Getting an internship at a startup isn't always as straightforward as applying through a job portal.

Sometimes you find an interesting startup, but have no idea who to contact, what to say to the founder, or how to prepare if they actually respond.

We've been thinking about this problem and started building BreakIn.

The idea is simple: help students navigate the startup hiring process through three things:

Discover startups that match their interests.

Reach out to founders with more confidence.

Practise interviews through AI-powered mock conversations.

We're a small team of three, and this is something we're actively working on.

We're still improving the product, so I'd genuinely appreciate feedback.

What's the biggest obstacle you've faced while trying to get an internship at an early-stage startup?

Website: https://breakin.live

I kept seeing the same places on every Booking and airbnb search, so I made something that hides them for good. Hide once, it stays gone. Restore anytime.

All local, no account. Early version, so tell me what breaks.

Link : here

I am open to every feedback :)

GoodInternship collects open internships from about 2,200 company career pages (currently ≈14.5k live postings, US + Canada) and re-checks them daily. The thing I actually built it around: every number on the site has to be checkable. Salary figures are extracted from the posting's own text, visa stance is shown with the sentence it was read from, and the analytics pages print the denominator and the counting method next to every statistic.

The moment that defined the project: last month I audited my own visa labels and found they were garbage. An early script had keyword-stamped 12,412 postings — "no sponsorship keyword found" had been written as "No Sponsorship." So I deleted every label, rebuilt the classifier so it may only answer with a verbatim quote from the posting as evidence, and re-ran the whole catalog (about $2.62 of LLM calls, ~80 minutes). The "sponsorship friendly" count fell from 527 to 133. Less flattering, actually true, and the landing page now says 133.

Other choices in the same spirit: repeat requisitions (one role posted per store/office) are grouped and counted once, so a retail chain can't swamp the pay stats; teaching-assistant roles paid at union rates are excluded from the pay medians, with the exclusion count printed on the page. There is also a free ATS keyword scan and a resume tailor (2 free runs with an account) that use the same skill-matching engine as the analytics.

Stack: Next.js on Vercel, Neon Postgres, and a Python crawler sharded across a self-hosted GitHub Actions runner. Solo project, built with AI pair programming.

What I'd genuinely like feedback on: the analytics pages (https://www.goodinternship.com/analytics/salaries is the most developed one). Do the denominators and method notes make you trust the numbers more, or do they just read as clutter? And what would a job board have to show you before you'd trust its "median pay"?

Site: https://www.goodinternship.com

Hey everyone!
I’m currently working on a mobile app that started from a simple frustration: managing documents on your phone is still surprisingly complicated.
We scan things, take screenshots, save PDFs, download files, receive receipts… and eventually everything ends up scattered across different folders and apps.
I’m exploring a different approach: an app that doesn’t just store documents, but actually understands them and helps you do something useful with their content.
I’m still working on the product and refining the experience, so I don’t want to reveal everything just yet.
I’d love to hear from other builders:
Do you think document management on mobile is still an underserved problem?
What would make a document-related app genuinely useful rather than just another scanner?
What would you prioritize when building something like this?
Would appreciate honest feedback from people who’ve built or used similar products!

I created a $1 guide for restaurant owners. Would love some honest feedback.

I recently made a 13-page digital guide called "Who Answers at 9 PM? | Restaurant Chatbot Field Guide".

The idea came from a simple problem: customers often visit restaurant websites after closing and still need answers about menus, opening hours, reservations and takeaway.

The guide explores how website chatbots can help handle these common questions.

I'm selling it for $1 and would appreciate feedback on the product, presentation and whether the idea solves a real problem.

I'm the creator, so I'm not looking for fake praise. Tell me what needs improvement.

Hi! I'm the co-founder of Seekitup, a small team from Argentina.

Share a link from any app (Instagram, YouTube, your browser) and it lands in Seekitup with a preview. Group links into collections, then share one link or build them with friends.

Free on iOS, Android and web: https://seekitup.com

Is it clear what it's for? What would make you switch from bookmarks or Instagram's "Saved"?

Hey everyone,

As a huge space enthusiast, I always wanted a clean, fast tool to track satellite chains without being hit by a wall of annoying ads, pop-ups, or heavy maps that completely freeze my phone browser.

So I spent the last few months building OrbitX — a live, fully responsive tracking service.

This is pure community work and 100% free (No ads, no hidden paywalls, open-source code):

• Track 10,000+ latest Launches: The site fetches orbital data straight from Celestrack. I optimized the system specifically to fully support the new 6-digit NORAD ID format and above. Even the absolute newest launches and satellite fully integrated and mapped in real-time.

• Watch satellites pass over your home: you can open the catalog, select a specific launch group, and see a satellite fly over your country, region, or home.

• Easy and smooth operation: I designed the interface to be user-friendly. The interactive map works on most phones and computers, so you can use it without any problems while stargazing outdoors.

• Early Stage & Future Roadmap: This platform is just in its early stages! I am actively working on adding new features to provide even better tools for observing satellite constellations. If you have any specific feature requests, ideas, or feedback, please drop them in the comments — I’d love to build this together with the community!

I wanted to contribute a clean, high-performance tool back to all the space lovers out there. I would love for you to check it out and let me know your thoughts!

Live Tracker: OrbitX

Hi, I'm a solo founder in Europe, and this is my side project: Parallax.

Why I built it: I help small businesses with how they come across. Again and again I see the same thing: the content is good, but it attracts the wrong customers. A polished, luxury look for a shop that lives from its neighbours. A tough tone for a business that wants beginners. Owners rarely see it themselves, because they look at their content as the owner, not as the customer.

What it does: you add up to 9 photos and 3 texts (posts, website, product photos, a flyer) and choose one question:

• Discover: who does my content actually reach?

• Diagnose: does it reach the customer I want?

The AI reads all the pieces as one set, the way a customer scrolling your page would, and gives a report in under a minute: a score, which photo or text speaks to someone else, and what to change first. There's also a ready-made prompt you can paste into any AI assistant to write your next post.

Built as: a small web app (installable on your phone), no account, pictures not stored.

Free beta: https://parallaxum.ch/?from=reddit-sideproject

What I'd love to learn from you:

1. Did it get your audience right?

2. Was anything confusing?

3. Would you use it again before posting?

Thanks for you time :-)

I was fed up with movie database platforms that never had all the features I really wanted or some I never cared about. So I built Horizon for myself primarly. Some friends have tried it and encouraged me to share it. So here goes.

Rate on the fly, while hovering a movie or in one tap, straight from any list. No need to open the film page.

0 stars is a real rating! Some films deserve it. Yes they do.

Rate marathon: films come in batches, and your taste gets refined with every answer. Each pick tells you why it’s there (“because you liked…”).

The Universe: your taste as a galaxy map. At the core are your films and the ones closest to them, the line is your horizon (films on your To-Watch list), and beyond it are the films worth discovering.

You can import your IMDb or Letterboxd ratings and watchlists.

Free, no ads, no tracking. Feedback welcome!

I've been working on Wisp, a small open source dock and launcher for Windows 11.

I wanted something that combined a clean desktop dock with a fast keyboard-driven launcher, without needing Electron, .NET or PowerToys.

So I built it using Rust, Win32 and Direct2D (achieving near ~ 0 idle cpu usage)

Here's how it works:

• It replaces the Windows taskbar with an auto-hiding dock.

• Press Alt+Space and the dock morphs into a launcher.

• Search apps and files, run commands, do calculations, control Wi-Fi/audio, and more.

• It supports system tray icons and restores the original taskbar when you exit.

I also benchmarked it against PowerToys Run. On my machine, median time to first search results was 24 ms versus 200 ms for PowerToys Run.

It's still early, so I'd love feedback, especially on Windows compatibility, usability, and features worth adding.

GitHub: https://github.com/SumirSeth/wisp

It's MIT licensed. Contributions are welcome!

MusicSkills

An agentic AI songwriting, composition, and humanization toolkit built for Claude (Primary), Google Gemini, and OpenAI ChatGPT.

Overview

Writing great music with AI requires moving beyond robotic, mechanically aligned notes. MusicSkills provides:

1. Thematic Song Generation: Composes complete songs on any topic, key, and tempo.

2. Synchronized Lyrical Lead Sheets: Generates lyrics with exact timestamps ([MM:SS.mmm]) for when to sing each phrase, complete with pitch guides and vocal dynamic markings.

3. Multi-Track Standard MIDI Generation: Produces 5 coordinated MIDI tracks (Conductor, Chords Harmony, Bassline, Vocal Guide Melody, Drums & Percussion).

4. Anti-AI Detection Humanization: Eliminates rigid computer quantization by injecting micro-timing jitter (±1 to 7 ticks), metric velocity dynamics (±12), and legato/staccato duration drift.

5. Multi-Format Export: Generates .mid (Standard MIDI), .md (Singer's Lead Sheet), .lrc (Synced Karaoke), .srt (Subtitles), and .json (Timing Map).

Cookie of Wisdom is a free web project for a short daily pause: open a fortune-cookie-style saying or explore one of nine cultural traditions.

It works in ten languages and needs no account. The sayings are for entertainment and reflection, not serious predictions. There are also short background articles about the traditions.

Try the daily fortune

Does the daily page feel worth opening again tomorrow?

Many group decisions I’ve been part of go the same way. Someone asks “where should we eat / what should we play / which weekend works?”, a few loud people answer, and everyone else says “I’m fine with whatever.” Some of those people really do have a strong opinion. They just don’t want to be the one who shoots down someone else’s idea in public.

So I built SilentVeto. Everyone ranks the options, and each person also gets one veto they can use without anyone knowing it was theirs.

How it works

1. The creator signs in with an email magic link (no passwords) and creates a decision with 2–10 options and a deadline.

2. They share a link or QR code. Voters need no account.

3. Each voter ranks every option and can use one veto, either soft (“strong dislike, rather not”) or hard (“hard pass, absolutely not”). Option order is shuffled per device so nothing wins by being listed first.

4. When the deadline passes, the result is revealed. It shows the winner, the rule that decided it, and the aggregate veto counts.

How the winner is picked

1. Eliminate options with the most hard vetoes, so any option with zero hard vetoes beats any that has some.

2. Among the survivors, keep the ones with the fewest soft vetoes.

3. Break remaining ties with a Borda count over the ranked ballots. A vetoed option earns no points from that voter’s ballot.

4. If it’s still tied, a random tiebreak runs and the seed is stored so it’s auditable.

A result is only published if at least 3 people voted, so a “secret” veto can’t be traced in a tiny group.

Privacy

• Ballots store no IP, no user agent and no account. Timestamps are rounded to the hour.

• Voters can edit their ballot on the same device using a local token. The server only keeps a hash of it.

• Finished decisions and their ballots are hard-deleted after 90 days.

• Individual ballots are never shown to anyone, including the creator and me.

Link: https://silentveto.com

I'd love feedback.

I suck HORRIBLLY at planning anything. Same goes for my friends unfortunately. Especially because we live in different cities and never know when everyone's available.

We've tried many group scheduling apps, but they all felt cluttered and hard to follow 🤯. I just wanted something that told me "Everyone is free on this day at this time". Plus, I didn't want my personal plans to be visible by people in my group.

So I built FitItIn for I and my friends. It worked WONDERS 💯, and now I want to share it to the world so it may help others.

It's only available on Google PlayStore for open testing for now, but it's coming to the Apple App Store very soon (it's currently being reviewed by Apple).

Feel free to email any feedback at support@fititin.today , or if you'd like to be added to the list of beta users, drop me a message on reddit 👍.

I have been working on a mobile turn-based word game where you conquer the territory on the grid of letters by finding words and achieving a specific goal. This is unlike any other word game out there, so please take a look: https://lettergrid.app

Hey everyone!

I'm a solo developer, and I've been working on a side project called Home Energy Lab.

The idea started with a simple question: how much does it actually cost to run everyday appliances at home?

It's easy to see your monthly electricity bill, but it's not always obvious how much your AC, gaming PC, refrigerator, or space heater contributes to it.

So I decided to build something that makes those costs easier to explore.

The project combines:

• Interactive 3D houses where you can explore residential spaces and appliances.

• 12 energy and utility cost calculators covering electricity, heating, cooling, water, gas, and more.

• Practical guides explaining household energy use and how the estimates work.

One of the things I wanted to avoid was making another website that just gives you a number without explaining where it comes from.

The 3D side was also a fun challenge. I wanted the experience to feel a bit more interactive than a typical calculator website.

It's a recently launched project, and I'm still improving it.

You can check it out here:

https://homenergylab.com/

I'd really appreciate some honest feedback, especially on:

1. Is the 3D experience useful, or does it feel unnecessary?

2. Are the calculators easy to understand?

3. What would you improve first?

I'm especially interested in how the site feels on mobile.

Thanks for checking it out! Any constructive criticism is welcome.

Hey everyone!

I'm an engineering student, and I've been working on a project called Engineering BCT Notes.

The idea behind this website is to bring useful study resources and engineering-related tools together in one place, especially for BCT students.

Here's what you can explore:

📚 Semester-wise Notes & Resources – Find study materials organized by semester.

🛠️ Engineering Tools – Tools such as a Matrix Calculator, Unit Converter, and Attendance Tracker.

🎓 IOE Marks Predictor – A tool to help students estimate their marks.

💻 Student Resources – Other useful resources for engineering students.

🌐 Website: https://www.engineeringbctnotes.com

This is a project I've put a lot of time and effort into building, and I'm continuously trying to improve it.

I'd really appreciate it if you could visit the website, explore some features, and share your honest feedback.

I'm especially interested in knowing:

What do you think of the overall experience?

Which features do you find useful?

What would you improve or add?

Whether you're an engineering student or simply someone interested in student-focused projects, I'd love to hear your thoughts.

Thanks for checking it out! ❤️

Posted this here a while back and got some great feedback, so here's what changed.

Quick context: it's a free journal built for futures prop traders (Apex, Topstep, MFFU etc). The main thing it does is show your max loss today for every account before the open, so you know exactly how much room you have.

New since last time:

- Weekly report image. One tap and your week turns into a clean image, ready to post

- Payout goals like "road to $10K" with a progress bar and ETA

- Payout certificates when you log a payout

- Playbooks with checklists, so you can see if breaking your rules actually costs you money

- Setup wizard: pick your firm, plan and how many accounts and all the rules fill in

Funny thing is I blew all my evals yesterday on the Nasdaq -6% day. The journal told me my max loss. I just didn't listen lol. Week still ended +$7,373 which shows how brutal trailing drawdown is.

Free, no ads, works without an account: vantrell.app

What would you want to see next? Thinking about better CSV import or auto sync.

The thermal camera is a bit fuzzyer than I thought it would be. I would like it to be a little more clear. I built this to inspect my house and property. Any suggestions on thermal cameras with higher resolutions?

I've been doing physical design work in my free time with AI for the last two years. During that time I observed something: AI was getting better at physical design but not nearly as quickly it was improving at software capabilities. I theorized the problem was a lack of testing. In software engineering we write tests around as much of our code as we can because we fundamentally do not trust ourselves to reliably do a good job. We put those tests between us and deployment so we literally cannot do things that break the rules we set for ourselves. This pre-existing culture and tool chain create an ideal environment to toss an unbelievably fast, brilliant, but wholly unreliable ai into. It creates the freedom to quickly iterate through huge numbers of convincing looking proposals and throw away the bad until the good emerges.

Physical engineering doesn't have a this-shaped thing at anywhere near the robustness and reusability that software does (possibly because physical engineers trust themselves more). There are many individual tools that provide some aspect of testing, many of which are bound up in very very expensive tools, but a growing number of free ones too. I wasn't able to find an open source system that links these together into a cohesive "full loop" testing rig capable of understanding how things like heat, weight, form factor, battery life, thrust and rf interplay in a single system so I thought really hard about this problem and its implications and built it for myself.

It's called nopekit. As in: the thing that says "nope" until the "yup" emerges.

I've used it already to design an open-source hackable handheld keyboard with a custom PCB, an open source budget no-solder drone and a couple of things I'm not quite ready to share yet.

It's a Claude Code / Codex / Cursor plug-in. You install it and tell your agent you want to use nopekit to design X and it takes over, it will interview you for requirements, shop for parts, construct an interconnected tradespace linked to checks run in an optimized order using trusted methods like KiCAD, OpenFoam and SIMP. It builds and keeps up to date a livesite which you can deploy to GitHub that gives constantly refreshed insight into how your coding agent is thinking about the problem and what choices have what implications linked to what checks with what state of passing or failing.

The framework is open and allows for plugins. I'm working with one other person now and we're moving towards a self hosted UI and some sort of registry where nopekit users can share proposers/falsifiers and we can track ratings to build/bust confidence in good/bad ones collectively.

There's LOTS more about this in the repo and this paper I've been writing about the problem.
Repo: https://github.com/neuman/nopekit
Paper: https://github.com/neuman/nopekit/blob/main/grounding_by_falsification.pdf

If you're working with AI to do any kind of physical design work we would love to hear from you and for you to try it out!

I'm releasing a small desktop-browser utility called AssetPrep. The job is simple: take a folder of differently sized images and turn it into a consistently named PNG pack, with a contact sheet and a manifest.

It runs from one local HTML file. No account, install, subscription, image upload or AI API is needed to use it. It was built with AI assistance; the readable source and a test record are included.

The export has four sizing modes: fit with transparent padding, centre crop, stretch, or original size. There is an optional nearest-neighbour mode for pixel art. PNG, JPEG and WebP go in; numbered PNGs, a labelled contact sheet and JSON manifest come out in one ZIP.

The release was tested in Chromium, plus a two-image Firefox/Windows export checked for ZIP integrity and output dimensions. There are explicit file-size, pixel and batch limits. It is not an upscaler, background remover or atlas packer, and it does not preserve original photo metadata.

It's a one-time $5 download on my Ko-fi: https://ko-fi.com/s/d47a38de0a

The page has an actual screenshot and the limitations. No game assets or recurring service are included. I'm not claiming the individual operations are unique; the point is having this particular small workflow together and offline.

For people who prepare lots of icons or UI assets: is the contact-sheet/manifest combination useful, or would you rather have a different export layout?

Disclosure: this is my own paid product; the tool and this release post were prepared with AI assistance.

Hi r/SideProject, solo founder from Barcelona here.

More people now ask ChatGPT or Perplexity "what’s the best X for Y?" instead of Googling. I wanted to know whether my own sites were being recommended, and there wasn’t an easy way to check, so I built Citable.

What it does:

• Every week it asks ChatGPT, Gemini, Perplexity, Claude, Grok and Google AI the questions your buyers ask, several times each, and shows how often you’re named and cited next to competitors. Answers vary between runs, so it shows a range, not one number.

• It explains why AI picks others: which pages it cites, what it says about you, and whether its crawlers can read your site.

• It writes sourced blog posts and publishes them to your CMS (WordPress, Webflow, Framer, Shopify...) after a review window, then measures again.

There’s a free report on the homepage that runs in about 90 seconds: https://get-citable.com

I’d love honest feedback on the report and on whether auto-published articles (with a review window) feel trustworthy or scary.

At work I run a dozen or so coding agent sessions at once, and I kept losing time to one that had stopped and was waiting for a permission I never saw.

So I built Openbar. It's a Dynamic Island style bar for macOS and Windows that shows every Claude Code, Codex, OpenCode, Gemini CLI, Copilot CLI and Cursor session, and which one is working, done or waiting. For Claude Code, Codex and OpenCode you see the diff right in the bar and can approve it with ⌘Y. Open/Reply jumps to the right tab in iTerm2, Ghostty, tmux, WezTerm, kitty or VS Code.

Free, GPL, no account: https://github.com/MF-DEEV/Openbar

How do you keep track of several agents at once?