
@googledevexpert Flutter & Dart • Chief Creative Director @arvanni_co • [email protected]
GitHub
Joined January 2019
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So evolution? 👀
ALGUIEN EN GITHUB HA SACADO UNA API DE WHATSAPP GRATIS
ahora puedes ejecutar una api de WhatsApp en tu propio servidor sin pagar a Meta.
se llama OpenWA. 12.8K estrellas.
la api oficial de WhatsApp Business se paga y te ata a su plataforma. OpenWA te da automatización por api, autoalojada y gratis.
→ envía y recibe mensajes con una api rest
→ ejecuta varias sesiones de WhatsApp a la vez
→ gestiona sesiones y webhooks con un panel web
→ conéctalo a n8n, Chatwoot y agentes de ia con MCP
clonas el repo, un comando de Docker y el panel está en marcha.
ojo: es no oficial, usa un número dedicado.
100% gratis. código abierto.
os dejo el repo abajo.
I highly recommend:
github.com/affaan-m/ecc
I highly recommend:
github.com/affaan-m/ecc
Cool 👌🏾
Hey Twitter, here’s Hearth (at least until I find a cooler name for it).
It’s a little app that lives in your Mac’s menu bar and connects to hundreds of smart home integrations through Home Assistant (I’ll be building support for other smart home ecosystems in the future).
With Hearth, you can monitor and manage your home’s energy usage, cameras, speakers, lights, smart plugs, air conditioners, and just about every fucking smart thing in your home that’s compatible with Home Assistant. Yes, including supported electric cars.
All without having to leave your Mac’s menu bar.
I vibe-coded this over the weekend, with a few visual tweaks done in Figma. Built with SwiftUI, Python, and JavaScript, with help from Claude and Codex.
It’s open source, so you can do whatever the license allows. Fork it, clone it, contribute to it. Doesn’t fucking matter. I just want people to build on it and make it better.
I’ll continuously make improvements to Hearth over the next few months, and I’ll need all the support I can get. Raise issues, suggest features, share feedback, or contribute to the project as you try out my little app.
I’m also considering building a mobile companion app and a full macOS desktop experience in the future.
I made a little video from my Mac mini to showcase some of what Hearth can do.
You can also check out the project on GitHub following the link below and give it a star if you like it :)
github.com/obileonardo/heart…
czar retweeted
Hey Twitter, here’s Hearth (at least until I find a cooler name for it).
It’s a little app that lives in your Mac’s menu bar and connects to hundreds of smart home integrations through Home Assistant (I’ll be building support for other smart home ecosystems in the future).
With Hearth, you can monitor and manage your home’s energy usage, cameras, speakers, lights, smart plugs, air conditioners, and just about every fucking smart thing in your home that’s compatible with Home Assistant. Yes, including supported electric cars.
All without having to leave your Mac’s menu bar.
I vibe-coded this over the weekend, with a few visual tweaks done in Figma. Built with SwiftUI, Python, and JavaScript, with help from Claude and Codex.
It’s open source, so you can do whatever the license allows. Fork it, clone it, contribute to it. Doesn’t fucking matter. I just want people to build on it and make it better.
I’ll continuously make improvements to Hearth over the next few months, and I’ll need all the support I can get. Raise issues, suggest features, share feedback, or contribute to the project as you try out my little app.
I’m also considering building a mobile companion app and a full macOS desktop experience in the future.
I made a little video from my Mac mini to showcase some of what Hearth can do.
You can also check out the project on GitHub following the link below and give it a star if you like it :)
github.com/obileonardo/heart…
czar retweeted
Like 9 months now. Stopped counting. I was whined too many times. Some hurt more than others.
This has always been a thing shaa 🙂↔️
Check this out:
github.com/NationalSecurityA…
this is the most DANGEROUS thing on internet today
REA (Reverse Engineer Anything) - this open source MCP lets your AI agent reverse engineer any app, down to the binary
i just reverse engineered TradingView, now I am using their premium indicators for FREE - software is cooked
here is how to use REA to reverse engineer TradingView:
1. point REA at TradingView's publicly observable interface and map every major feature, from chart interactions to indicators and alerts
2. trace how the interface behaves when you switch symbols, change timeframes, add indicators, draw levels, and update chart layouts
3. use REA's available MCP tools to investigate authorized software artifacts and trace application logic wherever the evidence allows
4. feed those findings into Claude Opus 5.5, which turns the investigation into a technical specification and an implementation plan
5. rebuild the charting engine independently, with real market data, candlesticks, technical indicators, drawing tools, and persistent watchlists
6. add a quant backtesting engine that tests strategies against historical data, accounting for fees, slippage, and drawdowns
7. test every component, compare its behavior against documented and observable results, fix failures, and keep iterating until the system actually works
8. you end up building your own TradingView-style quant research terminal from scratch, with source code you control and features you can keep extending
i won’t say anything more:
This has always been a thing shaa 🙂↔️
Check this out:
github.com/NationalSecurityA…
this is the most DANGEROUS thing on internet today
REA (Reverse Engineer Anything) - this open source MCP lets your AI agent reverse engineer any app, down to the binary
i just reverse engineered TradingView, now I am using their premium indicators for FREE - software is cooked
here is how to use REA to reverse engineer TradingView:
1. point REA at TradingView's publicly observable interface and map every major feature, from chart interactions to indicators and alerts
2. trace how the interface behaves when you switch symbols, change timeframes, add indicators, draw levels, and update chart layouts
3. use REA's available MCP tools to investigate authorized software artifacts and trace application logic wherever the evidence allows
4. feed those findings into Claude Opus 5.5, which turns the investigation into a technical specification and an implementation plan
5. rebuild the charting engine independently, with real market data, candlesticks, technical indicators, drawing tools, and persistent watchlists
6. add a quant backtesting engine that tests strategies against historical data, accounting for fees, slippage, and drawdowns
7. test every component, compare its behavior against documented and observable results, fix failures, and keep iterating until the system actually works
8. you end up building your own TradingView-style quant research terminal from scratch, with source code you control and features you can keep extending
i won’t say anything more:








