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introducing - a macOS app for X ◈ DMs & notifications ◈ mark DMs as unread ◈ add favorites ◈ add nicknames/notes for ppl ◈ tweet from menu bar ◈ browse timeline (5 min every hr) ◈ multiple accounts ◈ native embeds, no API usage

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44,260 Aufrufe • vor 7 Monaten •via X (Twitter)

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DFIR analysts who use macOS as their daily driver deserve free and native forensic tooling. So I built one. 🍎 Introducing 𝗜𝗥𝗙𝗹𝗼𝘄 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲 — a timeline analysis app built from the ground up for Mac-based DFIR folks, forensic investigators, or SOC analysts. Built in appreciation of, and inspired by, Eric Zimmerman’s Timeline Explorer. Every feature in this tool was shaped by real IR casework. Handling massive timelines, parsing artifacts here and there, and pivoting across logs during active investigations. I built IRFlow Timeline to be the native macOS timeline analyzer that actually keeps up with a live case. Every button and view is intentional; if it’s in the app, it’s because I needed it mid-case and realized the standard tools fell short. No dependencies. Zero setup. Just drag, drop, and analyze. #dfir #incidentresponse #timeline #macos #threathunitng #digitalforensics

DFIR analysts who use macOS as their daily driver deserve free and native forensic tooling. So I built one. 🍎 Introducing 𝗜𝗥𝗙𝗹𝗼𝘄 𝗧𝗶𝗺𝗲𝗹𝗶𝗻𝗲 — a timeline analysis app built from the ground up for Mac-based DFIR folks, forensic investigators, or SOC analysts. Built in appreciation of, and inspired by, Eric Zimmerman’s Timeline Explorer. Every feature in this tool was shaped by real IR casework. Handling massive timelines, parsing artifacts here and there, and pivoting across logs during active investigations. I built IRFlow Timeline to be the native macOS timeline analyzer that actually keeps up with a live case. Every button and view is intentional; if it’s in the app, it’s because I needed it mid-case and realized the standard tools fell short. No dependencies. Zero setup. Just drag, drop, and analyze. #dfir #incidentresponse #timeline #macos #threathunitng #digitalforensics

Renzon

40,937 Aufrufe • vor 5 Monaten

CleanShot X is great. The subscription isn't. So I rebuilt BetterShot from the ground up native Swift, zero web views, zero tauri. BetterShot now runs natively on macOS, powered by Swift 6 + SwiftUI. Here's what you get for free, forever: - Region, fullscreen & window capture - Beautiful backgrounds gradients, solids, macOS wallpapers, custom images - Annotations arrows, shapes, text, blur, spotlight, numbered badges - OCR text extraction + QR/barcode scanning - Color picker - Pin screenshots as floating windows - Self-timer with countdown overlay - Capture history - In-app updates - Lives in your menu bar. No Dock clutter. Local-first. No cloud. No telemetry. No subscription. Open source → Try it →

CleanShot X is great. The subscription isn't. So I rebuilt BetterShot from the ground up native Swift, zero web views, zero tauri. BetterShot now runs natively on macOS, powered by Swift 6 + SwiftUI. Here's what you get for free, forever: - Region, fullscreen & window capture - Beautiful backgrounds gradients, solids, macOS wallpapers, custom images - Annotations arrows, shapes, text, blur, spotlight, numbered badges - OCR text extraction + QR/barcode scanning - Color picker - Pin screenshots as floating windows - Self-timer with countdown overlay - Capture history - In-app updates - Lives in your menu bar. No Dock clutter. Local-first. No cloud. No telemetry. No subscription. Open source → Try it →

Kartik

84,630 Aufrufe • vor 1 Monat

Zeity for macOS is live 🦉✨ 9am standup - lagos, berlin, são paulo. i'm doing timezone math in my head before i've even opened slack. That's been the last few years of remote work for me, quietly tracking when teammates are awake, asleep, eating lunch, signing off. The Chrome extension i built (Zeity v1) helped, but it was always one tab away from being ignored. So i ported it to the Mac and rewrote the whole thing in Swift. Zeity for Mac lives in your menu bar — your friends' and teammates' local times always one click away. No new tabs, no calendar plugins, no math. What's in it 👇🏽: - Search timezones by city or local place, not just timezone names (Apple's native APIs do the heavy lifting) - Native widgets: Clock, Friends, Timezones - Launch at login, runs quietly, low cpu usage (near 0) - AppleScript support for the automation lovers - One-click in-app updates → Download: → Not on a Mac? Zeity also lives as a Chrome extension, works on any OS → A simple solution I needed, now for everyone.

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P!

16,668 Aufrufe • vor 3 Monaten

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.1 is out! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release builds on the v1.0 foundation with features that make day-to-day mapping smoother: - Attribute table management — rename, delete, hide/show, and reorder fields right in the table, with the layout saved to your project. - Data-driven symbology for Add Vector Layer — single, categorized, graduated, and expression-based styling now applies to maplibre-gl-vector layers. - Atmosphere Effects plugin — a deep-space backdrop, parallax starfield, comets, and a glowing globe halo at low zoom (toggle it from the Controls menu). - Layer panel upgrades — rename layers, open the attribute table, and export straight from the layer actions menu. - Auto Refresh extended to Add Vector Layer URL layers. - In-browser GeoPandas via Pyodide — run the vector tools with no Python sidecar, same results. - Plugin API — external plugins can now render on the host's shared instance via app.getDeckGL(). Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

20,833 Aufrufe • vor 1 Monat

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Riley Brown

128,580 Aufrufe • vor 1 Jahr

GeoLibre v2.4.0 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 is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre

GeoLibre v2.4.0 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 is about reaching more data and moving through it: new browsers for STAC, NASA Earthdata, and Hugging Face, a flight simulator, a Time Slider that animates tiled data and data cubes, and a live API for pages that embed the map. What's new in v2.4.0 - STAC catalogs browser: discover public catalogs from STAC Index, connect to static catalogs and STAC APIs, search a collection's items, and add any visualizable asset to the map. No more copying COG URLs by hand. - Earthdata GIS browser: search NASA's Earthdata GIS portal and add its imagery, map, and feature services, and its published web maps, as first-class layers. - Hugging Face on the map: search the Hub, walk a dataset repo's folders, and add its vector and raster files. You can create a dataset repo and upload layers to it too. - Flight Simulator: steer a continuous free-flight camera over terrain and 3D layers from the keyboard, instead of declaring a destination and watching a scripted flight. - Time Slider for tiled data and data cubes: bind vector tiles, PMTiles, and MBTiles to the timeline and animate them over their full extent, and let a Zarr store's own time dimension join the shared timeline. - Zarr gets a real Add Data path: open a remote store or a folder on disk, and pick variables and dimensions by their actual coordinate values rather than raw indices. - Live embed API: a versioned postMessage protocol so a host page can load a project, move the camera, highlight features, and open a tool at runtime, with events coming back out. - OGC API - Features: add collections as vector layers from whatever URL you have in hand, whether that is a landing page, /collections, or a full items URL. - H3 everywhere: a new hexagonal grid plugin that renders and inspects H3 cells and exports them as GeoJSON or CSV, plus typing an H3 index into the search box to fly straight to that cell. - Jupyter from outside the app: attach VS Code's Jupyter extension or jupyter console to the desktop app's server and your notebook cells drive the map. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #GeoLibre

Qiusheng Wu

13,214 Aufrufe • vor 3 Tagen

introducing AlphaClaw Apex 🐺 a native Mac app for managing multiple OpenClaw VPS instances from one dashboard. some of you are already setting up OpenClaw for clients as a service. Apex is built for you. deploy to Hetzner VPS in one click. monitor all your instances. manage configs, updates, spend, and health from a single UI. no SSH needed. everything you know from AlphaClaw, now across a fleet: 📅 Google Workspace OAuth & pubsub wizard ⏱️ Cron calendar view and cost-saving insights 🖥️ Remote node setup wizard 🔄 Auto-backup to GitHub 📊 Token usage & cost analytics built in 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser, editor, and terminal no SSH needed 🐕 Per-instance watchdog and crash recovery 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub if you're thinking about offering managed OpenClaw as a service, this is the ops layer you've been missing.

introducing AlphaClaw Apex 🐺 a native Mac app for managing multiple OpenClaw VPS instances from one dashboard. some of you are already setting up OpenClaw for clients as a service. Apex is built for you. deploy to Hetzner VPS in one click. monitor all your instances. manage configs, updates, spend, and health from a single UI. no SSH needed. everything you know from AlphaClaw, now across a fleet: 📅 Google Workspace OAuth & pubsub wizard ⏱️ Cron calendar view and cost-saving insights 🖥️ Remote node setup wizard 🔄 Auto-backup to GitHub 📊 Token usage & cost analytics built in 🧱 Prompt hardening reduces agent drift 🩺 Drift Doctor analyzes your prompts and workspace for drift 💬 Telegram multi-topic workspace setup wizard 📂 Full file browser, editor, and terminal no SSH needed 🐕 Per-instance watchdog and crash recovery 🛠️ Manage env vars from the UI 🔑 Manage model keys & OAuth visually 🪝 Webhook creator & inspector with replay & debug ⬆️ One-click updates, no redeploy needed 📦 Import existing setup from GitHub if you're thinking about offering managed OpenClaw as a service, this is the ops layer you've been missing.

Chrys Bader

67,522 Aufrufe • vor 4 Monaten

Alright, can’t hold off any longer so here goes: The overwhelming majority of scouting on this app has been done via sharing radars, plots, and other stats viz apps (which I think are great) but lack a community aspect around really assessing all of these players. So I’m introducing ScoutSociety. Think Letterboxd for scouting. A social network for player assessment that also acts as a personal (or public if you choose to share) scouting notebook. Write reports. Rate players. Follow Scouts. Built around the idea that fans deserve a place to note what they’re seeing about a player, as opposed to immediately deferring to what the stats say. Your eye, documented. → 29k+ players across 76 competitions → full scouting reports with position-specific attribute ratings → per-match reviews separate from overall reports → community rating histogram per player → quick tags + position votes without writing a full report → watchlist that syncs to real match lineups → lineup builder with visual pitch layout → follow scouts, like + repost reports → scout profiles — your public scouting CV → discover + filter by position, age, nationality, club, tag → external links to Transfermarkt, WhoScored, YouTube & X per player → attach video clips and images to reports → public, followers-only, or private visibility per report → works as an app on your phone — no download needed Access via desktop or mobile browser or native app: iPhone: Safari > Share Button > Add to Home Screen Android: Browser > Menu > Add to Home Screen

Alright, can’t hold off any longer so here goes: The overwhelming majority of scouting on this app has been done via sharing radars, plots, and other stats viz apps (which I think are great) but lack a community aspect around really assessing all of these players. So I’m introducing ScoutSociety. Think Letterboxd for scouting. A social network for player assessment that also acts as a personal (or public if you choose to share) scouting notebook. Write reports. Rate players. Follow Scouts. Built around the idea that fans deserve a place to note what they’re seeing about a player, as opposed to immediately deferring to what the stats say. Your eye, documented. → 29k+ players across 76 competitions → full scouting reports with position-specific attribute ratings → per-match reviews separate from overall reports → community rating histogram per player → quick tags + position votes without writing a full report → watchlist that syncs to real match lineups → lineup builder with visual pitch layout → follow scouts, like + repost reports → scout profiles — your public scouting CV → discover + filter by position, age, nationality, club, tag → external links to Transfermarkt, WhoScored, YouTube & X per player → attach video clips and images to reports → public, followers-only, or private visibility per report → works as an app on your phone — no download needed Access via desktop or mobile browser or native app: iPhone: Safari > Share Button > Add to Home Screen Android: Browser > Menu > Add to Home Screen

Alessandro Raffa ⭐️⭐️🖤💙

103,140 Aufrufe • vor 3 Monaten

📱 iPhone 17 Giveaway 📱 To celebrate our mobile app launching, we’re giving away an iPhone 17. backstory about the way we designed this Mobile app. For the last years, we’ve heard again and again that our users wanted folk to go Mobile. But it didn’t felt right to simply replicate the product and all its features on Mobile. Desktop and Mobile are completely different contexts. Our desktop version is built for productivity. We designed the interface to be simple and lightweight so not to overwhelm you, but with condensed information so you can have a high level view of what’s going on in your CRM. We’ve built it for bulk actions so can get through your tasks in reduced time. It’s the perfect companion for deep, focused work. Mobile is different. You check your mobile when you’re on the go. Heading into the office, between client meetings, traveling for work, or simply off and far from your screens. And salespeople are often far from their desktop. Sales is about connecting, go meet your prospects on the fields, engage with them, shake hands. These moments are precious, that’s where trust is built. To shine during these moments, it’s about the little things. Remembering your prospect’ daughter’ name. Making sure action points discussed in the meeting are well passed to the team. Ensuring you actually reach out to the lead you met at that conference, as you promised. We wanted to design the perfect companion for that. Contacts by folk is built as a contacts app that shows all your contacts from folk CRM. But designed to give you context and let you capture more context. - Sync contacts from multiple places - your emails, LinkedIn, calendar, WhatsApp, or any contact you add in the CRM - Add new contacts easily, including with business card scanning - Search contacts smartly - you can search by name, but also company, job title or even through your notes - Add notes on the go, mention your teammates, and even record notes with voice-to-text - View past notes and past interactions before a meeting across all your channels Think the native Contacts app, reinvented for today. Want to win? Comment “CONTACTS” below 👇👇👇 We’ll randomly pick 1 winner ◾ 1x iPhone 17 ◾ 1 year of folk CRM ⚠️ Get a second entry if you repost!

📱 iPhone 17 Giveaway 📱 To celebrate our mobile app launching, we’re giving away an iPhone 17. backstory about the way we designed this Mobile app. For the last years, we’ve heard again and again that our users wanted folk to go Mobile. But it didn’t felt right to simply replicate the product and all its features on Mobile. Desktop and Mobile are completely different contexts. Our desktop version is built for productivity. We designed the interface to be simple and lightweight so not to overwhelm you, but with condensed information so you can have a high level view of what’s going on in your CRM. We’ve built it for bulk actions so can get through your tasks in reduced time. It’s the perfect companion for deep, focused work. Mobile is different. You check your mobile when you’re on the go. Heading into the office, between client meetings, traveling for work, or simply off and far from your screens. And salespeople are often far from their desktop. Sales is about connecting, go meet your prospects on the fields, engage with them, shake hands. These moments are precious, that’s where trust is built. To shine during these moments, it’s about the little things. Remembering your prospect’ daughter’ name. Making sure action points discussed in the meeting are well passed to the team. Ensuring you actually reach out to the lead you met at that conference, as you promised. We wanted to design the perfect companion for that. Contacts by folk is built as a contacts app that shows all your contacts from folk CRM. But designed to give you context and let you capture more context. - Sync contacts from multiple places - your emails, LinkedIn, calendar, WhatsApp, or any contact you add in the CRM - Add new contacts easily, including with business card scanning - Search contacts smartly - you can search by name, but also company, job title or even through your notes - Add notes on the go, mention your teammates, and even record notes with voice-to-text - View past notes and past interactions before a meeting across all your channels Think the native Contacts app, reinvented for today. Want to win? Comment “CONTACTS” below 👇👇👇 We’ll randomly pick 1 winner ◾ 1x iPhone 17 ◾ 1 year of folk CRM ⚠️ Get a second entry if you repost!

Simo Lemhandez

51,097 Aufrufe • vor 16 Tagen

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

GeoLibre v1.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 50+ pull requests of new capabilities. A few highlights: - GIS in your pocket. A native Android build with offline tile caching and download-a-region support, so you can take your maps into the field with no signal. - AI, built in. A natural-language GIS assistant that turns plain-English requests into real geoprocessing, plus an AI segmentation toolbox powered by SamGeo and SAM 3 for extracting features from imagery. - Automate everything with Python. A full scripting API and an in-app Python Console, with new helpers for local rasters, choropleths, marker clusters, split-map comparisons, legends, and colorbars. - Map together, live. Real-time multi-user collaboration so you can open a project and edit the map with others at the same time. - Tell stories with maps. A scroll-driven story map builder and presenter that exports interactive narrative maps to standalone HTML. - A much bigger analysis toolbox. Reproject, explode, and aggregate tools, IDW and kriging interpolation, zonal statistics, a raster calculator, a Spatial Statistics toolbox, and network analysis with isochrones, service areas, and OD cost matrices, plus batch runs and model/pipeline chaining. - Smarter raster and SQL. Single-band pseudocolor classification, RGB band combinations, a no-backend client-side raster fallback, Apache Sedona as a SQL Workspace engine, and transparent S3, GCS, and Azure URL support in queries. - More ways to add, view, and share. New Shapefile and GeoPackage export, glTF/GLB 3D model layers, multi-provider batch and reverse geocoding, collapsible layer groups, and a macOS Homebrew cask. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #Android #GeoLibre

Qiusheng Wu

18,075 Aufrufe • vor 1 Monat

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,959 Aufrufe • vor 1 Monat

We’re excited to introduce AgentAuth—the comprehensive auth solution designed for AI agents! We understand the pain every developer experiences regarding authentication—managing OAuth flows for Gmail, handling API keys for Linear, or setting up permissions across multiple services. It's complex enough with traditional apps. However, AI agents add an extra layer of complexity. Traditional auth solutions were not designed with this agent-specific requirement in mind. Think about it—say you're building an agent to pull data from Salesforce, send updates through Slack, and log issues in GitHub. Each service requires different authentication—OAuth2, API keys, you name it—and your agent needs to work seamlessly on your users' behalf. Building and managing all that is a massive headache, right? That’s precisely where AgentAuth by comes in. • It supports 250+ apps across categories such as CRMs, ticketing, productivity, etc. • Compatible with 15+ Agentic Frameworks, including , LlamaIndex 🦙, CrewAI etc • Offers self-hosting and white-labeling options. • Provides a unified dashboard to monitor user accounts. It takes care of all the complex authentication flows—OAuth, API Key, Basic, JWT, token refresh, and more—in the backend, so you can focus on building what truly matters for your users. This is ideal for AI developers building real-world AI automation involving multiple application interactions. Check out AgentAuth now -

We’re excited to introduce AgentAuth—the comprehensive auth solution designed for AI agents! We understand the pain every developer experiences regarding authentication—managing OAuth flows for Gmail, handling API keys for Linear, or setting up permissions across multiple services. It's complex enough with traditional apps. However, AI agents add an extra layer of complexity. Traditional auth solutions were not designed with this agent-specific requirement in mind. Think about it—say you're building an agent to pull data from Salesforce, send updates through Slack, and log issues in GitHub. Each service requires different authentication—OAuth2, API keys, you name it—and your agent needs to work seamlessly on your users' behalf. Building and managing all that is a massive headache, right? That’s precisely where AgentAuth by comes in. • It supports 250+ apps across categories such as CRMs, ticketing, productivity, etc. • Compatible with 15+ Agentic Frameworks, including , LlamaIndex 🦙, CrewAI etc • Offers self-hosting and white-labeling options. • Provides a unified dashboard to monitor user accounts. It takes care of all the complex authentication flows—OAuth, API Key, Basic, JWT, token refresh, and more—in the backend, so you can focus on building what truly matters for your users. This is ideal for AI developers building real-world AI automation involving multiple application interactions. Check out AgentAuth now -

Karan Vaidya

110,979 Aufrufe • vor 1 Jahr

GeoLibre v2.1 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 adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

GeoLibre v2.1 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 adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

11,627 Aufrufe • vor 18 Tagen

Today is our biggest product launch yet. Announcing Warp Fabric. The first AI-native employee management platform with IT built in. Warp Fabric is Warp's IT product suite, built natively inside the same platform that runs your payroll, onboarding, and HRIS. No manual checklists. No third party dashboards. Setup that takes 10 minutes. Warp Fabric has three products: Google Workspace automation: accounts created on hire, suspended on termination, files transferred, sessions killed. App provisioning: every app your new hire needs ready before day one, access revoked the moment they leave, across 6,500+ apps. Warp Device Agent (MDM): continuous device monitoring, policies enforced on every connection, built in Rust, SOC 2 compliant out of the box, macOS and Windows on the same codebase from day one. You hire someone in Warp, every account, every app, every device is handled. You terminate someone, everything stops. Every competitor either bolts IT onto their HRIS through integrations, or resells a third-party tool under their own brand. We built ours differently. IT is not a separate system that receives signals from HR. It is one more thing the employee context graph handles automatically. AI-native architecture means the system understands employment events and acts on them. It does not wait for configured rules to fire in sequence. When someone is hired, provisioning is not triggered: it happens, as part of the same operation. Security incidents are rising. Auditors are showing up at companies asking for device compliance evidence most teams can't produce. In Warp, every policy check, every drift event is already logged. The answer is in Warp. Not a spreadsheet. Some of our fastest growing customers are already running Warp Fabric in their most critical workflows. This is a major step in our mission to build the most powerful and delightful employee management platform for ambitious companies. And we're just getting started. Warp Fabric is available to all Warp customers today.

Ayush S

3,783,593 Aufrufe • vor 3 Monaten

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,186 Aufrufe • vor 1 Monat

I am launching my reply guy agency today: ReplyDudes by Elcara. I have been building this in stealth and made sure to nail this service before publicly announcing it. I am thrilled to announce that, we have worked w/ multiple clients and saw them regularly hit: 1) 500K relevant impressions/month 2) 4-5% engagement rate 3) 1k+ weekly profile visits. ps: Our reply dudes only drop thermonuclear W's in the timeline. DMs are open. --- FAQs 1. Why choose us? - No cookie-cutter engagement. - hyper targeted lists to help you reach only relevant people. - replies that matter. - nobody would figure out you are using us, we are ghosts. - full web3 native team. -regular reporting, so you know that you are getting a bang for your buck. - total confidentiality --- 2. Is it safe to hand over delegate access to you? Brands and creators care about the safety of their image a lot. Handing over delegate access of your X can be stressful to someone random on the internet. We stress test every reply guy to make sure each one delivers quality replies no matter what. Each reply guy has worked on our team's accounts before being sent to a client. So, yes. It's safe. --- 3. What's a reply guy? A based intern who takes over your X account and starts engaging with relevant people in your niche to help you increase your visibility. --- 4. Do you have a referral system? Yes, we do. For every client you refer us. We pay 21% revenue after we land the client and then 11% monthly till the client is with us. So, refer someone to us once, and get paid recurringly. -- 5. Do you offer a trial period? Yes, it's a straight up 3-day trial period, no questions asked. __ DM me for any questions. Would love to hear your thoughts.

Adi

81,919 Aufrufe • vor 1 Jahr

Fresh HUGE update of Sl8 apps is available in App Store and Google Play 😍 Patch Notes - Fixed avatar disappearing when editing profile data - Added support for YouTube links in the main image carousel - Fixed auto-triggering translation in feed without user interaction - Fixed missing or untappable “Add Asset” button in the asset info modal - Wallet balance now refreshes automatically after token exchange - Fixed staking entries showing under “Active” even after completion - Fixed and refactored authorization requests - Fixed corrupted post/comment data in certain cases - Fixed issue where users were logged out after app restart when biometrics were disabled - Fixed deeplink handling issues - Improved cropping and preview logic for profile cover image - Added comment flag to API to mark when a user comments under their own post Also, Search Fixes: - Improved input handling: search now waits for user to finish typing before executing - Fixed issue (“Something went wrong”) during search with no way to recover - Fixed “Something went wrong” error when scrolling through search results Sl8 Wallet updated as well: - USD value for assets is now displaying correctly - Transaction history is now available, finally - There is now a calendar of payments by stakings. Each steakings has a payment schedule and additional information. - Live balances, equivalents and exchange rates updates - Now you can add/remove assets, see recommended assets and have an ability to search* by domain/name of asset - Now you can add wallet address to address book, while sending funds - 24h trend markers and asset exchange rate are now visible nearby each asset - Now you can see extended staking information - Also, rewards schedule with transaction links and statuses now available Stay with us, buckle up))

Cassator Corp.

19,019 Aufrufe • vor 1 Jahr

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

My agent is now paying for its own data. No API key. No account. No credit card. Check the video I recorded. This uses the x402 open protocol built by Coinbase, along with a simple skill. This is an open protocol governed by the Linux Foundation. To complete a goal, an agent can now search for an actor on the Apify Store, pay for it, and use it without any human intervention. The way it works is pretty simple: 1. Your agent finds an Actor it wants to use 2. It sends a request 3. The Actor sends back an HTTP 402 "Payment Required" response 4. Agent authorizes payment from a wallet in USDC on Base 5. The Actor runs 6. User receives the result The model is pay-as-you-go: the agent authorizes a spending ceiling, pays only for usage, and the remaining balance is automatically settled. This brings an entire marketplace of AI tools into the agentic economy. Here is the skill you need. Add it to your agent, and it will take care of everything for you: If you want to know how this works, including what you can do with $1, read this post: Thanks to the Apify team for partnering with me on this post.

Santiago

26,589 Aufrufe • vor 1 Monat

GeoLibre v1.5.0 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 lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

GeoLibre v1.5.0 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 lands 90+ merged pull requests and resolves 90+ issues, adding a dashboard of chart widgets, customizable UI profiles, a saved library of web services, and an in-browser Whitebox raster engine. What's new in v1.5.0 - Dashboard panel: Build a collapsible panel of chart widgets (histogram, scatter, bar, line, box) next to the map. - Customizable UI profiles: Tailor the menus and filter the data sources you see, so the workspace matches your workflow. - Saved service library: Save and reuse your favorite web-service layers (XYZ, WMS, WFS) instead of re-entering URLs. - Whitebox in the browser: Run Whitebox raster tools fully client-side through a WASM runtime, no Python sidecar required. - View menu and viewport history: Step backward and forward through your recent map views from a new View menu. - A more beautiful globe: Add a spinning globe, customize the atmosphere halo and deep-space colors, and reset pitch and bearing with a rotation indicator. - More basemaps: New Protomaps basemaps and support for stacking multiple raster basemaps. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

41,445 Aufrufe • vor 1 Monat

Crazy... I just found a super cheap way to code with AI Tried GLM 4.5 on Claude Code and I’m really impressed! Prompt: “create an interactive python app where users can track, manage or analyze data” And, It came up with: • Dashboard - a clean interface to see all your data at a glance • Datasets - manage multiple collections of data easily • Data entries - add, edit, and organize your records without hassle • Analysis - get insights and summaries directly from your data What I observed: Everything worked smoothly, GLM 4.5 is definitely one of the best open-source models for coding, I’ll keep using it. Check it out now: And the best part: super affordable coding plans! • Lite - $3/month (promo). ~120 prompts every 5 hours. Works with Claude Code, Roo Code, Cline, Kilo Code, and more. • Pro - $15/month (promo). 5× more usage than Lite. Faster. Includes image/video tools and web search. • Max - $30/month (promo). 4× more usage than Pro. Guaranteed performance. Early access to new features. Bonus - Use my referral link to get an extra 10% off on top of these promo prices! Video demo 👇

Crazy... I just found a super cheap way to code with AI Tried GLM 4.5 on Claude Code and I’m really impressed! Prompt: “create an interactive python app where users can track, manage or analyze data” And, It came up with: • Dashboard - a clean interface to see all your data at a glance • Datasets - manage multiple collections of data easily • Data entries - add, edit, and organize your records without hassle • Analysis - get insights and summaries directly from your data What I observed: Everything worked smoothly, GLM 4.5 is definitely one of the best open-source models for coding, I’ll keep using it. Check it out now: And the best part: super affordable coding plans! • Lite - $3/month (promo). ~120 prompts every 5 hours. Works with Claude Code, Roo Code, Cline, Kilo Code, and more. • Pro - $15/month (promo). 5× more usage than Lite. Faster. Includes image/video tools and web search. • Max - $30/month (promo). 4× more usage than Pro. Guaranteed performance. Early access to new features. Bonus - Use my referral link to get an extra 10% off on top of these promo prices! Video demo 👇

Chidanand Tripathi

83,854 Aufrufe • vor 10 Monaten