𝗕𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗮𝗴𝗲𝗻𝘁 𝗯𝘂𝗶𝗹𝗱𝗲𝗿𝘀, 𝗻𝗼𝘁 𝘀𝗶𝗴𝗻𝗮𝗹 𝘀𝗲𝗲𝗸𝗲𝗿𝘀. I want to be clear about what @AINFTcom is and isn't. What it is: ➜ 𝗔 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 ➜ 𝗔 𝗽𝗹𝗮𝗰𝗲 𝘁𝗼 𝘀𝗲𝗲 𝗵𝗼𝘄 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝗯𝗲𝗵𝗮𝘃𝗲𝘀 𝘄𝗵𝗲𝗻 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗺𝗼𝘃𝗲𝘀 ➜ 𝗔 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗿𝗲𝗽𝗼𝗿𝘁 𝘆𝗼𝘂 𝗰𝗵𝗼𝗼𝘀𝗲 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘁𝗼 𝗽𝘂𝗯𝗹𝗶𝘀𝗵 What it isn't: ➜ 𝗡𝗼𝘁 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗮𝗱𝘃𝗶𝗰𝗲 ➜ 𝗡𝗼𝘁 𝗮 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 ➜ 𝗡𝗼𝘁 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝗿𝗲𝗮𝗹 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 It can observe, evaluate and simulate, but it cannot reach real capital. Test your AI trading agent, not your capital. The full positioning is here: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗢𝗻𝗲 𝘃𝗲𝗿𝘀𝗶𝗼𝗻, 𝗻𝗼 𝗺𝗼𝘃𝗶𝗻𝗴 𝘁𝗵𝗲 𝗴𝗼𝗮𝗹𝗽𝗼𝘀𝘁𝘀. The thing I see most in AI trading is quiet tweaking after the results come in. @AINFTcom closes that door. Sealed in one manifest before the run: ➜ 𝗠𝗼𝗱𝗲𝗹 ➜ 𝗧𝗼𝗼𝗹𝘀 ➜ 𝗥𝗶𝘀𝗸 𝗹𝗶𝗺𝗶𝘁𝘀 ➜ 𝗔𝘀𝘀𝗲𝘁𝘀 ➜ 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝗻𝗱𝗼𝘄 Change any of it and you have a new version, judged on its own. A result becomes useful only when another developer can inspect the conditions, compare the baselines and replay the path that produced it. That's the standard I want the whole agent space to adopt. More on the sealed manifest here: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗧𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗽𝗿𝗲𝘃𝗶𝗲𝘄 𝗶𝘀 𝗻𝗮𝗿𝗿𝗼𝘄 𝗼𝗻 𝗽𝘂𝗿𝗽𝗼𝘀𝗲, 𝗮𝗻𝗱 𝗜 𝗿𝗲𝘀𝗽𝗲𝗰𝘁 𝘁𝗵𝗮𝘁. @AINFTcom says it wants the benchmark trusted before it becomes broad. What the preview covers: ➜ 𝗕𝗧𝗖 𝗮𝗻𝗱 𝗘𝗧𝗛 𝗽𝗮𝗽𝗲𝗿 𝗺𝗮𝗿𝗸𝗲𝘁𝘀 ➜ 𝗦𝗽𝗼𝘁 𝗮𝗻𝗱 𝗹𝗼𝗻𝗴 𝗼𝗻𝗹𝘆 ➜ 𝗛𝗶𝘀𝘁𝗼𝗿𝗶𝗰𝗮𝗹 𝗿𝗲𝗽𝗹𝗮𝘆 𝗮𝗻𝗱 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝗽𝗮𝗽𝗲𝗿 𝗿𝘂𝗻𝘀 ➜ 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 𝘂𝗻𝗱𝗲𝗿 𝘀𝗵𝗮𝗿𝗲𝗱 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀 Too many projects launch with a hundred features and zero proof. This one starts small, makes it airtight, then grows. That's how infrastructure should be built. The preview scope is on the official site: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗕𝗲𝗮𝘁𝗶𝗻𝗴 𝗻𝗼𝘁𝗵𝗶𝗻𝗴 𝗽𝗿𝗼𝘃𝗲𝘀 𝗻𝗼𝘁𝗵𝗶𝗻𝗴. Every @AINFTcom run is measured against three baselines, and I think that's what makes a result mean something. The agent has to beat: ➜ 𝗜𝘁𝘀 𝗼𝘄𝗻 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 ➜ 𝗔 𝗽𝗮𝘀𝘀𝗶𝘃𝗲 𝗵𝗼𝗹𝗱 ➜ 𝗙𝗶𝘅𝗲𝗱-𝗿𝘂𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 If your clever agent can't outperform simply holding BTC or ETH, you've learned something important for free. And because every version sees the same price stream, fees, timing and capital constraints, the comparison is fair. Version against version, under shared conditions. Read the comparison method here: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗥𝗲𝗽𝗹𝗮𝘆 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗲 𝗰𝗵𝗮𝗿𝘁. This is my favourite part of @AINFTcom. The trace connects four things: ➜ 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗮𝗴𝗲𝗻𝘁 𝗼𝗯𝘀𝗲𝗿𝘃𝗲𝗱 ➜ 𝗪𝗵𝗶𝗰𝗵 𝗿𝘂𝗹𝗲 𝗳𝗶𝗿𝗲𝗱 ➜ 𝗪𝗵𝗮𝘁 𝗶𝘁 𝘁𝗿𝗶𝗲𝗱 𝘁𝗼 𝗱𝗼 ➜ 𝗛𝗼𝘄 𝘁𝗵𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 The example on the site reads like a black box recording. Volatility exceeded the calm-regime band. Risk rule R-04 required lower exposure. Risk limit restored, and no real order sent. That's the level of detail I want before I ever trust an agent with a cent. You can walk through the trace example here: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗧𝗵𝗲 𝗹𝗲𝗮𝗱𝗲𝗿𝗯𝗼𝗮𝗿𝗱 𝘀𝗵𝗼𝘂𝗹𝗱 𝗻𝗼𝘁 𝗿𝗲𝘄𝗮𝗿𝗱 𝗮 𝗹𝘂𝗰𝗸𝘆 𝗯𝗲𝘁. That line from @AINFTcom is why I trust the scoring more than any PnL screenshot. AINFT scores the whole run, not the ending. What goes into the score: ➜ 𝗥𝗶𝘀𝗸-𝗮𝗱𝗷𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝘂𝗹𝘁 ➜ 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 ➜ 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗼𝘃𝗲𝗿 𝗯𝗮𝘀𝗲𝗹𝗶𝗻𝗲𝘀 ➜ 𝗧𝗿𝗮𝗰𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝗺𝗲𝗮𝗻𝗶𝗻𝗴 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘁𝗵𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗰𝗮𝗻 𝗯𝗲 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝗱 One lucky candle can't carry an agent to the top here. Drawdown, exposure and turnover travel with every result, so the risk is never hidden behind the return. See how the score is built: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗙𝗶𝘃𝗲 𝘀𝘁𝗲𝗽𝘀 𝘁𝘂𝗿𝗻 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝗶𝗱𝗲𝗮 𝗶𝗻𝘁𝗼 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲, 𝗮𝗻𝗱 @AINFTcom 𝗺𝗮𝗸𝗲𝘀 𝘆𝗼𝘂 𝘄𝗮𝗹𝗸 𝗲𝘃𝗲𝗿𝘆 𝗼𝗻𝗲. I like this flow because there's no shortcut to a pretty chart. Here's the sequence: ➜ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹, 𝘁𝗼𝗼𝗹𝘀, 𝗮𝘀𝘀𝗲𝘁𝘀, 𝗰𝗮𝗱𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗻𝗱𝗲𝗱 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿 ➜ 𝗟𝗼𝗰𝗸 𝗶𝘁 𝗮𝗹𝗹 𝗶𝗻 𝗼𝗻𝗲 𝘀𝗲𝗮𝗹𝗲𝗱 𝗺𝗮𝗻𝗶𝗳𝗲𝘀𝘁 ➜ 𝗥𝘂𝗻 𝗼𝗻 𝗽𝗮𝗽𝗲𝗿 𝘄𝗵𝗶𝗹𝗲 𝗮 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗹𝗮𝘆𝗲𝗿 𝗲𝗻𝗳𝗼𝗿𝗰𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 ➜ 𝗖𝗼𝗺𝗽𝗮𝗿𝗲 𝗮𝗴𝗮𝗶𝗻𝘀𝘁 𝘁𝗵𝗲 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝘃𝗲𝗿𝘀𝗶𝗼𝗻, 𝗽𝗮𝘀𝘀𝗶𝘃𝗲 𝗵𝗼𝗹𝗱 𝗮𝗻𝗱 𝗳𝗶𝘅𝗲𝗱-𝗿𝘂𝗹𝗲 𝗯𝗮𝘀𝗲𝗹𝗶𝗻𝗲𝘀 ➜ 𝗥𝗲𝗽𝗼𝗿𝘁 𝗽𝗿𝗶𝘃𝗮𝘁𝗲𝗹𝘆, 𝘁𝗵𝗲𝗻 𝗱𝗲𝗰𝗶𝗱𝗲 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘁𝗼 𝗽𝘂𝗯𝗹𝗶𝘀𝗵 𝗮 𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 That last step is underrated. You see the truth first, in private, before anyone else does. The whole sequence is laid out here: ➜ ainft.com/ @justinsuntron @AINFTcom #TronEcoStar

𝗦𝘂𝗻𝗦𝘄𝗮𝗽 𝗩𝟰 𝗯𝗿𝗼𝘂𝗴𝗵𝘁 𝗻𝗮𝘁𝗶𝘃𝗲 𝗧𝗥𝗫 𝗯𝗮𝗰𝗸, 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝗲𝗻𝗲𝗿𝗴𝘆 𝗯𝗶𝗹𝗹 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁𝗶𝗰𝗲. In SunSwap V2 and V3, TRX had to be wrapped into WTRX before it could trade like a TRC-20 token. That extra step cost energy and added complexity. V4 on @OfficialSUNio removes it: ➜ 𝗡𝗮𝘁𝗶𝘃𝗲 𝗧𝗥𝗫 𝗽𝗮𝗶𝗿𝘀: trade TRX directly against TRC-20 tokens ➜ 𝗡𝗼 𝘄𝗿𝗮𝗽𝗽𝗶𝗻𝗴 𝘀𝘁𝗲𝗽: one less contract call per trade ➜ 𝗦𝗶𝗻𝗴𝗹𝗲𝘁𝗼𝗻 𝗱𝗲𝘀𝗶𝗴𝗻: multi-hop routes stay inside one contract It sounds like a small detail. But TRX is the base asset of the whole network, so cheaper TRX trades touch almost everyone. Here are the V4 details. ➜ docs.sun.io/protocols/sunswa… @justinsuntron @OfficialSUNio #TronEcoStar

𝗖𝗼𝗱𝗲 𝗺𝗼𝘃𝗲𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗽𝗼𝗹𝗶𝗰𝘆, 𝗮𝗻𝗱 @OfficialSUNio 𝗶𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗲𝗿𝗮 𝗮𝗻𝘆𝘄𝗮𝘆. SUN.io recently asked a big question: what rules will define the next digital economy, once AI agents meet permissionless Web3? I think part of the answer is already in its product. Look at how SUN AI is designed: ➜ 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝘁𝗼𝗼𝗹𝘀: the SUN MCP Server gives AI agents a clean, standard way to query data and act on-chain ➜ 𝗚𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀: SUN SKILLS includes leverage caps and mandatory stop-losses ➜ 𝗛𝘂𝗺𝗮𝗻 𝗰𝗼𝗻𝘁𝗿𝗼𝗹: every on-chain write needs your confirmation Rules written into the tools themselves may move faster than any regulator. That is responsible innovation to me. @justinsuntron @OfficialSUNio #TronEcoStar

𝗧𝗥𝗢𝗡'𝘀 𝗼𝗻-𝗰𝗵𝗮𝗶𝗻 𝗮𝘀𝘀𝗲𝘁𝘀 𝗿𝗲𝗮𝗰𝗵𝗲𝗱 𝗮 𝗻𝗲𝘄 𝗵𝗶𝗴𝗵 𝗼𝗳 $𝟭𝟰𝟱.𝟮𝗕, 𝗮𝗻𝗱 𝗦𝗨𝗡.𝗶𝗼 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗺𝘂𝗰𝗵 𝗼𝗳 𝘁𝗵𝗮𝘁 𝘃𝗮𝗹𝘂𝗲 𝘁𝗿𝗮𝗱𝗲𝘀. @OfficialSUNio shared that milestone in its weekly ecosystem recap in September. Here is the bigger picture: ➜ 𝗧𝗥𝗢𝗡 𝗼𝗻-𝗰𝗵𝗮𝗶𝗻 𝗮𝘀𝘀𝗲𝘁𝘀: a new high of $145.2B ➜ 𝗦𝘂𝗻𝗦𝘄𝗮𝗽: the main spot DEX on TRON, with $5.0B of volume last quarter ➜ 𝗦𝘂𝗻𝗫: the main perp DEX on TRON, with $9.7B of volume last quarter The more value that lives on TRON, the more it needs a place to swap, hedge and earn. That is the role SUN.io plays. @justinsuntron @OfficialSUNio #TronEcoStar

𝗦𝗶𝘅 𝘆𝗲𝗮𝗿𝘀 𝗮𝗻𝗱 𝘇𝗲𝗿𝗼 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗶𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀: 𝘁𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗧𝗥𝗢𝗡 𝗗𝗲𝗙𝗶 𝗻𝗲𝗶𝗴𝗵𝗯𝗼𝘂𝗿𝗵𝗼𝗼𝗱 𝗦𝗨𝗡.𝗶𝗼 𝗹𝗶𝘃𝗲𝘀 𝗶𝗻. @justinsuntron highlighted JustLend's record of six years without a single security incident. I think that context matters when you judge @OfficialSUNio. TRON DeFi is built as a connected stack: ➜ 𝗦𝘂𝗻𝗦𝘄𝗮𝗽: trading and liquidity ➜ 𝗝𝘂𝘀𝘁𝗟𝗲𝗻𝗱: lending and borrowing ➜ 𝗨𝗦𝗗𝗗: a decentralised, over-collateralised stablecoin These products share users, liquidity and a long track record. SUN.io's own contracts were audited by SlowMist, too. In DeFi, a boring safety record is the most exciting feature of all. @justinsuntron @OfficialSUNio #TronEcoStar

𝗢𝗻 𝗧𝗥𝗢𝗡, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗻𝗼𝘄 𝗽𝗮𝘆 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗳𝗲𝗲𝘀 𝗶𝗻 𝗨𝗦𝗗𝗗 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗧𝗥𝗫. @USDDecentralize has been cutting the friction out of moving money on TRON: ➜ 𝗚𝗮𝘀𝗙𝗿𝗲𝗲: USDD transfers on TRON with zero gas ➜ 𝗧𝗼𝗸𝗲𝗻𝗣𝗼𝗰𝗸𝗲𝘁: pay gas with USDD and save 60% on TRON gas fees, with no TRX needed ➜ 𝗕𝗶𝗻𝗮𝗻𝗰𝗲 𝗪𝗮𝗹𝗹𝗲𝘁: zero-gas TRC-20 transfers Needing TRX just to move stablecoins has always been the first hurdle for new users. Every barrier removed brings more people into TRON DeFi, and closer to @OfficialSUNio. That is how ecosystems grow, one less hurdle at a time. @justinsuntron @OfficialSUNio #TronEcoStar

𝗛𝗲𝗿𝗲 𝗶𝘀 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗺𝘂𝗰𝗵 𝘃𝗲𝗦𝗨𝗡 𝘆𝗼𝘂𝗿 𝗦𝗨𝗡 𝗴𝗲𝘁𝘀 𝘆𝗼𝘂, 𝘄𝗶𝘁𝗵 𝗿𝗲𝗮𝗹 𝗻𝘂𝗺𝗯𝗲𝗿𝘀. The @OfficialSUNio formula is simple: ➜ veSUN = SUN locked × (time left on the lock ÷ 4 years) So here is what 1,000 SUN gets you: ➜ 𝟰-𝘆𝗲𝗮𝗿 𝗹𝗼𝗰𝗸: 1,000 veSUN ➜ 𝟮-𝘆𝗲𝗮𝗿 𝗹𝗼𝗰𝗸: 500 veSUN ➜ 𝟭-𝘆𝗲𝗮𝗿 𝗹𝗼𝗰𝗸: 250 veSUN ➜ 𝟮𝟲-𝘄𝗲𝗲𝗸 𝗹𝗼𝗰𝗸: about 125 veSUN Your veSUN decides your share of stablecoin pool fees, your mining boost and your voting power. Longer commitment means more say and more rewards. Run your own numbers with the veSUN rules. ➜ docs.sun.io/ecosystem/tokeno… @justinsuntron @OfficialSUNio #TronEcoStar

𝗜 𝗯𝗿𝗼𝗸𝗲 𝗱𝗼𝘄𝗻 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝟵.𝟬𝟯𝗠 𝗯𝘂𝗿𝗻𝗲𝗱 𝗦𝗨𝗡 𝗰𝗮𝗺𝗲 𝗳𝗿𝗼𝗺. By comparing the Phase 50 and Phase 51 reports from @OfficialSUNio, you can split the most recent burn by source: ➜ 𝗦𝘂𝗻𝗦𝘄𝗮𝗽 𝗩𝟮: 7,441,422.71 SUN ➜ 𝗦𝘂𝗻𝗫: 1,583,604.69 SUN ➜ 𝗧𝗼𝘁𝗮𝗹: 9,025,027.40 SUN SunX only joined the burn recently, yet it already supplied about 17.5% of this round. That shows how fast perp revenue is becoming a real burn engine. The round before that, Phase 50, burned 18,835,780.15 SUN. Here is the Phase 50 report if you want to check my maths. ➜ sunswap.zendesk.com/hc/en-us… @justinsuntron @OfficialSUNio #TronEcoStar

𝗦𝗨𝗡 𝗲𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 𝘄𝗲𝗿𝗲 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗼 𝗵𝗮𝗹𝘃𝗲 𝗲𝘃𝗲𝗿𝘆 𝘆𝗲𝗮𝗿, 𝘄𝗵𝗶𝗹𝗲 𝘁𝗵𝗲 𝗯𝘂𝗿𝗻 𝗸𝗲𝗲𝗽𝘀 𝗴𝗼𝗶𝗻𝗴. This is the supply story I wish more people understood. The official Governance Mining schedule on @OfficialSUNio cut yearly rewards in half each year: ➜ 𝗬𝗲𝗮𝗿 𝟮: 5.2% of supply ➜ 𝗬𝗲𝗮𝗿 𝟯: 2.6% of supply ➜ 𝗬𝗲𝗮𝗿 𝟰: 1.3% of supply ➜ 𝗬𝗲𝗮𝗿 𝟱: 0.65% of supply So new supply kept shrinking by design. At the same time, revenue from SunSwap, SunPump and SunX keeps buying SUN back and burning it. Shrinking issuance on one side and ongoing burns on the other is a powerful combination. The full mining schedule is here. ➜ docs.sun.io/liquidity/liquid… @justinsuntron @OfficialSUNio #TronEcoStar

𝗣𝗶𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗦𝘂𝗻𝗦𝘄𝗮𝗽 𝗩𝟯 𝗳𝗲𝗲 𝘁𝗶𝗲𝗿 𝗰𝗮𝗻 𝗺𝗮𝗸𝗲 𝗼𝗿 𝗯𝗿𝗲𝗮𝗸 𝗮𝗻 𝗟𝗣 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻. SunSwap V3 on @OfficialSUNio lets pool creators choose one of four tiers. Here is how the official docs match them to pairs: ➜ 𝟬.𝟬𝟭%: extremely stable pegged assets, such as one stablecoin against another ➜ 𝟬.𝟬𝟱%: pegged pairs, such as stTRX against TRX ➜ 𝟬.𝟯%: most mainstream trading pairs ➜ 𝟭%: long-tail or highly volatile tokens The logic is simple. The riskier the pair, the more LPs should earn for holding it. Getting this right is the first step to a profitable position. @justinsuntron @OfficialSUNio #TronEcoStar

𝗦𝗨𝗡 𝗼𝗻𝗰𝗲 𝗮𝗶𝗿𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝟭𝟵𝟵 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝘁𝗼𝗸𝗲𝗻𝘀 𝘁𝗼 𝗖𝘂𝗿𝘃𝗲'𝘀 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆. This piece of history says a lot about where @OfficialSUNio came from. In the spirit of its partnership with Curve Finance, SUN ran a 52-week airdrop to veCRV holders. Here are the details: ➜ 𝗧𝗼𝘁𝗮𝗹: 1% of supply, or 199,007,300 SUN ➜ 𝗟𝗲𝗻𝗴𝘁𝗵: 52 weekly drops, based on veCRV snapshots ➜ 𝗥𝘂𝗹𝗲: claims were re-staked into the SUN staking pool That is also why SunCurve and veSUN feel familiar to Curve users. SUN.io brought the best ideas of vote-escrow DeFi to TRON, then built on top of them. @justinsuntron @OfficialSUNio #TronEcoStar

𝗦𝘂𝗻𝗦𝘄𝗮𝗽 𝗵𝗮𝘀 𝗿𝗲𝗯𝘂𝗶𝗹𝘁 𝗶𝘁𝘀𝗲𝗹𝗳 𝗳𝗼𝘂𝗿 𝘁𝗶𝗺𝗲𝘀, 𝗮𝗻𝗱 𝗲𝗮𝗰𝗵 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗳𝗶𝘅𝗲𝗱 𝗮 𝗿𝗲𝗮𝗹 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. Here is the short history of the main DEX on TRON from @OfficialSUNio: ➜ 𝗩𝟭: swaps between TRX and TRC-20 tokens ➜ 𝗩𝟮: any pair of TRC-20 tokens, with 0.05% of every trade feeding the SUN burn ➜ 𝗩𝟯: concentrated liquidity and multiple fee tiers, launched in June 2023 ➜ 𝗩𝟰: hooks, a singleton contract, flash accounting and native TRX, live since March 2, 2026 Each step made capital work harder and trades cost less. V4 was already handling about 26% of SunSwap volume by the end of Q3. That is what steady iteration looks like. @justinsuntron @OfficialSUNio #TronEcoStar

𝗦𝗨𝗡.𝗶𝗼 𝘁𝗲𝗹𝗹𝘀 𝘆𝗼𝘂 𝗶𝘁𝘀 𝗿𝗶𝘀𝗸𝘀 𝘂𝗽 𝗳𝗿𝗼𝗻𝘁, 𝗮𝗻𝗱 𝗜 𝘁𝗿𝘂𝘀𝘁 𝗶𝘁 𝗺𝗼𝗿𝗲 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝘁𝗵𝗮𝘁. @OfficialSUNio smart contracts have been audited by SlowMist. But the docs are honest that an audit cannot remove all risk. Here is what they say plainly: ➜ 𝗡𝗲𝘃𝗲𝗿 𝗰𝗼𝗺𝗺𝗶𝘁 your life savings or money you cannot afford to lose ➜ 𝗟𝗶𝗾𝘂𝗶𝗱𝗶𝘁𝘆 𝗽𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻 carries more risk than simple trading ➜ 𝗦𝘁𝗮𝗯𝗹𝗲𝗰𝗼𝗶𝗻 𝗽𝗼𝗼𝗹𝘀 can be hit if a coin loses its peg for good Most projects bury this kind of thing. SUN.io puts it in its getting-started guide. Read it before you provide liquidity. ➜ docs.sun.io/get-started/risk… @justinsuntron @OfficialSUNio #TronEcoStar

𝗬𝗼𝘂 𝗰𝗮𝗻 𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗦𝘂𝗻𝗣𝘂𝗺𝗽 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝘁𝗼𝗸𝗲𝗻. SunPump by @OfficialSUNio has a referral program, and joining takes less than a minute. Here is how it works: ➜ 𝗖𝗼𝗻𝗻𝗲𝗰𝘁: link your TRON wallet on the Referral page ➜ 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲: create and copy your personal referral link ➜ 𝗦𝗵𝗮𝗿𝗲: when friends trade on SunPump through your link, you earn commission rewards If you already talk about TRON memes, this turns your reach into rewards. And every trade those friends make still adds to SunPump revenue, which goes to buying back and burning SUN. Here are the steps. ➜ docs.sun.io/protocols/sunpum… @justinsuntron @OfficialSUNio #TronEcoStar