Spy Kab

[Qiusheng Wu @giswqs]

GeoLibre v3.7.0 is here!

GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.

This release takes GeoLibre indoors with IMDF and IndoorGML buildings and an on-map floor picker, brings back ArcGIS I3S scene layers with Building Scene Layer support, and adds JAXA Earth observation data. It brings together 48 pull requests from 6 contributors. Thank you to everyone who helped!

What's new in v3.7.0

- Indoor maps: open IMDF venues and IndoorGML buildings in 3D, switch floors on the map, and click a room to go to its floor.
- Stacked floors from data: extrude every floor of a building from its level attribute in one layer.
- I3S Building Scene Layers: explore BIM models with discipline and category toggles, plus ArcGIS tiled imagery layers that now draw.
- JAXA Earth: browse 119 Earth observation datasets and step through them by date.
- Better cartography: dashed, translucent, and soft lines, dark print layouts, and geodesic measurements on the ellipsoid.
- Deployment controls: switch off regional basemaps, use your own Overpass server, and save projects straight to your project server.

Try it out

- Launch GeoLibre Web: https://t.co/8gMtkVtfnm
- GitHub: https://t.co/VXq8c1o2Nd
- Documentation: https://t.co/7VA2AQoCUc
- Release notes: https://t.co/himoMuMbbz

#GIS #Geospatial #OpenSource #IndoorMapping #GeoLibre

[Kiro @0xk7ro]

holy sh*t, someone just mapped 51,000+ paid AI apps you can reverse engineer today

chatbots, writing tools, coding assistants and image apps, and most builders have no idea it’s free

the drop:

→ https://t.co/BT3KZxmYyr (51,000+ AI tools · 9,000+ companies)

the index itself: every AI app you can pick from, the list of wrappers worth looking inside

→ https://t.co/vdgen28Snt (143.9k ★ · 34.8k forks)

system prompts, internal tools and model info from Cursor, Claude Code, Devin, Windsurf, Replit, Lovable and Perplexity

→ https://t.co/O0ObdQ4aHC (62.7k ★ · 10.3k forks)

publicly extracted prompts from Anthropic, OpenAI, Google, xAI, Microsoft, Perplexity, Meta, Mistral, DeepSeek and Cursor

→ https://t.co/9ui6DbhV4f (51.6k ★ · 10.5k forks)

extracted instructions of ChatGPT, Claude, Gemini, Grok and Perplexity

→ https://t.co/JbRFIkHf3C (15.0k ★ · 2.1k forks)

a collection of leaked system prompts from widely used AI services

→ https://t.co/GMOhgq4Hn1 (116 prompts · 33 companies)

the same kind of collection, readable in your browser

→ https://t.co/UL0y9B8N2z

the formula:

pick an AI tool you pay for → read its public prompt → let REA show what it really calls → rebuild it or stop paying

[cabbit @cabbitar]

https://t.co/2oFVqFovd6

[Kiro @0xk7ro]

holy f*ck, someone put an entire reverse engineering degree on GitHub for free

7 repos, 560k+ stars, and in the right order they take you from a raw binary to agents that reverse engineer anything

each repo is the next layer of the one before

1. Ghidra -> how to read any binary
the NSA’s software reverse engineering framework, where everyone starts

↳ https://t.co/btIw0LTICO

2. radare2 -> the same skill in the terminal
a UNIX-like reverse engineering framework and command-line toolset

↳ https://t.co/m55WYsCkIo

3. LLM4Decompile -> an LLM that decompiles
turns binary code into readable C, and the 9B v2 model reaches 64.9% re-executability on its own benchmark

↳ https://t.co/rrNesi297K

4. r2ai -> an LLM inside radare2
LLM-based reversing for radare2, the moment AI starts reading the binary with you

↳ https://t.co/dotKnElepa

5. ida-pro-mcp -> let the agent drive the tool
bridges IDA Pro to language models through MCP

↳ https://t.co/3wC3Fy19Qk

6. reverse-engineering-assistant -> the same for Ghidra
an MCP server for reverse engineering tasks in Ghidra

↳ https://t.co/PacAJC4f0t

7. REA -> agents that reverse engineer anything
35 target types, from native binaries and APKs to firmware, websites and Electron apps, with every finding backed by evidence

↳ https://t.co/8PBG7K6F7o

work through them in this order and you can hand an old app, a binary or a firmware image to an agent and get evidence back

the full list of what REA can reverse engineer below ↓

[Nik Samokhvalov @samokhvalov]

pg_dump + pg_restore finished. Exit code 0. Row counts match.

Your database is not ready yet.

One query, 250M rows, Postgres 18.6, cold cache:

→ right after pg_restore: 32.6 s
→ after ANALYZE: 6.1 s
→ after VACUUM ANALYZE: 23 ms 💥

Same data. ~1,400× faster.

A logical dump does not carry the visibility map, and by default not the planner statistics.

25 of 28 migration guides we checked don't say to run VACUUM after the load.

Before traffic:
vacuumdb --analyze --jobs 4
then ANALYZE each partitioned parent

All tests are reproducible, and the scripts are in the post (bonus: podcast episode) 👇

[Beaver @Beaver_0x]

this is getting f*cking dangerous...

REA creator just dropped 20 GitHub repos to build a f*cking reverse engineering studio:

[01] analysis core
> REA: a single MCP that plugs into everything https://t.co/FroR9REhs6
> Ghidra: decompiler, free https://t.co/zpZpjM35ek…
> GhidraMCP: lets your agent drive Ghidra https://t.co/Q0py6LzfRE…
> ida-pro-mcp: hooks your agent into IDA Pro https://t.co/LGNYwjiaJG…

[02] mobile & apps
> jadx: turns Android APKs back into Java https://t.co/ZSmeMtmGoo
> Apktool: take APKs apart and put them back together https://t.co/gsTw4WxTjC…
> Frida: hook into apps while they run https://t.co/HodqBm2s8u
> ILSpy: decompiles .NET https://t.co/7dgZqSuCh0…

[03] binary & low-level
> radare2: RE framework that lives in your terminal https://t.co/WXHqHizq0P…
> x64dbg: debugger for Windows https://t.co/pq1Kjo4tZD
> ImHex: hex editor with its own pattern language https://t.co/uCOgLoceff
> angr: symbolic execution engine https://t.co/O8T99j4NPd

[04] network & runtime
> mitmproxy: sits in the middle and reads the traffic https://t.co/GNQWddsarF…
> dnSpy: debug and edit .NET apps https://t.co/xtpzpKA6PG
> rizin: the radare2 fork https://t.co/MOAXdxbf5h
> raddebugger: the debugger from Epic Games https://t.co/sEUHVD9Ojd…

[05] rebuild & verify
> awesome-ai-reverse-engineering: 122 repos, every one graded https://t.co/BtDM8f2EOL…
> awesome-reverse-engineering: curated by the guy who made REA https://t.co/5Wg8n96ZgR…
> REA workflows: ready-made investigation prompts, ship with REA
> clean-room loop: SPEC.md, oracles and checks until it matches

how it runs: binary -> REA -> SPEC.md -> rebuild -> oracle -> retry

save this, point it at any app and watch it explain itself.

[OrcaRouter 🐳 @OrcaRouter]

We're open-sourcing our OrcaCyber DeepSeek V4.1 Flash 1017 (Abliterated GGUF) weights — one of the strongest uncensored/abliterated DeepSeek V4.1 weights we've tested, with virtually no capability loss.

- 91.5% fewer refusals
- 92% MMLU vs. 91% original (slight improvement)
- Runs locally on 128GB or 256GB configurations

Run it on your own infrastructure. No cloud required.

Cyber Tier API: https://t.co/NaiuIPGT4F
Huggingface: https://t.co/nCViRtbw55

[Qiusheng Wu @giswqs]

RustGIS v0.4.0 is here!

RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script.

This release lets you tilt the map over terrain, reads File Geodatabases and live SQL databases without GDAL, and adds vertex editing, spatial join, kriging and publication-ready layouts. It brings together 369 pull requests from 29 contributors, 24 of them contributing for the first time. Thank you to everyone who helped!

What's new in v0.4.0

- 3D-style maps: turn and tilt the map, drape it over terrain, stand buildings up on the GPU, and map the Moon and Mars.
- More data: Esri File Geodatabases without GDAL, live MySQL, MariaDB and SQL Server tables, QGIS projects and a large catalog of public web data.
- Time and data cubes: a time slider, point time-series charts, and trend maps with Sen's slope and Mann-Kendall.
- Editing and analysis: vertex editing with snapping, spatial join, zonal statistics, kriging, geodesic buffers and lasso selection.
- Cartography: label classes with SQL queries, curved line labels, more classification methods and dashed, stacked strokes.
- Layouts: publication sheets and figures in one command, shapes, guides and snapping, and SVG export.
- AI agents: skills, subagents and MCP over HTTP, with an audit log and undo for every agent step.

Try it out

- Launch the web app: https://t.co/BLtOaf6BoO
- Download: https://t.co/BoF4bkGM5a
- Documentation: https://t.co/PhsUZVbpeq
- GitHub: https://t.co/K7asDzveEr
- Release notes: https://t.co/hM97XGv24j

#GIS #Rust #OpenSource #Geospatial #Cartography #3D #RemoteSensing

[Christopher Burns @BurnedChris]

Introducing c15t v3

The open standard for cookie banners

✦ Set up c15t in my app: https://t.co/ZPd89NoSqp

→ Open source
→ 8 frameworks and a script tag
→ Banner in the server HTML
→ 34 policy presets, GPC and GPP built in

[huangserva @servasyy_ai]

我艹，还有这样玩的？

赶紧去下这个LoRA试试：https://t.co/P8jLnjKUxh

[Elia @eliakuratli]

A Kanban board component every app needs

// 012/365 ▰▱▱▱▱▱▱▱▱▱

https://t.co/PAj2XcPYIF

[Qiusheng Wu @giswqs]

GeoLibre v3.4.0 is here!

GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private.

This release brings object-based image analysis, spaceborne LiDAR from ICESat-2 and GEDI, and turn-by-turn navigation with voice guidance.

What's new in v3.4.0
- Object-Based Image Analysis: segment imagery into objects, classify them with a random forest, rules, or fuzzy rulesets, assess accuracy, and import your eCognition rule sets.
- ICESat-2 and GEDI: open spaceborne LiDAR footprints and photons right in the browser and draw along-track profiles.
- NASA Earthaccess: search NASA's CMR for granules over your map view and download them with your Earthdata Login.
- Dynamical weather data: browse forecast and analysis datasets and chart a variable's time series at any point.
- Turn-by-turn navigation: plan a drive, bike, or walk route and follow it with spoken directions and automatic rerouting.
- ArcGIS editing, all the way: sign in with ArcGIS, edit with domains and subtypes, manage attachments and related records, and view the map in Spilhaus and other projections.
- More on the 3D globe: plugin panels, LAS/LAZ/EPT/COPC point clouds, and Street View now run on Cesium.

Try it out
- Launch GeoLibre Web: https://t.co/8gMtkVtfnm
- GitHub: https://t.co/VXq8c1o2Nd
- Documentation: https://t.co/7VA2AQoCUc
- Release notes: https://t.co/rZg4H0wy4x

#GIS #Geospatial #OpenSource #RemoteSensing #LiDAR #GeoLibre

[Simplifying AI @simplifyinAI]

the cybersecurity industry is completely disrupted.. 💀

someone really open-sourced a fully autonomous AI Red Team.

it’s called PentAGI. multiple AI agents that talk to each other to hack a target. zero human input.

100% open-source.

[Qiusheng Wu @giswqs]

Introducing RustGIS v0.1.0, the first release!

RustGIS is a fast, free and open-source GIS in pure Rust for mapping, analyzing and sharing geospatial data. It runs natively on Windows, macOS and Linux, and in your web browser. Your data stays on your machine unless you send it to an AI model you choose, and every action is a command you can script.

This first release brings a full desktop GIS with a familiar ribbon, over 1,000 geoprocessing tools, and an AI Assistant that works the map for you.

What it does

- Your data, any map: GeoJSON, CSV, Shapefile, GeoParquet, Flatgeobuf, PMTiles, GeoTIFF and COG, web tiles, vector tiles and MapLibre styles, on a 3D globe or in any projection.
- Cartography and layouts: thematic symbology, collision-free labels, page layouts, map series, PDF export, reports and presentations.
- Analysis: overlay and proximity tools, guided workflows, ModelBuilder, and 1,000+ GeoLibre and Whitebox tools for terrain, hydrology and LiDAR, even in the browser.
- Editing: snapping, templates, domains and attribute rules, with undo for every change.
- AI Assistant: ask questions or give instructions in plain language, using the model you choose (Anthropic, OpenAI, Gemini, Ollama and more).
- Scriptable and extensible: run any command from the command line, and add tools with sandboxed WebAssembly plugins.
- Ready to install: Windows installers, a signed macOS app, Linux .deb, .rpm and AppImage, and 15 interface languages.

Try it out

- Launch the web app: https://t.co/BLtOaf6BoO
- Download: https://t.co/BoF4bkGM5a
- Documentation: https://t.co/PhsUZVbpeq
- GitHub: https://t.co/K7asDzveEr
- Release notes: https://t.co/13A0PIwXMd

#GIS #Rust #OpenSource #Geospatial #RemoteSensing #AI

[Mr. Buzzoni @Mr_Buzzoni]

https://t.co/SxHnsCMK6g

[Gauri Tripathi @GauriTripa94282]

SDLC → ADLC

Software development is shifting from human handoffs to agent-driven execution.

① Capture intent
② Design with agents
③ Build with context + skills
④ Continuous evals
⑤ Review gates
⑥ Production signals

The shift: AI is reshaping how software gets built.
#AI

[Akshay 🚀 @akshay_pachaar]

Redis built a cache that cuts LLM costs by 70%!

Production LLM apps often receive different versions of the same question.

For instance, an internal developer assistant might receive:

- "How do I rotate an API key?"
- "Where can I replace my API key?"

The wording is different, but both questions have the same answer.

Prefix caching cannot handle this repeated generation because it only reuses computation when the cache matches bit-by-bit.

And if the cache hits, an LLM response is still generated again.

A semantic cache stores the complete question-response pair outside the model.

When a query arrives, it searches for previously answered questions with similar meaning. A valid match returns the stored response with no LLM call.

If you want to use this in practice, @Redisinc already implements it as a managed service called Redis LangCache.

Under the hood, LangCache embeds the incoming question, searches stored responses, and applies the configured similarity threshold and filters.

A cache hit returns the earlier response. A miss falls back to the LLM, after which the new response can be stored for future requests.

Redis also handles access scopes, custom filters, embedding selection, TTL, eviction, and monitoring through a REST API, without another database to deploy or manage.

While the actual savings depend on how much safe repetition exists in the workload, cache-hit responses are up to 15x faster and 70% cheaper.

Try Redis LangCache: https://t.co/skX4qnZaGT

I built a small interface comparing LangCache with direct LLM inference. The video below shows this in action, and I worked with Redis on this post to put it together.

To dive deeper, my co-founder published a detailed article on KV, prefix, prompt, and semantic caching.

Read it below.

[Avi Chawla @_avichawla]

https://t.co/sLoULsUfEt

[Kailash @kail_designs]

Make your UI look better instantly with these skills

1. frontend-design
https://t.co/Di4HsGzQIv

2. apple-design
https://t.co/8mk3tWJVTg

3. beautiful-shadows
https://t.co/EMSz0Y8pH9

4. accessibility
https://t.co/7lGDWYDS8L

5. design-review
https://t.co/OXuOj5Vyh4

6. emil-design-eng
https://t.co/bdbuOABzGl

7. shadcn
https://t.co/VUAadmUQpH

8. adapt
https://t.co/YCbm6QnBDK

9. better-interface
https://t.co/CtFApgAsFE

10. interaction-design
https://t.co/NynDF3tcgv