r/software

Hey I’ve been doing video editing on and off for a few years now and been using CapCut and recently got a scholarship at my college for making videos and making post for the marching band (hooray)! I’m looking forward to making them but I’m trying to look for a good video editing software to use other than aforementioned CapCut the university is willing to pay for it but I don’t think they will monthly? Also hoping to help edit my friends video on the side. If you have any recommendations or comments LMK PRETTY PLEASE

EDIT: maybe try to do some light handed animation too? Have things move around on the screen and maybe some drawing too idk yet

TL;DR I guess what I’m asking for is a good video editing software for one time pay no monthly subscription for #lit edits and video editing

Hi everyone,

Reposting my small open-source Windows app called **Simple Screen Recorder**.

It is meant to be simple, lightweight, and easy to use. No accounts, no cloud features, no bloated interface — just open it, choose what to record, and start recording.

It uses **ScreenRecorderLib** for the recording part, with a simple Windows interface built around it.

Main features:

- Record full screen

- Record one monitor

- Record a selected area

- Record system audio

- Record microphone audio

- H.264 / H.265 support

- 30 / 60 / 120 FPS

- Quality control

- Optional 3-second countdown

- Tray controls

- F9 to start, F10 to stop

The goal is to keep it a clean, lightweight Windows screen recorder that does the basic things well without feeling heavy.

GitHub: https://github.com/nmd-113/SimpleScreenRecorder

Feedback is welcome, especially on usability and keeping it simple.

What makes this pattern so elegant to me is the familiarity of its experience. I don't know about you, but I've been annotating books and taking notes with pencils and pens for almost my entire life, and this is often the most engaging and soul-lifting experience. There is a je ne sais quoi in this interaction that makes me feel closer to, if not part of, the thing I'm reading. This is a physical annotate-in-place, and it works beatifully.

I've been long searching for a cognitive bridge between the ergonomics of putting pen to source text with the infinite flexibility of a software solution. annotate-in-place is the pattern that provides that bridge, and org-remark in Emacs is one implementation of that pattern. With it, digital note taking feel as intuitive and ergonmic to me as note taking on a physical medium.

Not the flashy or famous apps.

For me it’s probably Wispr Flow (which actually may be considered flashy or famous now). Didn’t expect to use it nearly as much as I do.

I'm graduating this semester and as most students I'm very worried with the future of software engineering, especially with starting positions being less valued now with agentic coding tools like Claude.

Software Engineering and architecture has been my favorite area, even though I have some liking for others like AI, Cybersec, etc. But I'm seriously questioning whether it's the smart choice currently. Should I pivot to AI? Do a masters on LLMs or something maybe? Or maybe another option? Or am I overreacting and should keep on the Software Engineering path?

Is it over after all, even though there are optimistic people saying it's not? I mean, even if Claude won't replace all of us wouldn't the increase in productivity will mean less jobs and less pay simply because of supply and demand?

Would really like some realistic, critical advice here.

justvoiceit is a daily, anonymous audio gathering where voices appear for one hour and then disappear — a place for people who want to speak without being remembered, judged, or tracked.

Personally I'm using these but curious to see what are your setups..

Video: Potplayer

Pictures: Faststone

Music: Foobar

Hi, I have been working on a project for the last couple of weeks. Now I feel that this project needs people to participate, contribute, and build a robust knowledge base. But I am not quite sure how to look for contributors for my project. Tried posting in some Reddit subreddits, but either getting no response or moderators deleting the post, saying I am doing self-promotion.

Need your expert suggestions, please ...

Turns out: very visible. Yesterday's scan found 185 out of 185 engagers on a single repo were bots. Not 90%. Not "mostly suspicious". Every single one. The repo had zero legitimate stars.

What I built

phantomstars is a Python tool that runs daily via GitHub Actions (free, no servers):

1. Scrapes GitHub Trending and searches for repos created in the last 7 days with sudden star spikes
2. Pulls star and fork events from the last 24 hours per repo
3. Bulk-fetches every engager's profile via the GraphQL API (account creation date, follower counts, repo history)
4. Scores each account on a weighted model: account age (35%), profile completeness (30%), repo patterns (25%), activity history (10%)
5. Detects coordinated campaigns using timestamp clustering and union-find: groups of 4+ suspicious accounts that engaged within a 3-hour window
6. Files an issue directly on the targeted repo so the maintainer knows what's happening

Campaign IDs are deterministic SHA-256 fingerprints of the sorted member set, so the same group of bots gets the same ID across runs. You can track a farm across multiple days even as individual accounts get suspended.

What the pattern actually looks like

It's remarkably consistent. A fake engagement campaign in the raw data:

• 40-200 accounts, all created within the same 1-2 week window
• Zero original repositories, or only forks they never touched
• No bio, no location, no followers, no following
• All of them starring the same repo within a 90-minute window
• The target repo usually has a name implying it's a tool, hack, executor, or generator

Today's scan: 53 active campaigns across 3,560 accounts profiled. 798 classified as likely_fake. The repos being targeted are mostly low-quality AI tools and "executor" software that needs manufactured credibility fast.

Notifying the affected repo

When a repo hits a 40%+ fake engagement ratio or a campaign is detected, phantomstars opens an issue on that repo with the full suspect table: account logins, creation dates, composite scores, campaign membership. The maintainer sees it in their own issue tracker without having to find this project first.

Worth noting: a lot of these repos have issues disabled, which is a red flag on its own. Those get skipped silently.

Why I built this

Stars are how developers decide what to evaluate, what to depend on, what to recommend. When that signal is bought, it affects real decisions downstream. This started as curiosity about how measurable the problem was. The answer was more measurable than I expected.

It's part of broader research into AI slop distribution at JS Labs: https://labs.jamessawyer.co.uk/ai-slop-intelligence-dashboards/

The fake engagement problem and the AI content quality problem are really the same problem. Fake stars are the distribution layer that gets garbage in front of real users.

All open source. The data is append-only JSONL committed back to the repo after every run, queryable with jq.

Repo: https://github.com/tg12/phantomstars

Findings are probabilistic, false positives exist, the README explains the full scoring model. If your account shows up and you're a real person, there's a false positive process.

Questions welcome on the detection approach, GraphQL batching, or campaign ID stability.

CCleaner and TreeSize used to be my go-to tools. Both have since become subscription-gated and ad-funded bloatware, so I built a replacement.

NeatDisk is a free disk utility for Windows 10/11, written in Rust with a Tauri UI. 12 tools in one interface:

• Duplicate file finder (multi-phase: size grouping → partial hash → full MD5)
• Junk cleaner — temp files, browser caches (Chrome/Edge/Firefox), Windows Error Reports, Recycle Bin
• Disk analyzer with interactive treemap — click folders to drill in
• Driver store cleanup — removes old DriverStore packages, often recovers several GB
• Large file finder, empty folder finder, stale file finder
• Disk health monitor (S.M.A.R.T.)
• Startup manager, app uninstaller, restore point manager
• Weekly scheduler via Windows Task Scheduler

Everything above is free. There's a Pro tier that adds perceptual image matching (dHash) and unlimited large file scanning.

Website: emiljohansson.info/softwares/neat-disk/ Source: github.com/p145085/NeatDisk

Happy to answer questions or hear feedback.

Aren't they like unusually high?

I'm an engineer ..i have 3yrs experience and have been working in the same team..ebery time i push anything to prod I really want to do very good testing

One intern has joined my team.. all he does is use copilot and randomly fix thngs.. if i ask did u test he'll be like yea ..

Do u guys really think this is how it'll work? I feel all this will lead to many prod issues in the future..and who'll take the blame??

Currently rebuilding a portal with framer and trying to validate the long-term architecture before restarting development.

The platform is intentionally lightweight:

V1: simple viewing experience.

Potential V2:

• lightweight client authentication
• each institutional client only accesses assigned subjects
• simple comments / validation workflow

Question for experienced Framer builders:

Have you successfully built and maintained this kind of private B2B portal in Framer long-term ?

Or does this start becoming a better fit for:

• Softr
• Podia
• Webflow Memberships
• other portal-oriented tools ?

Trying to avoid overengineering and future technical debt...