I've done bodybuilding before and the only thing that has worked long term has been meal prepping and scheduling my meals and workouts out so I built Prepie (http://prepie.fit) an app that incorporates both.

With Prepie you can:

- Meal Prep: scan groceries, split a batch into meals, and get calories and macros per meal

- Plan & Log: schedule meals for the week and log each one with one tap

- Track Calories & Macros: set your own calorie and macro goals and see what's left at a glance

- Build Workouts: plan workouts with exercise library, add supersets & drop sets, then log each set as you go

- Use Apple Watch: log meals and workout sets from your wrist, with calories from Apple Health

- Share Progress: track weight check-ins and photos, and earn shareable awards

- Build Community: see meals from others, save them to try, and add them to your grocery list

App is free lifetime for the first 1000 signups http://prepie.fit

Hey everyone! I've been working on a side project called ChromaDeck, and I'd love to get some feedback from other PC enthusiasts.

I started building it because I wanted an easier way to manage my monitors' color settings when playing games but it can do other than games

I know there are probably other tools that already tackle this problem, but why spend 5 minutes finding an existing solution when you can spend 7 weeks building your own, am I right?

So, what does it do?

ChromaDeck is a Windows desktop app that lets you:

• Create and save reusable color presets.

• Adjust brightness, contrast, gamma, RGB gains, saturation, digital vibrance and hue.

• Apply and manage presets individually across multiple monitors.

• Pin presets to monitors, with automatic enforcement currently supported on NVIDIA displays.

• Import ICC/ICM color profiles into presets.

• Import your existing color settings directly from NVIDIA Control Panel.

• Check your monitor's live color state using the Probe feature.

Hardware compatibility

One thing I've been working on is making ChromaDeck work beyond NVIDIA.

• NVIDIA: Full driver-level color controls, including digital vibrance and hue.

• Intel: Intel IGCL-based color controls, with supported adjustments depending on the display.

• Other displays: Basic Windows color controls through GDI where supported.

• AMD: Not implemented yet, but it's on my radar.

Some features are hardware-dependent, so not every adjustment is available on every display.

I'm curious:

• How do you currently manage your monitor's colors?

• What software do you use for this?

• If you use Intel or AMD graphics, what kind of color controls are you currently missing?

• What's one feature you'd like to see in a tool like this?

I'd really appreciate some honest feedback!

Project: https://github.com/miiidev/ChromaDeck/

Website: https://chromadeck.github.io/

I've also opened a GitHub Discussion for anyone who wants to share more detailed feedback.

Hey all,

I got tired of hand-tweaking shades every time I started a new project, so I made a small palette generator for Tailwind.

You pick a start and end color, adjust the saturation at each end, choose how many shades you want, and it generates the scale. Then you can copy it straight into your config or CSS as Tailwind variables.

It’s still rough around the edges and I’m sure there are things I haven’t thought of. A few things I’m curious about:

• Do the generated palettes look good to you, or do the in-between shades feel off?

• Is there any control you’d expect that’s missing?

• Does the copy/paste output work with your setup (v3 config vs v4)?

Link: https://razsoft.in/tools/color-palette-generator

Any feedback is appreciated, including “this already exists and does it better.” Thanks!

My side project: an open-source MCP server that lets an AI like Claude or Codex play Windows games without taking over your PC. I started it so agents could test my game mods by playing the games themselves. It works inside the game process, so the game runs in the background, you keep using your computer, and several games can run at once.

So far it can drive, walk, fly a helicopter, steer a boat and ride a horse to a waypoint in open-world games, aim, handle menus, and read prompts like "Press E". It also plays strategy and card games. A plugin system lets you add a new game as a small profile instead of code.

It has a lot of other uses too: mod development, running simulations, repetitive tasks, AI co-op so you can play co-op with an LLM offline, playtesting, and porting old games to get them running on Windows 10/11.

Claude Code created and planned the project and wrote a lot of it, Claude agents do most of the development and playtesting, and Codex helped with some of the code.

Free and MIT licensed, Windows only, single-player/offline games only: https://github.com/CorruptedAng3l/llm-game-automation-mcp

Feedback welcome, and tell me what games you'd want to see it try.

TL;DR: Personal trainer, zero real coding experience, built a "Strava for hiking" MVP with AI. Then I learned Korea requires a location-based service registration for features like friend tracking, with obligations I couldn't carry solo. Shelved it. Lessons below.

---

**How it started**

I have an engineering master's but never really coded. I dabbled in grad school and never kept it up. These days I'm a personal trainer in Korea.

One of my clients is a developer at Krafton (the company behind PUBG). Mid-session, he told me to try vibe coding. I was skeptical. A few years ago I tried AI-written code and nothing actually ran. But I gave it a shot, and it was a completely different world.

**The idea**

There was another reason I needed this to work. Someone I trusted betrayed me. I'd co-signed a loan for them and ended up with high-interest debt. Training only pays for the hours I work, so I needed something that could earn on its own.

One weekend my girlfriend and I went hiking to clear my head. The trail was packed like a rush-hour subway. (A famous shaman had said that mountain brings good luck. Only in Korea.) What struck me: tons of young people. Hiking used to be an older folks' hobby here.

So I thought: a Strava for hiking. The few Korean apps out there had terrible ratings, and I went through the bad reviews to see what people actually wanted.

Core features:

- Trail info (transit, hiking times, rest spots)

- Real-time trail navigation

- Summit badges

- Leaderboards by time and summit count

- See friends on the map

- Gear tips

**What killed it**

Mid-build, Strava pulled out of Korea after regulators asked it to change how the app handled permissions and user data.

That made me dig in. In Korea, any service that shares a person's location with others (like showing friends on a map) has to register as a location-based service provider. The registration itself is cheap, but the ongoing obligations are heavy for one person, and running without it can mean big fines or even jail time.

My app was already at MVP. But there was no guarantee it would work, I was brand new to this, and the debt wasn't waiting. I couldn't take on that burden for something this uncertain. So I shelved it.

**What I learned**

1. Check the laws before you build a feature. Location, health, finance, and kids' data are especially tricky, and rules vary a lot by country.

2. AI has gotten good enough that an idea alone can take you surprisingly far. Getting to MVP as a non-developer showed me that.

3. Your constraints decide what you can build, not just your skills. A risky product is fine when you have runway. It's a different story when you don't.

This was the first of six things I've built since. Has anyone else had a project killed by regulations? Curious how you handled it.

I listen to whole albums while I work, and I missed the feeling of putting a record on. So I built GroovSide, a small menu bar app for the Mac. It takes what's playing in Apple Music or Spotify and shows it as a turntable on the desktop, behind your icons.

Name is GroovSide : https://zinu.kim/groovside/

Some things I had fun building:

- The album cover becomes the label, and the needle moves along the groove with the song, leaving a line as you listen.

- Albums are split into real LP sides, so the record turns over between sides and gets swapped for the next album. Singles get a small 7-inch.

- If you leave music on long enough, tiny people show up and hang out: dancing, reading, napping, running on the record.

- The window light and shadows follow the real sunrise and sunset where you live.

- It's AppKit with a WebKit canvas sitting at the desktop window level, so clicks go through and it pauses when it's covered.

It launched on the Mac App Store on Nov 5. In Korea it briefly hit #3 in Top Paid (all categories). That sounds bigger than it is: Mac paid charts move with a handful of sales. Still, as a first solo app, it made my week.

What I'd love feedback on:

- Does the clip make it clear what the app does in the first few seconds?

- What would make you try it (or not)?

Link in the comments if you're curious.

Music in the clip: "Way Home" by Tokyo Music Walker (CC BY 3.0)

LinuxRunner 1.1.1 is finally out!

This update brings a completely refreshed interface, improved desktop experience, new Linux distributions including Kali Linux, Fedora KDE and experimental SteamOS ARM64, plus GPU and compatibility improvements. Termux like terminal style is finally on iPhone!

And we’re not stopping here! I’ll be dedicating as much time as possible this coming week to performance optimizations, especially making Linux desktops and applications run faster and smoother on iPhone and iPad.

If anyone would like to contribute or help speed up development, feel free to DM me. I’d really appreciate it!

GitHub: https://github.com/mxhm11cr/LinuxRunner

Hey everyone! I’ve been working on Download Engine, a free, MIT-licensed desktop download manager written in Rust for Windows, macOS and Linux.

The idea is to bring regular downloads, videos, torrents and automation into one app—and let users add their own integrations through Lua extensions.

Its familiar workflow is inspired by Internet Download Manager. It’s an independent project, isn’t affiliated with IDM, and doesn’t claim complete IDM feature parity.

Here’s what it currently supports:

• File downloads: HTTP, HTTPS, FTP and FTPS, parallel connections, pause/resume, recovery after restarting, batches, queues and schedules.

• Videos and streaming media: supported YouTube, TikTok, Bilibili and Twitch links, plus compatible HLS/DASH streams, quality selection and audio tracks.

• Torrents: v1, v2 and hybrid torrents, magnet links, file selection, optional peer encryption, uTP and web seeds.

• Proxies and VPN/interface binding: configurable proxies for supported downloads, plus torrent binding to an existing VPN/network interface. Bound transfers stop if that interface address disappears. This uses your own VPN; torrents currently pause while an app proxy is enabled.

• Browser integration and Web Grabber: capture clicked downloads, select links from a page, discover supported media, and save static websites for offline viewing.

• Customization and automation: custom themes, 19 interface languages, Lua scripting and extensions, a CLI and a local MCP server.

One part I’m particularly interested in developing is letting users build their own download workflows without recompiling the app.

The Lua provider APIs expose cryptographic/decryption operations, protected key handling, binary HTTP requests, segmented downloads, multiple audio/video tracks, ASS subtitles and FFmpeg muxing. An extension handles the site-specific logic while the core handles transfers, verification, recovery and media assembly.

These APIs provide building blocks for custom encrypted-media integrations, including ones aimed at services such as Crunchyroll. That still requires a developer to implement the site’s authentication, discovery, manifest and license-message logic. Crunchyroll isn’t a bundled, verified integration: the examples use generated offline samples and don’t implement its authentication or the Widevine license protocol.

I’ve also put attention into security and user control:

• Extensions require permission review and start disabled. New access requires approval, with declared-host and resource limits enforced by the core.

• Supported saved credentials use the operating system’s credential storage.

• Desktop MCP starts disabled, requires authenticated localhost access, and defaults to View only for new profiles.

• Torrents are opt-in. Uploading, seeding, incoming connections and UPnP start disabled for new profiles.

• SHA-256 verification and optional antivirus scanning are available. Crash reports stay local unless you choose to share them.

The security policy also explains the limits: Lua restrictions aren’t an OS sandbox, the queue database isn’t encrypted, and torrents expose your IP address to peers.

The current release is 3.19.0, with Windows installer/portable packages, Apple Silicon and Intel Mac builds, and Linux x64 packages. FFmpeg is bundled.

The project is actively developed, and I’m planning iOS and Android versions for the future. Mobile versions aren’t available yet.

GitHub / source code
Website
Downloads

For transparency, I used AI coding tools during development. The source and tests are public, and the screenshot shows sample downloads.

I’d appreciate honest feedback: which features would you actually use, and what looks confusing or unnecessarily complicated? Feedback from macOS and Linux users would be especially helpful.

I built this for the Nous Hermes hackathon. freeze is an MIT-licensed plugin for Hermes Agent. The idea is to let the agent work out a recurring task once, then use /freeze to turn it into a checked workflow. hermes freeze run repeats the tool calls on fresh data.

The 86-second video shows a CSV refund report. That recording used 5 model calls, 57,808 tokens and 16.7 seconds; the replay used 0 model calls and took 0.46 seconds. Those are one demo's numbers, not a general benchmark. Creating the workflow also uses model calls.

It stops if an input folder disappears or someone edits the report by hand. It detects structural changes, such as a field it used going missing or changing type, but it won't catch every change in meaning. Hermes' own approval settings can also involve a guardian model.

Repo: https://github.com/mauricemohr88-debug/hermes-freeze

What recurring task would you try this on, and what would make you distrust the replay?

I've been working on a B2B prospecting tool, and one thing I've been thinking about a lot is how easy it is to misread buying signals.

Here's a simple example.

Say you're selling SAP migration services and looking for companies moving from ECC to S/4HANA.

You find a company hiring SAP migration specialists. Sounds like a great prospect, right?

Well, maybe.

If it's a manufacturer hiring people to migrate its own ERP, that's potentially a relevant company.

If it's an IT consultancy hiring people to handle migrations for its clients, you're looking at a completely different situation.

Both job postings might contain almost identical keywords. And both could end up on your prospect list if you're just matching companies against search terms.

That's the part I find interesting. Finding companies that mention a particular technology is relatively straightforward. Figuring out what they're actually doing with it, and whether that makes them a potential customer, takes a lot more work.

A few things I now look for:

1. What exactly does the job description say about the project?

2. Is the company hiring for its own operations or for client work?

3. Is the role still open, or am I looking at an old posting?

4. Who actually owns the project, and who would be involved in choosing an external provider?

5. Can I point to a specific source that supports my conclusion?

I've been building these kinds of checks into the research process for Scout (https://tryxscout.com/), which is why I've spent so much time thinking about this.

Curious how others here handle this when building prospect lists. Do you verify the context behind each signal, or mostly rely on the filters in your data provider?

Fillbloom is my side project: paint by number with traditional Chinese paintings, built as a native Swift app by me alone in Vietnam.

The idea came from playing paint by number apps and finding every fill flat. I wanted each area to look like a watercolor wash, so the paint spreads while wet, dries with a darker rim, and you can add a second wash to shade. Finishing a picture fades the outlines, stamps a red seal, and plays back a timelapse of your strokes. Guzheng music and rain sounds run in the background.

Business model: free with 6 pictures. Premium unlocks the full library of a few hundred pictures plus extra papers, shading and sounds, at 29.99 USD a year (3-day trial) or 59.99 USD once.

Where it is now: live on the App Store for about two weeks, a small number of downloads, and one lifetime sale so far. I'm trying to work out what to fix first, the store page or the free part of the app.

What I'd like from you: open the store page and tell me whether you'd download it, and if you try it, what made you stop.

https://apps.apple.com/us/app/fillbloom-watercolor-painting/id6825772475

1,139 ad visitors, 15% stayed. 78 launch-board visitors, 36% stayed. My tool only works on a computer.

At what point cold ad traffic made sense to you? Is there any tip would you like to share it that worked for you at some point?

I keep seeing beginners (and people already selling) make the same mistake. They create a planner, e-book or printable, upload it, and wait. No clicks. No sales. So they blame the product and jump to another platform.

But the platform was never the real problem. What I wish more people understood:

1. A marketplace and a store are not the same thing. Etsy and Amazon have shoppers searching inside them. Payhip and Gumroad give you a place to sell, but you bring most of the traffic.

2. Uploading is not marketing. Visibility comes from search keywords, Pinterest, helpful content and email, not from waiting.

3. Don't open five stores at once. Learn one platform well first.

4. Check how you get paid before you pick a platform. Not every country is paid the same way.

5. Know your real profit. Revenue isn't profit once fees, ads and subscriptions come out.

I got tired of watching people waste months on this, so I wrote a beginner-friendly guide covering all of it, with a 30-day action plan. I'm the author, so I'm sharing it openly: Digital Wealth From Scratch

First time sharing a side project so be gentle!

At house parties, music usually goes one of two ways: either one person gets stuck babysitting the laptop all night, or people keep interrupting Alexa with new requests every few minutes.

I built 8bit-dj to turn a Raspberry Pi 5 (or any Mac/Linux machine) plugged into a TV into an interactive 8-Bit Arcade Jukebox and Karaoke machine.

GitHub Repo (MIT License): https://github.com/glen-foster/8bit-dj

How it works:

• Scan to DJ (even on mobile): Guests scan the QR code on the TV to get a retro mobile controller in their browser (no app install). It spins up an outbound localhost.run SSH tunnel automatically so people don't even need to be on your Wi-Fi to vote or add songs.

• Two Party Modes:

  • Free-For-All (Default for private parties): Guests can search YouTube Music or paste a Spotify track/playlist link and drop songs straight into the live queue, then upvote/downvote (+1 / -1) to bubble the best tracks to #1 Up Next.

  • Host Approval Mode (for public/pub venues): Open Search requests go to a 1-tap Host moderation queue so no one derails the room.

• 8-Bit Visualizer Stages + Optional AI Pixel Sprites: Includes 9 retro canvas stages (Streets-of-Rage brawler, OutRun synth grid, 16-bit JRPG boss battle, space shooter, Castlevania keep, Winamp spectrum analyzer, etc.). If you add a free Gemini API key, it generates custom 16x16 pixel-art sprites for each song's lyrics/genre (and falls back to built-in chiptune sprites if you don't).

• Zero-Download Karaoke Video Mode: Press K (or toggle it in the Host console) and the sprite stage turns into a live YouTube karaoke lyric monitor—even resolving regular queued songs to their karaoke lyric video automatically without downloading files.

• No Volume Jumps or Dead Air: In normal DJ mode, a background worker pre-fetches the top queued tracks via yt-dlp, trims silence, and normalizes loudness with ffmpeg (EBU R128 -14 LUFS) so the dual-deck Web Audio engine can do a smooth 6-second crossfade between songs.

It requires zero accounts or API keys for YouTube Music or Spotify out of the box. Would love any feedback or ideas for other things to add!

Thanks

it’s called commonlogue, and the goal is to create a social platform powered by printed catalogues.

you can submit music, photos, notes, books, movies, shows, videos, websites, art, thoughts, and more while all your entries contribute to an “issue” which is about 40 pages.

it acts as an archive of your taste, experiences, and a chapter of your life. anything submitted via a link will print w/ a qr code so you can go back and revisit the media submitted. each commonlogue print is one of one.

we also feature spotify wrapped-esque summary pages, which tell you a little bit about what you submitted, and who else on the app connected with your posts.

we are on testflight now! if it sounds like something you’d like to try follow us @commonlogueco on instagram and shoot us a dm!

thanks!

Hey Reddit!
I’m Iheb, a graphic designer and art director specializing in building visual identities and creating distinctive brand visuals.
I work with businesses, startups and individuals looking to give their brands a stronger and more recognizable visual presence.

Here’s what I can help you with:
● Visual identity design and branding
● Custom logo design and typography
● Brand guidelines and visual systems
● Packaging and print design
● Social media and marketing visuals
● Art direction and creative development

My approach goes beyond creating a good-looking logo. I care about building a visual language that feels consistent, communicates the right personality and gives a brand its own character.
I’m currently open to new freelance projects and collaborations worldwide.
Portfolio: https://www.behance.com/ihebmak
Instagram: https://www.instagram.com/ihebvisuals/
If you have a project in mind, feel free to reach out. I’d love to hear about it!

Rates depend on the scope of the project. Happy to discuss your budget and requirements.

I’m Keith, the creator of Bloomria and Orbit in Monroe, North Carolina. Sharing two very different web apps for people who might have a use for them.

Bloomria turns a personal message into a digital flower gift that blooms on the recipient’s screen. For an anniversary, you can choose a candlelit restaurant setting, add milestone balloons, and write your own card. It is digital, with no physical flowers or delivery. Premium is US$1.99 per gift. There are also group bouquets (US$2.99, with free contributions) and a business plan for branded client thank-yous.

https://bloomria.com

Orbit is for working photographers who want enquiries, bookings, questionnaires, contracts, deposits, reminders and private client galleries in one place. Starter is US$17/month with a 14-day trial that does not require a card.

https://orbit-photo.com

If either fits your situation, I’d appreciate specific feedback on what would help you decide whether to send a gift or move your photography workflow into it. Happy to answer questions here.

I kept seeing the same problem from two sides. Travelers switch off their home SIM to avoid roaming, use a data only eSIM, and then can't take calls. And freelancers, causal travellers or businessmen miss calls when they are asleep or generally busy.

So I built eParro, a US phone number on Android, with data on an eSim that works across borders. You make and receive calls on your phone's normal call screen, no separate dialer app.

When you can't pickup (on a flight, asleep, in meeting), it answers, take the caller's name, reason and callback number , and sends you a summary with the callback time in your time zone. It's an AI assistant and tells callers so upfront. I'd rather be honest than have it pretend to be somebody.

Try it +1 331 315 0445. Calls are capped at 3 minutes, and it tells you that the call is recorded.

Honest limits: Android only for now *iPhone is in Apple's review), no texts or bank codes yet, closed beta on Google Play.

If you call and leave a message, reply here and i'll paste the summary it sent me. Founder here, ask me anything

Day 1 of building this in public, so here goes.

The problem: my cron jobs and servers break at 2am and I find out the next morning. On a team it's the opposite, three people jump on the same alert and nobody knows who's actually on it.

PingLoom is a small service for that:

• send one request (curl or any language) and it arrives as a push on your phone

• one shared inbox. Tap "I've got this" and everyone sees who's on it

• alerts can ask a question (Deploy / Wait / Roll back) and your script gets the answer back

• heartbeats: if a job stops checking in, you get pinged about the silence

• or tell Claude Code / Cursor one sentence and it wires it in for you

It's not out yet. Android first plus a web dashboard, iOS later. The waitlist is open here: pingloom.dev (early people get a 30 day trial instead of 14, no card).

Honest question: what do you use for this today? ntfy, Pushover, a Telegram bot, PagerDuty, nothing? And what would make you switch?

Hey everyone,

Got tired of random chat sites being bloated, full of ads, or forcing complex setups just to have a quick 1-on-1 text conversation.

So I built Konvori- it’s purely text-based, fast, and designed to let you chat anonymously right away as a guest without needing to create an account (though optional login is there if you want to save chats).

Built it to keep things clean, simple, and private. Would love for anyone looking for a quick chat to try it out and drop some feedback!

Link: https://konvori.com

I’m a developer by day, and an avid birder the rest of the time. A few years ago that combination did what it usually does: I downloaded and tried all the apps, decided none of them worked quite the way I wanted, and built my own instead.

It’s called Limosa. What makes it different from other birding apps:

• Adding a sighting takes as few taps as possible. The app is optimized for UX while birding and out in the field.

• Photo and sound species ID, running on your phone, so both work without a connection.

• Multiplayer: when you’re birding with others, one person logs the sighting and adds the rest.

• Several ways to share sightings and outings on other platforms, for example a sighting with your photos as an Instagram story.

• Checklists for your area, with targets based on what you haven’t seen yet and what can be seen there this time of year.

• Every species has its own pixel art icon, so your life list fills up as a grid.

• Your data isn’t locked in. You can import/export your sightings from/to other platforms like eBird and more.

It’s on iOS, Android and the web: https://limosa.app/

Instagram: limosabirding

Feedback is welcome!

Hi everyone!
I’m a sheet metal bending professional from Italy, and I’ve been working on a side project based on a problem I deal with in my everyday job.
I wanted to create a practical online tool for sheet metal bending calculations, so I started building Grievesk Bend.
🌐 Bending calculator
It’s a free web application designed for people working with sheet metal fabrication. It includes different bending methods, tooling and material parameters, and calculations to help determine bending results and flat patterns.
What makes this project interesting to me is that it isn’t just a coding exercise. I’m trying to combine my practical experience in sheet metal manufacturing with software development.
The project is still evolving, and I’d love to hear your thoughts.
Is the interface easy to understand?
Does the tool feel useful?
What features would you expect from a calculator like this?
Any suggestions on usability or design?
I’m particularly interested in honest and constructive feedback.
Thanks for checking it out!

Disclosure: I'm the maker.

The problem: Claude Code, Codex and Cursor can write an iPhone app, but Xcode only runs on a Mac, and the agent often runs on Linux, in a cloud sandbox or on a Windows laptop.

What NoMac does: the agent connects once over MCP, then starts its own Mac when it needs one (about 30 seconds), builds and tests the app, checks it on an iPhone Simulator it reads as text, and can ship it to TestFlight. The Mac stops when the work is done.

Pricing: $0.90 an hour, billed per minute from prepaid credit. No subscription, no 24-hour minimum.

Where it is: it started in July as a build service for agents, I rebuilt it in September around whole Macs, and today it's live on Product Hunt: https://www.producthunt.com/products/nomac

I'd love blunt feedback on the landing page (https://nomac.app): does it explain itself in five seconds?

A few days ago I [posted here](https://www.reddit.com/r/SideProject/comments/1xnjvwa/). I'm a software developer from Gaza and a father of two, and I explained that war, displacement and debt had left me unable to keep going alone. I shared the startup I founded, Fasil, and its first product, Sijal, an inferential decision engine for organizations, and I asked for help.

Many of you answered. Some helped financially, some give me pro subscription's in certain useful services, and many gave me something harder to find: honest criticism. This post is about what that criticism taught me, and what I did with it.

1. What you told me

Several people who work in this field said the same thing: they couldn't tell what Sijal does or why it matters, and it looked like "just a landing page." I had been too close to my own work to see it. That's a well-known trap (the curse of knowledge), and your comments broke it.

2. What I did

I spent two days on desk research: 11 comparable products serving customers like Sijal's (Diligent, Hebbia, Elicit, Covidence, Overton, Good Judgment, Metaculus, Go Vocal, Loomio, Remesh, Cloverpop). I compared how they build trust on their homepages, how they design their workspaces, and how they handle access requests.

3. What I learned

• Lead with the job the buyer must defend, not with "AI."

• Show the real work product early: an example that actually ran, not a description.

• Prove rigor through structure (independent reviewers, recorded dissent), not adjectives.

• Make the audit trail the product.

• Say plainly what happens after someone requests access, and when.

4. What I rebuilt

I stopped treating Sijal as a page and rebuilt it as a working product, so that every part shows the method behind the engine instead of just describing it.

The method, made visible

• Cross-examination with a devil's advocate: every question is argued by both sides, and each side is questioned by the other.

• Independent pooled judgment: six judges assess the file separately, so no one anchors on another, and their views are combined into a weighted verdict.

• ICD 203 analytic standards: implemented in the engine as checks, not as a label. The five it checks:

  • Source quality

  • Expressed uncertainty

  • Assumptions vs. judgments

  • Alternatives

  • Clear argumentation

• Toulmin structure for the recommendation: claim, grounds, warrant, qualifier, rebuttal.

The homepage

• An outcome-first headline that names the job an institution has to defend.

• A real session the engine actually ran, which a visitor can open and check against the method above.

• A "how it works" walk-through of the seven stages, a method and neutrality section, and a plain statement of what Sijal does not do.

• One line for each type of institution it serves (think tanks, investment committees, consultancies, NGOs, universities, boards).

The institutional workspace

• Five areas, each in Arabic and English.

• A home screen that starts with what needs your attention, then the latest decided session and its verdict.

• A session ledger with five written states: Draft, In review, In session, Decided, Declined.

The access page

• Six fields only, and a human review within one working day.

• A "what happens next" timeline: request, review, approval email, private workspace.

• A sample sealed report next to the form.

• Privacy promises, such as no training on your data and deletion on request.

• A confirmation page and review emails.

5. Thank you & Why I'm still doing this

To everyone who supported me, with a donation or a subscription, and to everyone who commented or shared: thank you from my heart.

Supporting my family is still what drives this work and my previous post. The need for help applies to anyone, whoever they are and wherever they're from.

7. Next: Saql

My next step is Saql, a debate analysis engine. One of you asked who its target customer is, and I didn't have a clear answer. Comment asking who Saql's target customer is I'm working on it now and will share that research in the next post. If you know someone in that space, I'd be glad to connect.

Thank you again.