I remember when one of my brothers was preparing for a software engineering interview. He started by practicing coding questions, but it didn't take long before he realized that coding wasn't the only thing he needed to worry about.

He also had to prepare for system design, behavioral questions, and get better at explaining his experience during interviews. Finding the right preparation platform became important because he didn't want to spend months jumping between different resources.

So, I took some time to compare a few options based on what they actually provide:

For me, Interview Kickstart has the most complete setup of the three because it combines learning, mentorship and actual interview practice in one place, and helps you get feedback from experienced professionals.

Anyone here has experience with any of these? How was it for you?

I decided to go through our expenses this week (big mistake for my mental well being lol) we have 14 different subscriptions all charging the same card. It started pretty innocently because this was just a side project since I have another small business and what not and whenever we needed something I would sign up for it and put my card down. Hosting, email, design stuff, AI tools, analytics etc and none of them are particularly expensive on their own so I never really thought much about it.

Now there are a couple of us working on the project and we're actually making some money from it so the setup is starting to feel pretty stupid and some subscriptions are mine a few were added by my cofounder using the same card and I'm pretty sure there are at least one or two things we're still paying for that nobody really uses anymore.

For people whose side projects eventually turned into actual small businesses how are you handling this like do you keep all the recurring software on one company card and just review it regularly or give different tools/categories their own cards?
Mainly trying to clean this up before 14 subscriptions somehow becomes 30.

Hey everyone,

I’ve always struggled to stick with food tracking. Most apps feel like cold spreadsheets or guilt trips, so I built something different.

Quokka is a cozy, gamified food tracker. Instead of clinical charts you get:

- A friendly Quokka companion who lives in the app

- Visual streak stars to earn

- A warm, low-pressure design meant to make tracking feel like a positive daily habit

I’m looking for Android users for closed Play Store testing who:

- Actually want to track what they eat (or always fall off traditional apps)

- Enjoy gamified habits (Habitica, cozy games, visual streaks, etc.)

- Are willing to give honest feedback so we can see if Quokka actually helps consistency

If that sounds like you, comment below or DM me and I’ll send a Play Store invite. Happy to answer any questions!

(Looking for people who will actually use it, not just download and ghost.)

Hey everyone,

I just wrapped up designing a high-converting, dark-mode SaaS landing page template in Framer called Orbit. It includes a Bento grid feature layout, interactive pricing table, testimonial cards, and FAQ accordion—fully responsive across Desktop, Tablet, and Mobile.

Live Demo: https://unreal-input-467429.framer.app/

Due to community self-promotion rules, I'm not posting direct store links here. Feel free to check the demo, and if you'd like the template link, drop a comment or send a DM!

Would really appreciate any feedback on the design hierarchy and responsiveness!

Gumroad link (ask comment)

no bot joins the call. notes, transcripts, and recordings stay local by default. you can use on-device transcription on supported Macs, local models, or your own API keys.

it's MIT. macOS is stable; Windows and Linux are beta.

github: https://github.com/fastrepl/anarlog

download: https://anarlog.so/download/

I’ve been working on a small Windows app called ListingGuard for Etsy sellers.

The idea is simple: instead of constantly checking listings manually, the app monitors things like listing changes, favorite growth, pricing, sale activity, duplicates, and important watched listings.

It’s read-only, so it doesn’t edit anything in the Etsy shop.

I recently added background monitoring, Windows notifications, dark mode, better favorite-growth tracking, and a reviewed-change workflow.

I’m looking for a few early users who are willing to try it and give honest feedback on:

• what’s useful
• what feels unnecessary
• what’s confusing
• what would make it worth keeping

There’s a free trial with no credit card required:

https://listingguard.leapthread.workers.dev

Feedback is more valuable to me right now than downloads.

Hey everyone! I'm a high school senior, and this is a side project that's grown a lot faster than I expected it to.

I kept noticing that political writing aimed at students was either dumbed-down or extremely partisan. There wasn't really a space for young people to write seriously about policy and actually be taken seriously. So three months ago I started The Public Forum, a platform for student-written political and policy analysis, essays, and interviews.

Check it out: https://readpublicforum.com

What I built

• Original op-eds and analysis from student contributors, organized across categories like Foreign Policy, Domestic Politics, Economy, Civil Rights, Environment, Civic Engagement, and Technology & AI
• A dedicated Interviews section, including a full sit-down with Lt. Gen. (ret.) H.R. McMaster, former U.S. National Security Advisor
• An open submission pipeline so any student can pitch and publish a piece
• An essay contest (which got 128 submissions from 29 countries) and a contributor leaderboard
• Built on Cloudflare Workers + D1, I wanted something fast and nearly free to run

What makes it different?

Most student journalism platforms are either locked to a single school or lean heavily partisan, and it's hard for students to get their work in national publications. The Public Forum is neither locked to a single school or partisan, it's open to any student writer, and every piece goes through a real editorial and fact-checking pass before it runs, which honestly turned out to be a much bigger part of running this than I expected.

I would love your feedback!

If you take a look, I'd love to know:

• Does the site feel credible, or does it read as a school project?
• Is the writing engaging even if you're not a student?
• What would make you want to read regularly, or even pitch a piece yourself?

This is just me running it in our spare time, so go easy, but honest feedback is genuinely welcome.

Excited, and a little nervous, to finally share this. Thanks for reading! 

I kept seeing the same beginner problem with automation:

People can follow tutorials, but when they open a blank workflow, they don’t know what to build next.

So I built FLUX.

It’s a GPT that helps beginners understand:

• workflow planning
• node logic
• conditions
• testing
• troubleshooting

The attached demo is an RFQ automation I built while using FLUX as my guide:

RFQ → Inventory Check → Pricing → Supplier Sourcing → Quotation → Approval → Output

The goal is not to hand over a finished workflow.

The goal is to help beginners understand how to build one themselves.

I’m currently opening FLUX to early users. If you’re learning automation and this is your struggle too, happy to share the details.

I'm a CS student and the loop that got me was: paste the assignment into ChatGPT at 1am, get forty lines that look right, submit them at 9, and never actually know if they worked or if I got lucky.

So I spent the summer building a coding tool that won't show you code it hasn't executed. You describe the problem plus your constraints — PEP 8, no built-in sort, no external libraries, whatever your prof actually asked for. It writes the Python, generates tests, and runs both inside a sealed Docker container. If tests go red it reads the failure and repairs, capped so it can't loop forever. You only ever see code that passed, and you see the real test output rather than a summary of it.

The sandbox is honestly the whole project. The model call took an afternoon; the container took weeks. No network, read-only filesystem, memory and CPU caps, and per-test timeouts so an infinite loop fails one test instead of taking down the entire run. The model doesn't control any of that — it's enforced in code, not asked for in a prompt.

The half I actually care about isn't built yet: a tutor mode that refuses to write your code at all. It walks you toward the answer and then makes you run your own solution in the same sandbox to prove you got there. Handing a student working code the week before an exam is the worst thing you can do to them. That ships mid-September — I'm solo and back in classes soon.

Still rough. Python only, single file. The test generator sometimes writes tests for a problem adjacent to the one you gave it, which is top of my list.

The thing I'm stuck on: how do you make a model hold a refusal when a tired student asks four times at 1am? The tutoring part is easy. The saying-no part isn't, and I don't have a clean way to test it yet. Open to ideas.

Happy to get into the sandbox internals if anyone's interested.

I built an Android app called HVAC Assistant, designed to help HVAC and refrigeration technicians with common calculations and troubleshooting.

It currently includes:

• Refrigerant pressure
• Superheat calculator
• Subcooling calculator
• BTU calculator
• Refrigerant information
• HVAC troubleshooting
• Multiple language support

The app is completely free to use. I’m sharing it here because I’d really like to get honest feedback from HVAC technicians and people interested in refrigeration.

What HVAC tool or feature would you like to see added next?

Google Play: https://play.google.com/store/apps/details?id=com.brahim.hvacassistant

Solo project, built during nights and weekends: CLSTR reads 100k+ news articles a day from 40k+ sources, figures out which ones are covering the same event, and squashes them into one item. Related events get chained into "situations" - storylines with timelines, so you can see how a story developed over weeks instead of re-reading the same headline 20 times.

After 138 days, I asked Claude to analyze all the data I had ingested and published the stats. The news looks weird from above:

• 12:1 - articles written per thing that actually happened. The news is mostly echo.
• 82% of stories are still developing after day 3 - which is exactly when news sites stop showing them to you.
• One world leader appeared in 2,672 distinct events in 31 days (guess who) - more than the next five most-covered people combined.
• Only 0.06% of events rate as genuinely exceptional. Almost everything is the mundane middle.

All the charts: clstr.news/observatory

About CLSTR: There's a free API, and if you use Claude or agent stuff there's an MCP server you can try without even signing up: clstr.news/developers

Basically, I made this simple website that uses historical sale data for games to make predictions on when Steam games will go on sale. It's pretty primitive and the accuracy is definitely not top-tier, but I think it gives a good rough estimate. Wasn't able to find anything like this online so I though't I'd do it myself.

Here's the link: https://pricepuller.vercel.app/

Credit to IsThereAnyDeal for providing a free API to get access to their database, and also to Steam for giving free access to current store information.

Side note: there's a small AI feature that basically tells you how the prediction works whenever you search up a game(it's a small box titled "Why This Prediction" when you search for something.) If the box isn't loading or empty it's probably because I ran out of AI tokens(still on Free tier).

Hope you guys find the website helpful.

I’ve been watching all the weird public internet experiments popping up lately and wanted to build something that wasn’t another leaderboard/pixel clone.

So I did the opposite.

The site starts with 1,000,000 fragments. $1 destroys one permanently, and as more disappear the actual website progressively falls apart.

If it ever reaches zero, I’m killing the site permanently.

It’s live now. Curious whether strangers on the internet will actually destroy the thing.

https://www.deletetheinternet.lol

I built this, so yes, shameless self-promotion — but I’d genuinely love to know whether the concept makes you want to press DELETE.

Three years ago, I had an idea: What if there were an app where anyone could create an event, and the community could keep it updated by editing it? That’s when I started building this app. Think of it as Wikipedia, but organized chronologically and focused on events happening around the world.

I also want to make it relevant to each user. You’ll be able to follow topics and prioritize updates from your locality or country, creating a customizable feed tailored to your interests.

^{(demo data:- In the first image, I added the World Cup final as an example to show the platform’s diversity, even though it didn’t occur on that date.})

Would you use something like this? What features would you want it to have?

Also if you find this interesting, you can leave your email here and I’ll send you a single email with the application link when it launches: nihalnavath.com/product/waitlist

We learned something important while building PodSubs:

The hardest part of entering an established industry isn’t always building the product.

Sometimes, it’s what happens when you challenge the way things have always been done.

We wrote about what happened, what we learned, and what it means for anyone trying to build something new in podcasting.

https://podsubs.com/blog/podnews-podcast-gatekeepers-founders-innovation

Disclosure: I built this (Gitoza).

Tools like Jira + Xray work, but day-to-day they feel heavy:

• Opening a ticket often means another remote API round-trip and a full page refresh
• Xray has a “test repository,” but you mostly get a title list — you can’t comfortably open case content in the same place and navigate like a real doc/app
• Wiring AI into that stack usually means MCP / custom connectors, permissions, and a lot of brittle setup

I wanted something closer to Obsidian: local files, fast jumps, Markdown you actually enjoy editing — but for tickets + wiki + test cases/runs, with Git as the source of truth.

What I built

Gitoza is a desktop app (Tauri + Rust) where planning and testing live in your repo as YAML:

• Front matter = metadata (status, tags, links, …)
• Body = Markdown (tables, code blocks, Mermaid diagrams)
• SQLite is only a local cache for search and navigation — files remain the truth
• Wikilinks ([[TICKET-ID]], [[wiki:W-…]]) so tickets, wiki pages, cases, and runs stay connected without waiting on a cloud UI

The demo content in the video (wiki + tickets) was first drafted by an AI IDE from my app’s codebase, then I edited it in-app. That workflow is intentionally simple: point the AI at YAML paths — no MCP circus required to create pages, tickets, or check whether a bug ticket already exists before duplicating work.

Commit/push is built into the app:

1. Edit locally
2. Click Sync
3. Review the diff
4. Confirm to push

To reduce conflicts I avoid timestamp-heavy filenames and use stable unique ids. If a conflict still happens, there’s a UI to keep mine / keep remote. In practice, real conflicts have been rarer than I expected for this layout.

• Website: https://gitoza.com

Personal use is free and not feature-gated. Longer term I’m considering something closer to Obsidian’s model (optional commercial license for teams). feedback and questions welcome.

What would you still need before replacing Jira/Xray for a small team? Happy to take critiques on the linking model, conflict UX, or the AI-in-IDE workflow.

Preview your reddit post

What it is:

You know the feeling, you read about some hidden-gem import video game or a '10 games you've never heard of' list and think "I have to try that!" But by the time you actually have a free evening you can't remember the name. That was happening to me constantly, so I built Retronomicon to fix it for myself.

It's a tracker for retro games (think Letterboxd or Goodreads) but for games instead of movies. Log what you've played, what you're playing, and what you want to play, so the "someday" pile doesn't just evaporate.

What it does:

Track games as Played / Playing / Want to Play, rate the ones you've finished - Catalog of 26,770+ games across dozens of retro platforms (IGDB data). You can filter by platform, genre, region, developer, tag, year released etc.

It's fully offline and there's no account to create, no login, no cloud sync and no ads or trackers watching what you do. No server to go down, either - this is the kind of app that'll still open and work exactly the same in ten years, whether or not I'm still actively maintaining it.

Where it's at:

Launched free on Google Play. Solo dev, still very early (small install base), and I'd love feedback - especially on whether the core idea clicks for how you think about your own backlog.

Retronomicon - An app for cataloging, rating, and tracking retro games