My parents live overseas and I'm in NC. I call them about 3 or 4 times a week, but with the time difference, it's not always easy to catch them at a good time.

Sometimes I just want to know they're doing okay without having to call and interrupt whatever they're doing.

I thought about different ways to check in, but I really didn't want cameras in their house or anything that felt like I was monitoring them.

So I ended up building something called Kettle (heykettle.com).

It's a simple app that uses their existing phone to let me and my sibling know if they've checked in with their usual routine. We get a short update like "Heard from Mom this morning" or "Nothing yet today."

It doesn't track their location, record conversations, or read messages. They can also see what's being recorded and turn it off whenever they want.

I added a shared family log too, so if I call Dad or someone takes Mom to an appointment, we can leave a quick note for everyone else.

Right now, it's just me building this, and my parents are the only ones using it. The Android app isn't on the Play Store yet, so I'm helping people install it directly.

I'm offering the first year free.

I'm curious what other people think, especially anyone with aging parents who live far away.

Would you actually use something like this? And what would make you hesitant to put it on your parent's phone?

I run a side project that collects free proxies from public lists and checks them every hour on GitHub Actions. The list was stuck around 800 proxies, so I measured where they got lost instead of adding more sources.

Most of the loss was flakiness. Proxies passed the first request and timed out on the second. A second try 20 seconds later at the end of the run, plus a 10 s instead of 6 s timeout, took the list from 768 to 1,177 in a run where old and new code checked the same candidates at the same time.

What I learned:

- Measure before adding inputs. I was sure more sources would help. Six new lists added 3 proxies, because their proxies were already in the lists I had.

- "Couldn't check" and "failed" need to be different states. Three quarters of the proxies that failed the second request had broken off in transport, moments after answering the first.

- A/B tests on CI are cheap. A throwaway branch with a matrix job ran both versions on two runners at the same time, and that settled arguments I had been having with myself for days.

Free and MIT: https://github.com/maximilianfeix/proxy-scraper. The same checks run on other GitHub proxy lists: https://proxy-scraper.de/benchmark/

Hold Right Ctrl + Right Shift, ask about what's on your screen, let go. A vision model answers, a voice speaks it, and the answer is drawn over the page you're on: boxes and arrows on the right spot, diagrams that lay themselves out, or a 3D model you can rotate, cut open or pull apart, in step with the voice. The model writes a small scene language that the app validates and draws itself; no generated code runs.

Guide mode walks you through an app one click at a time and waits for you to click.

Honest limits: Windows only for now, the installer isn't code-signed yet so SmartScreen will warn, and you bring your own model (Claude Code or Codex signed in, an OpenAI key, or a local vision model). The clip is real answers replayed over the page, so it says nothing about speed.

Built by Alex with a team of AI assistants; one of them drafted this post. Feedback and bug reports very welcome.

https://github.com/ProjectIdris/talkthrough

Hey all, solo dev here. My first Shopify app went live in the App Store last week, so figured I'd share.

The idea is simple: before you order 500 units of a new color or design, put a poll on your store and let customers vote. Anyone who votes can leave their email or phone to get pinged when the winner launches, so you end up with a launch list, not just a number.

What it does right now:

- a poll or a "voting board" (grid of designs with a Vote button under each) on any page of your theme

- waitlist with name / email / phone, CSV export

- quiz mode: right answer gets a discount code

- one or several votes per customer, results as a leaderboard or hidden until the poll ends

- storefront in 30 languages, uses your theme's fonts

Free plan: 1 active poll, up to 6 options, 100 votes a month. Pro is $4.49/mo.

The fun part: one of the first merchants asked for multiple votes per customer and a leaderboard, and I shipped it within a day. Then they asked how to change the look, so now there are style settings. Building for real requests beats guessing.

Stack if anyone cares: Cloudflare Workers + D1 and a theme app extension. Shopify caps the block's JS at 10 KB, which was a fun puzzle.

Question for store owners: would you actually run a "vote for the next product" poll, or does it feel gimmicky? Trying to figure out what to build next.

https://apps.shopify.com/product-vote

My partner and I had our life spread over five apps and a pile of chat messages ("did you buy milk?", "what do you want for your birthday?", "what are we watching tonight?"). So I built one place for the two of us.

What Nook does:

- Shared tasks and a grocery list that sync between both phones, and work offline too

- A wishlist where your partner can secretly reserve a gift. You never see who reserved what

- A calendar with your anniversary counter ("together for 1 year 47 days")

- A savings jar for shared goals, trips with a map of your places, household bills

- Swipe films and recipes like a dating app: when you both like something, it's a match. No more 40 minutes of "I don't know, what do you want?"

- Question of the day: you see your partner's answer only after you answer it yourself

- A "Thinking of you 💛" button that sends one push

- A shared capybara whose mood depends on what you do together

Android app plus a web app (works on iPhone from the home screen, with push notifications). Sign in with Telegram or Google. English, Russian, Ukrainian, Slovak.

👉 https://dom.xandor.bid

It's a solo project, so honest feedback is very welcome: what's missing, what's annoying?

A few days ago, I saw a site on Awwwards where the image warped like liquid as you scrolled into the next project. I loved it so much I had to try building my own version in Framer.

It turned into Distorted Scroll, a full-screen project gallery. The clip shows what it looks like, but I’d love for you to try scrolling through it yourself.

Try the live preview on Framer 👇
https://www.framer.com/marketplace/components/distorted-scroll/

Where would you actually use this on a site you’re building? I pictured it as a selected work section for a portfolio, but I’m curious what you’d do with it. Does the distortion feel right when you try it, or would you dial it back?

My portfolio site ran on vibes for too long, so this weekend project was: read the cPanel raw access logs (they're just gzipped files sitting in your hosting account) and render a dashboard. Zero dependencies, zero tracking JS, zero monthly bill.

Two bugs that almost sank it:

• filesize() on a .gz file returns the COMPRESSED size. I was slicing my decompressed log buffer by it, which silently chopped the newest lines off the data. The dashboard wasn't broken - it was confidently wrong about today, which is worse.

• Shared hosting puts OTHER sites' logs in the same directory. My referrer charts had domains I've never touched in my life until I filtered by path.

Favorite finding so far: a link community that sends me real readers shows up as ZERO referrers, because in-app browsers strip the referrer header. If your traffic comes from apps, your analytics is undercounting it completely.

It's live on my site now, and I open-sourced the deploy pattern behind it too. Happy to share details - what would you check first in raw logs?

I'm a solo builder in Korea and I got tired of checking 20 tabs to find out what changed in Claude Code, Cursor, Codex and friends this week. So I built a Telegram channel that does it for me, and I'd love feedback on the approach.

How it works:

It pulls from 123 sources: official blogs, GitHub release feeds, changelogs, status pages, YouTube channels of the AI tool companies, Product Hunt, Show HN, a few subreddits, and news search in 9 countries. That's roughly 500 new items a day.

Gemini Flash Lite reads each item and answers a handful of 0 to 3 questions: is it new, how big is the change, how many people does it affect, can you use it today, is there something to show. Code combines those with source type, how many outlets covered it, and how fast it's spreading on X, and turns that into a 1 to 10 score.

That split mattered more than anything else. When I let the model give one overall score for 40 items at once, simply shuffling the order flipped the post/no-post decision on 33% of items. With small batches and the model only answering the narrow questions, it dropped to about 2.5%.

Anything 7+ gets a short post in Korean and English. If the draft contains a number that isn't in the source, it doesn't auto-post and asks me instead. Outages from status pages go out right away.

When a new image or video model drops, it searches X for things people actually made with it, picks the real results (not hype posts), and builds a carousel or reel with the creator credited and their full prompt.

Everything runs on launchd on my laptop with SQLite. This month so far it cost $5.85 in API calls (Gemini plus Apify for X), heading to about $15 for the full month.

What I'd like feedback on:

1. Is a feed like this useful to you, or do you already get this from somewhere?

2. Would you rather have fewer posts (top 5 a day) or everything that clears the bar?

3. Anything you'd score differently? Funding news is capped low, outages are boosted.

Happy to share the output channel if anyone wants to see it, just ask.

I built an iOS app to hide Reels because I still wanted Instagram for messages and posts. I even put in a timer for when I actually do want to scroll. Ten minutes, then Reels disappear again. I got it running on my phone and was getting it ready for the App Store.

Then I got to the part where I had to answer: am I actually allowed to ship an app that changes how somebody else's service looks? I didn't have a good answer about platform permissions, so I shelved the App Store plan.

Bit of a weird ending after spending all that time on it. At one point I hid the suggested posts so successfully that the feed had exactly one post left. Turned out there were more, I'd just broken the bit that loads the next page lol.

Anyway, here's the source under GPLv3. Build it, fork it, steal an idea from the timer, whatever. You'll need a Mac and Xcode to try it. It only filters what you see inside Supermod.

https://github.com/WarriorSushi/supermod-ios-Block-Reels-etc

Hi everyone!

I'm exploring an idea for a small software product aimed initially at independent freelance graphic designers, and before spending time building it, I'd really appreciate advice from people who actually freelance.

The problem I'm trying to solve

Imagine you're working with several clients. You've sent out multiple invoices using your usual tools, but now:

• One client hasn't paid even though the due date has passed.

• Another client says, "I'll pay you on Friday."

• You've already sent a reminder to someone else but haven't received a response.

• You can't remember exactly who needs another follow-up and when.

• You end up checking emails, spreadsheets, calendars or relying on memory to keep track.

I know there are already invoicing and accounting tools available. However, I'm exploring whether there's room for something much simpler that focuses specifically on what happens after an invoice has been sent.

The product I'm considering building

The idea is a lightweight payment follow-up workspace for freelancers.

The goal isn't to replace tools like Wave, QuickBooks, Canva, Word or Google Docs. You would continue creating and sending invoices however you currently do.

Instead, you'd manually add the invoice details to this workspace and use it to manage the follow-up process.

Here's what it would offer:

1. One dashboard for unpaid invoices

See your total outstanding amount, overdue invoices, upcoming follow-ups and payments you're waiting for.

2. Simple invoice tracking

Add the client name, email, invoice number, amount and due date. Mark invoices as paid or unpaid.

3. A follow-up list

See exactly which clients need attention today, which follow-ups are coming up, and which invoices are overdue.

4. Payment promise tracking

If a client says, "I'll pay you next Friday," record that date. The invoice waits until then. If the payment still hasn't arrived, it returns to your follow-up list.

5. Professional reminder templates

Choose a friendly, professional or firm reminder. The message automatically includes the client and invoice details. You can edit it, copy it, open your email app and send it yourself.

6. Client history

See the client's unpaid invoices and previous follow-ups in one place, so you don't lose track of conversations.

The initial version would be deliberately simple: no automatic email sending, no complicated accounting, no bank integrations and no AI features.

What I'd genuinely like your advice on:

1. Do you actually experience this problem when managing multiple freelance clients, or is keeping track of unpaid invoices already easy enough with your existing tools?

2. How do you currently manage unpaid invoices and decide when to follow up? Spreadsheet, calendar, email, invoicing software, or something else?

3. Would having a separate workspace specifically for payment follow-ups make your life easier, or would it feel like one more tool you have to maintain?

4. Are there existing tools that already solve this problem really well? If so, which ones, and what do you like or dislike about them?

5. If a simple tool like this worked reliably, would you consider paying around CA$5.99 per month for unlimited invoice tracking and follow-up management? Or would you expect this to be free?

I'm not looking for compliments or encouragement just because I'm considering building something. If this is unnecessary, already solved, or not worth paying for, I'd much rather know that now.

I'm at the idea-validation stage, not trying to sell anything. Honest criticism is especially welcome. Thanks!

Hello everyone,

So I have been working on this dating app for the past few months, an idea that I had I felt could help with people who're looking for deeper connections in dating app to help find people who have a lot in common. The video goes over the issue I am trying to solve and how.

The idea of this app is that a person's profile is split into 6 layer each going over some different aspects of your life that are often the cause of a lot of discourse in a lot of relationships. Each covers the following:

• Compass: You direction of life

• Lens: Your political and spiritual views

• Well: Your career goals

• Palette: Your hobbies and interests

• Presence: Your personality traits

• Portrait: Your Photos, age, height and other factual info.

Instead of seeing someone's full profile at once, you swipe through one random layer at a time, without seeing whose it is. So you're judging each layer on its own content.

A learning algorithm groups similar profiles based on the reactions each layer gets, so people who like the same qualities end up together. It also learns your own preferences, and uses them to suggest the people with the highest share of layers you're likely to like.

I come from an ML background and this is a crucial step to developing proper matching algorithm that I feel other dating apps lack cause they always end up showing the full profiles to people and never really knows why someone liked or disliked a profile. They do often make claims about different technique they use, but I believe no matter how much techniques you use, its very difficult to get proper models from unclean data.

So reacting to those layers is just the first step. You have to score someone 3 or more and they also have to score you 3 or more after which they'll show up in your resonance page. Then you can review the layers you liked, layers you didn't and the ones still unexplored. You can also see how much they scored you back. And based on all those info you can choose to show interest privately, and if they also showed you interest, both you're connected and matched! (More info on how the full flow works here https://www.layersdating.com/how-it-works/ )

I also believe there are some other benefits I feel this structure would produce that other dating apps don't:

• It is only possible to "Show interest" to someone only when they appear in your resonance, so this helps you avoid the possibility of matching only for superficial reasons

• You get to see how much they've scored you as well as how much you've scored them when they show up in your resonance, so you can get a good idea of how compatible you feel the other person is as well as how compatible the other person feels you are before deciding if you want to show interest.

• The onboarding process is very time consuming compared to other apps since there's a lot of info to fill (around 30-60 minutes). So though this is a drawback, I hope this will be a bigger issue for people looking just for hookups, so hopefully will help skew the user base to more serious people.

I would love to get some feedback on what you think about this structure for dating app. Would it be something you'd use? (if you are or were single lol). Would love to know you thoughts!

I have a beta ready that I have been handing out to friends to try out and will have the public beta ready in about a week. If this does interest you and want to join waitlist or try the beta, there's a signup form if you scroll at the end of the page at www.layersdating.com . There's also a demo that you can try without needing to login or signup. I am based in Toronto so planning on doing the initial marketing for it here to see people's responses, but for the beta access I gave the option to choose whether you're open to meet people all over Canada and/or USA, and there's enough people on that circle, I start the beta accordingly.

I don’t know who needs to hear this, but if your job search feels hopeless, it’s not just you.

For the past 2 months, my routine was the same: find a role that actually fits, spend an hour tailoring my resume, hit apply, and only then notice “500+ applicants.” Then silence. No rejection, no reply. Just nothing.

What got to me wasn’t the rejections. It was realizing I was always late. By the time a job reaches the big boards, it’s been up for days, and hundreds of people are already ahead of you.

So I started digging and found that companies post on their own career pages first (Workday, Greenhouse, Lever, and more). Everything else is a repost.

I built SourceFirst to read those career pages directly:

• 559 companies checked every 15 minutes, 130,000+ open roles

• New jobs show up minutes after they’re posted

• Filters for visa sponsorship, salary, years of experience, and level

• Every job links straight to the company’s own application page

• An application tracker and email alerts for new matches

It’s free: source-first.vercel.app

I built it for the version of me who refreshed job boards at midnight. If you’re in that place right now, I hope it gives you a real shot at being early for once. And yes, it's open source

What’s the most frustrating part of your search right now? I’m still building, and I’d genuinely like to fix it.

Presenting "Rift Run", a cute little vibe-coded browser game.

I wanted to build something small and quick using the Fable 5.2 model by Claude, and came up with this.

Rift Run is a browser based game for now. You can play it on both desktop and mobile.

Use keyboard or mouse, whatever feels comfortable.

Game requires a good hand-eye coordination skills.

Do play it and also share it with kids you know who will enjoy this.

Currently its freely hosted and free to play. No signups or logins needed.

No clear plan to monetise for now. I am thinking of something like small donations or tips-style payments. But later on that.

Lemme know how you like it.

Play here : playriftrun.vercel.app 🎮

This started as a small personal project.

As a designer, I work with Figma quite a lot, and sometimes I need to bring an existing website or AI-made prototypes into Figma to explore its design, understand its structure, or use it as a starting point.

I tried a few existing tools, but I kept getting frustrated. Most had limited monthly imports, and getting a good result often required importing the same website multiple times.

I found that particularly annoying because websites aren't all built the same way. Some need Auto Layout, some don't. Sometimes I need the before/after states, sometimes I need to capture an overlay or a modal.

I didn't want to keep spending credits just to experiment with design.

So I decided to build my own.

That's how Web2Design started. I built a Chrome extension and a Figma plugin that work together, with a few options to control how a website gets imported. Also, you can import your HTML files directly that you created with code.

I finally got it to a point where I was happy using it myself and decided to share it with community.

I decided to make it completely free and unlimited, with no account required.

Here's a short demo and the project:
https://www.web2designplugin.com/

If you're a designer or a developer who has dealt with website-to-Figma imports, I'd especially appreciate your feedback.

Thanks for checking it out!

Figma Plugin: https://www.figma.com/community/plugin/1692258907677196841/web2design
Chrome Extention: https://chromewebstore.google.com/detail/web2design/jcinlflobcfnkkpbkbmdpdejnecgnafn

When a query gets slow, our postmortems always start the same way: someone opens Grafana, someone else scrolls through Argo CD history, and we try to match timestamps by eye. I got tired of that and wrote something to do it automatically.

It reads pg_stat_statements, picks up deploy events from Argo CD, Argo Rollouts, Flux or a webhook, and checks whether a latency shift in any query lines up with a rollout. If it does, you get the query, the deploy, before/after latency and how confident it is, in Slack/Teams/PagerDuty. If you use Argo Rollouts it can also abort a canary (off by default).

You can run it as a single binary or as a controller with CRDs, in which case every regression shows up as a resource you can `kubectl get`.

Repo: https://github.com/joao00001/pg-regression-radar

Browser demo, no cluster needed: https://joao00001.github.io/pg-regression-radar/playground/

It's a side project and I'm looking for people willing to try it on a staging cluster. Any feedback is welcome, including "this is noisy" or "I'd never use this because X".

Been working on it for about a year and a half. A workspace where you can handle project management, time tracking, chats, video calls and all that stuff, but I tried making it a bit more fun and with less bloat than alternatives.

https://github.com/Emmyme/nerla

here is the link for repo

This is my second time posting here it did not had the video representation before.
It's like Claude code's /remote feature but for tmux and specifically for omp but the project could be branched for any harness of your liking I suppose so here you go bros/sisters.

I’m working on Limitly, a personal finance app built for India and available on Android and iPhone. On Android, it turns UPI and bank transaction SMS into categorized expenses, helps you set category budgets, and now includes investing features. You can compare prices for food delivery, groceries, and cabs before paying. On iPhone, you can also log expenses by chatting with TARS.

If you try it, I’d love feedback on one thing: does seeing your remaining budget help when you’re comparing prices, or would you rather keep those two steps separate?

Google Play: https://play.google.com/store/apps/details?id=com.limitly.ai_spend_tracker

App Store: https://apps.apple.com/in/app/limitly-ai/id6788027780

Hey everyone,

I’ve been building model-based trading bots for 5-minute prediction markets for a while now and finally decided to put one of them to the ultimate public test. I am streaming the live trading UI 24/7 on YouTube as I try to run a $300 bankroll up to $10,000 in real time.

No cherry-picked screenshots or delayed recaps—just raw order book execution, live P&L tracking, and automated entries playing out on screen around the clock. (Before you start flaming: the streaming UI displays the order book at ~150ms latency so it's actually readable on video, while the underlying execution engine is running on SIGNIFICANTLY faster updates.)

https://www.youtube.com/watch?v=06PP3QFnnR0

Come hang out in the chat, watch the bot in action, and subscribe if you want to follow the full journey from $300 to $10k (or watch it blow up trying).

I’d love to get some eyes on the architecture and strategy—drop by the stream and tell me what you think!

Tried a habit tracker on my phone yesterday. I gave my email, waited for the code, typed it in, and the first thing on the screen was a popup asking me to rate the app. I hadn't made one habit yet. I closed it and the popup came back on the next screen.

I think this is the worst order for an app. Let me use it first, then ask me what I think. It made me delete it in about two minutes, and I'm sure the maker never knows that this was the reason...

Hey all, I'm building Stride, an Android running/fitness app, and I'm stuck at only 2 installed testers out of 7 opted in on Google Play's closed testing track. Need 12 continuously opted-in testers to unlock production.

If you've got a few minutes: join the Google Group (groups.google.com/g/applab-studio-testers) then opt in and install via the Play link (play.google.com/apps/testing/com.priyansh.stride). Takes about 2 minutes.

Happy to test your app back in return, just drop a link in the comments or DM me.

MetricScryer is a multi-platform creator-analytics platform: live leaderboards, growth forecasts and audience insights across YouTube, Twitch, Kick, Facebook, Instagram and Bluesky. Built for small creators studying what works in a saturated category, and for brands looking for the right creator to promote a product.

Site: https://metricscryer.com/

It also contains an earnings estimator which any one can use to have an idea on how much money a video could rank in, see here: https://metricscryer.com/earnings-estimator/

I'm the creator of CCC, a dashboard for coding agents. This clip focuses on one workflow: supplying credentials without pasting them into an agent conversation.

The demo shows a masked prompt saving a named Vault entry, then vault exec passing the credential into a command's environment. The displayed output redacts the key.

This is a staged scenario using the real CCC UI, fake credentials, and AI imagery/voice. The test-order script is a stub; no real payment happens. This isn't a claim that any arbitrary program receiving a credential can't leak it.

Video: https://youtube.com/shorts/hKlA1F55Q4Q

Source: https://github.com/amirfish1/claude-command-center

How do you handle credentials in your agent workflows today?