what a hassle - i fw @rakebitcom
Dm for collabs 👉
Joined August 2024
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S 🫧 retweeted
every freelancer knows the pain of clients asking for just one more thing before launch.
@_MonoDesk built an ai co worker to handle the business side of freelancing.
→ checks requests against agreed project scope
→ flags extra work and drafts client replies
→ creates proposals with phase 2 quotes
→ manages projects through a shared client portal
→ works with claude and chatgpt through mcp
less admin. fewer scope headaches. more time for creative work.
and it’s free.
🤝 Paid partnership
S 🫧 retweeted
Everyone in the closed beta is already in the draw
The only filter left is whether they noticed you
Well i am sat for what @perpdotcom is cooking
We’re giving away an iPhone Duo 📱
Everyone selected for the Perp.com closed beta is in the draw.
Get seen. Get in.
FREE CLAUDE CODE. AND IT ALREADY HAS 63,000 GITHUB STARS.
A developer built an open-source proxy that lets you run Claude Code with free or local AI models.
The best part?
You keep using the same Claude Code interface. You just switch the model running behind the scenes.
Here’s what it supports:
→ 60+ providers, including NVIDIA NIM, OpenRouter, DeepSeek, and Kimi
→ Assign different models to Opus, Sonnet, and Haiku
→ Works with your terminal, VS Code, JetBrains, and Telegram
→ Automatically switches to the next model if one fails
Think of it as changing your car’s engine without touching the steering wheel.
Just keep in mind that free usage limits depend on the provider and can change.
FREE. OPEN SOURCE. WORTH SAVING.
REPO BELOW.
THIS IS A F**KING GOLDMINE.
People are using Grok Bot to automate Solana trading while others still think AI trading is all hype.
One trader claims they turned $133.70 into $14,880 in a single session, with Grok Bot scanning new token pairs, filtering entries, and managing trades.
That’s a massive claimed return, but it’s not a guarantee of future profits.
Want to build a similar trading system?
Here are 7 GitHub repos worth checking out:
01 / Solana.py
Connects Python applications to Solana accounts, token data, and transaction submission.
github.com/michaelhly/sol…
02 / Raydium SDK V2
Tools for reading Raydium liquidity pools and building swap transactions.
github.com/raydium-io/ray…
03 / Orca Whirlpools
SDKs for interacting with Orca liquidity pools and preparing swaps.
github.com/orca-so/whirlp…
04 / VectorBT
Backtest trading strategies against historical data, including fees, trade outcomes, and drawdowns.
github.com/polakowo/vecto…
05 / DuckDB
Stores market snapshots and execution records so you can review and analyze every trading decision.
github.com/duckdb/duckdb
06 / QuantStats
Generates performance reports covering returns, volatility, and losing periods.
github.com/ranaroussi/qua…
07 / Lightweight Charts
Builds interactive dashboards to visualize price feeds, entries, and exits.
github.com/tradingview/li…
How to bring everything together:
Connect the tools to Grok Bot through scripts or APIs.
Before executing any trade, your system should verify:
→ Token validity
→ Available balance
→ Quote freshness
→ Maximum slippage
It should also record confirmed transactions before updating positions.
Start with one market, backtest the strategy, and replay the entire workflow before risking real money.
Your terminal should explain rejected trades just as clearly as successful ones.
SAVE THIS REPO LIST. You’ll need it if you’re building an AI trading system.
THIS IS F**KING Dangerous
HACKERS CAN USE THIS TO MAP AN ENTIRE ATTACK SURFACE.
BBOT PACKS 100+ RECON MODULES INTO ONE FRAMEWORK THAT CAN HELP MAP AN ENTIRE ATTACK SURFACE.
Here’s what it can do:
→ Discover subdomains and hidden assets
→ Identify exposed ports, services, and cloud storage
→ Fingerprint websites and capture screenshots
→ Search for vulnerabilities and leaked secrets
→ Export findings into reports and databases
It also supports API integrations, custom scan profiles, and Python automation.
Instead of juggling dozens of different reconnaissance tools, BBOT brings them together in one framework.
If you’re into ethical hacking, bug bounties, or penetration testing, this deserves a spot in your toolkit.
BOOKMARK IT.
Only scan systems you own or have explicit permission to test.
REPO BELOW.
THIS GITHUB PROJECT CAN HELP YOU KEEP CODING WITHOUT CONSTANTLY RUNNING OUT OF AI TOKENS.
It’s called OmniRoute.
It connects 375 AI providers through a single endpoint, with over 150 reportedly offering free tiers.
Here’s what makes it interesting:
→ Automatically switches to another model when your current one runs out of quota
→ Works with Claude Code, Codex, Cursor, OpenCode, Cline, and Copilot
→ Compresses conversation context to reduce token consumption
→ Claims to save between 15% and 95% of token usage
→ Runs locally on your machine
→ Open source under the MIT license
Instead of constantly switching between AI providers when you hit usage limits, OmniRoute helps handle the process automatically.
79.1K GitHub stars.
It’s called OmniRoute.
REPO BELOW.
RUN FRONTIER AI MODELS FOR FREE INSIDE DEEPSEEK’S AGENT.
A new DSH plugin adds free models directly to your model picker.
Here’s what you get:
→ DeepSeek V4.1 Flash
→ GLM 5.3 Flash
→ Kimi K3
→ And more
No login. No API key. No subscription.
Here’s how to set it up:
npx @deepseek-ai/dsh web
Clone github.com/Ebony-Vinyl/ds…
dsh plugin --profile web add /path/to/dsh-our-free-model
Restart DSH.
The free models should now appear in your model picker.
One important warning: Don’t share passwords, API keys, private files, or sensitive information with these free models.
Availability may vary by region and provider.
Try it out.
GOODBYE CODEX. GOODBYE CLAUDE CODE.
OpenCode is a FREE open-source alternative worth checking out.
It runs directly in your terminal and now comes with a desktop app too.
You get two modes that you can switch between using the Tab key:
→ Build: Full access to your project. It can write code, modify files, and execute commands.
→ Plan: Read-only mode. It explores your codebase, analyzes the project, and asks for permission before making changes.
Getting started takes just ONE command:
curl -fsSL opencode.ai/v2/install | bash
You can also install it through Homebrew, npm, pacman, Nix, and other package managers.
It also has desktop apps for Mac, Windows, and Linux.
No vendor lock-in. Choose the AI models you want to work with.
220,000+ stars. 29,300+ forks. MIT license.
If you’re looking for an alternative to Claude Code or Codex, give this a try.
REPO IN THE COMMENT.
REA (Reverse Engineer Anything) is one of the most powerful GitHub repos I’ve come across.
It gives AI agents the ability to analyze websites and apps, understand how they work, and recreate their features.
It’s like having a reverse engineering assistant that can break down almost any digital product.
And here’s the interesting part:
Pair it with Claude Code, give it the right instructions, and you can start rebuilding complex interfaces and functionality without starting from scratch.
If you’re into AI development, reverse engineering, or building products faster, this repo is worth checking out.
STEAL THIS PROMPT:
THESE 2 FREE GITHUB REPOS CAN HELP YOU BUILD YOUR OWN AI-POWERED TRADING TERMINAL.
REA + Kronos + Claude Code can turn an ordinary computer into a Bloomberg-style market research workspace.
Professional traders spend thousands on market data and research tools, but these open-source projects give you the building blocks to create your own.
Here’s how it works:
REA helps AI agents understand existing software and recreate its functionality.
Kronos is a financial foundation model that treats candlestick data like tokens and predicts possible future price movements.
Combine them, and you can build a financial terminal with charts displaying AI-generated forecasts.
Here’s how to build it yourself for FREE:
Step 1: Connect REA to Claude Code using:
github.com/morluto/rea
Ask Claude to map out a professional market terminal with quotes, charts, screeners, news, and market dashboards.
Step 2: Have Claude build the interface with equities, forex, commodities, crypto, global indices, and financial news.
Step 3: Connect public market data APIs to populate the terminal with live prices, charts, and market information.
Step 4: Clone Kronos:
github.com/shiyu-coder/Kr…
Load Kronos-small, a 24.7M parameter financial forecasting model.
Step 5: Feed it the last 512 candlesticks and generate predictions for the next 24.
Step 6: Generate 100 possible future price paths and display them directly on your terminal charts.
Step 7: Analyze the forecast distribution, identify market regimes, and backtest your strategies with realistic trading fees before risking real money.
The result?
A Bloomberg style research terminal combining market data, financial news, charts, and AI-powered forecasting in one workspace.
Just imagine what you can build with these tools.
BOOKMARK THIS. You’ll want to come back to it.
S 🫧 retweeted
THIS IS F**KING INSANE!
One creator reports $10K+ from AI-made videos without ever opening a timeline. The tools matter less than the system behind them.
The loop:
Spot a video that's already performing
Break down why it works: hook, pacing, structure
Have Claude write a fresh script built on that structure
Generate the visuals, voiceover, and captions
Publish
Repeat
The mindset shift:
"How can AI speed up my editing?" still leaves you doing the work, just a bit quicker.
"How much of this pipeline can I remove myself from?" is the question that builds a business.
Saving 30 minutes a video is optimization. A system that turns out video after video without you touching the edit is an asset.
Save this one.
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