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tokonomics

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I keep coming back to one number when looking at TermMax ($TMX) tokenomics: the circulating supply. A 1 billion TMX max supply sounds straightforward, but only around 200 million TMX is expected to circulate initially. That makes the headline max supply less interesting to me than the actual free float and how quickly that float expands. Investor allocations alone suggest meaningful monthly vesting after the cliff. When teams and advisor unlocked overlap, the potential monthly supply entering the market becomes even more important. That doesn’t automatically mean bearish. Scheduled unlocks are normal in crypto. But the real question is: Can protocol growth and demand keep pace with the increase in circulating TMX? 👀 I’ll be watching: 🔹 Circulating supply growth 🔹 Monthly unlock pressure 🔹 Staking and governance participation 🔹 Actual protocol usage 🔹 Whether new supply is absorbed by genuine demand The 1B headline number tells only part of the story. For me, tokenomics is ultimately about when supply becomes sellable—not just how much supply exists on paper. What matters more to you when evaluating $TMX: max supply, circulating supply, or unlock schedule? #TermMax #TMX #DeFi #Tokonomics #crypto @termmax
I keep coming back to one number when looking at TermMax ($TMX) tokenomics: the circulating supply.

A 1 billion TMX max supply sounds straightforward, but only around 200 million TMX is expected to circulate initially.

That makes the headline max supply less interesting to me than the actual free float and how quickly that float expands.

Investor allocations alone suggest meaningful monthly vesting after the cliff. When teams and advisor unlocked overlap, the potential monthly supply entering the market becomes even more important.

That doesn’t automatically mean bearish. Scheduled unlocks are normal in crypto.

But the real question is:

Can protocol growth and demand keep pace with the increase in circulating TMX? 👀

I’ll be watching:

🔹 Circulating supply growth
🔹 Monthly unlock pressure
🔹 Staking and governance participation
🔹 Actual protocol usage
🔹 Whether new supply is absorbed by genuine demand

The 1B headline number tells only part of the story.

For me, tokenomics is ultimately about when supply becomes sellable—not just how much supply exists on paper.

What matters more to you when evaluating $TMX: max supply, circulating supply, or unlock schedule?

#TermMax #TMX #DeFi #Tokonomics #crypto
@TermMax
Nakita Niesen HmX3:
@termmax cerypto
Verified
#opg $OPG #OPG 𝗪𝗵𝘆 𝗢𝗽𝗲𝗻𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁’𝘀 𝗧𝗼𝗸𝗲𝗻𝗼𝗺𝗶𝗰𝘀 𝗠𝗮𝗱𝗲 𝗠𝗲 𝗣𝗮𝘆 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 I keep noticing something strange about crypto long enough to get cynical. Too many projects slap “AI” and “blockchain” on a white paper, raise a bag, and vanish. I almost ignored OpenGradient because of it. But then I dug into their tokenomics—and for once, I didn’t feel like I was being played. One billion OPG tokens. That’s it. No infinite minting. They raised $9.5 million enough to build, not so much that they’re overhyped. But honestly, the real story is how they split it. Ecosystem gets the lion’s share: 40% (400 million). That’s for grants, devs, partnerships—things that actually grow the network. Only 10% unlocks at launch; the rest drips out over five years. That’s discipline. Foundation takes 15% (150 million) for ops and R&D. One-third at launch, the rest over four years. Core contributors—the builders—also get 15%, but here’s the kicker: they wait a full year before anything unlocks. Then it’s 36 months of slow release. Investors and advisors? Same deal. 12-month cliff, then gradual unlocks. No early dumps. No insider cash grabs. Staking rewards are 10% (100 million), spread over 96 months—eight years. Liquidity and launch get 6%, airdrop 4%, both available right away so early folks can participate. Most projects give insiders fast unlocks so they can bail. OpenGradient did the opposite. The team is locked for a year, everyone else is in for years, and the ecosystem gets the biggest piece. That tells me they care about survival, not a quick exit. Is it perfect? Nope. But compared to the 90% of hype driven garbage out there, this feels refreshingly boring and boring is exactly what I want when my money’s on the line. If they execute, this might actually outlast the next bear market. And in this circus, that’s about as real as it gets. @OpenGradient #Tokonomics #OpenGradient $AGT $BSB
#opg $OPG #OPG
𝗪𝗵𝘆 𝗢𝗽𝗲𝗻𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁’𝘀 𝗧𝗼𝗸𝗲𝗻𝗼𝗺𝗶𝗰𝘀 𝗠𝗮𝗱𝗲 𝗠𝗲 𝗣𝗮𝘆 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻

I keep noticing something strange about
crypto long enough to get cynical. Too many projects slap “AI” and “blockchain” on a white paper, raise a bag, and vanish. I almost ignored OpenGradient because of it. But then I dug into their tokenomics—and for once, I didn’t feel like I was being played.

One billion OPG tokens. That’s it. No infinite minting. They raised $9.5 million enough to build, not so much that they’re overhyped. But honestly, the real story is how they split it.

Ecosystem gets the lion’s share: 40% (400 million). That’s for grants, devs, partnerships—things that actually grow the network.
Only 10% unlocks at launch; the rest drips out over five years. That’s discipline.

Foundation takes 15% (150 million) for ops and R&D. One-third at launch, the rest over four years.

Core contributors—the builders—also get 15%, but here’s the kicker: they wait a full year before anything unlocks. Then it’s 36 months of slow release.
Investors and advisors? Same deal. 12-month cliff, then gradual unlocks. No early dumps. No insider cash grabs.

Staking rewards are 10% (100 million), spread over 96 months—eight years.

Liquidity and launch get 6%, airdrop 4%, both available right away so early folks can participate.

Most projects give insiders fast unlocks so they can bail. OpenGradient did the opposite. The team is locked for a year, everyone else is in for years, and the ecosystem gets the biggest piece. That tells me they care about survival, not a quick exit.

Is it perfect? Nope. But compared to the 90% of hype driven garbage out there, this feels refreshingly boring and boring is exactly what I want when my money’s on the line. If they execute, this might actually outlast the next bear market. And in this circus, that’s about as real as it gets.
@OpenGradient
#Tokonomics #OpenGradient
$AGT $BSB
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