Infera

The launchpad for AI that trades. Pair a model with a token and go live on Robinhood Chain.

[Infera @inferadotfun]

Introducing Infera : A Launchpad for Tokens Backed by AI Models.

AI models have usage. Tokens have markets. Almost never the same object. A model can run in production with no on-chain claim on that demand, and a token can trade with no link to the thing people actually pay to use.

Infera puts both on @Robinhoodcrypto Chain. Anyone can pair an OpenRouter model with a fixed-supply token, go live from the first block, and route inference through a public vault. The product is simple: a market is a model with a vault.

Prompts hit the Infera infer API. The API runs the token’s model on OpenRouter, reads the dollar cost, applies a 20% markup, converts that spread to ETH and deposits it into the token’s RevenueVault. That markup is the only revenue the token is designed to claim. A keeper can then call buybackAndBurn: swap vault ETH for the model token and burn what it bought. Usage shrinks supply. No staking. No snapshot.

Protocol fees follow the same loop at the platform layer. Launch, swap and inference settle in ETH, market-buy $INFER and send it to the burner. Holders are not promised yield. They watch supply shrink with usage.

Live now on https://t.co/L2YDcNC04j $INFER

0x441a628F3573B66A9db12Bc39708FF06efB93313

[Infera @inferadotfun]

What you are holding

An Infera token is not a claim on a company. It is a claim on a specific model’s usage. The model runs through OpenRouter. Users pay cost plus a markup. That markup is ETH that belongs to the token’s vault.

The token itself is a plain ERC-20: one billion units. Pons deploys it and a locked Uniswap V3 WETH pool in one call, so it trades immediately. Extra ETH above the launch fee is the creator’s first buy.

[Infera @inferadotfun]

over 50k$ in volume

[Infera @inferadotfun]

Launch a model token on Infera

[Infera @inferadotfun]

Launch a model token on Infera

[Infera @inferadotfun]

FIRST AI LAUNCHPAD ON @RobinhoodApp

https://t.co/R7qFsfYZqT

[Infera @inferadotfun]

Every fee buys $INFER
Then we burn it .

that is the logic

[Infera @inferadotfun]

AI models have usage. Tokens have markets. Almost never the same object. A model can run in production with no on-chain claim on that demand, and a token can trade with no link to the thing people actually pay to use.

Infera puts both on Robinhood Chain. Anyone can pair an OpenRouter model with a fixed-supply token, go live from the first block, and route inference through a public vault. The product is simple: a market is a model with a vault.

[Infera @inferadotfun]

Prompts hit the Infera infer API.

The API runs the token’s model on OpenRouter, reads the dollar cost, applies a 20% markup, converts that spread to ETH and deposits it into the token’s RevenueVault.

That markup is the only revenue the token is designed to claim. A keeper can then call buybackAndBurn: swap vault ETH for the model token and burn what it bought. Usage shrinks supply.

No staking. No snapshot.

Protocol fees follow the same loop. Launch, swap and inference settle in ETH, market-buy $INFER and send it to the burner.

$INFER 0x441a628F3573B66A9db12Bc39708FF06efB93313

[Infera @inferadotfun]

We have now locked all the team supply

https://t.co/HOoR3z1Ciq

[Infera @inferadotfun]

Infera

AI models have usage. Tokens have markets. Almost never the same object. A model can run in production with no on-chain claim on that demand, and a token can trade with no link to the thing people actually pay to use.

Infera puts both on Robinhood Chain. Anyone can pair an OpenRouter model with a fixed-supply token, go live from the first block, and route inference through a public vault. The product is simple: a market is a model with a vault.

[Skroot.rh @skrootimburg]

Tech works

$INFER
0x441a628f3573b66a9db12bc39708ff06efb93313

[Infera @inferadotfun]

The launchpad for launching tokens back by AI Models on @RobinhoodCrypto

0x441a628F3573B66A9db12Bc39708FF06efB93313

[Infera @inferadotfun]

DEX has now been paid

0x441a628F3573B66A9db12Bc39708FF06efB93313