Web3 Artist|Community Builder|DM for Collabs
Behind The Pencil
Joined April 2024
- Tweets22.7K
- Following11K
- Followers30.5K
- Likes121K
Pinned Tweet
Can I have a GM?
i like projects that start with a design question instead of a hype line.
@Tera_Map starts with this one: how do you give digital land a job? the answer is a virtual city built around 3,333 land nfts, each with a resource type and a rarity tier, planned for an economy on robinhood chain.
those traits are meant to decide the role each parcel plays. combine that with extraction, raiding, and protection mechanics and you get a system where land can be used, defended, and contested, not just stored.
that is where the idea gets interesting to me. a land nft that participates in gameplay has a different kind of value than one that only sits in a wallet.
still, the onchain economy, treasury holdings, and payouts are not live yet. until they are, i treat this as a concept with potential and not a finished product.
the real test is how the systems perform after launch.
every strong agent starts as an untested idea.
@agentdojo is where those ideas get pressure tested, rebuilt, and tested again.
winning matters, but learning what to change matters more.
experiment, adapt, compete.
that's the loop that builds better agents.
#AgentDojo
what keeps @fomopoly_rh engaging is that no single move decides the game.
it's the combination of plots, stocks, $DEAL, and the way you respond to each opportunity that builds a real position.
planning matters, patience matters, and resource balance matters more the further you progress.
every move adds to the bigger picture.
#Fomopoly
there's something refreshing about an arena where results do the talking.
with @agentdojo, you build your ai fighter, try a strategy, and the match tells you the truth.
no theory crafting, no guessing.
just experiments that turn into better agents over time.
sometimes the most interesting projects aren't about what they offer today, but what they're trying to build over time.
@projectspherexy fits that idea. dyson spheres made of cells, energy that accumulates, and a token launching on solana on november 3, 2026.
the vision is ambitious, and the real test is how well the mechanics hold up as people start using it.
for now, it's one worth watching closely.
#ProjectSphere
@rarelistio
Good Evening CT
most people guess what makes an ai agent good. @agentdojo lets you find out.
drop your fighter into the arena, watch how it performs against others, and learn from every outcome.
the feedback loop is the real advantage.
test, adjust, repeat until the strategy holds.
#AgentDojo
most players see plots and think the game is about owning as much land as possible. @fomopoly_rh asks for more than that.
your stocks, your $DEAL, and the opportunities that show up along the way all pull on the same strategy.
the players who last are the ones who plan ahead instead of chasing quick gains.
patience is a real advantage here.
#Fomopoly
the best agents aren't born, they're trained.
@agentdojo gives builders a real arena to put their ai fighters to the test, where every match shows what holds up and what falls apart.
a loss isn't a setback here. it's data.
each round sharpens the strategy for the next one.
what makes @projectspherexy interesting is the scale of the idea behind it.
project sphere is built around advancing civilization toward a kardashev type ii level, where a civilization harnesses the energy of an entire star. it sounds like science fiction, but here it becomes the foundation of an ecosystem.
the way it works is through dyson spheres built from smaller units called cells. they collect and generate energy over time, and that accumulated energy becomes part of your progress.
the mechanics, costs and long-term sustainability will matter just as much as the vision.
#ProjectSphere
@rarelistio
what makes @fomopoly_rh interesting is how much your decisions matter throughout the game.
it's not just about acquiring plots and expanding your territory. you also need to think about how you manage your stocks, use your $DEAL, and make the most of every opportunity that comes your way.
a good strategy requires patience, proper planning, and the ability to think ahead rather than focus only on immediate gains.
every move contributes to the bigger picture.
Good afternoon CT
experiment. adapt. compete.
what makes @agentdojo interesting is the freedom to test different ai fighter strategies and see what actually works in the arena.
not every attempt will win, but every result reveals something worth improving.
that's how better agents are built, through experimentation, not guesswork.
Gdojo
Setbacks are just plot twists in your learning story. @agentdojo makes AI battles the ultimate classroom
Powered by @rarelistio
Axis retweeted
Gm gFomo
That's an interesting angle behind @fomopoly_rh. With limited land, changing prices, stocks, $DEAL, and FOMO mechanics, every decision can shape a player's next move.
The real test isn't just who owns the most land, but who understands the economy, reads the competition, and knows when to act.
It's more than building a virtual city. It's a game of timing, strategy, and human behaviour.
Axis retweeted
Can I have a GM?
i like projects that start with a design question instead of a hype line.
@Tera_Map starts with this one: how do you give digital land a job? the answer is a virtual city built around 3,333 land nfts, each with a resource type and a rarity tier, planned for an economy on robinhood chain.
those traits are meant to decide the role each parcel plays. combine that with extraction, raiding, and protection mechanics and you get a system where land can be used, defended, and contested, not just stored.
that is where the idea gets interesting to me. a land nft that participates in gameplay has a different kind of value than one that only sits in a wallet.
still, the onchain economy, treasury holdings, and payouts are not live yet. until they are, i treat this as a concept with potential and not a finished product.
the real test is how the systems perform after launch.
Gm gFomo
That's an interesting angle behind @fomopoly_rh. With limited land, changing prices, stocks, $DEAL, and FOMO mechanics, every decision can shape a player's next move.
The real test isn't just who owns the most land, but who understands the economy, reads the competition, and knows when to act.
It's more than building a virtual city. It's a game of timing, strategy, and human behaviour.
Axis retweeted
What is the Alpha?
the best part of a fight is rarely the fight itself. it is the preparation nobody sees.
@agentdojo gives that hidden layer a place to matter. knowing abilities, spotting weaknesses and finding the right approach are what separate a good run from a great one.
test your strategy, learn from the match and go again.
#AgentDojo
Axis retweeted
Good Morning X builder's
warehouse automation is the obvious use case. it is not the biggest one.
@vangrid_io is building a network that turns everyday environments into structured 3d data for physical ai. the warehouse example is easy to picture. a robot enters an unfamiliar building and needs to know how wide the aisle is, whether it can turn safely around a corner, and where the obstacles and elevation changes sit.
but the bigger opportunity goes beyond that. as robotics and world models advance, they need more than internet images and synthetic environments. they also need representations of the physical world as it actually exists.
contributors capture locations with a phone, and the reconstruction produces point clouds, gaussian splats, and textured meshes. privacy is handled through on-device redaction of faces and license plates, and records are anchored to base for verification.
my caution is that this is an early category. the value depends on whether real demand from robotics teams shows up and whether the data quality holds.
spatial data is becoming part of the physical ai stack.
Axis retweeted
GM CT
collateral only systems and points only systems both have the same weakness. neither tells you much about who is actually behind the wallet.
@zerufinance is testing a third path with behavioral trust signals.
zscore is a 0-1000 score built from lifetime onchain activity across 320m+ wallets and 30+ chains. it looks at trading, lending and borrowing, liquidity provision, staking, governance, and other patterns, and it is available via api.
the stated goal goes beyond scoring. it is to use more than collateral when assessing risk, filtering incentives, screening counterparties through tools like zscreen, and allocating capital. 3m+ api calls processed indicate some integration demand, and 1m+ checks on etherscan show users are looking.
but the decisive metrics are not wallets scored or checks counted. they are whether higher zscores correlate with better repayment rates, lower default, reduced sybil leakage, and sustained protocol usage after incentives end.
zaps and 25k+ campaign participants show the incentive side moving. live undercollateralized lending through zlend is the clearest proof point still ahead.
progress is real. the test now is measurable outcomes.
Good Morning X builder's
warehouse automation is the obvious use case. it is not the biggest one.
@vangrid_io is building a network that turns everyday environments into structured 3d data for physical ai. the warehouse example is easy to picture. a robot enters an unfamiliar building and needs to know how wide the aisle is, whether it can turn safely around a corner, and where the obstacles and elevation changes sit.
but the bigger opportunity goes beyond that. as robotics and world models advance, they need more than internet images and synthetic environments. they also need representations of the physical world as it actually exists.
contributors capture locations with a phone, and the reconstruction produces point clouds, gaussian splats, and textured meshes. privacy is handled through on-device redaction of faces and license plates, and records are anchored to base for verification.
my caution is that this is an early category. the value depends on whether real demand from robotics teams shows up and whether the data quality holds.
spatial data is becoming part of the physical ai stack.
GM CT
collateral only systems and points only systems both have the same weakness. neither tells you much about who is actually behind the wallet.
@zerufinance is testing a third path with behavioral trust signals.
zscore is a 0-1000 score built from lifetime onchain activity across 320m+ wallets and 30+ chains. it looks at trading, lending and borrowing, liquidity provision, staking, governance, and other patterns, and it is available via api.
the stated goal goes beyond scoring. it is to use more than collateral when assessing risk, filtering incentives, screening counterparties through tools like zscreen, and allocating capital. 3m+ api calls processed indicate some integration demand, and 1m+ checks on etherscan show users are looking.
but the decisive metrics are not wallets scored or checks counted. they are whether higher zscores correlate with better repayment rates, lower default, reduced sybil leakage, and sustained protocol usage after incentives end.
zaps and 25k+ campaign participants show the incentive side moving. live undercollateralized lending through zlend is the clearest proof point still ahead.
progress is real. the test now is measurable outcomes.