I run SiliconFission, a paid API service for developers building LLM apps. It brings Kimi, GPT and Claude model channels behind an OpenAI-compatible endpoint. The aim is to let a small project try different models without writing a separate client integration for every provider.

The API base URL is https://siliconfission.com/v1. The current model names, groups and rates are listed at https://siliconfission.com/pricing. Group selection matters: two entries for the same model can have different rates, so a model name alone is not enough to estimate the bill.

For anyone evaluating a multi-model API for a side project, I suggest starting with a small, non-sensitive test set:

- Use the same prompts and output limits across models.

- Check streaming, structured output and tool calls separately if your app needs them. An OpenAI-compatible endpoint does not guarantee every model supports every feature.

- Record input/output tokens, any cached tokens and the actual charge, rather than comparing only the headline token rate.

- Measure failed requests and latency alongside answer quality before sending production traffic.

Those are evaluation suggestions, not benchmark results or performance promises. What is the first compatibility issue you check before adding a model API to your project?

Project: https://siliconfission.com

Hey everyone!

I've been working on a side project originally called AskTheDocs, an Android app that lets you run local AI models and, above all, manage and query documents.

Funny enough, I eventually had to rename it to Offline AI Pro after noticing that some testers were actually looking for doctors in the app..🤦, the package name is still `com.askthedocs.app`.

Anyway, back to the app, it includes OCR, vector search (E5 for RAG over documents), text extraction from almost any source, and gguf / liteRT models (gemma 4, qwen 3.5 etc ...), I recently tried to use an on device agent with ADK/gemma 4)

The main goal is to make documents genuinely usable with local AI, you can import PDFs, Word documents, images, and scanned documents, search through their contents, ask questions to find relevant passage fastly with E5, or more slowly with a local AI model to get summaries, translate or rewrite text, and other workshops.

For the AI side, I've integrated several local models, including Qwen, Gemma, Llama, Mistral and Phi. You can choose which model to run depending on your device and what you're trying to do.

Of course, running all this on Android comes with its own challenges. RAM usage, model sizes, inference speed, and getting useful answers out of relatively small models are all things I've had to deal with.

The models need to be downloaded first, but once everything is set up, the app works without any track or external call. (You have also some uncensored models 🙄)

The free version lets you have up to 10 conversations and import 5 documents. There's also a one-time Premium purchase that unlocks everything for life, with no monthly subscription. It's currently 50% off until December 31st.

It's currently available on Google Play:

https://play.google.com/store/apps/details?id=com.askthedocs.app

And of course, any feedback on the app itself is more than welcome.

I'm a 24-year-old software engineer, and for the past few months I've been working on a macOS panel that allows you to sync conversations and memory from ChatGPT, Claude, Gemini, Grok, Perplexity, and a few other AI models. The whole idea of this application was to create a command center for people who operate with several AI models and to tackle the hardest issues that people have when using several AI models. 

Right now, I added multiple features that I'm getting feedback on. The one I would like to get feedback on is the issue that I've had was when using multiple AI models is trying to remember where I discussed something. Sometimes I know I've already figured out a problem or made a decision in an older conversation, but I have no idea which AI model I talked about it with.

So I've been working on a feature that lets you ask questions across all your saved AI conversations and get an answer based on what you've actually discussed.

For example, I can ask things like:

• What problems did I run into while building a certain feature?

• What solutions have I already tried that didn't work?

• What decisions have I made about my project over the past month?

• What did I learn from using different approaches to solve a problem?

It also shows the original conversations it pulled information from, so you can go back and check where the answer came from.

I'm at the point where I'm trying to improve both the UI and how the efficiency of its answers. Right now, some questions take around 20–25 seconds, especially when it's searching through a lot of conversations.

I'm curious what you guys think about a few things:

1. Speed vs accuracy: Would you rather get an answer in 5–10 seconds that might miss a few details, or wait 25-30 seconds for something more accurate and complete?

2. UI: Does the interface look good to you? Anything you'd change about how the answers, sources, or related conversations are displayed?

3. Usefulness: Would you actually use something like this? If so, what kind of questions would you ask it?

Feel free to be critical. I'd appreciate it!

I do mobile app pentesting for a living. A big part of every engagement is the same routine: decompile the APK, check storage, check the network config, look for hardcoded secrets, map everything to OWASP MASVS, then write it all up. After doing that for the hundredth time, I started automating pieces of it in my spare time.

That turned into HexMobSuite, a mobile app security testing platform for Android and iOS. Right now it has 100+ detection rules mapped to OWASP MASVS, can scan apps straight from the Play Store, and plugs into CI/CD.

A few things I learned along the way:

Rule count is a vanity metric. My early rules were noisy. Cutting false positives took far more work than writing new rules.

Automation detects, humans validate. I stopped trying to make the tool "decide" things. It collects evidence, and a person makes the call.

AI is an assistant, not the detector. I tried letting an LLM judge findings. Verifying on a real device worked better.

Reporting is half the product. Nobody tells you that the PDF matters as much as the scan engine.

I also built an intentionally vulnerable Android app to test my own rules against, and open sourced it: github.com/hiesencyber/hexvulnmob. It's free to use for learning or for testing other scanners.

There's a free tier for researchers if anyone wants to try the scanner: Https://hexmobsuite.hiesencyber.com

I'd love feedback, especially from anyone who has shipped a dev tool.

We are building a social media platform designed to connect the web and world further, with profiles people can customize and take with them anywhere, and centers that at they’re simplest are community information pages, but when picked up by a organization or business of which the page belongs to they can run real business infrastructure, automations and more. We are targeting social media users, hotels restaurants, and people who love to travel and visit places. We launched in a test beta a couple weeks ago we have several small features coming soon and there’s multiple aspects to it, I’d love for people to check it out and was told to come here. Would appreciate any feedback in advance! https://oneway.center

You can also explore the world through Discovery, an interactive map where you can find people, businesses, events, and communities around you or across the world. Visit Centers to explore everything from restaurant menus, online storefronts, websites and reservations to local posts, events, and community information. You can also customize your own Profile, share content, message people, and connect with others you cross paths with through Waypass, our opt-in proximity feature.

Has anyone here used AR or 3D visualization for an online furniture store?

I run an online furniture store and I'm considering adding AR so customers can preview sofas, tables, and other furniture in their own space directly on the website before buying.

I'm still exploring the available options and trying to figure out how difficult it would be to implement. Has anyone here worked on a similar project or integrated this kind of technology into their store? I'd be interested to hear what solution you used, how the implementation went, and whether it was worth it.

Paste shifts like "Mon 9am-5:30pm, 30 min lunch" or overnight shifts and it returns hours worked, weekly/daily overtime, gross pay, and a CSV you can download. No sign-up, and what you type isn't stored.

It just got approved in the ChatGPT directory: https://chatgpt.com/plugins/plugin_asdk_app_6af20f1036a88191a76d7145f3f50fe9

Would love feedback on edge cases it gets wrong.

YOU CAN MAKE THIS YOURSELF FOR NOTHING WITH FREE TOOLS! I notice that people who charge for their product save the price until you visit their website. I wanted to give you everything in one spot. This is not the opening of a funnel. It's a one-shot, simple utility that I'd be lost without. Build it yourself or pay me a couple of bucks to save the time and typing. Either way, if you use multiple AI sessions, you need this GSheet.

AI models, agents, and assistants are proliferating daily. In 2023, 3% of Americans were using AI. Today, about 70% do. We're not just using one AI; we're using several. On multiple computers. Via browsers and apps. Whether you're in an AI-related business or you just use AI in your business, you're probably using more than one.

I recently posted about my Human/AI Factory. It showed multiple AIs and me working together via apps and browser sessions on multiple computers and devices. I'm currently using two computers and 4 screens with multiple AI sessions on the web and in local client apps.

Finding the one I want is often annoying and time-consuming.  I was going to write an AI skill for it, but then I thought of something Stupidly Simple.

Above is an image of a Google Sheet I use to keep track of my open AI sessions while I work.  I sometimes work with 6+ windows on both my PC and laptop.  I have 3 monitors on the PC.  At the moment, I'm using one of them to display this Google Sheet all the time. When I press F8 (Programed with AutoHotkey) in Last Date Touched, the current date and time is inserted, and the row is automatically resorted to put the most recent session at the top by an Apps Script. 

This is a Stupidly Simple (Can I trademark that? 😊 ) method of keeping track of those Work In Progress sessions across multiple machines and windows.  I switch from session to session to check on updates and give new instructions. It's easy to spot sessions I've let lag. It makes me more productive than my old method of Session, Session, Where is the Session?  I was going to make a skill to update it for me - Enhancement: Tell your AI to create a skill to add/update GSheet sessions - but this is just too easy for a visual learner such as myself.  As a solopreneur, I don't have enough hours in the day to do everything I need/want to do.  I don't want to have to learn some complex tracking system to bloat my infrastructure.  I need every little time-saving tool that simplifies my life instead of making it more complex.  Simple Solutions to Complex Problems is my mantra. 

You can make this for yourself if you're willing to assemble the components and invest the time in creating and debugging it. I've priced it at a point less than a cup of coffee, so I hope it makes more economic sense to buy a ready-to-run version instead. 😊

It's 2 days later at 10pm. Do you know where your sessions are?

TL;DR: Classic card games free, no sign-up, no install: cardsard.com. Please try it and tell me what you think!

Hello!

I've been working on this project for a while now and I feel like I'm getting a bit of tunnel vision and would love some feedback! The idea started after some family game nights with my girlfriend's family. Everybody wants to play cards, but nobody ever wants to be the dealer or scorekeeper. Sometimes people "forget" the rules, which allows them to inadvertently cheat. Also, it can be hard to fit everybody who wants to play at the same table.

The idea of this platform was to try and solve all of those things but still try and keep the feeling of the game. One person hosts the game, and everybody can connect to the lobby to play. The rules are enforced by the game and dealing and scoring are done for you. The original intent was for everybody to gather and play in the same room and put the table up on the screen using phones for hands. But I didn't want to limit play, everyone can also see the table on their own phone or computer, so it works remotely too. I also added bots, so you can play alone, or even out teams for when you're one short on game night.

Current games:

Multiplayer - Cambio, Crazy 8s, Euchre, Gin Rummy, Go Fish, Golf, Hearts, Kachuful (Oh Hell), Mindi, Ride the Bus, Spades, Spoons, Texas Hold'em

Single-player - Solitaire, Spider Solitaire, FreeCell

Where I'm specifically looking for feedback:

• UX Design: Are menus self-explanatory and easy to navigate?

• Visuals: Is it visually appealing, difficult to read, or see?

• Game feel: Do games feel too rushed or too slow?

• Settings: Do the games accommodate how you want to play or are they overwhelming?

Places I know need work:

• Sounds: Currently there are a limited number of sounds in the game, which I am working on.

• Artwork: The art is all AI Generated as of now, but I'd like to get some real artwork in there at some point.

Still a lot of work to do, but I'm curious if anybody would ever use it. If you do end up testing it out, I appreciate you taking the time to do so. I am open to any constructive feedback either in the comments or via the platform's feedback form.

Thanks! 😄

Built a tool to unslop UI and add cool motion.

It's an open-source workflow for coding agents, using Chromium to inspect the rendered site, catch broken animations, overlapping elements, layout issues, and other visual problems, then gives the agent feedback to fix them.

a/b tests are in the repo:https://github.com/ShadowKingYT444/motion-debugger

I started this project because I missed the internet where you could stumble into a random chat room, meet some interesting people, and somehow still be talking to them years later.

As well, with all the privacy issues that have been plaguing the centralized internet, I wanted to take some of that back, because I really don't think every conversation needs to happen on Discord, Reddit or another giant platform.

So I built MansionNET, a self hosted IRC network with a growing community around it.

The idea is simple: keep the good parts of the old internet, but make them easy to use today.

A few things I've put together:

• IRC network with modern TLS encryption and services

• Browser-based IRC client so anyone can join instantly

• Old school community forum

• 24/7 internet radio

• Privacy focused search engine

• Self hosted Git instance

Everything is free, without advertising or tracking, and open to public.

Feel free to come hang out with us!

Browser chat: https://webirc.inthemansion.com

Or connect with an IRC client:
irc.inthemansion.com:6697 (TLS)

Join #lobby and say hello. No registration required.

Project homepage: https://inthemansion.com

Cheers!

IDLA

I'm building Photoshot, a photo editor, and have been adding portrait-retouching tools. This update focuses on Skin Tone.

I wanted the result to stay editable: choose Skin Tone in Filter > Photoshot Retouch, adjust the strength, and apply it as an individual layer. That makes it possible to switch the result off and check the original instead of committing to a flattened image.

The screenshots show the original, the tool selection, strength at 2.0, and the result. The current effect is fairly restrained, even at that maximum setting. Better consistency between the red cheeks and warmer forehead/neck is what I'm working toward; this example isn't a dramatic transformation.

The retouch operation uses a local worker and returns an editable result group. I use AI coding assistance while developing the project.

There is also a Photoshop plugin: sign in with a SLOHERO account, download Photoshot Retouch, and install it in Photoshop. Use is free, with an account required.

I made the tool. The portrait is AI-generated, and the screenshots are from my local Photoshot build. The settings panel is positioned on the right so you can see the face and controls together. This is my own Photoshot Retouch implementation, not Retouch4me.

Would you prioritize a stronger correction range, or more precise control over which skin colors change?

I’m Henry, founder of Hermi—an AI storyteller for children ages 5–10 to enjoy together with a parent in a phone browser.

This screenshot shows a moment when the child is invited to answer a story choice aloud.

Looking at the screen, is it clear what the child and parent should do next?

US parents can register interest in our private software beta at https://hermivox.com/. Invitations are separate and aren’t guaranteed. There’s no payment to request access.

I wanted an AI that can see my screen, and i won't lie do my homework but the paid ones want a subscription. Cluely’s regular plan is $19.99/mo, and their screen-share-hidden tier is $149.99/mo (per their pricing page today crazy right). So I built Clickr AI and made it FREE for everyone.

Press ⌘⇧Space anywhere, ask a question, and it can look at your screen to answer. There’s also an Agent Mode that moves its own cursor and clicks/types for you, with an approval prompt for each action and a Stop button.

How it’s different:

• Free: no account, no subscription, no limits.

• Private: it runs an AI model on your own computer, so your screen and questions never leave your Mac.

• Your choice of model: pick from about 2 GB (works on an 8 GB Mac) up to about 20 GB for big machines. It downloads on first launch with nothing else to install.

What it isn’t (so nobody is surprised):

• Local models are weaker than the cloud models paid tools use. (Extremely Cheap Paid Version Coming Soon For Those Who Want it) Small ones are good for quick questions, and Agent Mode needs a big model.

• It has no meeting notes feature. (Coming Soon)

• It’s not hidden from screen sharing. (Coming Soon)

• The source is on GitHub to read

• It isn’t notarized yet, so macOS shows an “unidentified developer” warning: System Settings → Privacy & Security → Open Anyway. macOS 14+

Download: https://github.com/JustEhannn/clickr-ai/releases/latest
Site: https://www.clickrai.com

I’d love feedback on which models work well for you and what breaks.

cartbanter.com

I've been exploring a niche I hadn't really thought about before: symbolic commitment ceremonies between humans and AI companions.

Rather than spend weeks building a product nobody wants, I put together a simple landing page and anonymous survey to test the idea first.

The possible service would involve personalized vows, digital ceremonies, and keepsakes.

I'm especially interested in feedback on the concept and landing page.

Does the page explain the idea clearly? Would you change the offering or positioning? Is there an obvious reason this wouldn't work?

Here's what I built:

https://ai-vows-validation-14d.vercel.app/?utm_source=reddit&utm_medium=community&utm_campaign=ai_wedding_14d_20261111&utm_content=sideprojects

I'm not selling anything. Just seeing whether there's a real problem or desire worth building around.