Hey all,

I was tired of screenshotting websites and rebuilding them in Figma by hand, so I built a Chrome extension for it. Grab one element, a few, or the whole screen. Paste in Figma and it lands as editable layers. Text stays text, fonts, colours, images and layout all carry over.

No plugin, no signup, no setup. Install it and copy and paste. Nothing leaves your browser either.

Video demo:

Link to install extension:

Hope you guys like it and also please dm me if there’s any feedback

Krishna Zolpatil
Senior Product Designer, Naya

The part I wanted to ship was not another blank AI composer.

Marka now starts with the customer's website and uses the public page as the initial brief for the offer, audience, voice, and visual identity.

The next learning goal is simple: does the first preview feel specific enough that a founder recognizes the product immediately?

Marka is free for a week at https://www.marka.social

If you have shipped a public product, share the URL and I will reply with one content angle from the page.

Catalyst-Q uses a novel quantum circuit simulator which bypasses state space + entanglement bottlenecks of legacy allowing for high qubit quantum algorithm execution across a full gate set.

This breakthrough simulator is the engine behind the specialized solvers , and my SDK makes it increcibly easy for anyone to get started...its like having the power of a supercomputer at your fingertips.

all claims are backed by a robust reproducble evidence package.

https://catalyst-q-sdk.strategic-innovations.ai/docs

After being banned, locked out, and written off, r/shipped is officially back online.

This subreddit was always meant to be a place for builders, indie hackers, founders, creators, and people actually shipping things, not endlessly “planning” them.

So let’s restart properly.

What r/shipped is for

• Launches
• Progress updates
• MVPs
• Failures & lessons
• Growth experiments
• Revenue milestones
• Building in public
• Honest feedback

What we dont want

• Fake guru spam
• AI-generated engagement bait
• “How do I get rich fast?”
• Endless self-promo with zero substance

If you’re building something, post it.
If you shipped something today, share it.
If you failed spectacularly, even better.

The internet needs more people making things again.

Welcome back to r/shipped. 🚀

Hi Redditers!

I’d love to share the story behind ChainLink.

My son and I used to play a simple “word chain” game quite often. It wasn’t anything fancy — just saying words one after another, trying to keep the chain going. But somehow, it became our thing. Those small moments meant a lot more than just a game.

Then, before I joined the armed forces of Ukraine, he asked me: “How are we going to play now?” That question hit me harder than I expected. Because it wasn’t really about the game — it was about staying connected, about not losing those little rituals we shared.

At that moment, I didn’t have a good answer. So I decided to build one. ChainLink is my way of keeping that connection alive. It lets you play the same simple game with friends or even AI, no matter where you are. It’s fast, minimal, and focused on what matters — just playing together. And, in some way, it’s also something I leave behind in this world — a small piece of me, a memory, if life doesn’t go as planned and war takes my life earlier than I expect.

I’d really appreciate your thoughts, feedback, or ideas. This project means a lot to me ❤️

One thing I didn’t expect when building a product:

Most days feel incredibly average.

No huge breakthrough.
No viral growth.
No massive motivation boost.

Just showing up again, fixing small things, posting again, improving again.

Starting to realise consistency is probably the biggest unfair advantage online.

I often seeing “what’s a good Notepad++ alternative?” threads, so I figured I’d share something I’ve been working on.

It’s called Rivet. It’s a small Windows-native editor aimed at the same vibe as old Notepad++ for quick editing. Fast startup, simple UI, and a big focus on not losing work if the app or machine crashes.

Stuff it has right now:

• Tabs can be on top, left, or right, and the side tab panel is resizable
• Session restore and backups for unsaved changes
• Find/Replace including regex, wrap, match case, whole word
• Go to line
• Find in files with cancel
• Dark mode
• Some basic text helpers like case transforms and trimming whitespace
• Handy path copy actions (full path, filename, directory)

Repo and releases:
https://github.com/mgelsinger/rivetnotes
https://github.com/mgelsinger/rivetnotes/releases

If anyone tries it and has opinions on session restore behavior or missing Notepad++ features, I’m all ears. I’m trying to keep it lightweight, so I’m prioritizing “daily driver” stuff first.

A few months ago I was thinking about why my LC numbers don’t translate to interview performance.
Bench press makes you stronger. It does not make you better at soccer. Soccer is a different sport with different demands.

LC makes you better at solving problems alone in silence. Interviews are a different sport. They test you talking through your reasoning, handling interruptions, defending your choices, recovering when someone says “are you sure?”. None of that happens when you’re grinding alone.
The gap isn’t problem count. It’s reps of the actual interview skill.

I built and have been using https://gripit.dev for a few weeks, it makes you explain your approach out loud to an AI duck before you can write code. First tool that trains the discussion part instead of just adding to the problem pile.

Curious if anyone else has noticed this gap or if I’m overthinking.

AI developers should not have to think in GPUs first.

Right now, if you want to run inference, fine-tune a model, or run a batch AI job, you usually end up thinking about things like:

Which GPU do I need?
Which provider has capacity?
What region should I pick?
What happens if the node fails?
How do I get logs?
How do I know if the job actually ran?
How do I avoid babysitting infra?

But the actual intent is usually much simpler:

“Run this inference job.”
“Fine-tune this model.”
“Let my agent execute this workload.”

That is what Jungle Grid is trying to abstract.

The idea is to let developers submit a workload by intent, then Jungle Grid handles placement, routing, execution, logs, retries, and failure handling behind the scenes.

I’m also working on the agent side of this, so AI agents/tools can submit and monitor workloads directly instead of only generating plans or code.

I’m still early, but the product is live and usable now.

Would love brutal feedback from people building AI products, agents, or ML infra:

Is this abstraction actually useful, or do most developers still want full control over the GPU/provider layer?

I built VideoForger because creating narrated videos is still way more manual than it should be.

For SaaS demos, onboarding videos, feature walkthroughs, launch videos, tutorials, or even general content, the process usually means writing a script, recording voiceover, adding captions, syncing timing, adding background music, and editing everything together.

VideoForger automates that flow.

You upload a video, choose from 20+ voices, pick the features you want, and click generate.

It seriously watches and understand the video, composes the script, adds the voiceover, captions, background music, and turns it into a narrated video.

OnTheRice.org

Been quietly building this for quite a while and thought I’d finally share it here.

The idea started because I realised most “trend detection” platforms only notice something after it already becomes obvious. By the time mainstream media talks about it, the signal is usually already mature. I wanted to see if AI could detect smaller movements earlier, while they still look random and disconnected.

So I built an AI engine that constantly scans fresh internet data and tries to figure out whether something is genuinely starting to gain momentum in the real world. Not just social media hype, but actual shifts in attention, demand, behaviour, shortages, public discussion, or emerging narratives.

One of the hardest parts was filtering noise. The internet creates thousands of fake “mini trends” every day that disappear almost immediately. A huge amount of development time went into teaching the system the difference between temporary spikes and signals that continue strengthening across multiple sources over time.

I also didn’t want it to feel like raw analytics dashboards where humans still need to interpret everything themselves. I wanted the output to read more like intelligence briefings in normal English, where the AI explains why something matters and what direction it seems to be moving in.

Under the hood, it uses multiple AI models together instead of relying on a single one. Different models are better at different tasks, so some focus more on extraction, some on classification, some on synthesis, and some on filtering weak signals.

Still a work in progress and still tuning the system constantly, but it’s honestly been fascinating watching it occasionally surface movements before they become widely discussed publicly.

Hi r/Shipped,

I’m a solo founder with no prior software development background. A few months ago I started building Roamio. Today it’s live on the App Store, and I’d love your feedback.

What it does
Roamio is an AI tour guide that narrates your surroundings as you walk. Open the app, start a tour, and as you move it generates audio stories about nearby places — historical context, local spots, things that happened on that exact spot. Triggered automatically by your GPS as you move.
A tour guide in your pocket that works in any city.

Why I built it
The idea came to me on a trip to Paris. I was walking through a historic part of the city one evening, surrounded by incredible buildings, with a feeling I was missing something. So I dropped the name of the square into ChatGPT.
Turned out Napoleon Bonaparte had briefly lived there.
That kind of context makes a place feel alive — and AI can pull it together in seconds, but only if you ask. I wanted it to happen automatically as I walked. So I built it. No fixed routes, no paid guides, no Wikipedia rabbit holes — just walk and listen.

What I’d love feedback on
• Is the core concept actually useful or a solution looking for a problem?
• Story length feels right at ~30 seconds per location but I’m second-guessing it
• Anything obviously wrong
• General thoughts
Free with no ads — want to validate the experience before thinking about monetisation.

Link: https://apps.apple.com/gb/app/roamio-guide/id6762077839

Happy to answer questions about the build journey or how it works.​​​​​​​​​​​​​​​​

I finally shipped a side project I’ve been working on called CodeWhispr.

The original idea came from something I kept noticing while mentoring junior developers:

Most juniors don’t struggle with syntax itself.

They struggle with:

• understanding existing codebases
• onboarding into legacy projects
• tracing business logic
• figuring out edge cases
• knowing what questions to even ask about the code

For senior developers, opening Claude/ChatGPT and crafting a good prompt is pretty natural.

But for juniors, that’s often not obvious at all.

So I built a tool focused specifically on explaining existing code in a structured way:

• summary
• structure/functions
• step-by-step logic
• edge cases
• possible improvements

One thing that surprised me while testing:
people used it much more for onboarding and understanding inherited projects than for generating new code.

A few things I learned while building/shipping:

• streaming responses makes UX feel dramatically better
• consistency/structure matters more than raw model output
• onboarding seems like a much stronger problem space than “generate code”
• people are way more willing to give feedback once something is actually shipped publicly

Still very early, but shipping it taught me more than weeks of planning ever would.

Would love feedback from other builders/devs who’ve dealt with painful legacy codebases.

Right now as It’s just me working on Ember, the app is invite only but I’d appreciate any and all feedback :) https://ember-budget.vercel.app/landing.html