Last Saturday my parents' Xiaomi TV played a full-screen sponsored ad before they could even open Netflix. I gave Claude Code the model number, it found the TV on our Wi-Fi, turned off 25 ad and tracking apps (disabled, not uninstalled) and built them a simple home screen with just their apps.

I posted the before/after and it took off. In 4 days:

• 200+ people sent pull requests adding their own TVs, now ~150 models from 50+ brands
• 16k GitHub stars
• It works on Android TV and Google TV, no root, and one command puts everything back

What surprised me most: the prompt that makes it work is mostly a list of things the agent must NOT do (never uninstall, back up first, never touch the packages that break casting or Wi-Fi). Most of those rules came from strangers' TVs breaking in new ways.

Free and open source: https://github.com/Gathin23/cleanyourtv

Happy to answer anything about it.

A new site, four phone agents, a daily AI digest, six games, a workout app, an embroidery file converter, a Whisper setup, a skill scanner and a content calendar.

The pattern that worked: I keep each build small and finish it in a day or two. The ones that dragged were the ones where I hadn't said what "done" means. Happy to share how I brief it.

I've been working on a project called pressaudit.org , and it isn't quite like Ground News but it does do everything they do better and for free. The drawback is that my UX isn't as simple, but it reflects a data platform that actually delivers the promise of spotting blindspots and partisanship. The best thing about it is that I insert federal regulation updates into the news whether major outlets report on it or not and give them provenance in the feed they would otherwise never receive, and an easy comment builder form to write the govt with your opinion. I do a comment analysis for sentiment and significant issues on all public comments and share that analysis for free. Even if major outlets didn't bother to report on real policy action, because they were too busy peddling politics-as-a-soap-opera non-news, that's fine. The regulation I've collected hundreds of comments from citizens to the federal govt through my form builder.

I like the idea behind Ground News: seeing how different outlets cover the same story, what gets overlooked, and how political perspectives differ. But it's usually wrong. The data platform at Ground News is fundamentally broken. They flatten everything out with AI summaries instead of showing the voice of the article, they fall right into the trap of "NY Post is right therefore every story by NY Post is right" by only doing outlet analysis. And even the outlet bias ratings are debatable, with massive conflicts of interest between their funding sources and their claim of being non-partisan.

What I offer that they don't:
-completely free, for one. I don't charge anything because I don't understand why this costs money and the pipeline costs are less than I spent on guitar pedals during the deepest year of my midlife crisis
-the ground news blindspots thing: https://pressaudit.org/blindspots
-a really rigorous midterm tracker: https://pressaudit.org/midterms-2026
-real-time analysis of bias and quality at the article level that shows not just WHO reported on it but HOW it was reported on, with full traceability to the reasoning on every article, as well as quotes from outlets to surface the debate, eg: today's top story: https://pressaudit.org/f/topstories?cluster=04f1a159-63b2-45af-aeb2-8629d4252845
-uses that analysis to always put the objectively strongest piece of journalism with no paywall at the top of every story. To hell with my analysis, you don't have to read it, and you can skip paywalls
-i pull in US federal regulations and show it, whether or not the news reported on it, i give provenance in my feed. i also do comment analysis and allow you to submit directly to the government. this is all baked into the news feed, if the news failed to report on it, the regulation is sufficient as a news object, eg: https://pressaudit.org/regulations/USCIS-2026-0364-0001
-an analytical dashboard called the heatmap that has insanely powerful sorting and filtering: https://pressaudit.org/heatmap
-my own independent outlet ranking, based on an operationalization of the U Penn media bias analysis project: https://pressaudit.org/outlets; https://pressaudit.org/outlets?tab=article-evals
-a modern news feed UX and search experience that doesn't dead-end; GN just shows you recent news and has no modern feed UX, mine is modeled off of the reddit feed for deep reading, google for when you just want the best free articles, or analytical dashboards when you want to get analytical.
-browser extension that works on reddit, X, facebook, and news sites to show you the article-level evaluation and best free version: https://pressaudit.org/extension
I have a whole page on this here: https://pressaudit.org/ground-news-alternatives

Most of my processing relies on data pipelines, there is a bit about methodology on the page, and I use Qwen for article evals and comment analysis on regulations.

The biggest problem with GN is that most of their "60K articles a day" are just content mill slop from Times of India or international outlets that they claim are "right wing" even though right doesn't mean the same thing internationally, so most of their blindspot reporting is nonsense. It looks convincing at a birds-eye view, but they have completely succumbed to the firehose, their data platform cannot handle it, and their analysis is flat-out wrong. They chose quantity over quality.

I was a staff engineer at Stripe for 6 years before that, and managed engineering teams at Stripe, AWS, and Prime Video. So while i admit this is all vibecoded AI slop (you have to just own it in this era: anything you do will be written off as slop), so let's get that out of the way early. I don't want to change the world with this project. I just want to basically create a version of Ground News that is intellectually honest. Is intellectual honesty marketable? Fuck no. I'm a guy. They are a company of 50-60 people, over half of them marketing. Their product is a good promise but simply doesn't deliver anything useful or insightful due to its broken data platform.

One closing note: News apps are not profitable and no one should build them hoping to make enough money for a living. They are an incredible chassis to learn the new genAI tools, because the data is challenging but not insurmountably so. Unlike Stripe payments or AWS, you're dealing with thousands rather than millions of daily transactions to process. They're fun. If I get a lot of usage, I'll try to cover serving costs with donations or ads or a subscription to some non-essential bloatware, until then, have at it and enjoy the free ground news.

Hope you enjoy! Would love feedback.

I honestly believe that we are not far from seeing software factories/companies that claim that they don't write a single line of code using AI and they will charge insane amount of money. Same with graphic design, copy writing, etc...

Thoughts?

Built https://www.autospend.app/ . Punch in up to 4 cars and compare fuel cost, efficiency ratings, and insurance claim indexes side by side, using Canadian and USA data.
Made this for fun and I'd love to hear what you think. Let me know what's missing or what you'd change.

Insurers are legally required to publish their negotiated rates with hospitals (Transparency in Coverage Act), but they bury it in massive, nearly impossible to access files.

So I scraped 100TB+ of this data and built a AI chat-based tool that makes it searchable:

• Estimate costs for medical procedures, visits, labs, imaging before you go
• Find cheaper providers nearby and see exactly how much you'd save
• Check if they're in-network and see reviews

The price gaps are insane. Same MRI can be $400 at one place and $2,800 ten minutes away. Insurers hope you won't shop around.

Try it out: https://momentarylab.com/healthcare-navigator

Got to 10K users through SEO and the product is still rough around the edges, but would love feedback on what would make it more useful! Happy to chat about what worked well for us regarding distribution :)

Introducing 'Inter Folia' - - A virtual library where you can browse and read real books

Enjoy the hunt for a great book while exploring some of the world's most beautiful libraries in our virtual park setting. Find real books from Project Gutenberg, Open Library, and other open sources. Browse, check out, and read directly in game or send to your favorite e-reader.

Early Access on itch: https://noodleonit.itch.io/inter-folia

Current features:

• Five famous library buildings recreated and fully explorable containing the book collections, in a chill park setting.
• 180k copyright-free books from Project Gutenberg are readable in game.
• Card catalog search system. Search by author/title/subject, choose a book and a cat guide will lead you to it's location in the stacks
• Books are organized by Library of Congress subject areas and author for easy browsing and discovering new titles.
• Check out system and book drop locations, so you can ready anywhere in the park. Links to download for your Kindle/e-reader for reading anywhere IRL.

Future plans:

• NPC's that read audio short stories / poetry in various locations across the map
• Secret doors that open when certain books are selected
• A goal of 12 famous library buildings, and 3 million browsable books
• A 'banned book' library

Bonus feature if I finish everything else:

• Fill the park with an arboretum of real tree species, recreated in 3d to as close to reality as possible, all labeled for visitors to learn about and appreciate while they listen to their audio books.

Happy Reading!

Inter Folia, Fructus

I wanted to share my journey building JuicySearch, an OnlyFans search engine that's taken off much faster than I expected.

The Problem

OnlyFans is huge - $7.9B revenue in 2024 with 5M+ creators and 400M users. But there's a major issue: OnlyFans has no native search functionality. Users can only find creators through direct links from social media or other channels, making discovery incredibly difficult.

Solution:

After studying all the existing OnlyFans search engines and reading countless Reddit threads about what users actually wanted, I spent 5 months building JuicySearch with these features, and I think I got the best product available right now:

• Natural language search - Type anything and get relevant OnlyFans creators
• 500K+ indexed creators in our database (classified with local uncensored LLMs)
• Location search - Find creators near you (city/state level for US, country level globally)
• Advanced filters & sorting - Narrow down creators by numerous attributes, and sort by many options (age, gender, fetishes, body preferences, content type etc.)
• TikTok-style browsing - Switch between grid view to TikTok style browsing with even more details about creators
• Image search - Upload a photo to find that creator or similar OnlyFans creators using face match
• Wishlists - Save creators you're interested in
• Browser extension - Find similar creators while browsing OnlyFans available on Chrome and Firefox

First Month Results

After 30 days of promotion, I've done some paid ads, but also organic promo, getting 50% of traffic directly with:

• 50K users
• $2K+ in revenue (CPA, CPL, CPC)
• 6+ minutes average time on site
• 20% returning users daily

The key difference between JuicySearch and competitors is relevance. Other OnlyFans search engines prioritize paid placements over relevant results. I only show sponsored creators when they actually match what people are searching for. But also I have much better filtering and sorting options, wishlists, TikTok browsing style, and image search no one else offers.

What's Next

I'm working on enhancing location search globally, improving the matching algorithms, and also will work on search suggestions but need more data for this. Each day I'm thinking about new features that I can add.

The main work will still be doing promotion. SEO is the primary focus but I don't want to push it unnaturally. I'm sure I have the best OnlyFans search engine, so SEO will come naturally over time.

What do you think? If you want to check it out and give feedback, I'd appreciate it!

More info on my website: https://merlinslibrary.net/

Essentially the library can read all markdown, txt and word files. You can fill the library with over 3000 of your own books and interact with the library through magic or through the animals

Hi! I'm Ria (she/her) and I am currently a college student. I have been working on a product called mooboard. It is basically a smart matrix LED display that can show various things throughout the day like timed lyrics (my fav) as you listen to music, the time and weather, calendar events/tasks, TV Shows/Movie titles and seasons, and so so much more. It also has a growing app store with 20+ custom apps (with a public dev kit to make more) and free updates for years to come.

I originally built this as a product for myself using an ESP32-S3 as a way to have something cool on my wall and learn how to do embedded systems work. Got a little too interested and now I have a print farm, and just last week I sent out my first custom PCB!!!

I am working on making a small batch by the end of this year and have already started shipping dev boards to some friends. I’d love to know what would make you want one, or what would put you off.

Hardware and product walkthrough: mooboard.co/start
Web portal: https://imgur.com/a/BGkNiQ5

So far, it's just been me doing all the work so I am also looking for more developers/help too!! Thank you!!!

Also, join the discord: mooboard.co/discord

Hey all. I’m one of the founders of Braind.

What it is: AI agents that handle the back office for one-person and small businesses: invoicing, chasing late payments, bookkeeping, admin. We already run agents for a handful of small firms, and we just opened early access for solo operators.

The one design decision we keep coming back to: everything is approval-first. The agent drafts the payment reminder, the invoice, the follow-up, and you approve it before anything is sent. From what we’ve seen, owners don’t fear AI being bad at the work. They fear it acting without them: emailing a client, changing a price, sending something they never saw.

Where we are: early. Some parts are live with early customers, others are still being built. Free until you’re earning.

What I’d love feedback on:

1. Does “approval-first” make you trust it more, or does it sound like extra work?
2. Does the page explain it clearly in 5 seconds? braindd.xyz/founders?src=reddit-sideproject&icp=5

And if you run something solo: what’s the one admin job you’d hand to an AI tomorrow?

Got my small project to the point where i can start charging for it, but now im wondering whether its worth keeping the payment page on my own site or just redirecting people somewhere else.  Never thought checkout would be one of those tiny decisions that turns into a whole afternoon of research lol, but just noticed Whop and some other platforms offer both hosted and embedded checkout. I'm not sure how much difference that makes when youre starting out.

I've been thinking about this a lot lately.

When you're building something, there's always another thing to fix, another feature to add, another detail that could be better.

But sometimes I wonder how much of that polishing actually matters to anyone besides the person building it.

I personally think showing imperfect work earlier can be more valuable than spending months getting everything just right.

Curious where everyone stands on this. Does sharing early genuinely help, or does it just bring opinions that distract you from your original vision?

I'm Gavin, the founder. I kept watching friends ship an app in a weekend and then discover nobody wanted it. So in Tactyl, Dex questions you first: problem, customer, competitors, pricing. A live score moves as you answer. Our test idea hit 45% and "Problem validated" quickly, and the product builder only opened at 30%. At 50% a real person reviews it. Free tier, no card.

2-minute walkthrough: https://www.youtube.com/watch?v=qPz3YK9LkUA

I'd honestly like to hear where the questioning feels annoying versus useful. https://tactyl.co

After daycare, I get about 2h with my 2yo incl. dinner & then bed. Every baby app I tried for play ideas turned those 2h into homework, milestone charts quietly suggesting he might be behind, 3K+ activities library my brain can't choose from at 5.30 pm, daily notifications, and a paywall before you can see most of it.

Being a PM (10y at FAANG) & the mom here, I did the most PM thing - read the reviews to check if I was the only crazy parent. A few hundred 1,2-star reviews of the incumbents later, it was not just me. The same complaints repeat: the anxiety about "behind," paywalls, subscriptions, content overload that makes working parents feel guilty for doing none of it.

So I built the opposite, for my baby first:

- One card a day. One small fun play idea, matched to your child's exact age (0 to 36 months), also prepping them for the approaching milestones as a by-product.

- Every card has one honest line about WHY the activity matters.

What it deliberately does not have: homework, accounts, subscriptions, notifications, milestone tracking, or a server holding your child's data. Your child's birthday live in your own browser. No app store, nothing to install, works on any browser.

It is free, and live here: https://midnightbuilds.fyi/cuddles-and-cue/

Genuinely curious if it helps you too. What do you think?

Hearby reads text aloud on a Mac, mainly AI replies: select, press ⌃⌥S, listen. It cleans up Markdown and code before speaking, and the voice runs on the Mac instead of in the cloud. Things I learned getting it out the door:

1. Choosing a voice model meant choosing a license. The speech library I used links espeak-ng, which is GPLv3, so the whole app had to be open source under GPLv3. I'm selling the signed build for $19 and the code is on GitHub. Check what your dependencies link before you plan a closed-source business.

2.Apple's first notarization for a new developer team took about two days. Every one after that took about a minute. Don't schedule a launch around your first one.

1. A notarized app inside an unsigned DMG still fails Gatekeeper's check of the download. Sign the disk image too.

2. The voice bundle shipped with Chinese number-reading rules turned on. For a while, every number in English text was read in Mandarin. I removed those rules and wrote my own number speller.

The demo shows the same AI reply read as written (48 s) and by Hearby (17 s).

Site, with a 7-day free trial: https://hearby.app/?ref=r-sideproject

Source: https://github.com/HearbyApp/Hearby

Feedback on the landing page is very welcome, especially on whether the pricing section is clear.

https://reddit.com/link/1xc48tp/video/uzyd70qvywwh1/player

Imagine two people living thousands of miles apart. Both are flying to Rome next weekend. Same destination, same dates, potentially perfect timing.

But traditional dating apps probably would not connect them until they actually arrived.

So I built TravelNeighbors.

Instead of matching people based on where they live, it helps travelers discover each other through overlapping destinations and travel dates.

The platform is live in beta. But now I have run into a problem that no amount of coding can solve.

The cold start problem

If I launch worldwide, there may not be enough people in each destination, If I focus on just one city, I lose the whole point of building something around travel.

So here is my question for other builders

If this were your project, would you launch in one popular destination like Bali, focus on specific travel dates, or try to attract travelers worldwide from day one?

I am genuinely interested in hearing what you would do, including why you think this idea might fail.

For anyone curious about what I built:

https://travelneighbors.com

I’ve been working on this for a while: proschi.app

The main idea is that you write the high-level design (HLD) of a system in a simple DSL, with all the requirements next to it (like costs, p99 latency, availability) and an endless number of number use cases.

It all started with messy documentation I had to work with: HLDs were defined in one place, SLAs in a different place, use-cases in a third place; it was hard for me to perceive this, so I thought it made sense to combine all of them together and have a way to visualize it.

The language is pretty simple. Something like this:

user "User"      [Actor]
api  "Notes API" [REST API]
db   "Notes DB"  [PostgreSQL]

user -> api : HTTPS
api  -> db  : SQL

traffic {
  "Create a note" 200 rps
}

requirements {
  p99 "Create a note" < 200ms
}

Every component comes with default values (latency, capacity, cost and so on), so you can get going without tuning anything. If your setup is different, you can override them with your own numbers.

Other stuff that’s in there:

1. You can embed your diagrams in your own docs, wiki, or blog.
2. The .proschi files can run in your CI (npx proschi test), so if someone changes the architecture and breaks a requirement, the build fails
3. LeetCode-style problems, except instead of writing a function you design the app (URL shortener, chat, payments, video streaming...) and tests check whether your design holds up
4. Roadmap if you’re preparing for system design interviews
5. Review cards for training different system design topics
6. Skills for the agents so you can ask them to design the HLD for you.

It’s completely free. Everything you see now will stay available; I won't put it behind a paywall later.

I’d really like feedback, especially if something feels confusing or the simulation numbers look off for your use case.

Feel free to check the repo, contribute your own system design problems, or use it to document your use cases.

For the past few months, I've been building a product "Linden". Its a low latency deterministic layer for ai agents. Linden helps businesses verify AI-generated outputs before they lead to real-world actions. It evaluates AI outputs against expected schemas, trusted data, and business rules to determine whether an action should be allowed, flagged, regenerated, blocked, or sent for human review.

Linden helps businesses ensure their AI agents don't just produce convincing answers — they make decisions that align with actual business requirements, verified information, and configured limits.

I have tried cold email outreach that didn't work. Published a professional demo across multiple platforms, drove 0 signups. Now, i don't know if I just built something that serves no purpose. However, when i was building this, i did a research, looked at a lot of articles talking about the same thing. If this problem exists, then why no one willing to try it out?

Hey everyone!

I'm a computer science student building Countly, a nutrition app focused on helping people understand what nutrients they're actually getting from their diet.

I've noticed that a lot of food trackers focus heavily on calories and protein, but it can be harder to understand how your food, supplements, and bloodwork fit together.

We're building Countly to bring those together in one place.

The goal is to help users:

-Track calories, macros, vitamins, and minerals

-Track supplements alongside food intake

-Understand possible nutrient gaps over time

-Get food-first recommendations that fit their goals

-Track bloodwork results and how it changes over time

We're still developing the app, and I'm looking for people interested in testing an early version and giving feedback. Everyone on the early-access list will get 3 months of premium for free when the app launches.

I'm especially interested in hearing from people who currently use apps like MyFitnessPal or Cronometer, regularly take supplements, or track their bloodwork.

I'd love feedback on what's useful, what's confusing, and what features you'd actually use.

If you're interested, you can join the early-access list here: https://trycountly.app

Also happy to answer questions or hear what you wish your current nutrition tracker did differently.

Thanks!

I want to share a science-art project I developed with Livia Zaharia. We called it Whale & Dolphin Orchestra.

The idea is to combine whale and dolphin recordings from different parts of the world into a single orchestra. You pick recordings on a map, listen to the animals' calls, and generate music guided by their measured rhythms and pitch contours.

I made a video showing how it works: https://youtu.be/CI_CTcqpJ_Q

The prototype is here: https://whales.liviazaharia.com/

We selected short excerpts from open research collections (PANGEA, NOAA DCLDE, OpenWhistle, and the Dominica Sperm Whale Project datasets), including humpback songs, dolphin whistles, sperm-whale click patterns, and orca calls.

To make the music, we measure when phrases start, how long they last, and how their pitch changes. We map tonal contours to notes and clicks to percussion, then combine those parts into an audio guide for the music model. We choose the instruments and how those measurements map to music.

We developed this as a proposal for the HIFMB × HWK ArtWaves residency. Alongside the orchestra, Livia made a jewelry generator that uses the recordings’ amplitude and frequency to shape her ring designs. She also drafted a physical installation for the project.

Everything is open-sourced at https://github.com/Livia-Zaharia/whales

We’re still deciding which generative music model to use by default. In the video you can hear ACE-Step and Stable Audio 3, which one do you like more?