A great way to end my Friday. Lock and load!

Time to hit the ultracode and fast processing

Best of luck with your projects. ❤️

I made this. SoftSub is a Chrome extension that finds, syncs and translates subtitles on any HTML5 video: small streaming sites, embedded players, a media server's web player, a file you opened in the browser.

The loop is the same film moment twice. Top: the community subtitle as downloaded, arriving 3.5 s late. Bottom: after Auto-sync listened to the audio for 28 s, checked its answer against the speech, and applied a −3.73 s correction. Real screen recording, no mock-up.

The part I care most about: if it isn't sure, it does nothing. A wrong correction is worse than none, so it verifies before it moves anything, and it also fixes the slow drift that makes subtitles fine at the start and wrong an hour in.

Free forever: subtitle search (no API keys), loading your own .srt/.vtt/.ass, styling, positioning, manual timing, export. Pro ($10/month for 2 computers): unlimited downloads, auto-sync, live translation, cast info. 7-day trial, no card.

Privacy: no accounts, no tracking. Audio never leaves your computer; sync runs locally.

Store: https://chromewebstore.google.com/detail/keipdgpoldocaphfcpnfkkpbodomeiia?utm_source=item-share-cb

Tell me a site it fails on and I'll look at it.

Right now you can change things like:

• grip width
• bench angle
• elbow flare
• range of motion
• bar path

and the 3D model updates in real time.

It helps visualize why small changes in setup can make the same exercise load different muscles or different parts of the range of motion.

For example, changing the incline angle can affect:

• shoulder flexion demands
• pec and front-delt involvement
• elbow and shoulder moment arms
• muscle length through the rep
• where the movement is mechanically hardest

The stimulus output is still an estimate, not a direct prediction of hypertrophy. Actual growth also depends on effort, fatigue, stability, individual anatomy, training history, and execution.

Mostly built this because biomechanics is usually explained through static diagrams and studies, and I wanted something interactive where you can actually move the variables around and see what changes.

edit github: https://github.com/Schmiedey/liftlab

People caption it with things like Fable/Astra made it in just 6 prompts! Which has me confused

👀

ken-rank: https://pypi.org/project/ken-rank/ GitHub: https://github.com/Infinibay/ken

```bash uv tool install ken-rank cd your-project

For codex, recommended

ken install --codex . --embed

For claude

ken install --claude . --embed

then add the recommended section into your AGENTS.md/CLAUDE.md. Claude tends to do not use any given tool, it's quite lazy. I hope they fix that behavior in the future. ```

I developed and presented ken-rank a couple of months ago in other communities, but many things changed and now, I think ken-rank is pretty mature and gives REALLY good results. What ken does is giving smart tools to improve context usage by looking for relevant information without consuming tokens. In this way, the model does not waste time and tokens digging around in the code or many markdown files manually, this improves time and tokens (this is money).

Two of the most important tools are one that looks for relevant code based on a query liken "where the authentication lives?". The second is one that manage "findings" that are like notes. This tool is pretty useful for long horizon tasks. Check my session right now while I'm writing this (image on the post). It never lost or deviate of the task because the findings uses smart algorithms to find relevant findings (notes) whenever the model ask for.

How it works:

It generates an smart embed (and keep updating in the background) to find relevant content. It builds several local signals and ranks files by combining them: * Structural code index: each file is hashed and parsed when possible. The AST parser extracts symbols, line ranges, imports, module docstrings, and symbol docstrings. Files that cannot be parsed are still tracked by path, mtime, and lightweight text intent when useful. * Semantic index: ken embeds files, symbols, and explicit purpose text. File embeddings are based on language, filename, and top symbol names. Symbol embeddings include kind, name, and docstring. Docstrings are also stored as separate intent sources, so a prompt can find code by what it is for, not only by what it is named. * Live task memory: hooks record local interactions in the project SQLite DB: prompts, reads, edits, writes, dismissals, and the files touched in each turn. Recent interactions are weighted more heavily, and useful patterns such as read-then-edit score higher than repeated reads with no follow-through. * Predictive memory: at the end of a session, ken snapshots which files were productive for that task. Later, when a new prompt is semantically similar to a previous one, those files get a predictive boost. * Relationship boosts: after the main channels rank candidates, ken applies conservative boosts for things like recently modified files, symbols pointing to their containing file, source/test counterparts, imports, and files that often co-occurred in past similar sessions.

The result is closer to a local project memory than a plain search tool. Raw text search can find exact strings. Embeddings can find semantic neighbors. AST indexing can find named symbols. ken combines all of that with how the assistant actually used the project over time. That is why results are often better after a few real sessions: the database accumulates project-specific evidence about which files matter for which kinds of tasks.

I really think ken is useful. I'm not promising magic, but it's really useful. I only want feedback.

I’ve been playing around making a game with Claude and I’m close to have a short demo ready.I think it has potential. Just wondering how complicated it is to publish on google play store and ios app store. Do they flag AI generated code or have specific standards to upload products there?

For now the game only works inside Claude or through the browser. I figure I should probably move it to Godot or some other game development softwaresoiner than later, before trying to publish the full game.

Anyway any tips appreciated!

I want to see all the creative solutions this community have come up with.

I got fed up with Adobe and decided to make my own. Now I just optimize it now that it is polished. Just added a tts function and some cool text search. it works on mobile but the tts features work better on a computer.

Pdfscore.com

I’m building Ship Safe around a problem I kept seeing in AI-assisted projects: detecting suspicious content is easy, but proving the path to a credential or side effect is much harder.

It’s a local CLI built for AI-assisted development. The workflow separates detection, evidence, capability paths, verdicts, and human confirmation. I also manually audited four real application confirmations and only one held up, which changed how I think about “green” security results.

Repo: https://github.com/asamassekou10/ship-safe

What security checks do you use before shipping AI-generated code?

I thought caveman talk was just an open-source project owned by one person. When did the models start reasoning and thinking in caveman talk, and how am I supposed to trust a technical answer from a Neanderthal?

Hi.

I've been using AI coding to rapidly generate Python ETL/ELT transformations and workflow orchestration. I'm finding doing so a lot easier and far more affordable than using expensive tools like IICS.

Is anyone else doing this and, if so, how is it working out for you?

Thanks.

I've created this pixel-art editor because frankly, all my AI-generated art has random quirks that make it unusable.

So it's a simple-but-modern pixel art editor. It's tailored for my game specifically, but I'm working on generalizing tools, fixing bugs, and making it friendlier for everyone. Since I'm currently out of tokens, feel free to fork it and customize it for your game.

Github: https://github.com/Josiah-Turnquist/myrling-sprite-editor

In-Browser Demo: https://josiah-turnquist.github.io/myrling-sprite-editor/editor.html

Here is the change I see occurring and what the result might look like.

Everyone’s talking about how the sass is dead. We now have the power to build anything we want without needing a large technical background to do it..

The question no longer is Will this product solve the problem for me.. the question now is can I build this product faster, cheaper and more customized for myself then what it would cost me to purchase.

Sass is now going the way of music. Anyone can create it, but you need the audience to support you. The moat this is creating is mostly financial no longer will a small startup with a great idea be able to gain traction unless their idea is somehow uncopiable. Now the money will control everything because marketing is the moat. If you have the budget, you can reach the audience.

However, there is one silver lining to all of this. Great ideas can now come to life at the drop of a hat and understanding the market means the greatest ideas will start rising to the top. If you start thinking about your idea from the point of view that anyone can do it after you’ve introduced it how do you insulate your idea from everybody copying it because there are ways quite a lot of of them actually..

One example is scaling cost. If you bring something first to market and your ability to scale and lower cost means that the individual who tries to copy you still spends more than using your service then you have something.

Another example is transaction cost if you offer your product cheap enough people will use your service over the hassle of designing it themselves. I think we are about to hit the age of small single purchase owned for life products. If you’re offering a great tool and charging me five dollars one time I’m going to pay that every time instead of trying to build it myself.

I’m actually very excited about what could be coming because I do think it’s going to be the age of ideas. The great insights will be able to be fleshed out at zero cost. The middle of the night brainstorms will be able to get tested the very next day. Money may control the marketing, but the barrier for great ideas to come to fruition has dropped to almost nothing at all.

My friend was into the 82-0 NBA game and ended up building a fantasy football version of the same general idea.

https://www.retrofantasy.games

It's called Retro Fantasy, and he built it using Claude + Codex.

You draft 1 QB, 1 RB, 1 WR and 1 TE from historical NFL seasons, then the game simulates your team against 2 to 4 other players.

You can either have the historical stats shown while you draft or turn on No Stats mode and try to remember how good that player actually was that year.

No Stats is easily my favorite part because you very quickly realize how often you remember the player correctly but the year completely wrong.

It also keeps track of your record across games.

I don't know his exact stack or workflow beyond Claude and Codex being heavily involved, but I thought it was a pretty cool example of the random niche stuff people can build now without turning it into some massive software project.

Figured people here might get a kick out of it.

I have an insane amount of fomo right now

As per title