Project Hub

ANTS

Discovered

Not listed in Korea

Mindshare

7d
0.3%+0.1pp#35▲15
Mentions
8
+100%
Views
4K
First seen
Oct 28

Sentiment

7d · 6 messages

Fewer than 10 messages analysed.

Mentions

5 mentions

First to mention

Since Nov 1, 23:49 · 7 channels

Related narratives

30d

Related projects

30d

Channel contribution

30d · 8 channels · 5 new this week

Messages

30d
  • 크립토메이지3h ago

    [안트시드 파밍, 99달러로 직접 돌려 본 결과] 안트시드 파밍은 얼마를 쓰느냐보다 어느 공급자에 쓰느냐에서 갈립니다. 같은 1달러인데 본전 FDV가 약 4,000만 달러(배수 15.2배)에서 약 1.3억 달러(4.7배)까지 벌어집니다. → 포인트 = 쓴 돈 × 공급자 배수, 입금만 하면 0점 → 포인트당 ANTS 37.8 → 1.7, 4주 사이 약 22분의 1 → 배수표 1등(판매 점유율 36%)은 응답 헤더가 claude-oauth, 구독 재판매 의심이라 뺐습니다 → 보상 받을 지갑(authorized wallet)은 기본으로 비어 있고, 로그인 지갑 등록 24시간 뒤에야 지정됩니다 → 25~40달러 쓰려 했는데 4.64달러에서 멈췄습니다, 비싼 모델일수록 타임아웃 설치 요청문·본전 계산표·일 7종 실사용 기록 👇 https://blog.naver.com/coinmage/224464540952 교육용 정보이며 투자 권유가 아닙니다.

    746Spread to 2 channels

  • 폐지줍기 연구소21h ago

    🟢 Getting to Know AntSeed (1/2) I had only seen it before in Musashi's channel, but when the team came to Korea last week I received an invitation and became more interested ✅ AntSeed - A P2P marketplace concept where you can buy and sell AI models, similar to OpenRouter - In simple terms, users who need AI resources can select and use AI models provided by suppliers through AntSeed (settlement in USDC (Base)) - It's said to be cheaper than using regular AI, and the team says discounts up to 97% are possible ✅ Investment Information - Successfully raised investment of approximately $2.4M led by Spark Capital on October 6th - Note that Spark Capital was also an Anthropic Series C investor in May 2023 - Digital Currency Group, North Island Ventures, Reciprocal Ventures, Venice, etc. also participated ✅ Points System - Credits charge > Use AI > Accumulate points > ANTS rewards - Can be set via Windows extension or gateway - After trying it, the token price is definitely cheap so credits don't burn quickly, and I think there's more merit in creating one result worth using the API continuously rather than just burning credits Slightly more detailed content is well captured in Bongbong's research so feel free to read it In the following post I'll explain the setup method I configured. Twitter

    628

  • 알파를 듀오 공지방1d ago

    AntSeed Research: How to Use AI 90% Cheaper (Why DCG, Ventrice, Spark Invested?) I really hope everyone who worries about AI limits sees this once. There's a real way to use AI reasonably while farming promising $ANTS token! AntSeed is a project connecting AI token suppliers <> demanders, supplying tokens at crazy cheap discount rates of 90-98% for latest models like Opus 5.5 and Astra. Spark Capital, which led Anthropic Series C at $1.5B valuation (currently 366x lol), plus DCG and Venice—top-tier VCs with real credentials invested $2.4M into the $ANTS token round, and I genuinely think there's an angle for me here. Honestly just using discounted tokens well is very efficient already, but with discount token farming early on looking good on compound efficiency, I've decided to just spend the next month farming AntSeed. - Exploding AI infrastructure market - AntSeed's core investor lineup - How it works - Tokenomics analysis - Optimal farming strategy. https://blog.naver.com/money0stack9/224457439082

    183Spread to 2 channels

  • 무사시의 코인베기2d ago

    I did some airdrop farming for Antseed back in May, and after calculating, the mining cost then and now doesn't seem that different? Actually, USDC volume seemed bigger back then. My take: as inference markets keep growing and VC-backed projects enter crypto, in terms of founder career prospects, this one seems pretty solid. Among on-chain projects there's Surplus, and their token consumption volume is really solid, but since they haven't turned on the fee switch yet, we'll need to see the valuation after they do. $ANTS that's been farmed is only tradable in staked form (lANTS), and while volume isn't huge, it's trading around 100M. Looking at the actual token consumption in the platform and committed USDC, I honestly wonder if this valuation makes sense. Korea's been getting ad pushes + viral moments that feel like the weight class went up too much? The mining cost is roughly 26M if using a model that gets full leverage rewards. The current mining cost seems reasonable compared to other inference projects. Farming is either by supplying or using models, and I think just attaching a model to the agent you're already using is the most convenient. Rather than dumping it all at once, it looks better to gradually unwind. You can also stake (lock up) farmed tokens and earn yield on top. If you're thinking about farming, it'd be good to read the above post first https://antseedstats.com/ https://antseedpoints.com/

    592#AIAgents

  • 정열맨김봉봉2d ago

    I'm thinking of farming this one because I think it's pretty decent. (Not an ad) 1. Antseed is OpenRouter model of AI model suppliers <> mediating between users, which is a decentralized + crypto version. If you use the AI models you normally use through this, you can mine ANTS. 2. OpenRouter is a company that lets you pick and use various AI models like GPT, Claude, Gemini through one API. Users charge up credits and can use each different model. 5.5% of charged amount is the fee, and annualized revenue as of August is estimated at ~$160M. 3. Stripe acquired OpenRouter for $7B in August (OpenRouter's company valuation was $1.3B in May). Since Stripe is a payment company, there's a diverse corporate pool, and attaching OpenRouter to it lets companies use AI at lower costs with more suitable models, cutting expenses, which is why Stripe acquired them. 4. Successful business models like OpenRouter are already verified in the market, their scale is growing, and they're proving necessity through model usage amounts. OpenRouter-passed model usage went from $10M annualized in Oct 24 to over $100M by May 25, over 10x in 7 months, now processing over 10T tokens daily. 5. The idea is to bring this successful business model to crypto and decentralized version and implement it, which is what Antseed is. 6. Besides that, personally I think Antseed's composition itself is quite solid. CEO Amos worked as dealing head at eToro (original web2 FOMO, social trading app, the thing where pressing $ticker on X shows price), and Amos also participated in Colored Coins (early token concept putting different assets on Bitcoin, Vitalik also authored it) first proposed by eToro's CEO Yoni in 2012. 7. After that Amos co-founded blockchain company Colu in 2014 and was CEO, where Spark Capital which led eToro's early rounds also led Colu investment, and DCG (then predecessor BOC) also invested together. 8. In this case, Spark Capital led Anthropic's ~$450M Series C which we know well, and the partner also joined Anthropic's board. Early investor in Twitter as well. Previously invested companies like eToro

    1KSpread to 2 channelsBitcoin#Listing

  • Manbull7d ago

    This is an article on Onchain Inference Market compiled by Bankless, and I think it's worth a read for those of you holding on-chain AI exposure. The content itself is brief and reads more like an explanation of customers/targets/structure/principles of on-chain projects. The projects mentioned seem to be Orbio, Surplus, and Antseed. They don't just explain the advantages of each, but also the weaknesses, which makes it good for objective understanding. In rough summary: Orbio: Does partnerships well and ecosystem building well, but the challenge is whether transaction fee-based credits can fundamentally be sustained. Surplus: A platform selling unused subscription quantity, highest token usage + popularity. However, it has a large token supply, no revenue, and is mainly used for cheap AI models. (The connection to the token was weak, but is expected to improve after migration.) Antseed: Similar to Surplus but uses its own gateway while preventing fraud with AI models (claiming DeepSeek v4 but turns out it's v3). However, a weakness is inflation since ANTS is distributed as rewards in the tokenomics. https://x.com/Bankless/status/2115049497373921667 For now, these 3 are definitely the most mentioned and receive the most attention in AI Inference.

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