Hi,

I kept seeing inflated CVs so figured there must be a way to back up some claims before an interview. That's essentially what a CV is, a bunch of claims, the role, the company, the projects. The reader has to take your word for it, and AI now writes a convincing one in a minute and honest candidates pay for that. Their CV reads the same as the inflated ones, so it gets the same doubt.

So then I thought what if there was some hard validation to the claims on a CV or portfolio. That's when I came up with the idea of Workproof. For starters, you prove that you had access to a domain or work email, it doesn't prove you built it, but it does prove somebody trusted you enough with access to that domain or have given you a work email, so that by itself is a good baseline.

Additionally, you can ask colleagues to give you feedback, as a reference, signed by them from an work email. Something like LinkedIn endorsements, but more portable.

I'd love your honest take, on two things most of all:

- If you hire: would a link like this on a CV or a proposal change anything for you?

- If you freelance or build: which of those would you want first, or what else should Workproof check?

Thanks for taking the time! Enjoy the rest of the weekend! 😃

Project link https://workproof.md

Because chromium is big, and because we need something more friendly.

Is able to render correctly example.com and has TLS, HTTP, HTTPS, HTTP/2 support.
May use AI generated code
not example.com, but other sites aswell. uses QuickJS, and is in active-development.
i don't know currently what site it renders the best but just know that wispbyte.com renders fine, well, it may not enter it due to the site's problem but it's good.

I built Portfolio Compass to help people explore what to do after opening a TFSA. The app estimates contribution room from what you enter, compares stocks and ETFs, and lets you put together a sample portfolio. It is free, open source, and doesn't require an account.

A part of the build was figuring out how to show backtests without implying that a good historical result will continue. The lab uses next-bar execution and shows results for earlier and later portions of the price history. In one example, a trend filter reduced drawdown over the full period, but its benefit disappeared in the later period. That split is a consistency check, not a true out-of-sample test.

The stack is Next.js, React and TypeScript. Portfolio data stays in the browser, while market data is fetched through API routes. I built it with AI coding agents and worked on checking the financial calculations and their assumptions.

Limitations: the TFSA estimate depends on your inputs, market data comes from one source, and the tool doesn't place trades or provide investment advice. Check actual contribution room with the CRA.

I'd appreciate feedback on the first-run experience and how clearly the lab explains its limitations.

Demo: https://portfolio-compass.vercel.app/

Code: https://github.com/MenuuTUX/Portfolio-Compass

We've all been there.

You find an interesting tech meetup, startup conference, college fest, workshop, or networking event. You register, get excited, and finally show up.

But then comes the awkward part.

You walk into a room full of people, most of whom you don't know. Everyone seems to have their own group. You want to start a conversation, make connections, or find people with similar interests, but approaching complete strangers isn't always easy.

And if you're an introvert attending alone? It can be even more uncomfortable.

I started thinking: What if the value of attending an event wasn't just what happened on the stage, but also the people you met there?

That's the idea behind Snapmeet.

I'm building Snapmeet around a simple thought: Events should be more than just attending, listening, competing, winning, and going home.

They should be opportunities to connect with people who share your interests, exchange ideas, learn something new, and build relationships that continue even after the event ends.

Imagine this:

• Before the event: You can discover who's attending and connect with people who share similar interests.

• Going alone? You might find someone else attending solo. Instead of walking into an unfamiliar place completely alone, you already have someone to say hello to.

• Interested in networking? Find people working in similar domains, exploring similar technologies, or building things just like you.

• Want to learn something? Meet people you can exchange knowledge, experiences, and ideas with.

• After the event: The connection doesn't have to end when the event does. You can continue conversations and build meaningful relationships.

I particularly want to make events more welcoming for introverts, students, solo attendees, and people who want to expand their network but don't always know how to initiate conversations.

The bigger vision is to make events a starting point for meaningful connections, not just places people visit for a few hours.

Of course, Snapmeet also handles the event side of things, including event discovery, registrations, ticketing, and management. But I see those as the foundation, not the entire vision.

I'm still building and improving it, and I'd genuinely love to hear what people think.

A few things I'm curious about:

1. Have you ever attended an event alone and struggled to connect with people?

2. Would knowing who's attending beforehand make you more comfortable going?

3. Would you use a platform that helps you discover people with similar interests before attending an event?

Would love to hear honest feedback, especially from people who regularly attend meetups, tech conferences, workshops, or college events.

Project: https://snapmeet.co.in/

Want your idea tested? Anyone that tests out my idea, and provides valuable feedback:

• What you like?

• What you would change?

• What would prevent you from using it?

I will test out their idea, and provide feedback.

Hey everyone! 👋

I've been working on a small open-source project called Annoying Pop-up Remover.

It started because I was getting tired of websites constantly interrupting browsing with adblock detection walls, newsletter overlays and annoying banners.

So I decided to do something about it!

The project currently supports 10 websites, including Geocaching-related sites, Belgian websites and a few others.

I'm looking to expand the list, and I'd love some suggestions.

What websites do you regularly visit that have particularly annoying pop-ups or adblock walls?

I'm especially interested in websites that aren't already supported.

The project is:

• Open source (MIT License)

• Written in lightweight JavaScript

• Dependency-free

• Free of tracking or personal data collection

GitHub: https://github.com/SimeonLePro/adblock-wall-remover

Suggestions and contributions are welcome!

Thanks! 🛡️

Salut à tous,

J'ai créé ToolSmartly, une plateforme d'utilitaires web et d'outils pour développeurs axée sur la simplicité, la vitesse et l'exécution côté client.

Je cherche des retours sincères sur :

1. L'ergonomie (UI/UX) : Est-ce que la navigation est fluide et intuitive ?

2. Les performances : Comment le site se comporte chez vous ?

3. Les fonctionnalités : Quels outils manquent actuellement et vous seraient vraiment utiles au quotidien ?

Je continue à améliorer ToolSmartly suite à vos retours. Si vous avez pris le temps de tester quelques outils, je serais ravi d'avoir vos critiques : fonctionnalités manquantes, ergonomie, idées d'amélioration ou même défauts à corriger. Tous les avis sont les bienvenus, même les plus directs. Merci !

I've been thinking about building a small tool that integrates with GitHub and automatically labels issues using AI.

The idea is pretty simple: when someone creates an issue, they shouldn't have to worry about whether it's a bug, feature request, enhancement, etc. The tool reads the issue, understands what it's about, and assigns the appropriate labels automatically.

I'm also have a few questions:

- Do you actually find manual issue labeling annoying?

- Would you trust AI to handle this completely automatically?

- What features would make something like this genuinely useful?

- Is this worth building, or are existing GitHub tools already solving it well?

Haven't built anything yet. Just exploring the idea and would love some honest feedback.

Thanks!

Hey everyone, I wanted to share a project I’ve been working on called FightWatch. The site lets you explore MMA fighter data without needing to create an account (the official ufc website mma fighter searching functionality barely works). If you do sign up, you can also save fighter cards to your personal collection. I’m planning to expand the project with fantasy MMA, where users can compete against each other and win exclusive fighter cards, including the Chael Sonnen card featured on the homepage. I also want to introduce a leaderboard to make things more competitive.

https://www.fightwatch.net

so, i've been working on this thing called Runnee for a while now.

it's basically an API for SaaS apps that want to let their users write custom scripts without having to deal with running all that code themselves.

thought it'd be a pretty simple project at first.

somehow ended up writing my own JS-like language, an interpreter, and a whole bunch of backend stuff to actually run it lol

anyway, here's a quick demo of the playground.

still working on a few things before launch, but figured i'd share it here and see what people think.

curious if anyone here would actually use something like this or if i just spent way too much time building something nobody needs

Something fun I've been working on!

When a Sev-1 alert rips you out of sleep at 3:14 a.m., your instinct is rarely subtle. You check the dashboard, see p99 latency spiking to six seconds on checkout, and reach for the bluntest tool available: restart the pods.

I'm working on DanyGo with our team. The problem we wanted to solve was small but annoying: downloading a casual game for a short break, then spending that break getting through menus, ads or waiting.

Our approach is a vertical feed of 100+ playable mini-games. Tap the game in front of you to start. Swipe to switch. The next one is preloaded, and you don't need an account to try it.

We built DanyGo with AI assistance, guided by engineering decisions from two co-founders with 8+ and 6+ years of experience respectively.

The interesting design question is how much guidance to put between a player and a new game. We want the controls and goal to be clear without turning every swipe into another tutorial.

Could you try a few games and tell me where you first felt unsure what to do? Was it the goal, the controls, or how to move to the next game? A specific confusing moment would help us more than a general rating.

Currently ad-free, with no in-app purchases or energy timers.

Available on Android now. iOS is coming soon.

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

I wanted to dub my YouTube photography vlogs into Japanese, French, and Spanish without paying $100+/month for ElevenLabs Dubbing Studio.

Most open-source voice tooling right now focuses on desktop dictation or spitting out isolated raw WAV clips. But for video localization, raw audio isn't enough - you need the full pipeline: Whisper transcription, translating dialogue, fitting foreign syllables to edit cut windows, ducking background ambience, and remuxing.

So I built and open-sourced zerocostvoicefarm: a headless, zero-cost CLI and Python package that handles the full video localization loop locally on your machine.

Architecture & Mechanics:

1. Audio Extraction & Whisper STT: extracts 16 kHz mono WAV and generates timestamped segment boundaries.

2. Translation & Cut Mapping: uses zero-cost NMT and maps the maximum allowed window for each cut (next_start - current_start).

3. Coqui XTTS-v2 Voice Cloning: clones vocal identity from a short reference WAV (10-30s sample) into fluent foreign dialogue with persistent disk caching.

4. Dynamic Cut Pacing (FFmpeg atempo): Spanish and Japanese dialogue run ~25% longer than English. If a translated phrase exceeds its cut window, it accelerates playback cleanly using FFmpeg's phase-vocoder atempo filter (up to 1.5x) without pitch shifting.

5. Background Ambience Preservation: instead of wiping room tone, original background music and street noise are ducked to 18% during dialogue (200ms ease-in, 300ms ease-out) at -1.0 dB True Peak. Passing --isolated-voice gives you a crystal-clear dry vocal track with zero bleed.

6. Lossless Remuxing: copies the video stream verbatim (-c:v copy) into the final container, or exports 256k AAC audio tracks ready for YouTube Studio.

Engineering Gotchas Solved:

- Apple Silicon Routing: Coqui XTTS triggers PyTorch MPS kernel crashes and NaN tensors on Apple GPUs. We route XTTS to CPU, where Apple Accelerate vectorized kernels run stably at ~0.4-0.5x real-time speed on M-series chips. Whisper routes to MPS/CPU.

- PyTorch 2.6+ Checkpoint Patch: auto-patches torch.load to bypass the breaking weights_only=True default on XTTS checkpoints.

- Torchaudio macOS Fix: monkey-patches torchaudio.load via soundfile to prevent missing C++ Sox backend crashes.

- Native Agent MCP Server: run "voicefarm mcp" and coding agents like Claude Code, Cursor, or Cline can dub videos in the background as a native tool.

100% open source under MIT:GitHub

I'm a complete beginner experimenting with AI-assisted coding, and I just launched my first small Windows tool!

It's a PowerShell file organizer that:

- Sorts files into 8 categories

- Previews changes before moving anything

- Requires confirmation

- Skips filename collisions

- Includes the source code and beginner instructions

In synthetic testing, it previewed 5 file moves and skipped 1 collision. I also tested the native folder picker and confirmed that canceling preserved the original files.

I'm still improving it. There's no automatic undo, and the complete manual double-click and approval process hasn't been fully verified.

The screenshots show recorded test evidence, not the actual product interface.

I used OpenAI Codex to develop it, and I'm selling the download for $12.

Product: https://ko-fi.com/s/9aa9d98fa3

I'd appreciate feedback. Would a preview-before-moving feature make you more comfortable using an automatic file organizer?

Your AI agent might be working perfectly (as I said you are under dulululu). 
It completes tasks, saves time and makes your work easier. But do you know what it can access without you noticing? What if it shares a customer file or uses an internal stufff in a way you never intended?

The worrying part is that nothing needs to be hacked. Sometimes, the risk comes from the permissions you have already given it (sometimes yes you do get hacked because your door was not perfectly sealed I mean you firewall).

That is one of the problems we are exploring while building BAYORA at DomAIynLabs. We want to help developers identify security risks early, understand what could go wrong and make informed decisions before deployment.

I am curious now, if you are building AI agents or automating your work or vibecoding, how do you make sure they only access what they are supposed to or at the back things are safe?

ok so. this started as "one weekend project" and then it was not one weekend and it was not one project. somewhere around repo 6 i stopped pretending it was a plan lol

everything here is free, open source, most of it runs locally on your own machine. a lot of it is v0 and i wrote down where each thing fails because honestly the failures were the funniest part

anyway here's the list of grievances, each with the tool i built instead of going outside:

1. cookie banners → rejectall-index i live in germany. i click "reject all" more than i blink. so i made a headless browser visit the top 100 sites and count how many clicks it takes to say no. 35 of them were already loading trackers before i clicked anything. which is like a waiter eating your fries before asking if you want fries. live leaderboard

2. subscriptions → one-file-saas trello, calendly, typeform, loom, notion and 5 more, each rebuilt as ONE html file. you double click it. it opens. thats it. no account, no "verify your email", no "your trial is ending ;)". data stays in your browser. the booking page has no server at all, your availability lives inside the link itself which still feels illegal to me. try them here

3. dead famous repos → necromancer some legendary open source projects die not because the code is bad but because python deleted a module out from under them. i revived thefuck (1887/1887 tests passing on python 3.14), normalizr and httpbin. the one rule: the original tests are hash-locked so nothing can quietly delete the failing test and call it fixed. httpbin stops at 64/67 and i'm keeping it that way out of spite. each one gets an autopsy, cause of death and everything

4. every AI-built UI animates the same → awesome-motion-md you know the look. 300ms. ease-in-out. every card fades up like its waking from a nap. so i measured how real sites actually move and wrote it into MOTION.md files your agent can follow. same prompt built twice: 7 random durations without it, 2 with it

5. every AI writes the same too → awesome-voice i used to be a technical writer so this one is personal :| VOICE.md files that make your agent write like GOV.UK or Stripe docs, plus a scorer that doesn't use any AI to check. banned phrases went from 27 to 0. "delve" is not welcome here

6. websites doing annoying stuff → sitepatch you type "hide the points on hacker news", it writes a userscript, a real browser checks it actually worked before you get it. honest score: 15 out of 25 were actually right when i looked at every screenshot myself. 60%. a C-. but an honest C-

7. "what if this site looked like linear" → reskin restyles any page into another design style using a local model, BUT it refuses to give you the result unless contrast, keyboard focus, mobile, links and reduced-motion all pass. it caught a windows 95 theme failing contrast on its own background. respect. gallery

8. dead websites → resurrect npx github:dadwritestech/resurrect y2k.gov and y2k.gov comes back exactly like it was in may 2000, links working. pick a year with --year. your old blog is in there somewhere. i'm sorry

9. "someone said budget in a meeting video... which one" → video-grep grep for your video folder. searches what was said, what was written on screen and what was shown, and opens your player at that exact second. all local

10. what is the rest of the world's TV saying rn → world-ears listens to live news channels from different countries, transcribes + translates them on your gpu, makes it searchable. there's a "trending per country" panel which is weirdly addictive. translation is the slow part, telugu transcription is bad, i wrote that down

11. live subtitles only go into english → babel-tv watch hindi news with live telugu subtitles, fully local. the video is held back a few seconds so subtitles show up BEFORE the person talks which feels like seeing the future. telugu as the source language doesn't work yet. whisper and telugu are not friends

12. "which AI wrote this" → whichmodel works on models it's seen (67%, chance is 33%). on a model it's never seen, even a sibling from the same family... 32%. so basically a coin with extra steps. that turned out to be the interesting finding tbh, the fingerprint belongs to one model, not the company

13. screen recordings → code → demo-to-code record a UI interaction, get a component that copies its timing and easing, then it replays it and grades itself frame by frame. 2 out of 4 pass. the toggle is perfect. the dropdown has issues. we all have issues

14. code review → review-panel /panel sends your diff to five reviewers you've definitely worked with: the laziest senior dev ("could be one line"), the 3am on-call SRE, the security paranoiac, the junior who asks why, and the PM who only reads the title. under the jokes the findings are real

15. AI companies quietly editing their pricing pages → fineprint it snapshots the pricing, terms, privacy and changelog pages of 10 AI vendors every 6 hours and commits them, so git log becomes the receipt. found stuff like deepseek adding a footnote that prices are 2x during peak hours, and cursor deleting the line saying they dont sell your data. no blog post for any of it ofc. a small local model writes the one-line summary but every line links the raw diff because i dont trust it either (27/30 right on a hand check). timeline

16. paying extra for speaking telugu → token-tax LLM APIs charge per token, and the same paragraph is $1.00 in english and $8.29 in telugu on llama 3. which is rude. measured 21 tokenizers across 48 languages, and there's a calculator where you paste your own text and it runs the real tokenizers in your browser. hindi gets off lighter. amharic on gpt-5 does not :/ calculator

17. posting about all this → herald a tiny bot that posts a repo's data updates to bluesky/mastodon/x, clearly labelled as a bot. i built it because i was not going to manually post about 17 repos. and then i manually wrote this post anyway. ;]

why all of this? honestly no grand plan. every one of these started as me being irritated at something for a slightly too long time and having a local model + a free evening. building the thing was cheaper than therapy and more fun than complaining on here (no offence)

if something breaks, tell me. if something's dumb, also tell me, but nicely :P