AaDil

#Pakistan #StreetPhotographer #Ai

[AaDil @adil0day]

@TommiPedruzzi Send

[AaDil @adil0day]

SEO Fragments: Rank & Get AI Citations: 117 SEO tools to rank on Google and get cited by AI https://t.co/uxNUr1kCIk via @producthunt

[0xTria @0xTria]

https://t.co/fFZLRKl47C

[Felix Heide @_FelixHeide_]

Are we done with object detection? What about tiny objects beyond 200 meters? 🔎

Telescope 🔭 addresses long-range perception by explicitly tackling extreme scale imbalance ⚖️ in images. It hinges on a learnable hyperbolic foveation transform from a low-resolution image, magnifying distant regions 🔍 while compressing nearby ones - effectively normalizing object scales with minimal computational overhead. Objects are detected in the transformed (Riemannian) space using a novel bounding box parameterization and are then mapped back to the original image.

Project: https://t.co/mBuQGd7KnB

[#OSINT to Educate @techniquesOsint]

https://t.co/oz5lpvJGsv

A simple but powerful OSINT/GEOINT tool to compare Google, Apple, Yandex, OSM and satellite layers in one place.

Useful when sensitive sites are deliberately blurred or obscured on one map layer but remain visible on another.

#OSINT #GEOINT #Geolocation

[Bert Temme @berttemme]

QGIS Terralab AI Edit plugin demo

[Vantor @vantortech]

We’re proud to partner with @Google to bring their Earth AI models into real-world operations, turning advanced spatial data into mission-ready intelligence that accelerates decision timelines from hours to seconds.

In their latest blog, Google highlights how this collaboration is already reshaping what's possible for when it matters most: disaster response.

After severe storms, speed and clarity are everything. Within our Sentry monitoring app, we can apply these models to transform our satellite imagery collections into actionable insight—helping teams quickly identify washed-out roads, assess infrastructure damage, and prioritize recovery efforts.

This is what the partnership is about: combining best-in-class AI with a proven spatial foundation and operational capabilities to deliver real outcomes for customers on the ground.

Read more: https://t.co/mH1f1XsqCQ

[Kpler @Kpler]

Hormuz vessel traffic snapshot

Strait of Hormuz activity remains in focus as regional dynamics evolve.
Our latest snapshot highlights vessel crossings by commodity including liquids, dry bulk, LNG, and LPG across key transit routes.
Note: Crossing data is accurate as of 09:00 UTC, 22 April. Figures may be updated as additional data is backfilled throughout the day.

Stay ahead of the market with #Kpler Insight: https://t.co/EDvmUqQisb

[cvxv666 @antpalkin]

https://t.co/2NTVA4C2mx

[OSINTtechnical @Osinttechnical]

Iran's IRGC Navy says that it captured a pair of container ships that attempted to sail through the Strait of Hormuz this morning.

The ships were attacked and then seized by Iranian forces.

[AaDil @adil0day]

@RoundtableSpace #Boycottanthropic #Boycottclaude

[kepo @kepochnik]

9 GitHub repo for trading on Prediction Markets:

1. Analysis: https://t.co/cprtuRZn1p
data analysis for Polymarket and Kalshi

2. Polymarket Agents: https://t.co/cVhDaXbZHe
framework for building AI agents with API integrations and RAG support

3. CLI: https://t.co/yD6NInwWKU
browsing markets placing orders managing your wallet

4. pmxt: https://t.co/ZbIwzgJ7on
unified library for working across multiple prediction market platforms

5. CLOB Client: https://t.co/z5zjFCVmc6
place orders and manage positions through a simple API

6. TRUMP CODE: https://t.co/AAWHEe25iy
analyzes Donald Trump posts and looks for related arbitrage opportunities

7. Polyseer: https://t.co/2IXFK5P3qC
AI tool for deep prediction market analysis using Bayesian evidence aggregation across multiple data sources

8. PolyClaw: https://t.co/jbiiRDWl0Q
CLI plugin for trading on Polymarket with AI-powered hedge discovery

9. Polymarket Data: https://t.co/EiSoSKF6Nv
107 GB dataset containing 1.1B Polymarket trades from the blockchain for research

completely free

[st1ne @SolSt1ne]

An Anthropic engineer watched my screen from the next table at a cafe in SF.

"Are you running Claude against live prediction markets right now"

I told him yes.

Then I showed him the stack.

214 trades. 74% win rate. +$9,437 in 19 days.

Here's what actually happened:

I gave Claude two repos and a simple job.

First repo:
https://t.co/n2lbOtMrJn

A full market archive. Wallet behavior, entries, exits, and timing across the board.

Second repo:
https://t.co/IHFm9Kx0dQ

Three commands. 500+ markets. No API key. Just a clean way to score the board fast.

The system does not try to predict the world.

It tries to find which wallets consistently exit better than the crowd, isolate the pattern, and only fire when the same structure shows up again.

Main filter:

captured value / expected value > 0.70

If a wallet wins often but leaks the move on exit, it gets ignored.

If it captures most of the move and cuts losers fast, it becomes signal.

Sizing uses Kelly:

f* = (p*b - q) / b

That is what stops the terminal from apeing into weak edges.

Most of the time it does nothing.

No edge - no position.

Three trades from the run:

> AMD Xilinx - entered 52c. Model said 59c. Closed +7c in 2h40m.
> Artemis launch - entered 63c. Model said 85c. Closed +22c in 5h10m.
> Derecho MW - entered 71c. Model said 87c. Closed +16c in 1h50m.

When he saw the repo links and the live terminal, he stopped talking for a second.

Then he said:

"We tested something close to this internally."

That was the whole joke.

The data is public.
The repos are public.
The market is public.

But most Polymarket traders still trade headlines, hold too long, and call it conviction.

Polymarket does not reward the smartest story.

It rewards the cleaner exit.

[Indu Tripathi @InduTripat82427]

Best GitHub repos for Claude Code that will 10x your next project in 2026

1. Claude Mem
https://t.co/xTuXzwrVMc
Persistent memory across sessions — stop re-teaching Claude your codebase

2. UI UX Pro Max https://t.co/2OCf6QIypH
50+ styles, 161 color palettes, 99 UX guidelines — Claude stops building ugly UIs

3. n8n-MCP…https://t.co/2OCf6QIypH
Connect Claude Code to 400+ n8n integrations via MCP

4. LightRAG https://t.co/B2ewCFLumX
Graph + vector RAG — lets Claude understand large codebases structurally

5. Everything Claude Code https://t.co/Qq5XZAwcBo
Skills, instincts, security scanning, multi-language coverage — full agent harness

6. Awesome Claude Code https://t.co/8sdIAZa9Vi
Community bible — curated skills, hooks, slash commands, orchestrators

7. Superpowers https://t.co/M23gErj3LZ
Forces structured thinking before writing a single line of code

8. Claude Code Ultimate Guide https://t.co/R1mkZgLdqQ
23K+ lines of docs, 219 templates, 271 quizzes — beginner to power user

9. Antigravity Awesome Skills https://t.co/8sdIAZa9Vi
1,200+ ready-to-use skills — one of the largest collections

10. Claude Agent Blueprints https://t.co/McxU26ieCI
75+ agent workspace templates beyond coding

11. VoiceMode MCP
https://t.co/mUGAI6KtRq
Natural voice conversations with Claude Code via Whisper + Kokoro

12. Awesome Claude Plugins
https://t.co/bg2jQDUHc0
9,000+ repos indexed with adoption metrics — find what people actually install

Bookmark this before your next build.

[Movez @0xMovez]

https://t.co/xeWj8ZEAlp

[The Smart Ape 🔥 @the_smart_ape]

https://t.co/FAjyLzZfTi

[Palantir @PalantirTech]

“Palantir got us to serving our customers so much faster.”

Daniel Buchmueller shows @chadwahl how Gallatin AI’s Navigator - built on Palantir Foundry and deployed through Maven Smart System - is transforming tactical resupply at the edge.

[Yohan @yohaniddawela]

One of the quickest ways to increase the resolution of satellite images?

Pansharpening.

Here's what you need to know about it:

[Lunar @LunarResearcher]

https://t.co/dDGYm5PBsc

[AaDil @adil0day]

@everestchris6 POOL