Your daily insights into Web3 Ecosystems ✨ | Ambassador at @TacBuild | Creator for @EYEKONSTUDIO & @bricktopians 💖 | Open to any meaningful collabs ✌

Joined June 2023
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Everyone wants liquidity, but not everyone gets it. June 30 is when Marb's gauges go live and the voting starts. The idea is pretty simple: > Lock $MARB > Get veMARB (voting power) > Decide which pools receive emissions each week I genuinely believe MegaETH will become great again with apps like this.
June 30th The gauges open The vote begins A ve(3,3) DEX on MegaETH No team gauge. No guaranteed pools. Just the vote.
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Arcaze The Builder retweeted
AI can now read your customers' minds. We raised a $20M Series A lead by 8VC & Lingotto to build this. Introducing Minerva, built in collaboration with OpenAI:
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We've spent two years giving AI tasks. The winners will start giving AI departments. Most AI tools are still operating like freelancers: great at completing individual requests, but disconnected from the rest of the workflow. 🫠 That's why many teams struggle to turn AI usage into real operational leverage. The next step is AI co-workers with defined roles, responsibilities, and the ability to collaborate across functions. Teams that figure this out early will operate on a completely different scale.
Today, we’re introducing @workclaw: the AI team for your team. Most AI agents work in silos. One person, one assistant. But that’s not how teams collaborate in a real company, so we built something new. Meet your WorkClaws, collaborative, proactive, customizable AI coworkers that work in Slack or Teams just like every other colleague. Hire a new Claw in a few clicks and give them a job title, manager, computer, and apps. Easily access their ClawOS computer in the cloud, and pick from more than 3,000 integrations to install. Then, train them to get work done your way by adding skills and routines. It’s OpenClaw for actual work, with the additional layers of security and admin controls companies expect. 🚀 We’ve just opened up Early Access to a limited number of teams who get started on our website. 🎁 Want $500 in free credits? Just comment with what job title you’d give your first claw, and we’ll hook you up!
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2 weeks. That's all you've got to lock in Tier 1 access to OpenAI on Tessera. If you have a verified X account, hold T-SpaceX and T-Kalshi, have $5000 lifetime trading volume, and complete the application, you can qualify before the deadline. I'd move fast on this one.
Tessera is Launching OpenAI June 24 You have 2 weeks to become eligible app.tessera.pe/auction/T-Ope… Tier 1 - Guaranteed access $812.79 price/token Eligibility: Complete application form, meet all requirements, wait for Tessera to approve Tier 2 - Pro Rata (3 separate pools) $855.57 price/token Eligibility: Standard pool, Solana Seeker, and IslandDAO Pools with unique requirements for each Tier 3 - Public Alpha Vault
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This is not financial advice. Always do your own research.
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The biggest yield upgrade isn't higher APY, it's having more than one way to earn. That's why I find @solsticefi's direction interesting. 😉 Instead of chasing one strategy forever, they're expanding the range of institutional-grade yield opportunities available on top of the same yield layer. > More diversified yield sources instead of one revenue engine > aiUSX extends the model into AI infrastructure financing > Capital remains focused on utility, liquidity, and flexibility You should keep an eye on this.
Meet aiUSX - AI infrastructure yield, tokenized and onchain. @sandmark_news has the story. sandmark.com/news/top-news/s…
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Yield products have a ceiling because they're tied to a single source of returns. I think that's the challenge many protocols run into. One strategy can work well until market conditions change, then users are left with fewer options. What I like about @solsticefi is the yield layer approach. aiUSX expands the range of yield sources through AI-infrastructure financing instead of relying on a single trade. What is your take on this?
Private AI infrastructure can't be financed by the companies it's designed to replace. That financing is moving onchain - for the people. aiUSX is coming.
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Real frontend teams still struggle with design <> code handoff. It's kinda wild AI agents never solved this either. Until now.
Introducing Kombai 2.0 - the first AI design engineer. We keep hearing that AGI is almost here. Still, we’re stuck with coding agents that don’t have taste and design tools that don’t understand our codebase. Both are artifacts of a world where design and engineering were two different jobs, with a handoff in between. That world is changing fast. Today, designers ship code, engineers want to escape handoffs, and everyone wants to build tasteful UX. Kombai is built for this new world. Design and engineering, finally on the same side.
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It's crazy that people still think SpaceX exposure is impossible for retail. I checked the numbers, and @MEXC’s SPACEX (PRE) Phase 2 opens at $130 while the live market sits around $170. Phase 1 already showed real results too: People entered around $650 and saw prices jump more than 40% after launch. No VIP nonsense either. Regular users can still join. Plus MEXC just launched the RealStocks yesterday, any stocks trade during the campaign period is eligible for a share of the 200k USDT reward pool. June 5 is the deadline for you. 🫵
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Arcaze The Builder retweeted
AI agents turn every employee into a security risk. Introducing Agent Handler for Employees: secure AI access for every employee. We’ll give you $10K if you get sensitive info from @JeanelleAgent.
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Arcaze The Builder retweeted
May 29
AI is making kids dumber. It should be making them geniuses. Introducing Koji, the first AI tutor that gets kids to actually think. 👇
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People calling @solsticefi a rug while sitting on 30% gains is peak 2026 crypto honestly. They crossed $500M TVL, yield on the underlying sits around 3-15% APY depending on strategy, and the chart is still holding while most TGEs this year dumped within hours. Though the vesting communication was bad, they still don't deserve this much hate. I guess CT will never change.
Quick recap on Solstice since launch, since there's been a lot of controversy and information flying around. Personally, the launch cooked for me. For ICO investors, it was almost a 2x from the ICO price, which is a rare W these days. The price is also holding above a $200M USD FDV, which is solid given the current market environment. That said, a couple of things were communicated poorly. The main one was obviously the vesting, which was announced far too late, shortly before TGE. That definitely should've been communicated more clearly. And while I'm sure it sucks for people with big allocations, I don't think this will turn into one of those -99% charts. So if you did well on the allocation, you probably just need some patience. Then there's the market maker situation. Again, not communicated great, but to me it looks like they dumped tokens on Binance Alpha and have been buying them back on spot since then. Hard to be too mad about that, but mass selling on day 1 is obviously not a good look either. Overall, I would still call it one of the better TGEs we've had this year. Communication wasn't perfect, but given the circumstances, I think they handled it reasonably well. FUD is a little bit overblown given the chart is holding up well and is still 60% from launch
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Just hit on my first pokemon pack . . . Now I finally get why people get addicted to ripping cards online. @TiltRips actually made digital pack ripping feel fun again. Instant cashout or ship the card is such a clean feature.
Hello, world. @TiltRips @MonkeyTilt
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A $650 entry while other markets already price the same narrative near $800 tells you everything :D I’ve been tracking the SPACEX (PRE) launches closely, and @MEXC still looks like the best risk/reward entry available right now. 👌 Only 7,700 tokens are being offered, which is the smallest supply among the major exchanges. (smaller float usually means stronger reactions once demand hits) These are not actual SpaceX equity, but the pre-IPO narrative alone is massive. May 21 is the cutoff. After that, the $650 entry is gone.
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The FLOPS-vs-benchmark scatter plot from the HRM-Text benchmark video is the part people are underrating. 😆 Upper-left = best scores with the lowest compute. HRM is sitting there completely alone. Meanwhile the rest of the field is using between 100x and 44,000x more FLOPS to score around the same range. > 1B params > Around $1k pretraining cost > No post-training needed That chart changes the entire scaling conversation around @Sapient_Int.
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Arcaze The Builder retweeted
Introducing Tempo: The world’s first AI Head of Growth. AI can now scale a brand faster than any human, see how:
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Chain of Thought always felt kinda inefficient to me. Models are basically forced to “think out loud” one token at a time, like solving math by tweeting every step before the next thought can happen. HRM-Text from @Sapient_Int flips that. > Reasoning happens internally first, in latent space, then language comes after. > More like “figure it out, then explain it” instead of “talk while panicking through the solution” Way more interesting direction than just scaling params forever.
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Arcaze The Builder retweeted
Introducing Creatify Agent. The world’s first multi-agent orchestrator that makes viral ads without AI slop. Drop an ad idea below, and we’ll build it for you.
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Feels like every new AI release now is just “bigger model, more GPUs, more money”. Honestly i was getting tired of hearing the same scaling story. 😮‍💨 Then i saw HRM-Text from @Sapient_Int. 1B params, trained on ~40B tokens for around $1k, yet still beating some 7B models on reasoning benchmarks. The wild part is they’re pushing reasoning in latent space instead of relying on massive chain-of-thought outputs. I’m actually curious to test this one myself.
Introducing HRM-Text. An ultra-lean 1B-parameter reasoning language model designed to deliver strong general performance with a fraction of the data, compute, and infrastructure. Trained on just 40B structured tokens, HRM-Text achieves competitive performance while using ~1/1000 of the training data of comparable models. The kicker? The full model trains in roughly one day on a $1,000 budget. This opens the door to a new generation of AI that is powerful, accessible, and radically easier to adapt. Theories and research concepts once deemed too expensive to test are officially back in the game. Sapient Intelligence invites you to help us shape a new paradigm for general intelligence.
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I genuinely think retail almost never gets bored of this. FYI, @Tessera_PE opened Kalshi exposure and the presale still got wiped in minutes. That kind of demand usually tells you: > When smart money already made up its mind > When people stop asking “what is this” and start asking “how do i get in” > When scarcity becomes the real marketing We seriously need more plays like this on the space.
The $13B Kalshi pool sold out fast. The $14B pool opens on May 13, 14:00 UTC → app.tessera.pe/auction/T-Kal… Shortly after, trading will begin at a $14B implied valuation, powered by @MeteoraAG.
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