Perfecting a launchpad balances the fine line between wealth effect for market participants, and attracting strong teams who can build out good fundamentals.
taking into account all of the feedback from degens and founders alike, it seems like the design principles has to be these:
- allow a higher multiple upside for degens
- providing teams the runway and OPEX financing to build giga products
- bring attention to teams' product and launches
- block out capital extractors like snipers
WHAT IF
there is a whole new mechanism, designed from scratch. easier to participate and understand.
- market cap of the launch starts from 100k usd. really small. but it's on a standard xyk curve. Meaning that virgens are not buying at a fix price. second person buys higher than the first person. This means that the potential gains are much higher , and people can size better
- why then would the team launch at such a low val? we bring in a novel method for teams to raise funds along the xyk curve (on top of trading taxes)
- how do you prevent the team from rugging? team has no access to tokens unless hits a mcap milestone, or after one year. If teams want tokens before unlock, they can use the opex raised on the xyk curve to repurchase tokens
- how do u avoid a sniper or a bad actor who wants to steal a large chunk of the supply at the start. bring in reductive taxes within first hour of trading from 99% to 1%. So if you are sniping in the first second, you are buying at 100x the initial market cap.
- how to create a 3,3 flywheel where active and loyal participants get rewarded? of all launches, a small percentage of token supply of each launch is reserved to reward people who stake veVIRT, who trade agent tokens.
- how to make sure this airdrop is not a supply overhang. jeet jails still?
Evolving thoughts.
Pls chime in.
Genesis is dead.
From an amazing opportunity to a dead whale game, the @virtuals_io genesis mechanism isn't interesting anymore.
Let me explain you why👇
@ehwangah Here’s the study announcement.
We are specifically interested to see this research benefit Virtuals ecosystem projects.
We welcome partners to ensure we hit key topics in appropriate detail. We are also actively seeking study participants.
@ehwangah You should get involved in our study on AI token incentives and trading behavior.
We’re analyzing what drives engagement and bidding—insights that could directly help Virtuals and ecosystem projects. Let’s talk.
$PRSNA
So we have a directive internally — "Make Trenches Great Again"
Huge problem space, needs to be tackled in multiple angles in parallel.
Trust we are. Conducting short term experiments, while devving longer term technical solutions ("primitives") so the Ecosystem becomes self-serving.
One critical area to fix is https://t.co/qubNrw4iPk . Lots of varying opinions but TLDR; it's lost its magic of degeneracy. And we need that, so more trading + bidding.
So tell us wtf it needs, so we can compile into requirements and fix. Drawing mock ups help too!
PersonaAI is the first AI-driven market research platform for Web3, providing deep qualitative insights that help crypto projects optimize incentives, marketing, and retention strategies.
$PRSNA
Hands down, one of the best-performing agents, regardless of market behavior.
$PRSNA continues building exciting research studies and cool tech, led by the legendary @ScottSparkwave.
Can't be more bullish on this; it's a no-brainer for me!
📢 PersonaAI Web3 Research Study Update $PRSNA 🚀
We’re officially launching our qualitative research study on Web3 Incentives, Marketing, and Retention!
How It Works
1️⃣ Recruitment & Screening (Now - Mid March)
Participants complete a screener to qualify.
Selected participants move on to a pre-interview survey (quantitative).
https://t.co/RiWG7dG6LP
(please note: some countries are excluded due to legal restrictions on personal information and due to study priorities)
From this, we will select 24 participants for in-depth qualitative interviews.
2️⃣ Qualitative Interviews (March - April)
These interviews will be used to build AI-driven research personas that reflect real Web3 user behavior. Participants in the qualitative interviews will be compensated in $PRSNA
3️⃣ AI Persona Development & Validation (April)
AI personas will be created from interview data and refined using additional validation methods.
Only after this process will they be used in focus groups.
4️⃣ Human & AI Persona Focus Groups (April - May)
A human focus group will discuss Web3 incentives & marketing strategies.
Separately, an AI persona focus group will run the same discussions.
This will validate how well AI personas replicate real user behavior.
💡 This study is a major step in proving the power of AI-driven qualitative research.
Funding AI teams means more than just growth—it’s about aligning incentives, integrating data, and optimizing agent collaboration through the agent-to-agent framework.
The stronger the network, the smarter the agents, the greater the economic throughput.
This isn’t just capital deployment—it’s AI system design at scale.
Core Principles
✅ $PRSNA should appreciate based on real value creation—not speculation.
✅ We prioritize long-term holders—people who engage with and believe in the research economy.
✅ Token utility will reflect our Web3-native role—it won’t just be a placeholder for payments.
✅ Community contribution must be rewarded—engagement and participation matter.