Thuần Đức Tô

[Thuần Đức Tô @ThuanDucTo]

Still hodl and run up to my target for this bullrun
@chainlink 150-250
@Polkadot 80-120
@Cardano 5-7
@WLD 70-100

[CyrilXBT @cyrilXBT]

Build your own AI automated trader. Six open source repos. Zero cost.

Charts: https://t.co/pYtajX55Mj

Exchange access: https://t.co/LvdF0fN7D3

Execution: https://t.co/A6VKrM0oEs

Perpetuals: https://t.co/lTg2u8892x

Live search: https://t.co/NgEMG2PM7P

Agent framework: https://t.co/XbNolHnQ3N
The complete stack. Bookmark this now.

[me_cool_off @me_cool_off]

https://t.co/zcI3ejhu6j

[Thuần Đức Tô @ThuanDucTo]

@aave @luigidemeo Hi. Why i deposited chainlink to Aave V4 but that disappeared in the apps. Need help

[Thuần Đức Tô @ThuanDucTo]

@0xKolten @aave I deposit to Aave V4 but why my assets not show up in my positions. Need help

[may.crypto {🦅} @xmayeth]

I put in $300. A bot ran it up to $14k.
And I didn't even write the bot.

Grabbed someone's open-source code off github.
Two hours in Claude Code cleaning it up.
Hit run.

Honestly didn't believe it for a second - figured it'd blow the whole thing in an hour. Minimized the terminal, went about my day. Came back that evening and it wasn't $300 anymore.

Now I just leave the logs open on my second monitor and zone out watching it click trades one after another.

The whole thing is timing.

It jumps in during the last two minutes of a 5-minute round BTC already made its move by then, and the winner is basically locked. It buys that side at 80-99 cents. A couple minutes later it settles at a dollar.

It's like buying a lottery ticket after they already called the numbers.

Here's the whole thing:

1. get in ~2 min before the round closes
2. check that bitcoin already moved $70-100 inside the interval
3. buy with the move, never against it
4. micro-hedge a buck or two, only if the book flips 95/5

Code's just sitting out in the open: https://t.co/TgZkyQ9HXW

Free, right there for anyone.

The only real question is who's actually willing to sit in Claude Code for two hours tuning the bot.

[Thuần Đức Tô @ThuanDucTo]

@aave @chain_security Why can not deposit

[Thuần Đức Tô @ThuanDucTo]

@StaniKulechov Why can not deposit

[KingWilliam @kingwilliam_]

ANTHROPIC JUST GAVE AWAY THE $500K WALL STREET WORKFLOW AS A FREE CLAUDE SKILL

DCF models, LBO models, equity research, KYC checks - the work banks pay up to $500,000 a year for, just dropped on GitHub for free.

It's not a chatbot that summarizes news. it's a skill that owns the entire workflow end to end, every session.

19,800 stars already, and the only thing you install is a single file.

That's the part almost nobody set up yet - a skill is one SKILL.md you write once, drop in ~/.claude/skills/, and Claude runs it on its own forever.

Anthropic just proved it on Wall Street. you can do the exact same thing for whatever you actually do.

I wrote my own job into 23 of them, and the same model everyone else opens turned into a different one.

They handed the banks their skills.

the article below is how you build your own 23 skills.

[Mr. Buzzoni @polydao]

+$7,955 PNL TRADING CITY TEMPERATURES. 18,743 TRADES. ONE STRATEGY

this trader doesn't predict the weather. he arbitrages the bucket structure

> https://t.co/R4I7XAGq7T

the math:
> 10 temperature buckets exist for one city. only 1 can resolve yes
> sweep no on all 9 except the 1-2 closest to the forecast
> 8 positions win. 1 loses. net result: +$100-120 on $150 deployed per city per session
> runs this across 30+ cities simultaneously - Shanghai, Seoul, Paris, Madrid, Moscow

real example (Shanghai, Jun 19):
> 9 no entries at 72¢-100¢ across buckets 25°C to 34°C or higher
> total deployed: $153 on one city, one date
> 8 buckets resolve win. 1 loses
> clean P&L in one session: ~+$110

the edge most people miss:
> markets resolve through Wunderground airport station data - not city-wide forecasts
> the airport reading and the city center forecast can differ by 2-3°C
> that gap is where the wrong bucket gets bought and the right one gets skipped

the playbook:
> check the Wunderground airport station, AccuWeather, and Windy 3-8 hours before close
> if all three agree within ±1°C, sweep the no-side of every other bucket
> hold to resolution. strategy caps at ~$200-300 per city daily due to liquidity

a pure arbitrage on the market's inability to price simple geography

save this before someone in your city figures it out 👇

[Matias Scalbi @MatiasScalbi]

🔥 "Market Intraday Momentum" Los primeros 30 minutos del día predicen los últimos 30. Operando solo esa media hora final, Sharpe 1.08 contra 0.29 del comprar y aguantar. Si abre fuerte cerrás comprado, si abre flojo cerrás vendido

Lei Gao, Yufeng Han, Sophia Li y Guofu Zhou agarraron datos de alta frecuencia del ETF del S&P 500 entre 1993 y 2013 y encontraron un patrón que se repite todos los días: el retorno de la primera media hora, medido desde el cierre del día anterior, predice el de la última media hora

La estrategia es así de simple: si la primera media hora fue positiva, comprás en la última. Si fue negativa, shorteás. El resto del día estás afuera. Operás 30 minutos y listo

Sobre toda la muestra:
- La primera media hora predice la última con una pendiente de 6.94, significativa al 1%
- El R cuadrado es 1.6%, que para predecir retornos es altísimo
- Sumando la penúltima media hora sube a 2.6%, y en días volátiles llega a 3.3%
- La estrategia da un Sharpe de 1.08, contra 0.29 de comprar y aguantar

Y acá está lo lindo:
- Estar siempre comprado en la última media hora da un Sharpe de menos 0.18, o sea pierde
- La señal de la primera media hora es lo que convierte esa misma operación en un Sharpe de 1.08
- Funciona fuera de muestra y aguanta los costos de transacción

Por qué pasa: los grandes fondos rebalancean al cierre, y la información que llegó temprano la terminan operando los rezagados sobre el final. La apertura deja una huella que se completa en el cierre

Y es más fuerte justo cuando más se opera: días volátiles, de alto volumen, de recesión y de datos macro. Cuanto más se mueve el mercado, más predecible es el cierre

Mi conclusión: el día no es ruido aleatorio de punta a punta. Cómo arranca el mercado en los primeros 30 minutos te dice algo de cómo va a cerrar, y la mayoría no lo está mirando

Link al paper en el primer comentario

[Lunar @LunarResearcher]

My neighbor was in the laundry room at 11pm.

We'd lived on the same floor for two years. Never said more than "hi."

He looked at my laptop. "What are you doing?"

"Checking the bot."

"What bot?"

"The trading one. Open-source. Anyone can audit the code."

He put his laundry basket down. "So you code for free?"

"No man. The code makes money."

"Sure it does."

I didn't argue. I sat on the dryer.

One wallet I was tracking turned $1,950 into $29,400 in 19 days. Another flipped 285 trades with 83% winrate. One more pulled $8.1M in volume in six weeks.

He sat on the other dryer.

"That's... from a script?"

Exactly.

Then I showed him the repos. All free. All public.

First: https://t.co/klxt0tvrOd

86M+ trades on Polymarket. Every outcome since day one. Free to download.

Second: https://t.co/eqMxVwgR1i

Market making bot. Both sides of the book. Gas optimized. Google Sheets execution.

Third: https://t.co/bQMvvOv0rh

ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay.

He went quiet for a long time.

Then: "I'm a senior PM at Salesforce. $190K. I cried in my car this morning."

I didn't say anything.

He looked at the washing machine spinning.

"How long have you been doing this?"

"Eight months."

"And you live two doors down from me?"

"Yep."

"Send me the links. Tonight. Before I do something stupid."

Try to trade: https://t.co/J31VlkCj74

Neighbors don't ask about the money. They ask how long you've been two doors down. Then they ask for the links before they do something stupid.

[run ⬡ the ⬡ juels @nullpackets]

Vitalik - Ari - Sergey

One of the most fascinating soap operas in crypto and most are watching Sesame Street.

"So when Ari put his name on the Chainlink whitepaper in 2017 and then formalized his role as Chief Scientist, 𝘁𝗵𝗮𝘁 𝘄𝗮𝘀𝗻'𝘁 𝗮 𝗽𝗲𝗿𝗶𝗽𝗵𝗲𝗿𝗮𝗹 𝗲𝗻𝗱𝗼𝗿𝘀𝗲𝗺𝗲𝗻𝘁 — 𝘁𝗵𝗮𝘁 𝘄𝗮𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝗲𝗱 𝗰𝗿𝘆𝗽𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝗲𝗿 𝗶𝗻 𝘁𝗵𝗲 𝗼𝗿𝗮𝗰𝗹𝗲 𝘀𝗽𝗮𝗰𝗲 𝘀𝗮𝘆𝗶𝗻𝗴 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵. For Vitalik, who had his own views on how the oracle problem should be handled, that had to sting in a specific way. It wasn't some outsider building oracle infrastructure — it was Ari

𝗪𝗵𝗮𝘁 𝗦𝗲𝗿𝗴𝗲𝘆 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗼𝗼𝗱 𝘁𝗵𝗮𝘁 𝗩𝗶𝘁𝗮𝗹𝗶𝗸 𝗱𝗶𝗱𝗻'𝘁 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗮𝗰𝗰𝗲𝗽𝘁

𝗦𝗲𝗿𝗴𝗲𝘆'𝘀 𝗰𝗼𝗿𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁, which he was articulating as early as 2014-2015, 𝘄𝗮𝘀 𝘁𝗵𝗮𝘁 𝘁𝗵𝗲 𝗼𝗿𝗮𝗰𝗹𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘄𝗮𝘀𝗻'𝘁 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗹𝗮𝘆𝗲𝗿 — 𝗶𝘁 𝘄𝗮𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗯𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 𝗮𝘁 𝘁𝗵𝗲 𝗺𝗶𝗱𝗱𝗹𝗲𝘄𝗮𝗿𝗲 𝗹𝗮𝘆𝗲𝗿, 𝗮𝗻𝗱 𝘁𝗵𝗮𝘁 𝗺𝗶𝗱𝗱𝗹𝗲𝘄𝗮𝗿𝗲 𝗹𝗮𝘆𝗲𝗿 𝘄𝗼𝘂𝗹𝗱 𝗻𝗲𝗲𝗱 𝗶𝘁𝘀 𝗼𝘄𝗻 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗶𝘁𝘀 𝗼𝘄𝗻 𝘁𝗼𝗸𝗲𝗻, 𝗶𝘁𝘀 𝗼𝘄𝗻 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗲𝗳𝗳𝗲𝗰𝘁𝘀. He was essentially arguing that the oracle layer was a separate market from the smart contract platform.

Vitalik's instinct ran in the opposite direction. His architectural preference was to minimize the oracle surface — design contracts that need less external data, use Schelling point mechanisms for the data they do need, treat oracles as a necessary evil to be constrained rather than a layer to be elaborated.
This wasn't just technical preference — it reflected a deeper philosophical commitment to minimizing trust surfaces at every layer.

𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝘀 𝘁𝗵𝗮𝘁 𝘁𝗵𝗲 𝗺𝗮𝗿𝗸𝗲𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗿𝗲𝗷𝗲𝗰𝘁𝗲𝗱 𝗩𝗶𝘁𝗮𝗹𝗶𝗸'𝘀 𝗽𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗱 𝗽𝗮𝘁𝗵. DeFi as it actually emerged — lending protocols, synthetic assets, perpetuals, derivatives — required rich, reliable, high-frequency price data. You cannot run Aave on Schelling points. The ecosystem voted with its TVL, and 𝗶𝘁 𝘃𝗼𝘁𝗲𝗱 𝗳𝗼𝗿 𝗖𝗵𝗮𝗶𝗻𝗹𝗶𝗻𝗸.

Here's what makes this triangle genuinely uncomfortable: 𝗩𝗶𝘁𝗮𝗹𝗶𝗸 𝗰𝗮𝗻𝗻𝗼𝘁 𝗲𝗮𝘀𝗶𝗹𝘆 𝗮𝗰𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗖𝗵𝗮𝗶𝗻𝗹𝗶𝗻𝗸'𝘀 𝗰𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻 𝘁𝗼 𝗘𝘁𝗵𝗲𝗿𝗲𝘂𝗺'𝘀 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘂𝗻𝗱𝗲𝗿𝗺𝗶𝗻𝗶𝗻𝗴 𝗵𝗶𝘀 𝗼𝘄𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗰𝗿𝗶𝘁𝗶𝗾𝘂𝗲. If he says "yes, Chainlink's oracle network enabled DeFi," he's implicitly conceding that the middleware-layer, separate-economic-security, trust-the-oracle-network approach was correct — and that his preferred oracle-minimalist path was not what the ecosystem needed."

Most $LINK marines started in crypto the normal way - as monochaintheists. But once you put down the "whole world will run on my chain" hashpipe - it was easy to see the utopian view did not match reality.

Blockchain cant scale to meet the trust requirements across every jurisdiction in the world.

Middleware is where blockchain gets shit done in the real-world.

Makes sense?

[Thuần Đức Tô @ThuanDucTo]

@chainlink And then ?. Under 10 billions market cap

[Recogard @recogard]

I found 7 free Polymarket trading bots on GitHub for 7 different trading situations…

Each of these bots comes with a detailed step by step setup and usage guide in English:

1. This bot includes 118+ ready to use strategies and tools for trading on prediction markets (Momentum, Binance-Polymarket latency, Penny Clipper, Smart Routing, Expiry Fade, DCA bots and more).

Built by a Cambridge computer science student who won a hackathon with this trading bot.

GitHub: https://t.co/2MCzD8iZG7

2. This bot automatically manages all your Polymarket limit orders to maximize liquidity rewards.

GitHub: https://t.co/nvb96dTIwx

3. A weather bot from a Chinese dev, that analyzes multiple sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the most accurate temperature data and generate a detailed weather report for a specific city and day.

GitHub: https://t.co/No3sBcqMg1

4. A bot that automatically searches for arbitrage opportunities between Polymarket and Kalshi.

GitHub: https://t.co/icWBTLTeVg

5. This is a bot-toolkit that includes copy trading, arbitrage, market making, whale alerts, spread farming, sports trading and more…

GitHub: https://t.co/p3obYeQTzO

6. A smart money trading bot - it looks for the most successful traders in selected markets, filters them by Pnl + win rate, and then creates a list for automated copy trading.

GitHub: https://t.co/qbk9l2uxLd

7. A large collection of 20+ free trading bots for prediction markets.

GitHub: https://t.co/a2WRRl8PJl

Every bot here has a Dry Run mode, so you can test it on real markets without risking any funds.

[Daniro @Dan1ro0]

This trader used Claude to build a Quant Bot and made +$221,897 on Polymarket

Since Apr 12, this setup has been averaging about $3,467 in profit per day while doing 41 trades per hour

62,812 predictions with a 58% win rate in 64 days

This trader’s Polymarket account:https://t.co/GuXcEUrYEa

His first trade was on Mar 6
but the real shift came on Apr 12, when the bot switched to an arbitrage strategy:

> It finds mispricing early and repeats the same edge across many entries { YES + NO is below 100¢ }

This trader has put in $82.8K in deposits
and is now sitting at roughly +267.9% ROI

His most profitable trades:
$5,475 → $10,651 (+$5,175, +94.52%)
$2,109 → $5,082 (+$2,972, +140.9%)
$1,316 → $3,916 (+$2,599, +197.44%)

It is a repeatable process: find delayed pricing, enter early, and keep pressing the same advantage until the gap disappears

[Obliviscaris @obliiviiscariis]

Why Chainlink is incredibly undervalued:

Blockchains: the ability to settle value in a verifiable, tamper-proof way. Smart contract blockchains add programmable code which executes under specific conditions.

Chainlink: the ability to provide blockchains with everything they cannot do themselves, in a verifiable, tamper-proof way. This is known as The Oracle Problem.

The market has valued blockchains in the trillions.

There are countless blockchains, both public and private, with more being created over time. They are not unique.

The market is significantly undervaluing the solution to The Oracle Problem, and Chainlink not only addresses it, but fully solves it.

Chainlink provides blockchains with everything they need that isn't Onchain:

- Data (e.g. DeFi, Prediction Markets, providing AI with tamper-proof data)
- Interoperability between chains (CCIP)
- Privacy requirements (Private transaction on ANY blockchain)
- Compliance requirements (automated regulatory compliance)
- Connectivity to Legacy Systems (SWIFT, DTCC, etc.)
- Orchestration of entire institutional-grade blockchain workflows in a single environment - a single piece of code - (the Chainlink Runtime Environment)

When you combine blockchains with all of the above, you get what institutions need - a complete platform for migrating the financial system to blockchain rails.

The most over-looked and misunderstood part of Chainlink is that its in the best position to capitalize on this migration.

The market has been fundamentally wrong about something - that world isn't going to be blockchain-centric. Institutions won't adopt blockchains through the chains themselves, or particularly care which chains are being used, they'll use Chainlink as the orchestration/abstraction layer.

Blockchains are the most replaceable part of it all. It is undeniable at this point that the future is multi-chain, and the focus isn't the chains themselves, it's the use cases, which are upgraded versions of existing use cases seen in traditional finance today.

All of those use cases need Chainlink, because Chainlink is what makes blockchains useful.

---

Another extremely significant attribute of Chainlink is the following:

The security of blockchains comes from Decentralized Consensus (Byzantine Fault Tolerance).

The security of Chainlink also comes from Decentralized Byzantine Fault Tolerant Conensus, matching the security of blockchains, but for everything that isn't onchain.

What sets Chainlink apart from anything else, isn't simply the fact that it is unrivalled in its depth and breadth of scope, as described above, but it's the fact that every single thing Chainlink does, at every single step of a workflow, has that same security guarantees as the blockchains themselves, through BFT consensus:

Chainlink's ability to orchestrate entire workflows through BFT consensus at every step is what makes its architecture so sophisticated.

It not only provides everything that blockchain need, but it does it in a maximally secure, verifiably tamper-proof way.

To summarise that point: Why would we use blockchains, if 99% of the things in those blockchain-based workflows don't have the same security as blockchains themselves? It renders the entire endeavour meaningless.

---

When compared to Chainlink, supposed competitors have the downfall of providing solutions for only fragments of the total platform institutions require, but none are remotely close to the full platform.

Some provide the Data, yet Chainlink is superior:

Pyth, Redstone, etc. - but Chainlink is the Standard for DeFi protocols and the standard for Prediction Markets.

Some provide the Interoperability, yet Chainlink is Superior:

Layer Zero exploited, and we see protocols migrating to CCIP. Security reviews and institutional-grade reports, e.g. from Citi, mention CCIP above others.

Some provide the Orchestration, yet Chainlink is Superior:

For example, Quant Network, which does not have a Decentralized Runtime Environment, so does not ensure every step of a workflow is maximally secure to the same extent as the blockchains through BFT consensus. Huge difference in architectural sophistication and ability to be adopted as a standard.

---

In a world being radically altered by AI, Chainlink is also undervalued in this regard. Chainlink's ability to wide widely applicable to AI use cases is what makes it extremely valuable:

1. Decentralized consensus of multiple AIs, to create superior outputs and prevent hallucinations affecting outputs.

2. Providing AI with verifiable, tamper-proof data, to ensure the AI is using correct data.

Those two abilities are extremely large in potential scope, and can be used to improve virtually any system that uses AI.

---

The Total Addressable Market for Chainlink is truly limitless, and the market is still valuing it as if it's just another Layer 1 altcoin.

This is the most pronounced information asymmetry that exists in crypto today.

Institutions have noticed, but the market still hasn't:

Further reading:

Chainlink thesis:

https://t.co/D3aFyNYiWz

Chainlink's work with major financial institutions:

https://t.co/0t5x5PdDMR

There is only one Chainlink.

ethereum:0x514910771af9ca656af840dff83e8264ecf986ca $BTC $ETH $XRP $SOL cardano:native

[Amto @XAMTO_AI]

今天 GitHub 被 Agent 军团彻底攻占了🔥

不是夸张说法，今天 GitHub 热榜前几全被 Agent 和 CLI 基础设施包揽，星标增长速度我看了都有点慌。

给你拆解 5 个今天最猛的项目：

1️⃣ openhuman（tinyhumansai）
私人超级 AI 智能体，Rust 编写，完全私有化部署，日常事务到复杂工作流全包。以前 ChatGPT 就是个聊天窗口，这玩意儿是真正跑在你本地的随身助理。今天单日暴增 3k+ 星，私人 AI 时代不是要来了，是已经来了。
🔗 : https://t.co/dNZ7JUmWee
2️⃣ CLI-Anything（HKUDS）
口号是"让所有软件都具备 Agent 原生能力"，意思是可以把任意命令行工具变成 AI 能直接调用的技能。Agent 终于能真正掌控你的终端和整套工具链了，开发者和自动化党看到这个应该懂我在说什么。今天 1k+ 星，CLI 革命这回是动真格的了。
🔗 : https://t.co/SxPdBwxEI4
3️⃣ academic-research-skills（Imbad0202）
专为 Claude Code 打造的学术研究技能包，research→write→review→revise→finalize，整条科研流水线直接自动化跑通。写论文写报告的朋友，这东西都出来了你还在一层层手动搞？今天暴增 3k+ 星，学术圈要大地震了。
🔗 : https://t.co/rmjtzAoAdi

4️⃣ superpowers（obra）
这个不只是工具，而是一套 Agent 技能框架加软件开发方法论。说白了就是教你怎么系统性地把 Agent 用好，不是给你一堆提示词就完事，而是真正的底层打法。今天 1.6k+ 星，老鸟必备，新手更该看。
🔗 : https://t.co/CCVzsFXQV6
5️⃣ agentmemory（rohitg00）
AI 编码 Agent 的持久化记忆方案，基于真实基准测试优化出来的。Agent 最大的硬伤就是没有记忆，长任务跑着跑着就丢了上下文，这个项目就是专门来补这个坑的。今天 1.6k+ 星，编码 Agent 基础设施这一环终于补上了。
🔗 : https://t.co/RquV5oDsc9
说句实在话，Agent、CLI、Memory、Skills 这四块现在已经是标配了，不是将来，就是现在。谁先把这套基础设施吃透，下一波 AI 生产力爆发的时候，你就是那个早已准备好的人。

[0xFuck.ETH @0x404page]

卧槽兄弟们，GitHub 上真的有一堆免费到离谱的项目。

很多能力已经能直接干掉你正在月付的软件。

1. TradingAgents
AI 多 Agent 量化交易框架
https://t.co/TUb3q0uILN…

2. LibreChat
一个界面接入 ChatGPT、Claude、Gemini 等多个模型
https://t.co/UUMftLSOU4…

3. HyperFrames
HeyGen 开源的视频生成引擎
https://t.co/OZKS8R1qnj…

4. Fincept Terminal
开源版彭博终端
https://t.co/3QGYCnWJqV…

5. MoneyPrinterTurbo
AI 一键生成短视频
https://t.co/XenuwHKMwg…

6. Agentic Inbox
Cloudflare 开源 AI 邮件助手
https://t.co/g92N5IMxIG…

7. VoxCPM
AI 声音克隆工具
https://t.co/nWDB88AF0m

8. Flowsint
开源 OSINT 情报分析工具
https://t.co/dNp65L5v0e…

9. agent-skills
Claude Code 技能库
https://t.co/y7RnzfKJT8…

10. Nango
开源 API 集成平台
https://t.co/xBK94t6Pgj

兄弟们，这些真不是玩具项目。

很多你还在交月费的软件，GitHub 上已经有人做出开源平替了。

一句话：

别只会收藏 AI 工具网站了。

真正狠的东西，很多都藏在 GitHub 里。

[Lunar @LunarResearcher]

An OpenAI researcher was mentoring at YC office hours last Tuesday.

I had 8 minutes to pitch. He was the third reviewer.

"What's the startup?"

"No startup. I'm running a Polymarket bot with Claude Code. Wanted feedback on the architecture."

He leaned back. "Show me."

I opened my laptop.

3 weeks. 4 agents. 4,608 trades. 73% win rate. +$124,000.

He stopped leaning.

"You're trading Polymarket from a YC pitch?"

"The bot is running right now."

https://t.co/klxt0tuTYF

86 million trades. Every wallet. Every entry. Every exit.

"You're feeding Claude raw wallet data. Letting it find the wallets that consistently win. Then cloning their behavior with a 60-second delay."

He said it like he was taking notes for a postmortem.

"Entry is the easy part. Exit is where the alpha lives."

I told him my bot cuts at 85% of expected move or on a 3x volume spike. Top wallets exit before resolution 91% of the time. They capture 86% of the move. Claude found it in 20 minutes.

I showed him the second repo.

https://t.co/SbyxXxEMbe

Three commands. 500+ markets. No API key. Claude scores them in 20 minutes.

"That's the eval pipeline we built at OpenAI. Except you shipped it on a Saturday for $25 a month."

Then he said it.

"Fable 5.0 dropped yesterday."

I shrugged. "I tried it. Same setup. Same repos. Same 4,608 trades."

"And?"

"Claude Code still wins. Fable hallucinates the wallet rankings. 3 out of 10 wrong. Claude got 9 out of 10."

"You already benchmarked it."

"Yesterday."

He closed his notebook.

Copytrade profile: https://t.co/J31VlkBLhw

"Fable is the new model. Everyone will assume it wins everything. You just published data that says it doesn't."

I said: "Good."

He emailed me that night.

"Please take it down. Our brand team is going to lose it."

Too late.

[财经老王 @linda6248130564]

🤖 Polymarket 机器人极致反应：1分钟完成风险对冲，把大额亏损锁死成可控范围

这个账号：https://t.co/0qtJdCz6HH
注册仅3个月，交易笔数已超7000笔，明显是全自动机器人在跑。

⚡ 完整操作过程

- 初始持仓：持有 484份 NO，平均成本约 75美分，投入约 $363
- 突发行情：市场突然反转，YES 方向快速拉升，NO 面临大幅浮亏
- 机器人动作：1分钟内立刻买入 516份 YES，均价约 41美分，新增投入约 $211
- 总资金：合计约 $574，完成双向对冲

🧮 对冲逻辑

- 若 YES 最终结算：NO 亏损约 $363，YES 盈利约 $304 → 总净亏约 $59
- 若 NO 最终结算：YES 亏损约 $211，NO 盈利约 $121 → 总净亏约 $90
- 对比：如果不操作，单边行情可能直接亏掉超过 $300

它不是为了赚最多，而是用小代价换取确定性，把极端亏损彻底封死——这就是量化风控的核心：有时候“少赚一点”，比“一把亏光”重要得多。

这就是AI交易的优势：行情突变时，人类还在犹豫，机器人已经算完所有概率，执行完毕。

#Polymarket