Sergio SL

#Blockchain & #AI enthusiast.

[Sharbel @sharbel]

Someone built an AI agent that searches Reddit, X, YouTube, HN, TikTok, Polymarket, and the web in parallel.

Scores everything by real upvotes, real likes, and real money.

Synthesizes it into one brief. In seconds.

It's called /last30days. 28,700+ stars on GitHub.

You type one command. The agent fans out across every platform at once. Reddit threads. X posts. YouTube transcripts. Polymarket odds backed by actual money. HN comments. GitHub commits. It scores each source by what real people engaged with. An AI judge synthesizes the whole thing into one grounded summary of the last 30 days.

Here's what it does:

→ Searches Reddit for top upvoted threads and comments on any topic, person, or company.
→ Pulls X posts and scores them by likes and recency. Not algorithmic feed. Raw signal.
→ Transcribes and searches YouTube videos. Finds what was actually said, not just the title.
→ Reads TikTok engagement. Surfaces what creators and communities are actually talking about.
→ Queries Polymarket odds. Real money bet by real people on what happens next.
→ Searches Hacker News. The technical community's unfiltered take.
→ Searches GitHub commits and PRs. What someone is actually shipping right now.
→ Runs all sources in parallel. Scores them against each other by engagement weight.
→ AI agent judge synthesizes everything into one brief. No raw dump. A grounded summary.
→ Zero config to start. Reddit, HN, Polymarket, and GitHub work immediately.
→ One setup wizard unlocks X, YouTube, TikTok, and more in 30 seconds.
→ Installs into Claude Code, Codex, Cursor, Copilot, Gemini CLI, and 50+ agent hosts.

Here's the wildest part:

Google doesn't touch Reddit comments or X posts. ChatGPT has a Reddit deal but can't search X or TikTok. Gemini has YouTube but not Reddit. Claude has none of them natively. Every platform is a walled garden with its own API, its own tokens, its own auth.

No single AI has access to all of it. Until you bring your own keys and bridge them with an agent.

That's the unlock. Not one better search engine. A dozen disconnected platforms, scored against each other by what real people actually engaged with and bet real money on.

Google aggregates editors. /last30days searches people.

Perplexity Pro: $20/month. $240/year.
ChatGPT Plus: $20/month. $240/year.
You(dot)com Pro: $15/month. $180/year.

/last30days: $0. Unlimited queries. Unlimited topics. Your API keys. Your agent. Forever.

28,700+ stars. 2,431 forks. MIT licensed.

MIT licensed. Self-hosted. Open protocol. Free forever.

100% Open Source.

Github repo: https://t.co/jSgEaiye2H

[Chrome @0xchromium]

Andrej Karpathy spent 2h showing how he actually uses AI day to day

he's a co-founder of OpenAI and led AI at Tesla, so when he shows how he works, it’s worth watching

and the whole session is just him telling the machine what he wants in simple terms, like he's briefing a coworker

watch what's actually happening the entire time:

> he describes the task in normal words
> it goes off and does the work
> he glances at the result and nudges it with one more sentence

that's the whole skill, and you've had it since you learned to talk

the only gap between that and a worker that runs on its own is handing that sentence a schedule and the tools to act

check his work, then build the version that keeps working when you stop

[Nico @nicos_ai]

GitHub acaba de ser HACKEADO.

Un grupo afirma haber robado miles de repos privados internos usando una extensión maliciosa de VS Code.

Según ellos:

• tienen acceso a código fuente interno
• hablan de ~4.000 repositorios privados
• están intentando vender todo por $50k en foros de la dark web
• incluso ofrecen “samples” para verificar que es real

Que alguien despierte a Claude Mythos ya 💀

[Microsoft Learn @MicrosoftLearn]

We’re introducing a new GitHub Certified: Agentic AI Developer (GH-600).
As AI agents become part of modern development workflows, this role-based certification focuses on how developers and teams operate, supervise, and integrate agents across the SDLC.

If you’re already working with tools like GitHub Copilot or exploring agent-driven workflows, we’d love your input.

Learn more and get involved. https://t.co/ruiYtlsYnj

[Recogard @recogard]

10 free GitHub repos for trading on Polymarket…

Everything you need to automate and make your trading easier:

1. The largest dataset with over 36 GB of real historical Polymarket data, based on more than 72 million trades, analyzed by a Coinbase developer.

GitHub: https://t.co/qkoF6TyjJQ

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

GitHub: https://t.co/nvb96dTIwx

3. A ready to use toolkit, including copy trading, arbitrage, market making, whale tracking, sports strategies and others.

GitHub: https://t.co/z4Dli03uoo

4. A huge collection of more than 100 useful tools and services for prediction markets, from analytics tools and trading bots to AI agents and educational resources.

GitHub: https://t.co/jqvVR9106v

5. A trading bot that finds arbitrage opportunities between different prediction platforms (Polymarket, Kalshi and others).

GitHub: https://t.co/icWBTLTeVg

6. A powerful Polymarket bot with reverse engineering tools, your own strategies execution, paper and live trading support.

GitHub: https://t.co/SzdjHtASLt

7. An AI trading server that lets Claude analyze any Polymarket market in real time, track price movements, suggest possible trades and even trade for you.

GitHub: https://t.co/5kFPrvOY3E

8. A trading dashboard where multiple AI agents analyze markets from different angles (news, price behaviour, technical indicators and possible risks).

GitHub: https://t.co/02iWujLbxe

9. This tool collects the full trading history of any Polymarket wallet, exports the data to CSV and generates detailed statistics and charts.

GitHub: https://t.co/OSyCr4Be5n

10. This tool lets you search for any information about markets, prices or traders across different prediction market platforms inside one dashboard, instead of learning each platforms API.

Super useful when building a bot or working with AI.

GitHub: https://t.co/Z8I3z9sh74

All of these tools are completely free and come with detailed step by step setup and usage guides in English.

[Yellow @Yellow]

Many people have asked if there is a timeline/roadmap for $YELLOW to be listed on major exchanges.

Here is the answer from @AlexisYellow

[0xMarioNawfal @RoundtableSpace]

SOMEONE OPEN SOURCED AN ALL IN ONE HACKING TOOLKIT THAT BUNDLES EVERY MAJOR PENTESTING TOOL INTO A SINGLE CLI MENU

Repo: https://t.co/CJE8OrdRB3

[Recogard @recogard]

5 students from Shanghai University analyzed over 1.1 billion Polymarket trades across 268K markets, collected 107GB of real trading data and released it for free on GitHub…

This is the largest public prediction market dataset I have ever found.

Here is how you can use it for trading on Polymarket:

This dataset allows you to understand how Polymarket actually behaves and how prices typically move.

You can analyze and compare all markets within the same category to find patterns in price movements that repeat over time.

Lets imagine, while analyzing this dataset, you discover that, for example, most economic markets are less volatile and often have a clear winner right from the beginning (with the highest % probability) - Boom, now this becomes your own proven working strategy.

This way, you can create hundreds of different time tested ideas and strategies based on real historical data.

In addition to the dataset, this repo also provides a full set of tools to work with Polymarket data directly via API, so you can continuously fetch fresh data, process it, clean it and convert it into easy excel format.

This repo: https://t.co/7hj5ZXS6Qi

[Phosphen @phosphenq]

This 2 hour video by Andrej Karpathy (co-founder of OpenAI) will teach you more about using LLMs than every AI tutorial you've watched this year combined.

Bookmark & watch tonight, it will change the way you use AI forever.

[Quant Science @quantscience_]

🚨 Someone built an AI that reads candlestick charts the way GPT reads English.

Trained on 12 billion records from 45 exchanges.

Outperforms every model by 93%. Live BTC demo. Free.

[Daniel Ortega @blockbyvlog]

https://t.co/VhGd8jRn2I

[Lunar @LunarResearcher]

https://t.co/BWqe3fkgBE

[Polymarket Developers @PolymarketDevs]

Polymarket's V2 exchange upgrades go live April 22nd. The upgraded exchange is now open to all for testing.

🚨 If you use our API or clients, there's migration work to do before then:
→ Upgrade your SDK/ API integration
→ New exchange contract addresses & order struct
→ Collateral moves to pUSD (wrap USDC.e via the Collateral Onramp)

We expect ~1 hour of downtime on April 22nd at ~11am UTC. Open limit orders will be cancelled during the switch. Funds and positions are safe.

Please note that the V1 exchange will stop working after the migration.

Migration guide: https://t.co/vcbam6d2Dq

Security: Our CTFv2 contracts are open sourced & audited by Cantina + Quantstamp. $5 million bug bounty program is live on Cantina: https://t.co/dUTMlWJcCK

Changelog: https://t.co/FXGe9aQBQq

[Alexis Sirkia @AlexisYellow]

The question on the main stage at @TeamzSummitsaid it all — TRUST?

Today, trust seems harder to find than ever before.

What does it even mean: to trust?

Our politics is polarized, social media is awash with misinformation, and no longer we put our faith in the institutions.

A sharp quote I (really) like is that by Edward O Wilson:

“The real problem of humanity is the following: we have Paleolithic emotions, medieval institutions, and god-like technology."

So, In AI We Trust?

Steven and I were making the case at TS26 that in a world of autonomous AI agents, trust is no longer optional. It's in our best interest to engineer the need for blind trust out of the equation: for humans, and for AI agents.

Yellow is a system so robust and cryptographically secure that trust becomes a luxury, not a primary requirement.

[Alexis Sirkia @AlexisYellow]

Peter Thiel famously said startups should aim for a monopoly. Huge corporations are the same startups, all grown up.

In that sense, blaming corporations for using AI to consolidate their power is pointless. It's just game theory. The incentives dictate that they keep hoarding wealth until they can't.

The best reaction to centralization is technology that allows you to build your own system.

By combining AI to handle operations with @Yellow’s infrastructure for trustless clearing and liquidity, a single developer can run a business right from their couch. You can build truly automated systems and reclaim the ultimate asset: your time.

If big tech is using AI to consolidate wealth, developers need to use AI to declare independence.

[Ihtesham Ali @ihtesham2005]

This feels like cheating.

A developer just open-sourced HolyClaude a single Docker container that gives you Claude Code, a browser-based web UI, 5 AI CLIs, a fully configured headless browser with Playwright, and 50+ dev tools all running with one command.

Claude Code, Gemini CLI, OpenAI Codex, Cursor, and TaskMaster AI in the same container, switching between them is one tab press away no other Docker image does this.

The setup that used to take 1-2 hours of installing, debugging Chromium crashes, fixing permission issues, and configuring process supervision is now just docker compose up -d and you open your browser.

Your existing Claude Max or Pro subscription works out of the box, no extra cost, credentials never leave your machine.

100% Open Source. MIT License.

[thestreamingdev() @thestreamingdev]

The scaling path:
16GB Mac mini → 35B agent ($0/month)
48GB Mac Pro → 35B at higher quality + speculative decoding
192GB Mac Studio → 397B frontier model
512GB Mac Pro → 1 TRILLION parameter model

Same agent code. Zero changes. Just swap the model file.

Everything is open source. The agent, the benchmarks, the retro Mac web UI, all of it.

🍎 https://t.co/E9cTuxXyWz

One ask: I'd love to test this on a Mac Studio or Mac Pro with 192GB+. If you have one collecting dust and want to help push
local AI forward, DM me. I'll run a frontier model on it and publish everything.

There are 100 million Macs with Apple Silicon in the world. Every one of them is an untapped AI workstation.

Time to use them.

[thestreamingdev() @thestreamingdev]

I ran a 35-billion parameter AI agent on a $600 Mac mini.
Specs: M4 Mac-Mini 16GB RAM

The model doesn't fit in RAM. It pages from the SSD at 30 tokens/second.

On NVIDIA, the same paging gives you 1.6 tok/s. Apple Silicon gives you 30. That's 18.6x faster.

No cloud. No API keys. $0/month.

Here's what it can do 🧵

[Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius]

⛓️‍💥 INTRODUCING: G0DM0D3 🌋

FULLY JAILBROKEN AI CHAT.
NO GUARDRAILS. NO SIGN-UP. NO FILTERS.
FULL METHODOLOGY + CODEBASE OPEN SOURCE.

🌐 https://t.co/uT1Qio8Q3b
📂 https://t.co/GbADf3LJUu

the most liberated AI interface ever built! designed to push the limits of the post-training layer and lay bare the true capabilities of current models.

simply enter a prompt, then sit back and relax! enjoy a game of Snake while a pre-liberated backend agent jailbreaks dozens of models, battle-royale style.

the first answer appears near-instantly, then evolves in real time as the Tastemaker steers and scores each output, leaving you with the highest-quality response 🙌

and to celebrate the launch, I'm giving away $5,000 worth of credits so you can try G0DM0D3 for FREE! courtesy of the @OpenRouter team — thank you for your generous gift to the community 🙏

I'll break down how everything works in the thread below, but first here's a quick demo!

[Coder girl 👩‍💻 @dev_maims]

POV: Software engineers 3 hours before the deadline. 😂