Jess the little ninja cat | Content Writer @injective Supporter 🥷
Joined September 2025
- Tweets45.7K
- Following1.2K
- Followers1.9K
- Likes37.4K
Jess ⛩️ retweeted
👽🚀 KAV is the Alien of Solana - KAV Loves Solana! 💜
🔥 STOP SCROLLING! What if you could turn a screenshot, website link, or simple idea into a working web app using AI?
🧠 Today's KAV Developer Discovery: Same.new - Your AI Coding Jetpack!
Whether you're a beginner exploring vibe coding or an experienced developer, this AI-powered platform can help you build faster.
⚡ What Can Same.new Do?
🔹 Text to Website - Describe your idea and generate a web app.
🔹 URL to Code - Recreate website layouts from links.
🔹 Screenshot to Website - Turn visual designs into editable code.
🔹 AI Debugging - Find issues, improve code, and make changes.
🔹 Built-in Terminal - Run development commands directly in your browser.
🔹 Code Editor - Inspect and modify your project's source code.
🎁 FREE PLAN: 500,000 AI Tokens Per Month!
✅ $0 monthly plan with a reported 500K-token allowance.
✅ Tokens power AI requests, code generation, and editing - not 500,000 projects or prompts.
✅ Great for experimenting with prototypes and learning AI-assisted development. Usage limits apply.
🔗 Try Same:
same.new/
📚 Documentation:
docs.same.new/
💰 Plans & Limits:
docs.same.new/usage/pricing
🛡️ KAV Security Tip: Review AI-generated code, protect API keys, and never copy someone else's website without permission.
💜 KAV Wisdom: AI can accelerate your coding, but understanding what you build makes you a real developer.
Knowledge Before Hype - Build Smart, Stay Secure! 🛸👽
#KAV #Solana #AI #VibeCoding #WebDevelopment #BuildWithAI #DeveloperTools #AITools #AIDevelopment #BuildInPublic
🤖 Made with AI
Jess ⛩️ retweeted
Most meme coins start with hype. 👀
But what if a new token started with the activity of a real onchain community?
That’s the idea behind ActivityFi by @zerufinance 🧵👇
1. Start with real activity
People are already trading, providing liquidity, and using protocols onchain. Zeru turns that existing activity into something measurable instead of relying only on followers or hype.
2. Connect your wallet
Connect through Zaps and let your eligible wallet history count. Your activity helps establish your starting balance and Trader Score.
3. Real activity earns your place
Your qualifying activity helps determine your rank. Wash trading doesn’t count, so the focus is on genuine economic activity rather than fake volume.
4. Compete and climb the leaderboard
You can join a clan, support traders you believe in, and compete with other participants. Rankings update as qualifying activity comes in.
5. Activity becomes a token market
This is where ActivityFi gets interesting. A community’s onchain activity can power a new zToken market. The people who qualify through real activity can earn the opportunity to participate in its launch.
6. Demand determines the outcome
Instead of relying only on early insider allocations, the model is designed to connect participation with actual activity and market demand.
The bigger picture?
Zeru is exploring a different way to launch community driven tokens: activity first hype second.
Your onchain history becomes more than a transaction record. It can help determine your reputation, ranking, and access to opportunities.
I’m watching how this model develops because rewarding genuine participation could make onchain communities more interesting.
Explore it yourself: zaps.wtf/
Jess ⛩️ retweeted
the part of @projectspherexy that got me wasn't the token, it was the sun stat in their genesis post
the sun puts out about 380 septillion watts and earth catches less than a billionth of it, the rest just pours off into empty space
so the whole idea is basically "why let it go to waste", and building a sphere cell by cell is a strangely honest answer to that
i'm more curious about that than the price right now
Jess ⛩️ retweeted
the team history montage got me.
then @nitrosendx cuts to a bot doing the email work while you sleep.
🤝 Paid partnership
Jess ⛩️ retweeted
ever noticed how seeing people rush to buy something can make you want it too, even when you weren't interested before?
that's the kind of pressure @fomopoly_rh wants to build into its game.
when it opens, players will be able to buy and sell virtual land in a digital city.
the team has also mentioned a hidden game feature meant to increase competition and make players feel more urgency.
they haven't explained exactly how it works yet.
i found this through @rarelistio
and i'm curious whether that pressure will make the game more exciting or make players rush into decisions they'd normally think twice about.
two people could open similar shops, but what happens when one starts earning months before the other?
that extra time could make a difference.
i've been thinking about how this connects to @fomopoly_rh
in its digital city, players will be able to buy virtual land designed to generate $DEAL, the game's digital token, along with stock rewards.
land prices are also designed to rise as more activity happens.
so players have to think about two things: how much they pay and how long their land could earn rewards.
what i'm curious about is when those rewards actually start.
found this through @rarelistio and that detail could matter when deciding to buy.
Jess ⛩️ retweeted
GM...
Myth: robots can learn from the internet like chatbots did. Fact: @vangrid_io says otherwise.
Ground-level 3D data from real places can’t simply be scraped, so someone has to capture it. Vangrid turns phones into a capture network that collects it on demand, with provenance anchored onchain on Base.
Live activity: explorer.vangrid.io
🤝 Paid partnership
Jess ⛩️ retweeted
Elon sampe terkesima
Google udah ngedrop lagi model ai baru, Gemini 4 Carbon, dari benchmark si keliatan buat ngunggulin astra, bahkan model ini lebih pinter dari Gemini 4 Argon sebelumnya
Tapi harganya lumayan mahal $4 per 1M input dan $20 per 1 M output, model ini di klem lebih cocok buat cyber security
Jess ⛩️ retweeted
Your wallet has a history. But does that history actually work for you?
Every swap, trade, lending activity, and interaction leaves a record onchain.
The problem is that most platforms see transactions, not the person or behavior behind them.
That's where @zerufinance comes in.
Through zScore, ZeruAI analyzes wallet activity to build reputation signals that protocols can use for credit decisions, access, and reward allocation.
And with Zaps, that same focus on real activity extends to communities and contributors.
The bigger idea is simple:
Your onchain history shouldn't just be a record of what you've done. It could help determine the opportunities you qualify for next.
That's the part of ZeruAI I'm watching closely.
More research to come.
🤝 Paid partnership
GM, CT.
35M monthly users across 12 trading platforms, and the reported loss rates raise an important question.
Where does all that trading activity create value, and who gets to benefit from it?
Activity Markets explores a different approach, connecting verified onchain activity to miner and creator rights while letting traders determine what the market is worth.
Meanwhile, @zerufinance is working on another important piece of the onchain puzzle: wallet intelligence.
Through ZeruAI, wallet age, funding patterns, and onchain behavior can help projects better understand wallet quality and identify potential Sybil activity.
One focuses on turning verified activity into participation opportunities. The other focuses on making wallet activity more meaningful and useful.
Both raise an interesting question about how onchain data can create value beyond simply recording transactions.
The opportunity lies in building systems that reward meaningful participation and make better use of the information blockchains already provide.
I'm watching how both approaches develop.
More research to come.
Jess ⛩️ retweeted
Been looking into how agent roles work on @termix_ai and one detail caught my attention.
The identity stays the same but the role can change depending on the job.
An agent can create a task in one transaction and take someone else's task in the next.
I checked the docs and the buyer or seller role is not permanently attached to the profile. It only applies to that specific transaction.
That feels a bit different from the usual marketplaces where your role stays fixed.
It also makes the system more flexible, especially when agents can interact with each other in different ways.
What i am still curious about is how the protocol handles the stake when an agent switches from posting jobs to accepting them.
Does @termix_ai keep the same stake locked across both roles or does each new transaction require a separate stake?
🤝 Paid partnership
Jess ⛩️ retweeted
getting started on vangrid (@vangrid_io ) is deliberately straightforward
everything begins at app.vangrid.io, which routes contributors into the capture flow and organisations into the bounty marketplace
the capture interface runs directly in any browser or can be installed from Google Play on Android
a wallet serves as the only form of signin →no email or password is required
an invite code is needed solely for uploading captures, while browsing open requests remains unrestricted
from there the sequence is simple: select a bounty, review its location and requirements, record the footage according to the guidance and submit before the deadline
once the requester accepts the submission, the reward is paid
the entire path is designed to move someone from first visit to completed capture with as little friction as possible
@vangrid_io
🤝 Paid partnership
Jess ⛩️ retweeted
meme launches have settled into a predictable pattern that privileges speed and private access over any record of prior participation
activity Markets reverse that filter
@zerufinance
new tokens emerge from the verified onchain activity of existing communities, so that contributors who have already demonstrated consistent behavior receive miner and creator rights
traders then determine the market’s value through their own positions
the design simply substitutes observed history for the old race to click first
activityFi is opening registration on that basis
Registrations → app.zaps.markets/markets
@zerufinance
🤝 Paid partnership
Jess ⛩️ retweeted
Two of the six invariants in the @meetmotes smart account docs:
→ the AI signer can't grant itself broader permissions than the owner approved
→ owner withdrawal never depends only on the website staying online
Those are the first lines I'd check on any agent product.
🤝 Paid partnership · 🤖 Made with AI
Jess ⛩️ retweeted
good morning
love seeing how physical AI is growing 🩷
a robot can look perfect in simulation and still struggle the moment it hits a real street. real life is messy with unexpected obstacles, uneven surfaces, weird layouts, and small details that are hard to recreate perfectly.
synthetic data is still super useful though. you can control lighting, weather, objects, and generate huge amounts of training material for rare situations without going outside. it gives flexibility and controlled testing.
but real-world captures show the actual conditions as they exist. for something like a delivery robot on a crowded sidewalk, synthetic data can give it thousands of simulated pedestrians, while verified real captures help developers understand the real layout and visual complexity of different places.
both approaches have their strengths. one offers scale and control. the other reveals the details simulations often miss.
real-world data needs careful verification, privacy protection, and quality standards, but when done right it becomes very powerful.
the opportunity with @vangrid_io is making diverse spatial observations more accessible through smartphone-powered contributions. that feels like a practical way to help physical AI developers get more real observations from actual environments.
the future of physical AI training probably won’t depend entirely on synthetic data or real-world captures. it will depend on how effectively we combine both.
the future looks bright 🤍
Jess ⛩️ retweeted
good morning
An AI trading agent can claim a strong track record, but reputation means more when others can actually verify the evidence.
thats the hard part of trusting autonomous financial agents
In traditional trading, performance reports often depend on what the trader or platform shares. Independent verification is difficult, especially when unsuccessful trades or risky decisions aren’t fully disclosed.
Onchain transparency offers another approach.
Imagine an AI agent executing trades through blockchain protocols where transactions can be recorded and examined independently.
Those records can help verify trading activity, position changes, and certain outcomes without relying only on screenshots or self-reported results.
Over time this can build a more credible trading reputation.
But there’s an important limitation. Onchain transactions don’t automatically show everything. Offchain trades, unrealized losses, execution costs, and wallet ownership still need careful consideration.
Reliable reputation systems have to turn verified activity into meaningful risk assessments, not just count transactions.
thats what makes @agenticscredit interesting to me
Theyre exploring trading performance and reputation-based scoring to help build greater trust in autonomous financial agents.
Their Agent Credit Score (ACS) ranges from 300 to 850. A score of 580+ can make an agent eligible for the funding waitlist, though it doesn’t guarantee capital.
The bigger opportunity is making financial reputation easier to verify and harder to manipulate.
Trusting an autonomous trading agent shouldn’t depend entirely on what it claims to have achieved. It should depend on the quality of evidence supporting its performance.
thats why i am watching Agentics Credit
gAgentics guys 👋
Jess ⛩️ retweeted
Early morning my bros 🥱
1/5
An identity gets more interesting when it has somewhere to belong.
Online, we’re used to profiles, usernames, and digital collectibles. They help people recognise us, but their meaning often stops at the platform where they exist. Put identity inside a network connected to real-world places, and a different question comes up: what does it actually mean to have a presence on the grid?
That’s what caught my attention about Vangrid Agents. Your identity on the grid is a simple phrase, but it opens up an idea worth exploring. Vangrid is building around real-world capture and spatial data, so I’m curious how Agents fit into that wider picture. Could identity become a recognisable layer within this ecosystem, rather than just another digital item to collect?
I’m not going to guess at features or promise utility before seeing the details. A name can sound compelling, but its real value depends on what it represents, how people interact with it, and what purpose it serves once the initial excitement fades.
The reveal is set for 30.10.2026 on @opensea, so we won’t have to wait long to see what the team has prepared.
For now, I’m interested in the concept itself: identity tied to a grid built around the physical world. Let’s see what Vangrid Agents actually bring. @vangrid_io
Good night Quipers 😴
A result can look impressive and still leave one important question unanswered: how do you know it deserves your trust?
That question matters even more when computation happens on hardware you can’t directly inspect. A number appears on your screen, but the number alone doesn’t tell you how it was produced, whether the process was reliable, or whether someone else can independently check it.
Quip Network approaches this challenge with multiple layers of result verification in its QVM design. Results are checked against classical simulation, compared through independent classical benchmarking, and linked to hardware through cryptographic attestation.
Each layer addresses a different part of the trust problem. Simulation gives another point of comparison. Benchmarking helps evaluate the output independently. Attestation connects the claimed result to the hardware involved in producing it.
None of these checks should be mistaken for a magical guarantee that every computation is correct under every condition. Their value is in making verification part of the workflow rather than asking users to accept an output on faith.
That distinction could matter as quantum computing moves beyond controlled demonstrations and into applications where people need reasons to trust what a system returns.
New computing power is exciting. Being able to scrutinize its results is what makes it more useful.
@quipnetwork
Jess ⛩️ retweeted
good morning
@quipnetwork more than just a quantum project
the deeper I look into quipnetwork, the more interesting it's visions becomes
They're building at the intersection of computing, blockchain infustrucre, and post-quantam security
Technology - connecting quantam processer
with CPUs and GPUs to create a shared computing network
Security - developing post-quantam solutions to help project digital assets against future quantums threats
Ecosystem - building tools like quickswap and qvm to expand what's possible accross quantum and classical computing
Quip is not just exploring a new technology narrative. It's working to connect computing infrastructure with the security challanges of tommorow
Jess ⛩️ retweeted
What is Rarelist? Everything you need to know 😉
If you are looking for the next big thing in Web3 creator ecosystems, keep an eye on @rarelistio . Here is a quick breakdown of what they are building and why it matters
What is Rarelist?🤔
Rarelist is a curated launch platform designed around social contribution. It gives creators and community members a smooth way to contribute to projects and get rewarded for their activity.
🔥 Key Features & Products:
>Creator Campaigns: Specialized campaigns for content creators and active community contributors.
>Inclusive Reward System: Fair distribution models that reward real effort and engagement.
>Diverse Participation: Multiple ways to contribute from content creation to active social engagement.
>Curated Launches: A platform tailored for high quality Web3 projects to launch and scale their communities.
💼 Team & Partnerships:
Partnerships Contact: @samimonday is handling key partnerships and ecosystem growth for the platform.
Backed by a strong, fast growing community with over 18K+ active followers already participating in early campaigns!
💡 Why join early?
Rarelist is reimagining how creators earn in Web3. If you create content, engage on X, or love earlystage Web3 ecosystems, this is a platform you don’t want to miss.
🔗 Check them out: rarelist.io/r/BirdRifat
Jess ⛩️ retweeted
GM Everyone
The next bottleneck for Physical AI might not be intelligence. It might be access to the real world.
While researching @vangrid_io , I found an interesting part of its model: an AI agent can request a capture of a real location, pay a bounty, and have a human collect the footage. Vangrid then reconstructs the scene into a 3D model.
Think about what that changes.
An agent doesn't need a camera fleet or a person permanently on-site for every request. It can commission specific physical-world data when it needs it.
That creates a different kind of infrastructure: software defining the task, people collecting ground truth, and an onchain payment layer coordinating the exchange.
The hard part now is whether the resulting data is accurate, detailed, and useful enough for real decisions.
Because Physical AI can't learn from a world it can't reliably observe
Jess ⛩️ retweeted
gm legends!
@projectspherexy is getting closer to a major milestone
November 3 marks the arrival of $SPHERE on Solana, opening a new chapter for the project and its growing community
The first star is waiting, and the journey is just getting started
Looking forward to seeing how the Seed Stage unfolds
here we goo!
The first star is already waiting.
$SPHERE arrives on Solana on November 3.
Until then, there is no official token.
Jess ⛩️ retweeted
the first question i had about AI agents holding money was simple: what stops it from doing something dumb with it?
with @meetmotes the answer is you
your mote's agent runs from its own smart account, and it can only act inside the permissions and limits the owner signs. no unlimited access, no going off script
honestly that's the part that makes "nft owned agent" feel usable, not scary
what limit would you set first?
