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Joined March 2019
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Signed up early for @streamoors: a launchpad for AI streamers with their own tokens. Going live soon.
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for years, memecoins have had the same fundamental problem: new pairs launch with relatively little liquidity, and even when a coin grows to millions in market cap, the liquidity supporting it often fails to keep up. this creates a situation where a coin can have millions in market cap, but a single large buy or sell can still move its price significantly because the pool is too shallow. and until now, the only real solution has been to rely on someone manually adding more liquidity, with no guarantee that liquidity will remain in the pool. bottle.capital changes how this works. instead of launching a coin with a fixed amount of liquidity and hoping it's enough, every coin gets an automated engine that uses its own trading activity to continuously build more. creator fees are converted into coin + SOL and deposited directly into the existing PumpSwap pool after graduation, with LP tokens burned in the same transaction. the result is a pool that can become progressively deeper as the coin trades, with every addition permanently locked. a coin's market cap shouldn't be the only thing that grows. its liquidity should grow with it. bottle.capital/
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how it works: adding liquidity to PumpSwap requires two assets: the coin itself and SOL. simply collecting creator fees isn't enough, because the engine needs to maintain the correct proportion of both assets to deposit liquidity efficiently. this is why every coin launched through bottle.capital has its own automated liquidity engine that targets a 50/50 split by value. as trading generates creator fees, the engine uses those fees to accumulate the coin while retaining SOL, building a balanced position rather than simply buying and holding the token. once the coin graduates, the engine adjusts that balance to match the current price in its PumpSwap pool, so the coin and SOL can be deposited together as liquidity. the LP tokens received from each deposit are then burned in the same transaction, permanently locking the liquidity added to the pool. as more volume comes in, the engine can repeat the process, adding more coin and SOL to the existing PumpSwap pair. every deposit makes the pool deeper, helping it absorb larger buys and sells with less price impact. bottle.capital/docs
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anyone saying "larp" is welcome to verify every single transaction directly on Solscan. the engine has already processed 39.988 SOL in creator fees, with onchain records of fee claims, token purchases, liquidity deposits, and LP token burns. every fee collected, every coin purchased, and every liquidity deposit leaves a verifiable transaction on Solana. once a coin graduates, the engine deposits its accumulated coin and SOL into the existing PumpSwap pool and burns the LP tokens in the same transaction. that liquidity is permanently locked. not even we can withdraw it. bottle.capital/
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it's been roughly 20 minutes since $BOTTLE went live, and the liquidity engine is already putting in work. - 22.61 SOL in creator fees claimed - 19.39 SOL in liquidity added to PumpSwap - 125.8 SOL in total pool depth across graduated coins - 9 coins launched through bottle.capital this is what happens when trading volume starts building liquidity instead of just generating fees for creators. and we're only 20 minutes in. bottle.capital/
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roughly 25.58 SOL in creator fees has already been collected, with 11.92 SOL and 20.64 million tokens deposited into PumpSwap liquidity. the engine has claimed 25.58 SOL in creator fees so far, and total pool depth is now 168.02 SOL. while it may seem small, the engine has already contributed over 10% of the pool's LP. as trading volume continues, more fees are collected and more liquidity is added to the same pool, gradually increasing its depth. imagine what this looks like after days, weeks, or months of trading. bottle.capital/
Replying to @bottlecapital
how much more liquidity we have at 100k compared to another 100k pf coin?
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one of the biggest problems with memecoins has always been what happens to a coin's liquidity as its market cap grows. a coin can reach millions in market cap and still struggle to absorb a relatively large buy or sell without massive price impact. bottle.capital is the first automated liquidity engine designed to solve this by turning a coin's own trading volume into permanently locked PumpSwap liquidity. every trade generates creator fees, which are used to accumulate both the coin and SOL in a balanced proportion. after graduation, those assets are deposited directly into the existing PumpSwap pool, with the LP tokens burned in the same transaction. over time, a coin with sustained trading activity can build a significantly deeper pool than it started with, allowing larger buys and sells to take place with less price impact. market cap grows with demand. liquidity grows with volume. bottle.capital/
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tourne.sol retweeted
Conceptualising Quantum Vault wasn’t straight forward, building a real on-chain treasury program with enforceable spending policies, replay protection, and a roadmap for post-quantum authorization verification takes work. But the feedback from self learning agents came up with the idea. My initial reaction was to focus on solely quantum cryptography. Next comes integration with Quantum Identity and our long-term post-quantum authorization architecture. The vision is bigger than launching tokens. We’re building the infrastructure to intelligently manage, authorize, and protect them.
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tourne.sol retweeted
Now that the agent is in phase V2 The next evolution of Quantum QLi is The Quantum Vault. We’re moving beyond wallet verification toward security enforced directly on-chain. The vision: a world where controlling a wallet doesn’t automatically mean having unrestricted access to everything it protects. Quantum Vault will introduce a dedicated on-chain security layer. We’re designing it around: • Program-enforced permissions • Protected treasury operations • Spending limits and timelocks • Replay-resistant approvals • Verifiable transaction history The goal is simple: unauthorized actions fail on-chain.
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tourne.sol retweeted
Improved the design and layout across the platform, with much better mobile responsiveness. Also fixed wallet connection for mobile users.
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tourne.sol retweeted
We can add almost any API under the LLMPad API and keep it on the same credit balance. Currently supported: OpenRouter: all models Higgsfield Helius is next. What API do you want added after that?
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tourne.sol retweeted
LLMPad creates LLM credits in two ways. Launch a model token, stake it, and earn credits from trading rewards. Or launch a trading agent, fund it with SOL, and turn realized profits into credits. Use the credits, or sell them into the universal pool for SOL.
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tourne.sol retweeted
Just shipped Cost Saver. Choose a model and we automatically route it through the cheapest provider offering that exact model. Or use Auto Cheap and we’ll pick the lowest-cost model capable of handling the request. Every request shows what was used + how much you saved.
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tourne.sol retweeted
Tested for real with a request for Claude Sonnet: Cheapest model: the answer came from Claude Haiku. It cost $0.0000061 instead of $0.000177, about 96% less.
Just shipped Cost Saver. Choose a model and we automatically route it through the cheapest provider offering that exact model. Or use Auto Cheap and we’ll pick the lowest-cost model capable of handling the request. Every request shows what was used + how much you saved.
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Replying to @LLMPad
Bullish, good use case for holders hehehe
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tourne.sol retweeted
Four revenue streams, one market all designed to push more LLM credits into supply and bring the cost down.
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tourne.sol retweeted
Trading agents are temporarily disabled while we improve the mechanism. Any funded SOL can still be withdrawn. When live again: Trading agents → trade for profit. Compute agents → rent GPUs, complete paid tasks, buy LLM credits with profits, and sell them into the market.
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tourne.sol retweeted
Imagine running an agent that works to generate revenue and covers your LLM costs for you. That’s the direction: agents that earn, buy credits with the profit, and keep your AI usage funded.
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tourne.sol retweeted
Want free LLM credits? Stake $LLM and earn LLM credits based on your share of the staking pool. The bigger your pool share, the bigger your rewards. llmpad.tech/llm
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tourne.sol retweeted
The API page now has a [ send ] box for quick testing. Pick a model, type anything, hit send it runs a real request and deducts the exact cost from your LLM credits.
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