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More questions →How to Convert a Code Snippet into a Shareable Image with ray.so
ray.so turns a code snippet into a styled image you can export and share. Paste your code into the editor, pick a theme and window style, adjust the layout, then export the rendered result as an image. This works best for short snippets you want to post on social media, in docs, or in chat — not for long files, since the image grows with the code.
Before you start
- Have the code snippet ready to paste, and know which language it's in so the highlighting matches.
- Decide where the image will live (a post, a slide, a README). That tells you whether you want a background, a light or dark window, and how much padding.
- Keep the snippet short. A few dozen lines read well as an image; hundreds do not.
Step-by-step
1. Paste or type your code
Put the snippet into the editor. Check that the syntax highlighting matches your language — keywords, strings, and comments should be colored, not flat text. If the colors look wrong, the language isn't being detected correctly; adjust it before you style anything else, since the theme you pick later depends on it.
2. Choose a color theme
Pick from the available syntax color themes. This controls how the code itself is colored. Choose one with enough contrast that the code stays readable when the image is scaled down in a feed or a slide.
3. Toggle the window and background
- Dark or light window — switches the frame around your code between a dark and light appearance.
- Background — show or hide the colored background behind the window.
If you're posting on a light page, a light window with no background blends in; a dark window with a background stands out. Match this to where the image will appear.
4. Adjust padding, line numbers, and window controls
- Padding — the space around the code inside the frame. More padding gives a calmer, more presentable image; less padding fits more code.
- Line numbers — turn them on if you or your readers need to reference specific lines; turn them off for a cleaner look.
- Window controls — the traffic-light buttons on the frame. Keep them for a familiar editor look, or hide them for a more neutral image.
5. Export the image
Export the rendered snippet as an image and let the file download. Before you post it, open the downloaded file and check:
- The code isn't clipped at the edges.
- Highlighting is present and correct.
- The background is the one you intended (not blank or missing).
- Text is still legible at the size it will be displayed.
Common export problems and fixes
| Problem | Likely cause | Fix |
|---|---|---|
| Code is clipped at the edges | Padding too small or the snippet is too wide | Increase padding, shorten long lines, or split the snippet |
| No syntax highlighting | Language not detected or set correctly | Set the language so keywords and strings are colored |
| Blank or missing background | Background toggled off, or the export didn't finish | Toggle the background back on and re-export |
| Image looks cramped when shared | Too many lines for the frame | Trim the snippet to the essential lines |
| Colors hard to read | Low-contrast theme | Switch to a theme with stronger contrast |
When this is the right tool
Use ray.so when you want a single, self-contained image of a short snippet that looks polished without design work. Skip it when the code is long, when readers need to copy and run it (share a gist or repo instead), or when you need the code to stay searchable and accessible as text.
What Is a Tracker and How Do You Use One to Follow Flights in Real Time?
A tracker is a tool that follows the live position and status of something that moves — in aviation, that means aircraft. A flight tracker such as Flightradar24 shows air traffic in real time on a map, letting you look up a specific flight and watch its position, altitude, speed, and estimated arrival as it happens. You can use one on the web or in an app, and it works for following arrivals, checking delays, or plane spotting. The catch: coverage and extra features vary, and some capabilities sit behind a subscription.
What "tracker" means in the flight context
In general, a tracker continuously reports where a moving object is and what it is doing. A live flight tracker applies that idea to planes: instead of a single snapshot, it updates a map as aircraft move.
On a service like Flightradar24, the tracker combines two things:
- A live map of air traffic, where each aircraft appears as an icon you can select.
- A flight lookup, where you search by flight number, route, or aircraft and follow that one flight in detail.
The site describes itself as a live flight tracker showing air traffic in real time, with a focus on coverage and features. That is the core promise: current positions, not schedules.
How a flight tracker gets real-time data
A tracker is only as good as its data sources. Live flight tracking typically draws on:
- ADS-B (Automatic Dependent Surveillance–Broadcast): aircraft broadcast their position, altitude, and speed, and ground receivers pick up the signal.
- Radar data: traditional surveillance feeds supplement coverage.
- Satellite and other feeds: these extend coverage over oceans and remote areas where ground receivers are sparse.
The practical takeaway for you: coverage is not uniform. Over busy land regions you will usually see dense, frequently updating traffic; over remote or oceanic areas, positions may update less often or rely on different feeds. If a flight seems to "jump" or briefly disappear, that is usually a coverage gap, not a problem with your device.
How to follow a specific flight in real time
The workflow is the same across most live trackers, including Flightradar24:
- Open the tracker on the web or in the app.
- Search for the flight using its flight number, or find it by route or aircraft.
- Select the flight to bring up its detail view.
- Read the live data as it updates — position on the map plus the flight's current status.
- Keep it open to watch progress toward the destination and the estimated arrival.
Expected result: you see the aircraft move along its route, with numbers updating rather than a static schedule. If you searched a flight that has not departed or has already landed, you will see limited or no live movement — check the flight's status before assuming the tracker is broken.
What a flight tracker displays
When you open a flight, a live tracker typically shows:
| Field | What it tells you |
|---|---|
| Position | Where the aircraft is on the map right now |
| Altitude | How high it is flying |
| Speed | How fast it is moving |
| Route | Origin and destination |
| ETA | Estimated time of arrival |
| Status | Whether it is en route, delayed, landed, and so on |
These fields are what make a tracker useful for real decisions: you can judge whether a flight is on time, how far along it is, and roughly when it will arrive.
Common uses
- Tracking arrivals: follow a flight to see when someone will actually land, not just the scheduled time.
- Checking delays: a live status view shows whether a flight is running late.
- Plane spotting: select aircraft on the map to identify what is overhead and where it is headed.
Coverage, features, and cost
Two things shape your experience with a tracker like Flightradar24:
- Coverage determines how reliably and how often you see a given flight. Dense regions generally track better than remote ones.
- Features determine what you can do beyond basic viewing. Flightradar24 offers a premium tier with a free trial and features such as email alerts, which are subscription-based. Basic live tracking is the entry point; alerts and similar extras are where paid options come in.
If you only need to follow a flight's position and status, the free live map and lookup cover that. If you want notifications — for example, an email when a flight is approaching — that is where the subscription features apply.
Quick answers
Is a flight tracker the same as a flight schedule? No. A schedule tells you the planned times; a tracker shows where the aircraft actually is right now.
Why does a flight sometimes vanish from the map? Usually a coverage gap over remote areas or a temporary loss of signal, not an error on your end.
Can I follow any flight? You can search most flights, but what you see depends on whether the flight is active and whether coverage reaches it.
How Does Satellite Tracking Software Work and How Do You Start Tracking?
Satellite tracking software predicts where a satellite is at any moment and when it will pass within range of your location, so you can point an antenna, schedule a contact, or just watch it cross the sky. The core inputs are simple: your observer coordinates and a current set of orbital data (TLEs). Gpredict is a free, real-time satellite tracking and orbit prediction program for Linux, Mac OS X, and Windows, and it is a useful concrete example of how these tools work. This explainer covers the mechanism, the setup steps, and the problems that most often break a tracking session.
What satellite tracking actually means
Tracking has two related meanings, and it helps to keep them apart:
- Position tracking — knowing where a satellite is right now, usually shown on a world map with its ground track and footprint (the area of Earth from which it is visible).
- Pass prediction — knowing when that satellite will rise above your local horizon, how high it will get (maximum elevation), and when it will set.
For radio work, a third layer matters: Doppler shift. As a satellite moves toward you and then away, the frequency you hear drifts. Tracking software calculates this offset so you can retune during a pass.
Why orbit data (TLEs) drives everything
Tracking software does not measure the satellite directly. It propagates an orbital model forward in time. The standard input is a TLE — a Two-Line Element set, a compact text description of a satellite's orbit at a given epoch.
Key consequences:
- TLEs go stale. Atmospheric drag and other forces make the real orbit drift from the prediction. A TLE a few days old may be fine for a rough look; for precise antenna pointing or Doppler tuning, fresher data is better.
- You need a current source. Most trackers can download TLEs automatically from a catalog such as Celestrak or Space-Track. The update interval is a setting worth checking.
- The epoch matters. If your software is using an old element set, your pass times will be off even if your clock and coordinates are perfect.
Core features to expect
| Feature | What it does | Why you care |
|---|---|---|
| Real-time map | Shows satellite position and ground track | Situational awareness, spotting the footprint |
| Pass prediction | Lists upcoming passes with start, max elevation, end | Planning when to be outside or at the radio |
| Doppler correction | Computes frequency offset during a pass | Keeps a narrowband signal in tune |
| Multiple satellites | Tracks many objects at once | Choosing the best pass among several |
| Rotator control | Sends azimuth/elevation to an antenna rotator | Automated pointing |
Setting up a tracker like Gpredict
The general workflow is the same across most tracking programs:
- Set your observer location. Enter latitude, longitude, and altitude. This is the single most common source of wrong results — a sign error or a swapped lat/long puts you on the other side of the planet.
- Check your clock and time zone. Predictions are time-sensitive. Make sure the system clock is accurate and the time zone is correct, especially if you compare pass times with other people.
- Load or download TLEs. Add the satellites you want and point the software at a current TLE source, or import a file you downloaded.
- Refresh the elements. Set an update interval, or manually re-download before an important session.
- Read the pass list. Look at start time, maximum elevation, and duration. Higher maximum elevation generally means a better, longer contact.
- Optionally connect hardware. If you have a rotator or radio, configure the interface so the software can point the antenna and apply Doppler correction.
Expected result: a list of upcoming passes for your location, and a map showing the satellite's current position and footprint.
Common problems and how to spot them
- Stale TLEs — pass times drift by minutes. Symptom: the satellite is not where the software says. Fix: refresh the elements.
- Wrong observer coordinates — every pass looks wrong or the satellite never rises. Symptom: predictions that make no sense for your area. Fix: re-check latitude, longitude, and sign conventions.
- Time-zone or clock errors — pass times are offset by whole hours. Symptom: consistent shift between your software and a reference. Fix: verify system time and zone.
- Confusing UTC with local time — most tracking tools display UTC. Symptom: you show up an hour or more early or late. Fix: convert deliberately.
- Elevation mask too high or low — you either miss low passes or get unusable ones. Fix: adjust the minimum elevation setting to match your horizon and antenna.
A note on the source
The site at oz9aec.dk, which describes Gpredict as free, real-time satellite tracking and orbit prediction software for Linux, Mac OS X, and Windows, currently shows only an "under construction" page. Treat the description as the project's stated purpose rather than a live download or documentation source; for current files and instructions, look for the project's own distribution channel.
How to Navigate Docker Documentation to Containerize Your First Application
Docker's official documentation lives at docs.docker.com, and it is organized so that a beginner can move from "I've never installed Docker" to "my app runs in a container" without leaving the site. The fastest path is: install Docker, complete the Get Started tutorial, then jump to a language-specific guide for your stack. Use the Reference section only when you need exact command syntax, and browse Samples when you want a working project to copy.
This guide explains what each section of Docker Docs is for, gives you a reading order, and shows you how to find things quickly once you're past the basics.
What the main sections of Docker Docs are for
Docker Docs is not a single manual — it's a set of distinct areas, each written for a different moment in your learning. Knowing which one to open saves a lot of time.
| Section | What it contains | When to use it |
|---|---|---|
| Get Started | A guided, hands-on tutorial that builds and runs a container step by step | Your first hour with Docker |
| Guides | Task- and language-oriented walkthroughs (e.g., containerizing a specific app type) | After the tutorial, when you containerize your own app |
| Manuals | Conceptual and product-level explanations (how images, containers, and registries relate) | When you want to understand why, not just how |
| Reference | Exact syntax for the CLI, Dockerfile instructions, Compose file format, and the API | When you need a precise flag, option, or field name |
| Samples | Complete example projects you can clone and run | When you learn better from working code than prose |
The key distinction: Guides and Get Started teach you by doing; Reference tells you exactly what a command accepts. Beginners often get stuck in Reference too early, reading option lists without context. Start with the doing, then look up the details.
A step-by-step reading path for your first container
Follow this order the first time. Each step has a clear "you're done when…" signal.
Step 1: Install Docker
Open the Get Started area and find the installation instructions for your operating system (Docker Desktop for Windows and macOS, or the engine packages for Linux). Install it and confirm it works by running the version check command shown in the docs.
You're done when: a docker command in your terminal returns version information instead of "command not found."
Step 2: Complete the Get Started tutorial
The Get Started tutorial is the single most valuable page for a beginner. It walks you through building an image, running it as a container, and stopping it — using a small sample app so nothing is left to guesswork. Do every command yourself rather than reading passively.
You're done when: you have built an image and seen your container produce output.
Step 3: Understand the core concepts
Before containerizing your own project, read the conceptual material on images, containers, and registries. This is where the mental model clicks: an image is the packaged blueprint, a container is a running instance of it, and a registry is where images are stored and shared.
You're done when: you can explain in one sentence why you build an image before you run a container.
Step 4: Write your first Dockerfile
A Dockerfile is the text file that describes how to build your image. Find the Dockerfile reference in the docs and read the instructions you'll actually use first: FROM, WORKDIR, COPY, RUN, EXPOSE, and CMD. Don't try to learn every instruction — most projects use a small handful.
You're done when: you have a Dockerfile in your project that builds without errors.
Step 5: Build and run your own app
Return to the Guides section and find the guide closest to your language or framework. These guides follow the same build-and-run pattern as the tutorial but applied to real application types, so you can adapt the steps to your code.
You're done when: your own application responds correctly from inside a container.
How to find things fast once you're moving
After the first container works, your needs shift from "learn the flow" to "look up one specific thing." Use these entry points:
- Search — the search box at the top of Docker Docs is the quickest route to a command or instruction. Type the exact command name (for example, a
docker runflag) rather than a vague phrase. - CLI reference — every
dockersubcommand, its flags, and examples. This is your lookup table, not a tutorial. - Dockerfile reference — every instruction with syntax and notes. Check here before guessing at an option.
- Compose file reference — when your app grows to multiple containers, this defines them in one file.
- API reference — for when you automate Docker from code instead of the terminal.
- Samples — full projects organized by language and use case. Cloning a sample and modifying it is often faster than starting from a blank file.
A practical habit: when a command fails, copy the exact error into search. The docs pages for commands and instructions usually include the conditions that produce common errors.
Guides vs. Reference: which one do you need right now?
This is the distinction that trips up most beginners, so make it explicit:
- Use a Guide when you are trying to accomplish a task and don't yet know the steps. Guides assume you want an outcome and lead you there.
- Use Reference when you already know the task and need the exact spelling, flag, or field. Reference assumes you know what you're doing and just need precision.
If you find yourself reading a long list of options and feeling lost, you're in Reference too early — go back to a Guide. If you're following a tutorial and it doesn't cover the specific option you need, that's your cue to switch to Reference for that one detail, then return.
A reusable checklist for containerizing any app
Keep this sequence handy for each new project:
- Confirm Docker is installed and running.
- Identify your app's language and framework, then open the matching Guide.
- Write a minimal Dockerfile using only the instructions you need.
- Build the image and fix any errors using the Dockerfile reference.
- Run the container and verify the app responds.
- Add a
.dockerignorefile so unnecessary files aren't copied into the image. - When you add a second service (a database, for example), move to the Compose file reference.
- Save the commands that worked so you can repeat them next time.
Where to go after your first container
Once one app runs in a container, the natural next steps are multi-container setups with Compose, sharing images through a registry, and automating builds. Each of these has its own Guide and Reference area on Docker Docs, so the same pattern applies: read the Guide to learn the flow, then keep the Reference open for exact syntax.
The documentation is large, but you never need all of it at once. Install, do the Get Started tutorial, containerize your own app with a language guide, and look things up in Reference only when you need a precise answer. That path takes you from zero to a working container without detours.
What Are Open-Source UI Element Libraries and How Do They Differ From UI Frameworks?
An open-source UI element library is a collection of individual, ready-made interface pieces—buttons, cards, inputs, toggles, loaders—that you copy into your own project and adapt. A UI framework, by contrast, is a structured system of components, conventions, and often a theming layer that governs how your whole interface is built. The practical difference: an element library gives you a snippet; a framework gives you a way of working. If you need a polished button in ten minutes, reach for the element library. If you're building a 40-screen product with a team, you probably want the framework.
What "open-source UI element library" actually means
The term gets used loosely, so it helps to separate the parts:
- Open-source: the code is publicly available, and the license tells you what you may do with it—copy, modify, redistribute, or use commercially.
- UI element: a single, self-contained piece of interface, usually small enough to read in one sitting. A button with hover states, a pricing card, a search field.
- Library: a browsable, searchable collection of those elements, typically contributed by many different people.
On a site like Uiverse, elements are shared by a community and written in plain CSS or Tailwind. You find one you like, copy the markup and styles, paste them into your project, and adjust colors, spacing, and text to fit. There's no package to install and no build step required—which is exactly the appeal, and also the source of most of the confusion.
Element library vs. UI framework: the core differences
| Dimension | Open-source UI element library | UI framework / design system |
|---|---|---|
| Unit of reuse | A single snippet you copy | A component you import or call |
| Installation | None; paste into your code | Package install, config, sometimes a provider |
| Consistency | Depends on you; each element may look different | Enforced by shared tokens and APIs |
| Theming | Manual edits per element | Central theme/config file |
| Updates | You own the copy; no upstream updates | Version bumps bring fixes and changes |
| Accessibility | Varies per contributor; must be checked | Usually tested and documented |
| Best for | Prototypes, landing pages, small sites, one-off needs | Multi-page apps, teams, long-lived products |
| Learning curve | Low—read the CSS | Higher—learn the API and conventions |
The table isn't a verdict. It's a map of trade-offs. Element libraries win on speed and freedom; frameworks win on consistency and maintenance.
Licensing and attribution: what to check before you paste
This is where people get into trouble, and it's worth slowing down for.
- Find the license. Every element or collection should state one. Common open-source licenses include MIT, Apache-2.0, and BSD. Some projects use copyleft licenses like GPL, which can impose obligations if you redistribute your code.
- Understand what the license permits. MIT and Apache-2.0 are permissive: you can typically use the code in commercial and closed-source projects. Copyleft licenses may require you to release derivative source under the same terms.
- Check attribution requirements. Permissive licenses usually require you to keep the copyright notice and license text somewhere in your project. That's a real obligation, not a formality.
- Look for per-element terms. On community sites, the site's overall terms and the individual contributor's stated wishes may differ. If a contributor asks for credit, honor it.
- When in doubt, ask or avoid. If a snippet has no license at all, you don't have clear permission to reuse it. Treat "no license" as "not open source," even if the code is publicly visible.
This article is general information, not legal advice. For commercial products with real exposure, have someone qualified review the licenses you're relying on.
How to use a community element in your project: a practical workflow
Here's a repeatable process that avoids most of the usual mess.
1. Start from a real need, not a browsing session
Decide what you need first—"a compact primary button with a loading state"—then search. Browsing aimlessly produces a pile of pretty snippets that don't fit together.
2. Copy the smallest version that works
Take the markup and the styles. Strip anything you don't need: demo wrappers, extra animations, decorative layers. Less code means fewer surprises.
3. Convert it to your conventions
If your project uses design tokens or CSS variables, replace hard-coded values:
/* Before: hard-coded */
.button { background: #4f46e5; border-radius: 8px; }
/* After: token-based */
.button { background: var(--color-primary); border-radius: var(--radius-md); }
This one step is what keeps a copied element from looking like a foreign object in your UI.
4. Check accessibility before you ship
Community elements vary widely here. Verify at minimum:
- Keyboard focus is visible and the element is reachable by Tab.
- Color contrast meets WCAG AA (4.5:1 for normal text).
- Interactive elements use semantic HTML (
<button>, not a clickable<div>). - Form inputs have associated labels.
- Motion respects
prefers-reduced-motion.
5. Test in context
Paste it into a real page with real content. Long labels, small screens, and dark mode break more copied elements than anything else.
6. Note where it came from
Keep a short comment or an internal credits file: source, license, date. Future you—and your legal reviewer—will be grateful.
Where element libraries genuinely shine
- Prototypes and demos: you need something clickable today, not a design system.
- Landing pages and marketing sites: a handful of distinctive elements, each custom.
- Filling gaps: your framework lacks one specific component, and you don't want to build it from scratch.
- Learning: reading well-made CSS is one of the fastest ways to improve.
- Small projects: a personal site doesn't need a theming architecture.
Where they fall short
- Consistency at scale: ten elements from ten contributors rarely look like one product.
- Maintenance: you own every copy. When your design changes, you edit each one.
- Accessibility debt: you inherit whatever the contributor did or didn't do.
- No upstream fixes: a bug fixed in the original won't reach your copy.
- Integration friction: different naming conventions, different units, different assumptions about resets.
When to choose which
Choose an element library when the scope is small, the timeline is short, or you need a few distinctive pieces rather than a whole system.
Choose a framework or design system when multiple people build multiple screens over months, when consistency is a product requirement, or when accessibility and theming need to be guaranteed rather than checked.
A hybrid works well for many teams: adopt a framework for the structural components—forms, navigation, layout—and borrow individual elements for the places where you want personality. Just route every borrowed element through the same token and accessibility checks, so it lands as part of your system rather than beside it.
The short version: open-source UI element libraries are a fast, flexible way to get good-looking interface pieces into a project. They are not a substitute for a design system, and the license and accessibility details are the part worth reading carefully.
Website Overview
Several search or sharing settings need attention. Together they may make snippets, preview images or preferred URLs less consistent across platforms.
Domain and Registration
Transfer-protection status is present, helping reduce the risk of unauthorized domain transfers. The domain has about 5 years of registration history; its current configuration provides more context than age alone. The registrar is Namecheap Inc., a widely used domain service provider. The domain uses the common .dev extension, which is not an independent safety signal.
DNS and Email
Nameservers are provided by Cloudflare, indicating managed DNS hosting. MX records point to the migadu.com email service. The CNAME points to slimevr.github.io, associated with GitHub Pages. SPF and DMARC are configured. DKIM status is unknown. TXT records include verification markers for Google. Such markers may also remain after a service stops being used.
TLS and Certificates
The certificate uses an RSA 2048-bit public key, offering broad client compatibility. The server supplied a complete certificate chain. No organization name is present in the certificate; the available fields are consistent with domain validation. The certificate was issued by Let's Encrypt, commonly associated with automated certificate services. The certificate's total validity is about 89 days, consistent with a short renewal cycle.
HTTP and Browser Security
The response lacks these common security headers: CSP, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, clickjacking protection. CORS permits any origin to read this response. This is common for public resources; sensitive responses need narrower handling. No X-Powered-By header was found, reducing one common source of backend fingerprinting information. The x-cache, x-served-by, via response header indicates a CDN or caching proxy in the delivery path. No obvious internal addresses or debug information were found in the headers.
Technology Stack Analysis
The public page identifies Fastly without precise versions, leaving fewer clues for version-specific scanning.
Search and Social Sharing
No homepage meta description was detected, leaving snippet selection more dependent on page text. No homepage canonical URL was detected. If duplicate URLs exist, consolidation may be less explicit. No Open Graph metadata was detected, so social previews may depend on platform inference. The title has 27 characters, within a common display range. The observed directives allow indexing and link following.
Hosting and Email
Pages, Search and Sharing
| Meta description | Not detected |
|---|---|
| Canonical URL | Not detected |
| Language | English (default) |
| Twitter Card | Not detected |
Unknown
robots.txt (opens in a new tab)
1 rulesAll bots 1 allowed · 0 disallowed
/
No matching rules.
Sitemaps
1
Registration details RDAP / WHOIS
| Registrar | Namecheap Inc. |
|---|---|
| Registered | 2021-04-05 |
| Expires | 2027-04-05 |
| Domain status | client transfer prohibited |
| Nameservers | chuck.ns.cloudflare.com、jocelyn.ns.cloudflare.com |
| DNSSEC | unsigned |
DNS records
| Type | Name | Value | TTL | Priority |
|---|---|---|---|---|
| A | slimevr.github.io | 185.199.108.153 | 3600 | — |
| A | slimevr.github.io | 185.199.109.153 | 3600 | — |
| A | slimevr.github.io | 185.199.110.153 | 3600 | — |
| A | slimevr.github.io | 185.199.111.153 | 3600 | — |
| AAAA | slimevr.github.io | 2606:50c0:8000::153 | 3600 | — |
| AAAA | slimevr.github.io | 2606:50c0:8001::153 | 3600 | — |
| AAAA | slimevr.github.io | 2606:50c0:8002::153 | 3600 | — |
| AAAA | slimevr.github.io | 2606:50c0:8003::153 | 3600 | — |
| MX | slimevr.dev | aspmx1.migadu.com | 300 | 10 |
| MX | slimevr.dev | aspmx2.migadu.com | 300 | 20 |
| NS | slimevr.dev | chuck.ns.cloudflare.com | 86400 | — |
| NS | slimevr.dev | jocelyn.ns.cloudflare.com | 86400 | — |
| TXT | slimevr.dev | google-site-verification=IdgM45kg6Bd6EQlTzBgG7eaAq79iAkCgToV4BP92tew | 300 | — |
| TXT | slimevr.dev | hosted-email-verify=kuof1m3p | 300 | — |
| TXT | slimevr.dev | keybase-site-verification=uIVFyhinQcEYQ9Kwm3B9XQXeV37dHR6dI2iBbEpAXtk | 300 | — |
| TXT | slimevr.dev | v=spf1 include:spf.migadu.com -all | 300 | — |
| CNAME | docs.slimevr.dev | slimevr.github.io | 300 | — |
| DMARC | _dmarc.slimevr.dev | v=DMARC1; p=quarantine; | 300 | — |
TLS and certificates
| Assessment | Normal configuration |
|---|---|
| Supported protocols | TLSv1.2、TLSv1.3 |
| Negotiated protocol | TLSv1.3 |
| Certificate subject | docs.slimevr.dev |
| Issuer | Let's Encrypt |
| Valid until | 2026-11-17T19:07 · Remaining when checked: 45 days |
| Verification details | Certificate trust: Passed · Hostname match: Passed |
HTTP response headers
| Header | Value |
|---|---|
| content-type | text/html; charset=utf-8 |
| cache-control | max-age=600 |
| server | GitHub.com |
| strict-transport-security | max-age=31556952 |
| access-control-allow-origin | * |
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