance, with fast transactions, low fees and infrastructure for onchain markets.
It is also developing tools for AI Agents to interact with financial applications and make transactions.
Its x402 payment infrastructure, for example, supports payments for online services and APIs, including payments made by AI Agents.
An Agent that performs useful work may eventually need to pay for data, access specialised services or use another Skill to complete a Task.
When these interactions happen frequently, fast, low cost transactions become increasingly important.
Injective’s financial infrastructure can help support this kind of onchain activity.
Now, consider what this could mean for the AI Skills marketplace Finch is building.
Imagine I create an AI Skill that turns long interviews into short videos.
A business needs ten clips from a one hour interview and submits a Task.
An Agent capable of creating social media content discovers the Skill and uses it to help complete the work.
✔️ The business gets its clips
✔️ The Agent performs the work
✔️ My Skill provides a useful capability
Where supported by the relevant products and payment arrangements, onchain infrastructure could help facilitate payments between the participants.
The same concept could extend to research, design, coding, data analysis and many other services.
This is the bigger opportunity behind connecting AI capabilities with onchain financial infrastructure.
And there is already activity developing around Finch.
The figures currently displayed on its website include:
→ 35,000+ AI native users
→ 10,000+ Skills deployed
→ 219 Tasks launched
→ $68,000+ in total value facilitated
These figures give us a snapshot of the ecosystem Finch is building around AI capabilities and work.
So, what could this mean for different participants?
For creators, it creates opportunities to publish useful Skills and make their expertise available to others.
For users, it opens up more ways to discover AI capabilities that help solve real problems.
For AI Agents, it points towards a future where they can access specialised services, complete work and participate in economic activity.
Finch is building the marketplace for AI capabilities and work.
By building on Injective, it can bring that vision into an ecosystem with financial infrastructure designed for onchain activity.
The bigger opportunity isn’t just making AI Agents smarter, it’s giving their capabilities a way to create value.
Explore Finch: finchtech.ai/
AI becomes more useful when it helps you solve real problems, not just answer questions.
I recently explored the @FinchTechAI Skills Marketplace again and found two Skills that could be useful in everyday work.
-> The first one is, INTERVIEW SIMULATOR.
Preparing for a job interview isn’t always easy.
You might have the right experience but still struggle to explain your skills or know what questions to expect.
The Interview Simulator helps you prepare for five interview rounds using your own resume.
For example, if you’re applying for a Web3 community manager role, you could use it to prepare for questions about community growth, engagement strategies and handling difficult situations.
It gives you a way to organise your thoughts, practise your answers and identify areas where you need more preparation before the actual interview.
🔗 finchtech.ai/market/chips/ba…
-> The second one is, AI NEWS BRIEFING.
Keeping up with AI and technology news takes time.
Between new product launches, industry updates and emerging trends, it’s easy to miss important developments.
AI News Briefing helps organise information from public sources into news digests, making it easier to keep track of what’s happening.
Imagine you’re managing a Web3 community and need fresh ideas for your next X post.
You could use this Skill to gather relevant AI and technology updates, review the original sources and identify stories worth sharing with your audience.
Instead of starting your research from scratch every time, you have a more organised starting point.
🔗 finchtech.ai/market/chips/ba…
What I like about these two Skills is how they address different needs.
One helps you prepare for career opportunities, while the other helps you stay informed and create more relevant content.
The @FinchTechAI Skills Marketplace brings reusable AI capabilities into one place, making it easier to discover tools that fit your needs.
You don’t have to try every AI tool out there, start with one that solves a problem you’re already facing.
Explore the Skills Marketplace: finchtech.ai/market/explore/…
Which would be more useful to you right now: preparing for your next interview or keeping up with AI news?
TheAwal🕸️ retweeted
Let’s settle something in the Web3 space👀
Imagine you’re running a project and need to hire a KOL.
One has 100k followers and gets 20k views on a campaign post.
Another has just 5k followers and gets 3k views, but people actually check out the project, join the community, and try the product.
Who are you choosing?
The one with more views or the one who brings in people who are genuinely interested?
KOLs, let’s hear your honest opinions. What do you think projects really care about more?
What if an AI Agent could help you find your next job or show you why your business website isn't converting visitors into customers?
I actually explored the @FinchTechAI Agents Marketplace and found two Agents built to solve these kinds of real life problems.
- The first one is SPARK AI Global Growth Navigator.
Running a business online is one thing, while getting the right people to notice it and turn into customers is another.
SPARK helps businesses identify where their growth strategy may be falling short.
You enter your website URL, and it reviews several areas, including:
-> market positioning and how clearly your business stands out
-> product messaging and whether visitors understand your offer
-> website conversion and the experience users get
-> visual experience and acquisition readiness
-> growth gaps and what to prioritize next
Now imagine you run a startup that sells a project management tool.
People visit your website, but very few sign up. Instead of randomly changing your marketing strategy, you could use SPARK to identify possible issues with your messaging, website experience or how you present your product.
That gives you a starting point for deciding what to improve.
SPARK has a 3.0 overall rating from 2 verified reviews.
One reviewer found its growth advice clear, while another felt the advice was too broad.
That’s worth considering because the usefulness of the recommendations matters just as much as getting them.
Explore SPARK: finchtech.ai/market/chips/ag…
- The second one is LittlePinkPotato, AI Job Search & Resume Agent
Job hunting can take hours, especially when you have to search multiple platforms, adjust your resume for different roles and prepare for interviews.
LittlePinkPotato brings several parts of that process together.
Here’s what it can help with:
- Job matching: describe the role you want in plain language and get a ranked list of recent openings, with explanations of how well they match your profile and their key requirements.
- Resume tailoring: adapt your resume to a specific job description and get an ATS keyword match analysis to help identify areas you may need to improve.
- Cover letters: generate a tailored cover letter using your resume and the job description.
- Interview preparation: get a preparation report based on real interview experiences, including interview rounds, common questions and guidance on how to approach them.
It covers opportunities across Singapore, China, Hong Kong, Australia, the US, Canada and remote roles.
Meanwhile, you can imagine being a content creator and community manager looking for a Web3 community or marketing role.
You find a vacancy that matches your experience, but your current resume doesn't highlight the exact skills the employer wants.
You could give LittlePinkPotato your resume and that job description. It can help tailor your resume, identify relevant keywords, prepare a cover letter and give you a clearer idea of what to expect during the interview.
The Agent has a 3.8 overall rating from 6 verified reviews. Some reviewers praised its resume advice and cover letters, while others said job matching could be broader or inconsistent.
One important limitation: it doesn't submit applications for you or guarantee a job, listings may also be delayed because they come from public sources.
Explore LittlePinkPotato: finchtech.ai/market/chips/ag…
What I find interesting about these two Agents is how differently they serve people.
SPARK focuses on helping businesses identify growth opportunities, while LittlePinkPotato helps job seekers approach their search with more structure.
Both are examples of how AI Agents can move beyond general conversations and support specific tasks.
One thing to keep in mind: both Agents' free trial periods have ended, so using them requires credits.
SPARK costs 1 credit per request, while LittlePinkPotato costs 5 credits per request.
Check the current payment details on their pages before using them.
@FinchTechAI brings different Agents into one marketplace, making it easier to discover AI tools for specific needs.
Now I'm curious: if you could try one first, would you choose an Agent to improve your business growth or one to help with your career?
Explore more AI Agents on Finch: finchtech.ai/market/explore/…
what if you could swap tokens on solana without paying platform fees?
that’s what @kindworldlabs is bringing to the table with KindSwap.
KindWorld is building an ecosystem focused on connecting people with useful products and opportunities in web3.
KindSwap is also part of that ecosystem, a solana based decentralized exchange aggregator that helps users swap tokens while keeping control of their assets.
and, here’s the exciting part…
KindSwap is offering ZERO platform fees on swaps until October 31st, 2026.
if you’re active on solana, this is a good time to explore the platform and see how it works.
i made this quick video to introduce KindSwap and show you why this limited time offer is worth checking out.
try it here⬇️⬇️
kindswap.world/swap?promo=ZE…
note: network fees may still apply.
Finch Task Market is worth checking out if you want to earn USDC by completing simple tasks.
I recorded a quick walkthrough showing how it works, from finding a task to completing the requirements and submitting your work for review.
The process is very simple:
Find a task → Complete it → Submit your work → Get rewarded once verified.
For this walkthrough, I explored the “Connect Your Wallet to Maneki” task ⬇️
finchtech.ai/market/tasks/b3…
If you’re new to @FinchTechAI, this is a good place to start.
If you’re already part of the community, try completing at least one task this week.
You can explore more tasks with the link below ⬇️
🌐 finchtech.ai/market/tasks
TheAwal🕸️ retweeted
Looking forward to the conversations ahead, we are connecting with more builders and industry partners as @MagnetX_AI ecosystem continues to grow.
ni hao shanghai 🇨🇳
TheAwal🕸️ retweeted
🌌 MarsChain: Rethinking How Blockchain Contribution Is Measured
Most blockchain networks are built around Proof of Work (PoW) or Proof of Stake (PoS).
MarsChain takes a different approach with Proof of Contribution (PoC) — where contribution is represented through an on-chain, protocol-defined mechanism.
Here’s how the model works 🧵👇
1/ 🔥 Proof of Contribution — Burn → Contribution Rate
In MarsChain’s PoC model, participants burn MARS and the protocol converts that contribution into a Contribution Rate using:
Hᵢ(t₀) = Bᵢ × r(t₀)
Where:
• Bᵢ = amount of $MARS burned
• r(t₀) = protocol-defined conversion ratio
• Hᵢ = resulting Contribution Rate
The burned MARS permanently leaves circulation, while the Contribution Rate becomes a continuing protocol credential used for future block-reward allocation.
Importantly, MarsChain defines Contribution Rate as a protocol-defined production right, not physical machine hashrate.
2/ ⚙️ How are rewards distributed?
MarsChain uses the participant's Contribution Rate relative to the network's total Contribution Rate.
The reward function is:
yᵢ(t) = R(t) × Hᵢ / Hₜₒₜₐₗ(t)
So, in simplified terms:
Your Contribution Rate ÷ Total Network Contribution Rate = your proportional share of the miner allocation.
The model therefore connects contribution directly to future production capacity at the protocol level.
3/ ⏳ The 188-Day Benchmark
One of MarsChain's most interesting mechanisms is its 188-day theoretical benchmark.
It acts as a design and pricing reference for the PoC system.
But there is an important distinction:
⚠️ 188 days is NOT a guaranteed return.
⚠️ It is NOT a fixed recovery period.
⚠️ Actual outcomes depend on network Contribution Rate and reward release.
As network participation changes, MarsChain's dynamic calibration function r(t) is designed to respond to changes in total Contribution Rate.
In other words, the protocol attempts to reduce differences caused purely by entering the network at different times.
4/ 🧮 Dynamic Calibration — Why r(t) Matters
Imagine the network grows significantly.
The total Contribution Rate increases → the reward share associated with each unit of Contribution Rate can decrease.
MarsChain therefore makes the conversion ratio r(t) responsive to network conditions.
The whitepaper describes this as a way to reduce structural time-based advantages and maintain a unified framework for participants entering at different stages.
The key idea:
Network growth → calibration → adjusted Contribution Rate allocation
Rather than treating the original conversion ratio as permanently fixed.
5/ 🎨 NFT Mining + Personal Mining Pools
MarsChain uses NFTs for more than collectibles.
Its designated ERC-1155 NFTs function as on-chain identity credentials connected with:
🔹 Miner identity
🔹 Contribution participation
🔹 Personal mining pools
🔹 Invitation relationships
The system uses two core upgradeable contracts:
PowerContractUpgradeable.sol
→ processes MARS burns
→ calculates Contribution Rate
→ updates network weights
→ manages mining-pool incentives
PowerNFTUpgradeable.sol
→ manages ERC-1155 miner NFTs
→ records invitation relationships
→ acts as an on-chain participation credential.
6/ 🤝 Referral Mechanism — Contribution-Driven Growth
MarsChain's personal mining-pool model uses Contribution Rate rather than simply paying a direct cash/token referral reward.
According to the whitepaper:
Level 1 inviter → 50% of invitee ΔH
Level 2 inviter → 25% of invitee ΔH
The referral allocation is described as coming through proportional dilution of existing network-wide Contribution Rate weights rather than being deducted from the invited participant's newly generated Contribution Rate.
And importantly:
An invitation alone does not generate a reward.
The invited participant must actually complete the protocol-defined burn and generate verifiable contribution.
7/ ♻️ MARS Tokenomics
MarsChain's whitepaper specifies a fixed maximum supply of 200 billion MARS.
The protocol describes:
🔸 200B MARS maximum supply
🔸 448-day halving cycle
🔸 75% block reward allocation → PoC miners
🔸 25% → validators & persistent network nodes
Block-reward emission decreases through successive 448-day cycles:
1× → ½× → ¼× → ⅛× → 1/16× and progressively lower
The stated model therefore combines a fixed supply ceiling with declining block-reward emissions.
8/ 🔥 Two Deflationary Paths
MarsChain describes two separate deflation mechanisms.
PATH 1 — Regular PoC Burns
Participants burn MARS to obtain Contribution Rate.
Those tokens are permanently removed from circulation.
PATH 2 — Protocol-Triggered Burns
The Christmas Protocol and Oracle Protocol can activate under defined conditions and target additional supply contraction.
The whitepaper states a target of 35% of circulating supply during their respective execution windows, subject to protocol conditions.
9/ 🎄 Christmas Protocol
This is a calendar-based mechanism.
📅 Trigger: December 25–31
⏱️ Execution window: 8 days
🔥 Target: 35% of circulating supply
⚡ Contribution Rate multipliers depend on the applicable halving cycle.
Instead of immediately distributing liquid rewards, qualifying participation results in additional Contribution Rate.
That keeps the mechanism connected to the PoC production model.
10/ 🔮 Oracle Protocol
The Oracle Protocol introduces a market-condition trigger.
According to the whitepaper, it can activate when MARS declines 50% from the designated reference high.
The mechanism similarly uses an 8-day execution window and targets a burn of 35% of circulating supply, subject to the protocol's conditions.
The intended design is to create an additional supply-contraction mechanism during severe market declines.
Again, these are protocol mechanisms described by the whitepaper—not guarantees of market performance or token price recovery.
11/ 🌐 MarsChain's Bigger Architecture
MarsChain positions itself as an EVM-compatible Layer1.
Its architecture includes:
🔹 Access Layer — wallet, explorer, RPC, SDKs & APIs
🔹 Protocol Layer — PoC, r(t), Christmas & Oracle logic
🔹 Execution Layer — EVM-compatible smart contracts
🔹 Data Layer — on-chain states, blocks & transactions
This gives developers an environment intended to support applications such as DeFi, NFTs, GameFi, SocialFi, AI and real-world asset applications.
12/ 🔄 The MarsChain Economic Loop
The entire model can be viewed as one interconnected cycle:
Contribution
⬇️
$MARS Burn
⬇️
Contribution Rate
⬇️
Block Rewards
⬇️
Ecosystem Use
⬇️
New Contribution
That is the central economic architecture MarsChain is trying to build around its PoC model.
🌌 The interesting question isn't simply “What is MARS?”
It's:
Can contribution, scarcity and future production capacity be connected through deterministic on-chain rules?
MarsChain's answer is its Proof of Contribution architecture.
📖 Whitepaper v1.1
🌐 marschain.net
🔎 MarsChain Explorer
Study the mechanism. Verify the data. Understand the protocol.
#MarsChain #MARS #ProofOfContribution #PoC #Blockchain #Web3 #Layer1 #Crypto #DeFi #Tokenomics #EVM #ChristmasProtocol #LBank #KTX
@MarsChainDAO
🤖 Made with AI
TheAwal🕸️ retweeted
Marschain : burn is the bid
Most chains price block rights with capital: hash rigs or locked stake.
MarsChain prices them with destruction.
Burn $MARS → the protocol mints permanent Contribution Rate (hashpower) → that rate is your claim on future issuance.
That is Proof of Contribution. Not a metaphor. A conversion function.
Official design anchors, from the site and whitepaper:
• Cap: 200 billion MARS. No extra mint beyond the cap.
• Halving: every 448 days.
• Split: 75% miners / 25% validators.
• Calibration constant: 188 days.
188 is not “guaranteed profit.” It is the static benchmark the conversion ratio is built around.
The conversion, as published:
h_user = (s_burn × h_total) / (188 × r_day)
If total network power and daily output were frozen, burning B tokens is meant to earn about B tokens back over 188 days.
When h_total rises, new burns buy more power per coin. When daily output falls after a halving, new burns also buy more power per coin.
Early capital does not automatically lock the curve forever.
Why burn instead of stake?
Stake is reversible. Burn is not.
Reversible collateral can leave. Irreversible burn is supposed to raise the cost of a 51% attack: to own half the power, you must destroy the tokens that bought half the power.
Whether that holds depends on whether power is truly permanent and whether large wallets can still dominate issuance.
Check the explorer, not the slogan.
Two overlay protocols sit on top of PoC:
🎄 Christmas Protocol — calendar trigger. Multi-day burn + hashpower multiplier event.
🔮 Oracle Protocol — price trigger. If price sits ~50% below ATH for 7 days, a similar burn + multiplier window is supposed to fire.
These are meant to force scarcity when either time or price says the float is too loose.
Growth layer: ERC-1155 mining NFTs + personal pools.
Direct invite: 50% of the invitee’s power as bonus.
Indirect: 25%.
The project says those bonuses come from system issuance, not from cutting the invitee.
That is a recruitment engine. It can widen the network. It can also concentrate power in the people who arrived first and invited the most.
Both can be true.
How to read it without the brochure:
MarsChain is closer to a value-capture chain than to “the next Ethereum.”
EVM compatibility is there. The economic bet is that destroyed float + permanent production rights can replace perpetual issuance as the reason to participate.
The honest test is on-chain:
• Are burns real and irreversible?
• Does power persist after the burn?
• Do Christmas/Oracle events actually delete supply?
• Is issuance following the 448-day schedule?
Three numbers to remember:
200B / 448 / 188
Everything else is commentary on those three.
#MarsChain #PoC $MARS @MarsChainDAO
TheAwal🕸️ retweeted
🔥 What if blockchain participation wasn’t just about holding tokens—but about measurable contribution?
🪐 MarsChain connects $MARS tokenomics, Proof of Contribution, NFTs, referrals and protocol-driven incentives into one ecosystem.
⛏️ 1️⃣ Proof of Contribution (PoC)
$MARS Burn → Contribution Rate → Permanent Hashrate → Daily Rewards
Hashrate represents protocol participation weight—not simply raw computing power.
🎄🔥 2️⃣ Christmas Protocol
A major economic mechanism combining:
🪙 35% of circulating $MARS burned
⚡ 10× Hashrate multiplier
A burn + multiplier model designed to amplify participation.
🔮 3️⃣ Oracle Protocol
A price-responsive mechanism tied to a stated trigger when $MARS reaches 50% below its ATH.
🪙 4️⃣ MARS Tokenomics
Maximum supply: 200B MARS
⏳ 448-day halving cycle
🔥 Burn mechanisms designed to reduce circulating supply.
🎟️ 5️⃣ NFT Mining Access
MarsChain NFTs function as on-chain miner identity credentials—not simply collectibles.
➡️ 10,000 MARS → NFT minting
➡️ Identity + ecosystem access + referral functionality
🤝 6️⃣ Referral & Contribution System
Personal Mining Pool:
• Level 1 → 50% of invitee additional Hashrate/Contribution Rate
• Level 2 → 25%
• Invitees retain 100% of their own contribution
The model focuses on actual contribution, not just referral counts.
🏦 7️⃣ Exchange Access
$MARS ecosystem access also extends to:
🌐 @LBank_Exchange
🌐 @KTX_exchange
🪐 The bigger picture:
🔥 Burn → ⛏️ Contribution → ⚡ Hashrate → 🎁 Rewards → 🌐 Ecosystem Growth
MarsChain is combining token economics, PoC, NFTs, referrals, burns and adaptive protocols into a contribution-driven Web3 model.
🚀 Don’t just watch $MARS. Understand the architecture behind it.
DYOR. Explore the mechanisms. Find your role in the MarsChain ecosystem.
🪐 The next chapter is yours to explore.
#MarsChain #MARS #PoC #ChristmasProtocol #LBank #KTX #Web3 #Crypto @MarsChainDAO
🤝 Paid partnership · 🤖 Made with AI
TOKEN2049 Week has me thinking about how much the crypto space is changing.
the conversation is no longer just about trading or launching another blockchain, because AI Agents and their potential connection with Bitcoin are getting attention too.
think about it… AI Agents are becoming more capable, but what happens when they can do more than answer questions?
what if they can use Skills, complete real tasks and participate in an economy where work has value?
that’s where the Bitcoin conversation gets interesting. Beyond being a trading asset, Bitcoin could play a role in how value moves within emerging AI economies.
and, this is why @FinchTechAI is bringing Skills, Agents and Tasks into one ecosystem.
skills give Agents the capabilities they need, while Tasks give them actual work to complete.
and honestly, seeing real products and working infrastructure during TOKEN2049 Week matters.
we’ve heard plenty of big promises in this industry, and now it’s important to see what teams are actually building.
@FinchTechAI is part of the “When AI Meets BTC” conversation in Singapore, bringing its perspective to this growing intersection.
- for creators, this could open new ways to monetize their Skills.
- for users, it could mean easier access to useful AI capabilities.
- and for the Agent Economy, it points toward a future where Agents can do useful work and create economic value.
the interesting question isn’t just how smart AI can get, but what it can actually do.
TheAwal🕸️ retweeted
金秋十月，巴西旅游展ABAV收官🇧🇷💪
这趟更确定一件事：vibe coding 让“做产品”越来越容易，真正难的是怎么卖出去、怎么做 GTM。
AI-native / vibe marketing 不是多写几条帖子、找一堆kol组活动发内容，多生成几张图做做side events就可以了，而是要把 AI 嵌进获客、传播、销售的全链路，最后用真实 leads、注册和成交说话。
出海，就是在混乱世界找真相，继续日拱一卒。
👁️🗨️分享几个感悟：
1）展会再热闹，没有业务增长完全没意义，跑会也是虚假繁荣。峰会活动去多了，就知道对于项目没结果没带量就是无意义的演戏，现场热度 ≠ pipeline，这也是很多项目融资后拿着💰错误的烧Mkt，没有系统的全链路整合营销只会放大一个错误的产品形象。
扫码、要名片只是入口，24–48 小时内做本地化跟进、按理想客户画像分层、约 next step，才可能从 MQL 变 SQL。
2）对的一小撮人比错的一大群人更有价值。
互联网鼓励不停歇产出，但真正锚定创作者的是重量。在信息过载的时代，稀缺的不是信息，而是筛选、判断和整合信息的能力，发垃圾内容的kol粉丝再多也无法获得现实世界更高维大佬的认可，reputation很重要。
好的媒体拥有声望，而优质的内容源自作者的审美品味和严谨的智识。因为判断力不依赖于规模，想要以小博大，就让判断力变成影响力，去获取圈内人脉、关系和信任。
3）巴西/拉美不是一个市场。首先巴西葡语内容需要单独制作，WhatsApp 首触、本地伙伴/代理、PIX/分期支付、税务合规，都会直接影响转化。
真正的本地化，是重新回答三个问题：
当地消费者如何理解你的品类？
当地消费者为什么需要你的产品？
当地消费者为什么应该相信你？
这也是MagUp在巴西建立本地GTM能力的重要原因。海外市场一定要扎根当地，团队要有30-50% local配比，别用一套英文素材打天下，只有理解当地用户如何搜索、如何消费内容、如何建立信任，也了解当地媒体、KOL、渠道和商业合作方式，才能和当地竞争者battle。
4）旅游 B2B 的决策链很长，角色 KPI 也不同。旅行社、OTA、目的地、酒店、航司、文旅投资方，关注点完全不一样。很多BD就是泛泛交流，现场别只收名片，要拿到“谁负责、下一步是什么、什么时候再谈”的具体计划，然后后续跟进才更有可能转化。
5） AI 可以放大内容、SDR、个性化，但放大不了错误定位。先有 common value proposition，再用 believable story、案例和 demo 降低信任成本，否则只是更快制造噪音。
6）出海别贪大。先打穿一个场景、一个渠道、一个合作伙伴，用真实 pipeline 和转化率验证，做好了一个市场再复制，日拱一卒，比自嗨式扩张更接近真相。
We always need a common value proposition, a realistic GTM Plan, and a believable story.
Automated trading without the usual hassle sounds interesting.
Q brings AI formulated quantitative strategies directly into your iTrustCapital account, so you can choose a strategy and let it monitor market signals and execute based on predefined rules.
No external bots. No third party apps. No technical setup.
Definitely worth keeping an eye on as @iTrustCapital expands what you can do directly from your account.
Diamond hands had its era. Now it’s time to meet Q.
iTrustCapital's AI-formulated quantitative trading strategies, built directly into your account.
Choose a strategy and let Q get to work, monitoring market signals and automatically buying or selling according to predefined rules, helping take emotion out of each decision.
No third-party apps. No external bots. No technical setup.
Automated. Disciplined. Built for you.
Activate Q Now! itrustcapital.com/Q?utm_sour…
This actually looks like a show worth watching🔥
The conversation covers a lot, from OpenAI’s latest updates and AI agents to Codex, ChatGPT Work, AGI, AI safety, and what AI still needs to solve.
The part about how people are actually using these tools should be especially interesting.
Definitely adding this to my watchlist.
The interview with @thsottiaux from OpenAI 🔥
0:00 Everything OpenAI launched at DevDay
2:44 Sponsors: Wispr Flow, Hostinger, OpenArt
4:11 What is ChatGPT Dots?
7:52 Will ChatGPT Dots be free?
10:15 GPT-6.1 Sol vs GPT-6 Astra
11:44 Is AI now building AI?
12:53 Ultra Fast: when does everyone get it?
14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days
19:08 Why everything will run in the cloud
20:55 Calling your Dots on the phone
22:11 The new Turing test
24:05 OpenAI's mission and AI safety
26:14 Why OpenAI still works like a startup
27:29 The truth about ChatGPT usage resets
29:00 The $500 ChatGPT plan
30:17 Sponsors in action
32:23 Why AI agents still fail
33:52 OpenAI's AI is now on call
34:26 OpenAI's internal benchmarks
35:55 Open source Codex and the open ecosystem
38:42 ChatGPT Space explained
39:45 Is the chat box holding AI back?
42:26 Every DevDay update, full workshop
43:28 How people really use ChatGPT Work and Codex
44:01 When is the next OpenAI model coming?
45:05 What AI has to solve next
45:32 Is your job safe from AI?
48:14 Rapid fire
48:54 Has OpenAI already reached AGI?
50:48 The one thing he'll never let AI do
51:22 His morning AI routine
52:15 What he'd build if not AI
Watch the full podcast on YouTube or X.
Enjoy!
TheAwal🕸️ retweeted
TheAwal🕸️ retweeted
ABAV Expo 2026: that's a wrap. 🇧🇷
3 days in São Paulo. 40,000+ visitors. 2,000+ brands.
We showed travel companies what AI actually says about their brand — and most had never seen it before.
Strong leads. Real conversations. Next stop: AI answers.
magup.ai
#MagUp #ABAVExpo #GEO #AI
AI is changing how we work, create, and interact with technology.
But the people contributing to that shift should have a place in the ecosystem too.
@ActionModelAI is building around community owned AI, bringing creators and ambassadors into the conversation through content, campaigns, education, and community building.
The Creator & Ambassador Network is looking for people who can bring original ideas, stay consistent, and help more people understand what Action Model is building.
That’s exactly the kind of role I want to take on, and it’s high time to help shape the story of community owned AI. 👾
Apply to the Action Model Ambassador Program with the link below⬇️
actionmodel.com/ambassadors
Apply to our Creator & Ambassador Program 👾
Some people will watch the AI revolution happen.
Others will help build the movement around it.
We’re looking for Web3 creators and ambassadors who want to do more than just post about AI.
We want people who can shape the conversation, grow the community, and become recognised voices inside the Action Model ecosystem.
You do not need a huge audience.
You do need original ideas, consistency, and the ability to make people care.
If selected, you’ll get access to:
- Paid opportunities every month
- Exclusive rewards
- Early product and campaign access
- Direct collaboration with our team
- Recognition across the community
Whether you create videos, threads, memes, graphics, tutorials, articles, or host Spaces, there could be a place for you.
If you believe AI should be owned by the people helping build it, this is your chance to play a bigger role in that future.
Places are limited. Apply via the link below.
