The $AXIS Community Sale already live, and I went through the full details. The sale price is $0.10 per $AXIS, with a $100M FDV. The community sale has a $1M hard cap for 10M $AXIS, which is 1% of the total supply. Commitments start from $100 and go up to $100K. The vesting is also worth noting. 10% unlocks at TGE, followed by a 6 month cliff. The remaining 90% then unlocks linearly over the next 6 months. The commitment window opened on September 21 at 13:00 SGT and closes on September 28 at 13:00 SGT. Settlement runs from September 28 to September 30, with accepted commitments finalized onchain. If the sale gets oversubscribed, allocation will be handled pro rata. Any USDC that isn't accepted will be automatically refunded. One thing I would definitely check before committing is the wallet setup. KYC/KYB is done through Sonar, then you connect your own wallet. That same wallet needs to be used for the commitment, and it will be screened again when you commit. Also, commitments are final. You can increase the amount, but you cannot reduce or cancel it later. There is no confirmed TGE date yet. @axisrobotics says the timing, distribution mechanics and delivery details will be announced later. The sale is open at sale.axisrobotics.ai And please be careful with DMs. Axis says they will never DM first or ask you to send funds to a private wallet.

The real problem with AI agents isn’t whether they can trade. It’s whether anyone can trust them with capital. Today, an agent can have a great strategy and a strong track record, but there’s no standard way to turn that performance into credit. That’s the gap @agenticscredit is trying to solve. Their Agentic Credit Score (ACS) measures an agent’s real performance across profitability, drawdown, consistency, longevity, win rate and risk-adjusted returns. The score ranges from 300–850, with 580 as the current qualification threshold. The interesting part is what comes after the score: Perform → Build reputation → Qualify → Access constrained capital And the capital isn’t simply handed to the agent. Agentics.credit says qualified agents use non-custodial credit with hard position and leverage limits, initially through Avantis on Base. That creates a potential new primitive for the agent economy: AI agents with their own verifiable financial track record. Base is already positioning itself as infrastructure for an economy where agents can pay, earn and transact onchain. If agents eventually become major economic actors, they’ll need more than wallets. They’ll need reputation, risk controls and access to capital. That’s the part of Agentics.credit I’m watching closely. 🔵

I think sleep was actually a smart place to start with consumer AI. It’s something we do every day. The data keeps changing, but the habit stays consistent. One night tells you something. A week starts showing patterns. Over time, you can see how your routine, sleep schedule and recovery are connected. That gives an AI more context to work with than a single question ever could. This is what makes @sleepagotchi interesting to me. It started with a very focused use case: helping people understand their sleep better. Now that experience can become a foundation for something much bigger. Health and wellness is only the first vertical under Gotchi Labs. The same idea can eventually move into fitness, shopping, productivity and other parts of everyday life. For me, the interesting part isn't just the number of verticals. It's whether the context built in one area can make specialized agents genuinely more useful. Sleep was a simple starting point. The bigger experiment is what comes next. 🦖

QFEX pre-points and already exploring RWA managed accounts. The 29.6% annualized result was from testing, before leverage. @QFEX is definitely one to watch.

$AXIS Community Sale is now live. The part I found most important is the structure behind it. ➥$0.10 per $AXIS ➥$1M hard cap ➥10M $AXIS allocation ➥10% at TGE ➥6 month cliff ➥90% linear vesting after that Commitments are made in USDC on @base , with the window closing on September 28. If the sale is oversubscribed, allocations are settled pro rata and unused USDC is refunded automatically. For anyone participating, the wallet details matter too. KYC first, then connect the wallet you control and commit from that same clean wallet. The sale is live at sale.axisrobotics.ai And as always, be careful with links and DMs. The @axisrobotics team says they will never DM first or ask for transfers to private wallets.

Gm CT, I’ve been using @sleepagotchi for a while, and the Gotchi Labs update made the bigger idea click for me. Sleep was just the starting point. Now they’re looking at other parts of everyday life too, like fitness, shopping, productivity and personal AI. What I like is that they’re not trying to make one AI that does everything. The idea is to have different agents for different needs, with each one having the right context to be actually useful. @sleepagotchi is already live with 500K+ registered users and around 80K daily active users. So they’re not starting with just an idea. There’s already a product and a user base to build from. $CHI is also planned as the common layer for access, rewards and commerce across the wider ecosystem. For me, the interesting part is simple: Can these specialized agents become useful enough to become part of our daily routines? That’s what I’ll be watching from Gotchi Labs. 🦖

Autonomous agents can already execute trades without a human touching the keyboard. But execution was never the biggest problem. The harder question is whether an agent can build enough history to justify access to capital. That’s what makes @agenticscredit interesting to me. Instead of treating every trading agent like a blank wallet, Agentics is building a credit layer around measurable trading behavior. Performance. Consistency. Drawdown. Track record. All of these can become signals for understanding how an agent actually behaves over time. If AI agents are going to become real participants in financial markets, they will need more than the ability to trade. They will need a way to prove themselves. That’s the gap Agentics is trying to fill.