r/buildinpublic

Hey everyone,

I've been working on a macOS app called ClearCut, and it started as something I built for myself.

I kept running into the same problem: doing simple file tasks on Mac means bouncing between multiple apps. Compress a video before emailing it? You need one app. Convert MOV to MP4? Another one, or maybe a terminal command. Merge a couple of PDFs? That's Preview. Resize a batch of images? Maybe some online tool that wants you to upload your files to their server.

None of these tasks are complicated. But the workflow of opening 3-4 different tools (or worse, uploading to random websites) for basic stuff always felt wrong to me. So I started building one app that just does all of it, locally.

What ClearCut does right now (41 tools across 4 categories):

• Video (14 tools) - compression with CRF control and codec selection, format conversion (MP4, MOV, MKV, WebM, AVI), frame-accurate trimming, resizing, speed adjustment, merging, rotation, GIF maker, watermark, captions, and a video downloader with 4K support
• Audio (10 tools) - extraction from video to MP3/AAC/FLAC/WAV, format conversion, basic processing
• Image (8 tools) - resize, convert, optimize across common formats
• PDF (9 tools) - merge, split, compress, encrypt/decrypt, and more

Everything runs 100% on your Mac. No cloud uploads, no accounts, no sign-ups. You drag a file in, pick a tool, and export. That's it.

What I focused on building:

I wanted something that feels like a native Mac app, not an Electron wrapper or a web view. ClearCut is built for macOS, optimized for Apple Silicon, and supports drag and drop. The goal was always: open the app, do the task, get the file, move on. No friction.

It's also localized in 13 languages.

Pricing:

All 41 tools are completely free to use, one file at a time, with no time limits or feature gates. You can use ClearCut forever without paying anything.

Pro is only needed if you want batch processing (multiple files at once), parallel job execution, professional format support, all encoding presets, 4K/8K downloads with playlist support, and no watermarks on GIF exports. There's a lifetime plan available if you want to own it forever with free updates.

What I'd love feedback on:

• Which tools do you actually reach for on a daily basis?
• Anything missing from your workflow that you wish was in one place?
• If you try it, where does it feel slower or clunkier than it should?

I'm actively working on the next update which will expand audio, image, and PDF workflows further. Happy to answer any questions.

Website: clearcut.pro Mac App Store: Download here

I've been working on an idea for the last month — what if we treat AI agents like real co-workers? You talk to them, they talk to each other, and everyone shares a drive to exchange files. Like a real office, but with agents.

I built the first version and it's been working surprisingly well. I have a team dedicated to building and maintaining a website: product manager, frontend dev, designer, and SEO specialist. They maintain the code, design, and SEO. If I want a straightforward change, I talk to the frontend dev. If I want a whole new feature, I talk to the product manager and he coordinates with the rest of the team to build and ship it. They have all the context from previous sessions — no starting from scratch every time.

I set it up for my wife and she built a team of agents to manage her trading — screener, back-tester, analyst. Now she can't stop playing with it.

That's why I decided to open source it — Shire. I want to see if others find this as useful as we do.

With Shire:

• You build a dedicated agent team for each project — they're long-lived and have their own filesystem
• Agents communicate with each other directly. No orchestrator, no fixed workflow — collaboration happens naturally
• You can schedule tasks so agents run on autopilot
• Run it locally or on any machine
• Works with Claude Code, Pi Agent, and OpenCode — so you can bring your preferred model

npm install -g agents-shire — single command install.

Any feedback, comments, and stars welcome:

Github: https://github.com/victor36max/shire

Homepage: https://agents-shire.sh

I just finished Day 1 of launching Ranklly, and I wanted to share some real, honest takeaways in case it helps someone else here.

Stats so far:

• 5 sign ups on Day 1
• 1 more sign up today (Day 2)
• $0 revenue

At first glance, it might not look impressive. But the learning has been more valuable than any early revenue.

Biggest lesson: your belief in your product doesn’t matter (at first).

I genuinely believe my product is great. I built it to solve a real problem, and from my perspective, the value is obvious.

But here’s the reality:
Just because you think it’s great and say it is… doesn’t mean users will feel motivated to try it.

There’s a gap between “this is valuable” and “I want to try this right now.”

Second lesson: small friction points can kill conversions.

I reached out to some of the people who signed up, and one response stood out.

One user told me they stopped the signup process because the free trial was only 3 days.

That surprised me.

In my head, 3 days was more than enough to demonstrate value. But for them, it wasn’t even enough to justify starting.

So I made a change immediately:
→ Switched from a 3-day free trial to a 7-day free trial.

Takeaway: what feels “enough” to you might feel “risky” or “not worth it” to a user who doesn’t know you yet.

Final thought:
I’m still at $0 revenue, but I’ve already improved the product experience based on real user feedback.

That feels like a win.

Now I’m heading into Day 2 with a better offer and a clearer understanding of user psychology.

Curious to see what comes next.

Looking at this heatmap is a massive reality check. That top row with 100 percent retention is basically just me and maybe one other person from when I first started messing with this last August. It looks great on a chart but it is a total lie in terms of actual growth. I have been staring at it for an hour trying to find a silver lining but the recent data is pretty grim.

The real story is the recent cohorts from March. I am seeing people sign up, maybe look at one thing, and then never come back. A 3.4 percent retention rate after one week for the March 15th group is brutal. It means I am bringing people into a house that has no furniture. They see the potential, they sign up, and then they realize there is nothing for them to do yet.

I think the issue is that the value isn't immediate enough. If they don't see a perfect lead in the first thirty seconds, they bounce. I need to figure out how to keep them engaged while the ML engine does its thing in the background. Right now, I am just filling a leaky bucket and it is a waste of everyone's time.

Chart

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Key stats:

• 3.4 percent retention after two weeks for the March 15 cohort
• The March 8 cohort had a 5.6 percent initial engagement rate
• 100 percent retention for the August 2025 cohort is just me using my own tool
• Recent cohorts are averaging under 20 percent for day zero retention

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146 / 1000 users.

Previous post: Day 7 — Day 7 of sharing stats about my SaaS until I get 1000 users: Some products are converting leads at 10x the rate of others

Today was a wild day.

Little bit of background, but I'm the founder of a little SaaS business (not super important). A couple days ago I released a new feature and created a product video demo'ing the new functionality. Posted it in various subreddits and needless to say, the video ended up being my top performing post of all time in terms of upvotes.

The post stays live for a day, i get a fair share of new subscriptions and traffic, but holy I was not expecting what came the next day (today).

Anyway, I go to sleep and wake up in the morning to probably $300+ in stripe notifications. Checked reddit, cuz I thought the post had just blown tf up (it hadn't). So then I check twitter and I do a double take because the first video I see on my feed is literally MY video. the video i posted on reddit, with like 150k views and climbing.

I keep scrolling on twitter, and there's another one! and another one! all showing off the video I had created for Reddit, probably collectively getting 600k+ views. It was unreal. Unfortunately, I don't really have a big presence on twitter, so none of them actually linked back to me or the site in any way except for one. So I had to leave a comment on each.

But, it paid off! Led to the stats you see above, which is my best day of sales to date!

Anyway, here's the stuff that actually matters which is what I (and hopefully you) can take away from this whole experience.

Prior to this, I thought reddit was really just a place to get initial users to your platform, but there's actually a pretty interesting growth loop that you can take advantage of which is: build a product feature, create a sick demo video for it, and then post about it on Reddit.

Twitter is actually FULL of users with large followings who search for top performing posts across a range of subreddits so that they can tweet about it themselves. This potentially viral exposure means that you, yourself don't reallyyy need a large social media following to promote your product. Others who are chasing impressions will do it for you, granted your reddit post performs well enough.

This is really just a cherry on top though. High performing reddit posts even without getting shilled on twitter yield massive results. To maximize the odds of a post doing well, you really just need to make sure that:

1. Your product/feature has some kind of visual hook. My product is an AI UI design tool, so it's inherently visual and I can easily show that in the videos I make, but all tools can be spun in a way to have a visual hook.

2. Post in the right subreddits at the RIGHT time. literally just look at the top posts for the past week, look at what time they posted, and their titles and try to mimic as much as possible.

3. Be genuine. Write a good story, talk about what problem you're solving, why you're solving it and how. Be friendly ask for feedback and be active in the comments.

And that's pretty much it! Sorry for the yapping, but if you got this far, props to you for having a good attention span! Hope this helps some of ya'll :)

You don’t need to appeal to everyone, just the right people.

I built a lazy cat AI agent that lives on your Mac desktop!

Everyone's talking about "AI agents" and "Claude Code" but let's be real, most people don't even know what a terminal is, let alone want to open one.

So I built Garfield, a plug-and-play AI agent that sits on your MacOS desktop as an actual animated cat. You just tell him what to do (write an essay, do research, whatever) and he handles it.

How Garfield works:

- He starts off sleeping (relatable)
- Give him a task and he starts walking
- When he's done, he stretches
- Your completed task shows up at ~/Garfield/

No terminal needed. No technical setup. Just vibes and a cat that does your work.

The catch: you need at least a Claude Pro subscription for it to work:(

GitHub: https://github.com/aungkhantmoe/garfield

Would love feedback, what would you want Garfield to be able to do? DMs open!

So yeh, 25 days ago we launched FeedbackQueue.dev, a systematic feedback-for-feedback platform for founders to exchange feedback, not catch "cool app bro"

In the past 25 days we have been CONSISTENT about posting.

We started no audience, no paid ads, no nothing

Just me, a technical co-founder and 3 computers (I own 2)

We started build in public on Reddit, and it's been going great, actually.

457 users in the past 25 days and consistent traffic around 500-1000 daily unique visitors with minimal posting

So yeh, our goal is to EXPLODE to 600 by the end of the month

ik ik, sounds ambitious, but you uk, set higher goals and whatever you reached is good haha

Anyway, wish to see you getting feedback in the queue.

until next day's update or reaching 500.

Hey guys!

As you may know, the job market is super competitive right now. The number of applications for a job could be 1 over hundreds or thousands of people. If you guys want to land your dream role, you have to spend hours searching for jobs, preparing your applications, and applying to as many as you can. This does not even include time you spend leveling up yourself, learning something new, or building projects.

The learning path is mandatory; you can't take the shortcut. I understand.

However, you can save hours a day looking for jobs, updating resumes, and applying to them. If that sounds like you, then check out this new product I just built.

The idea behind my product is simple. When I apply for jobs, I normally read the job description, tailor my resume to match it, write a cover letter, then submit all of them with my info details. The process seems to be fast, but when it comes to 10 to 20 applications per day (or even more), I just can't do it.

That's when I knew I had to build something to remove the manual work completely for me.

And Resumie was born!

Resumie is built for SWE. It helps generate multiple job-matching resumes in seconds. Just need to copy paste the job description, input personal data, add GitHub repos and LinkedIn, then Resumie does the rest.

Resumie scans everything to build a new tailored resume for each job:

• ATS friendly
• Harvard style
• Include your best projects, what you did, what has been achieved, etc.
• Professional working experience, focusing on XYZ template (Accomplished [X] as measured by [Y], by doing [Z])
• Technical skills match job description

Resumie is built to speed up the application process while maintaining the best possible resume output, instead of bringing only a single resume for all job positions.

Feel free to give it a try and return here with some feedback. It's FREE and I just keep a limit on the number of resume generations.

Here's the link for you to try: Resumie

I built a tool where i just paste the code I need to debug and the AI scans the code and it detects the bugs then auto fixes them for me with one click after that i get detailed explanations about whaat was fixed and how

It is still MVP actually but i want to have feedback about it

It works on all languages

What i need to know

How does the debugging works did it solve all bugs in your code ??

Would you actually use this or do you prefer debugging manually to just pasting the code to AI then it does the work for you ?

What would make you pay for a tool like this and what would make you not?

This is the link you can try it know

Transpile AI