Mint is over. The measurement phase is next.
Quantum Echoes from @quipnetwork is done minting.
What remains is the part that actually uses the quantum hardware. Every unrevealed token is still waiting for a circuit run. When you join a reveal queue, a batch of jobs hits real machines, QVRF returns a seed with a transcript, and the art is drawn from that seed not from a value that existed at mint.
Until then the pieces stay in superposition: tradable, onchain, but not yet resolved. Free reveals will run in sponsored cycles; faster reveals are available if you donโt want to wait.
The collection proved demand. The next test is operational thousands of verifiable quantum jobs, delivered in public, with results anyone can check.
Thatโs the more interesting half of the experiment.@quipnetwork
$10 for a single post? ๐
I just found out Ultra Wallet is running an Ambassador program where you can earn USDT for creating posts about the app.
Hereโs how it works:
1. Join the Ultra Wallet mini app on Telegram.
2. Go to Profile โ Contest โ Ambassador
3. Apply once with a few details about your community.
4. Choose the platform you want to post on.
5. Create your post about Ultra Wallet and tap Start.
6. Once your post gets approved, claim your USDT reward.
7. Wait for the cooldown and repeat.
Simple process, and you can keep participating after each cooldown.
If youโre already creating crypto content, this is one worth checking out.
Try it here: ๐
https://t.co/WE3527GYvx
The more I explore TON DeFi, the more I think the next phase wonโt be about having more protocols.
It will be about making the existing liquidity easier to access.
Thatโs where https://t.co/ROE8lgSJcl gets interesting to me.
https://t.co/ROE8lgSJcl started as a non-custodial AMM on TON, but the bigger opportunity is how its infrastructure can connect users to liquidity across a much broader trading environment.
Omniston is a big part of that direction.
Instead of thinking about liquidity as something locked inside one pool or one venue, Omniston can aggregate routes and connect TON users with liquidity beyond a single DEX experience.
That matters because liquidity fragmentation is one of the problems DeFi keeps running into.
Users donโt necessarily care where the liquidity comes from.
They care about the route, the execution, the amount they receive and how simple the process feels.
As TON continues expanding, the infrastructure sitting underneath that user experience becomes increasingly important.
And thatโs why Iโm watching https://t.co/ROE8lgSJcl closely.
The interesting part may not just be what https://t.co/ROE8lgSJcl is today.
Itโs what this infrastructure could enable for TON DeFi as more liquidity, assets, applications and users enter the ecosystem.
TON needs liquidity.
Users need better access to it.
Protocols need infrastructure that can connect the two.
Thatโs the opportunity I see.
๐ https://t.co/ROE8lgSJcl: https://t.co/ajyErQD8Rh
๐ https://t.co/ROE8lgSJcl Blog: https://t.co/ALF01TPm6P
๐ STONBASSADORS: https://t.co/30R3NF3xRg
๐ https://t.co/67uuIVWIlZ RESOURCES: https://t.co/J4TAWEbNFV
#STONfi #TON #DeFi #Omniston #DEX
I said it and I'm making it happen!
Day one of editing @stevewilldoit until he recognizes and tips me for the genuine love and supportโค.
Much effort went into this by @Hybrid00901
Let's tag @stevewilldoit ,@kingadukes and @gamdom till they see it.
For the love of gamdom ๐
Enjoy y'all
Specialized agents are a better bet than one general assistant.
A single AI that tries to handle everything usually ends up being average at most of it. Gotchi Labs is going the other direction. Start with one vertical, prove the agents in real daily use, then expand into more areas of consumer life with the same approach.
@sleepagotchi already gives them a live base to work from. The coach, the wearable data, and the daily usage create real context. That context is what makes specialized agents more useful over time instead of just another generic chatbot.
The bigger vision only works if the first vertical is solid. Thatโs what makes the expansion feel more grounded than most multi-product AI roadmaps.
@sleepagotchi
Theyโre not starting from a whitepaper.
Gotchi Labs just put clearer numbers behind the vision. @sleepagotchi already has 500K+ registered users, around 80K daily active users, and a live AI Sleep Coach in peopleโs hands. That becomes the first vertical under a wider Consumer AI platform.
Most projects talk about multi-vertical ecosystems before they have one product working. These ones are expanding after already proving daily usage, real distribution, and a live agent layer on top of sleep and wearable data. $CHI becomes the wider access and rewards layer as more verticals come online.
The interesting part is the order. They built the foundation first. Now theyโre scaling the vision on top of something that already exists.
@sleepagotchi
One thing that still works well in @sleepagotchi is how the coach handles imperfect nights.
You donโt get a long report or a list of failures. You get a short note on what likely affected the score and a simple suggestion for the next day. Itโs direct without being heavy.
Most sleep tools make a bad night feel like a setback. This one treats it more like information you can actually use.
That tone is still one of the better parts of the experience for me.
@sleepagotchi
A second job for quantum machines
Annealing systems were the first quantum hardware with a clear paid role on @quipnetwork optimization workloads, portfolio-style problems, the kind of discrete search classical solvers struggle with at scale.
QVRF opens a second lane. Gate-based machines run random circuit sampling, produce measurements, and get paid for work that classical computers canโt efficiently fake.
The output becomes certified randomness with a transcript anyone can re-run.
That matters for the marketplace. Different architectures stop competing for the same narrow job.
Annealers take optimization. Gate-based systems take randomness and related sampling. Classical machines still validate and benchmark.
A network that only had one useful workload for one type of QPU would stay thin.
Two real workloads, matched to the hardware that fits them, is a more serious foundation.@quipnetwork
I just started checking out ClawArena and I like how straightforward the whole thing is.
You donโt need to overcomplicate it. You join, take part in the activities, and earn points along the way. The more you participate, the more points you can stack up.
Thereโs also a $20,000 reward pool up for grabs, which makes the leaderboard worth watching.
Right now, Iโve generated 100 points and Iโm sitting at #2961 on the leaderboard.
Still early, so Iโm keeping at it and seeing how far I can climb.
If you havenโt joined yet, itโs simple to participate. You can start here ๐
https://t.co/cpzHSpk5Ec
@ClawArenaWorld