Public shared posts
Obsidian finally got a CLI.
Highly reccommend setting up your AI second brain ASAP. https://t.co/o34J3fvWTN
A research agent is only as good as the search layer behind it!
I built a Deep Research Agent using LangChain Deep Agents with a search-first architecture designed around grounded, source-backed research.
The agent plans the research in real time, breaks the work into smaller steps, searches across the web, reasons over the retrieved sources, and produces a fully cited answer.
For this project, I used Liner as the search and grounding layer.
Liner returns raw, structured search results with titles, URLs, descriptions, and dates.
Some guy made a python library of self-improving algorithmic trading AI agents
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Some guy made a python library of self-improving algorithmic trading AI agents
Then gave it away for free:
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It's called ATLAS.
And it applies these 3 concepts to Financial Markets:
- Karpathy's Autoresearch
- Soro's Reflexivity
- MiroFish's Swarm Agents
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18 Month Backtest Results:
From Sept 2024 to March 2026 Equity Curve.
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Get it here free:
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Want to learn Algorithmic Trading Strategies (that actually work)?
On September 3rd, we are hosting a free workshop to help you get started with algorithmic trading with Python.
Register here (630+ registered):
https://
learn.quantscience.io/join
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Top 20 Grok Bot Prompts For SEO - The Only Stack You'll Ever Need.
THIS IS THE ARTICLE I WASN'T GOING TO PUBLISH. everyone's using Grok Bot at 10% of its actual SEO potential. these 20 prompts are the other 90%. i'm giving every single one away for free.
https://pbs.twimg.com/media/HQFoXyjasAAA5mr.jpg
i built this system after 14 years of managing local SEO for home services businesses. plumbers. HVAC companies. lawyers. cleaning companies. i've seen what moves rankings and what wastes time.
these 20 prompts are the ones that actually move the needle. these are the actual prompts you paste into Grok Bot and get real output from.
save this. you'll need it.
before you run a single prompt - load your business context
"Here is everything you need to know about my business before we start any SEO work. Reference this every time I ask you to run an audit, build a strategy, or analyze competitors. Never ask me for this information again.
WHOEVER BUILT THESE AI HACKING TOOLS WAS NOT PLAYING
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WHOEVER BUILT THESE AI HACKING TOOLS WAS NOT PLAYING
And the crazy part?
They don’t just scan for vulnerabilities.
They can actually simulate attacks—> chain attack paths—> validate what they find.
Here are the 3 tools:
→ Decepticon runs 16 autonomous red team processes inside a hardened Kali Linux sandbox.
→ Pentest-Swarm-AI launches multiple attack paths across your network perimeter in parallel.
→ Strix performs real application pentests and validates vulnerabilities with working exploits.
AI powered security testing is getting seriously wild.
REPO BELOW
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Here are all the links
Decepticon:
https://
github.com/PurpleAILAB/De
cepticon
…
Pentest-Swarm-AI:
https://
github.com/Armur-Ai/Pente
st-Swarm-AI
…
Strix:
https://
github.com/usestrix/strix
Follow
@MAXdeg0
if you find it useful
https://t.co/M6s8jFE4OA
https://t.co/3jaqUblHC8
https://t.co/uMO9AQM2t5
done, it's open source now
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done, it's open source now
iOS phone farm - register real iPhones, watch + control them live in the browser, schedule tiktok on a postgres-backed scheduler.
free, self-hosted, apache-2.0.
- git:
https://
github.com/Git-Agni/prod-
FARM-IOS-Core
… - DIY steps:
https://
gethandler.ai/ios-farm
https://t.co/COLryoAtwK
https://t.co/N8XGsrTiqn
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don't buy the tool sellers, WDA works proof 2:
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30 Search requests/min = up to 43,200 searches a day.
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30 Search requests/min = up to 43,200 searches a day.
And Fetch comes with it. All FREE.
Search + Fetch are fundamental primitives for agents. Cost shouldn’t be the reason anyone thinks twice about implementing them.
Love seeing
@MonidHQ
put TinyFish Search + Fetch into the hands of more agents!
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Grab your free API Key and try it out at
do you train on users searches? Aug 28
10 AI Trading GitHub Repos You Should Have on Your Radar
AI is moving into trading — from LLM-powered analysts to reinforcement learning and automated quant research.
If you're interested in AI + finance, these 10 open-source repos are worth exploring.
- TradingAgents
A multi-agent LLM framework that simulates a trading firm with specialized analysts, traders and risk-management agents.
🔗 https://github.com/TauricResearch/TradingAgents
- FinRL
An open-source financial reinforcement-learning framework for training AI agents on trading and portfolio-allocation tasks.
🔗 https://github.com/AI4Finance-Foundation/FinRL
- FinRL-X
An AI-native quantitative trading infrastructure combining ML, reinforcement learning, LLM-ready workflows and risk controls.
🔗 https://github.com/AI4Finance-Foundation/FinRL-Trading
- Qlib
Microsoft's open-source AI-oriented quantitative investment platform for research, modeling and strategy development.
🔗 https://github.com/microsoft/qlib
- FinGPT…
HackerGadgets AIO Board Package
I have been working on a package that sets up the HackerGadgets AIO Board. This package supports the RPi CM4/5. This package is designed for Debian if used on another distro YMMV. I wanted to make this package to take some of the headache of configuring everything if you so choose.
To install the package in Debian sudo apt update && sudo apt --install-recommends install hackergadgets-uconsole-aio-board -y && sudo apt install meshtastic-mui -y to install everything
If you would like to just install apps piecemeal here’s a list of them I’ve preconfigured:sdrpp-browntar1090pygpsclientmeshtastic-mui - You’ll need to install the full hackergadgets package for this to work.
The following programs will be installed and configured with app launcher the the start menu where applicable:
RTC
After you have accurate system time you need to set the RTCs time by issuing. sudo hwclock -w
Reboot and system time will automatically be set.
Meshtastic
Règles | Argumentum
Les règles d'Argumentum
Argumentum, c'est un matériel ludique qui peut se jouer de plein de façons différentes.
La règle pour débuter, pour découvrir les cartes, c'est celle de l'école des menteurs.
Nous rassemblons dans cette page les règles que nous avons imaginées et toutes celles que vous nous conseillez.
N'hésitez pas à proposer une variante, une amélioration ou un nouveau jeu!
L'école des menteurs
de 4 à 10 joueurs
F*ck it
I'm giving away the internal doc we use at Boom on every $25-$60K operating system build.
Steal the system:
Map every workflow before touching a tool, and time the manual hours (if you follow me, you already know this)
Sort your stack into 3 buckets: absorb, keep, kill
every entity gets exactly one write path, in writing, before anything gets built
Consolidate one department at a time. Automate nothing yet
4 agents go on top in a specific order (intake always first)
Route simple tasks to cheap models, save frontier models for reasoning. Cuts token spend 80%+…
Learn 95% of Codex in 28 minutes
These are the 7 knowledge work capabilities...
inside Codex, the super-app
00:00 Intro
02:19 Capability 1 - Full File Access
07:41 Capability 2 - Persistent Memory
10:46 Capability 3 - Plugins
13:52 Capability 4 - Skills
19:22 Capability 5 - GPT Image Access
21:03 Capability 6 - Browser and Computer Use
23:58 Capability 7 - Automations
25:31 Bonus Feature - Chronicle
27:21 Summary
gl-inet/ble2mqtt: BLE 2 MQTT bridge on GL.iNet IoT gateway
BLE MQTT Bridge
Introduction
Bluetooth Low Energy (BLE) is widely used for smart home, wearable and IoT sensors. This guide provide a simple but useful tool that send your BLE data to MQTT servers, which is the underling mechanism for popular IoT solution.
In this guide we will introduce two GL.iNet BLE gateway, GL-X750 Spitz and GL-S1300 convexa S which has built-in BLE modules and how to use them to forward your BLE data to the cloud based on MQTT protocol, including GL.iNet GoodCloud and AWS IoT.
Hardware Required
Both GL-X750 and GL-S1300 comes with a Silicon BLE 5.0 module with the following specs. It connects to the main board using UART. The same module support BLE and Zigbee. However you need to change the firmware on the module (not the gateway). There is no way to change the firmware from BLE to Zigbee or vice versa on the air. So you have to select the correct module when you purchase the correct product.
Graph Engineering: the layer between prompts and product that nobody teaches (full course)
An AI rewrote a million lines of code in 11 days.
This was a real production runtime. Bun, the JavaScript engine that millions of apps quietly run on, went from 535,000 lines of code in one language to more than a million lines in another, all of it inside two weeks. Close to a year of work for a team, by hand.
And the thing that rewrite produced is already on your PC. Not in a repo you would have to go dig up, not behind a signup. Ten seconds to prove it:
strings ~/.local/bin/claude | grep -m1 'Bun v1'
# → Bun v1.4.0
The runtime that million-line rewrite produced is already inside the tool you code with.
What pulled it off was the shape of the work itself. The models were ordinary, the ones you already run. Wire them as a graph instead of a line, and one job at a time becomes a fleet running at once.
That is the layer almost nobody is taught to see.
Most people still line their agents up and wait. You type a request, wait for it, fix what came back, then ask the next thing.
validation is the product Sep 1
Finding bugs is easy; proving they’re real is the hard part. Sep 1