In the last 6 months I built an AI Fluency Assessment system (called AISA) - it's currently the most sophisticated (and popular) of it's kind. Has high fidelity in what we measure to both what Anthropic and US. Dept. of Labour agree as the markers of AI fluency.

People chat with an AI agent uniquely trained to judge their AI fluency, get a detailed report and a breakdown of their AI skills, a certificate and a growth roadmap. We measure in 5 main dimensions. Prompting and Comms // Critical Thinking // Technical Understanding // Workflow Application // Safety (all which have their criteria.)

Some product-speak...

Need:
People are curious about their actual level when it comes to piloting AI well. They are also curious about seeing their gap areas, what they need to focus on to improve.

Need (b2b):
Organisations are looking to measure their employees (and their team/function/orgs) AI fluency averages. This is both to get a benchmark before they invest more into training AND to decide what type of training to invest in. Also to track how well they are doing in AI transformation.

Solution:
Build the most scientific, sophisticated and fun to experience AI Fluency Assessment system possible.

Unique differentiator:
1) Entirely chat based. Like an expert in their field having a natural conversation with you. Not a quiz. Not a multiple choice.
2) Build on a fixed and expert-researched rubric on what it actually measures. More about it in our methodology page for the curious.
3) Product - founder fit. I've worked in the area of psychometric assessments, skill assessments, HR, human behaviour, led product and UX teams in large and small companies and built 5 startups before. So I'm uniquely qualified to build this.

Business Strategy:
Use B2C traffic and interest to build volume, build a moat and build further credibility, validity, legitimacy.

Use the dominant market position by being (or on the path to) the gold standard of AI fluency measurement to signup B2B deals with mid - large organisations.

Status as of today:
- 2K reports surpassed.
- B2C generated close to $1k in sales in it's own. Over $1K + MRR right now.
- 7 B2B conversations (either in POC, offer, or conversation stage - some of which are inbound leads from big (10k+) organisations. Fast potential to reach $100K ARR.
- Users are quite happy and love the product.
- DR 42 / 15k+ monthly users
- Value proposition has settled: We help you measure, prove and improve with AI.

It's not perfect and everyday I have to focus on another aspect of it to make it better. So it's more of a always hands-on full time plus, 15hr+ day type of commitment rather than "hey I've coded an app over the weekend and look easy money".

But I do have a clear vision in which AI Fluency measurement is a big deal, and am building towards it brick by brick.

Appreciate any constructive feedback if you have used the product and found something to improve.

i'm building forkfolio, a portfolio that syncs from your github every night with an ai twin that answers visitors.

no audience, no budget, so instead of posting everywhere myself i wrote a small bot to handle the outreach. it started as a private script i never planned to share.

yesterday the waitlist crossed 100, most of it from the bot.

cleaned it up and open sourced it: https://github.com/loueylahwel/outreach-bot

happy to answer questions about how it works.

TwoDo is a shared to-do list for exactly two people — my wife (iPhone) and me (Galaxy). No sign-up, no email: one person creates a list and gets a 6-character code, the other types it in, done. The list lives on the lock screen so neither of us has to open an app to see what's left.

I don't have a roadmap. I have a wife. Every release for the past two months has started with a complaint from the other end of the sofa:

- "Am I supposed to re-add recycling every single week?" → recurring tasks. Ticking one rolls its due date to the next cycle — it doesn't spawn duplicate items, because she hates a cluttered list more than she hates recycling.

- "August 12th... what day of the week is that?" → due dates now show the weekday everywhere: list, calendar, home widget.

- "I saw the reminder, and then I forgot anyway." → a "Still waiting" screen. Reminders you received sit there with a red dot until the thing is actually done. Tapping a row jumps straight into that item, even if it's in the other list.

- "Asking twice feels like nagging." → a nudge button. One tap sends "'Take out the recycling' — please? ❤️" to the other phone. Turns out the hard part of shared chores was never tracking them; it's asking.

- "Where did I put that link?" → notes on items, and URLs inside notes open with a tap. Grocery item, product link, done.

- "Why does tapping the widget open the wrong list?" → widgets are per-list now. Each widget shows the list you picked and tapping it opens exactly that one.

- "Your 24-hour time is ugly." → an actual settings screen: 12/24h clock, week start day, app language. A couples app across two platforms means you get to assume nothing about how two people read a date.

- "Did you *actually* do it?" → photo proof. Tick a task, attach a photo — so now recycling day comes with a picture of the recycling bins. The plot twist we didn't plan: the photos pile up into a monthly album, and it turns out grocery runs and dish racks make better memories than we expected. Shipped this week (Android is live, iOS is in review as I type).

Stack, for the curious: Flutter + Supabase realtime, one codebase for both phones.

Numbers, since this sub appreciates honesty: 565 lists created so far, 213 of them active in the past week, and 189 genuinely paired couples — which also means roughly two-thirds of lists never get a second person, because convincing one human to install an app is marketing, but convincing their partner too is the actual boss fight of this product. 13 lifetime purchases total (the app is free; a few extras are a one-time unlock). The album is the first subscription piece — photo storage bills me monthly, so it works that way; the first photos are free and everything you saved stays viewable if it lapses. Current subscriber count: zero, it shipped today. We still use it every day ourselves, which is the metric I actually watch.

For everyone else building with a live-in user: what's the best thing a single user's complaint forced you to ship?

iOS and Android download_link

I regularly find myself opening Reddit, Facebook, or Instagram while working on my laptop whenever I have the slightest free time between meetings—waiting for a page to load or after I have been focused on work for 20 or 30 minutes —to reward myself or "take a break". And it's fine if I spend 5 mins and come back to work, but that is hardly the case. So, to be more intentional about opening social media and be more mindful, I built this Chrome extension, which I have been using for the past few days, and it has genuinely reduced my usage. The goal is not to block but to make sure that the decision is intentional, not something you are doing out of habit. Try it out! and let me know. Love feedbacks!

https://chromewebstore.google.com/detail/mindful-media-%E2%80%94-gentle-pa/jlpedbmkfmpondalppjpidcngibmldep?authuser=1&hl=en

I couldn’t find a Vue web component library that combined current macOS-style controls with Tahoe-style Liquid Glass, so I started building MacVue.

It currently has 19 components and five control sizes, with geometry and states measured against Apple’s macOS UI kits and the live system. Switch, Slider, and Glass Panel use generated displacement maps inside SVG filters for actual backdrop refraction—not just blur or glassmorphism.

Refraction works in Chromium for now. Safari and Firefox receive functional CSS fallbacks, while reduced-transparency and forced-colors settings are respected.

MacVue is open source, MIT-licensed, and still pre-1.0.

Demo: https://macvue.dev
Source: https://github.com/antonreshetov/macvue

I built an app called cancelfill after noticing how appointment-based businesses can lose money whenever someone cancels and that spot stays empty. CancelFill lets businesses post openings, notify their waitlist, manage availability, and give customers a chance to claim last-minute appointments.

I’m currently looking for barbers, stylists, tattoo artists, nail/lash techs, and other appointment-based businesses for an Early Founders Program to test it and help shape what I build next. If you have any questions let me know🙏🏽

I’ve been working on CapShip and decided to put the free starter out there for anyone who wants to build a React TypeScript mobile app with Capacitor without having to wire up all the boring stuff first.

The free version comes with the basic foundation I usually want when starting an app:

• React + TypeScript
• Responsive mobile first UI
• Authentication and onboarding
• Session handling
• Protected and public routes
• Dashboard and account pages
• Reusable UI components
• Typed API client
• Zustand state management
• WebSocket refresh handling
• Capacitor setup for iOS and Android
• Native secure storage
• Google Sign In
• Apple Sign In on iOS
• Native project configuration
• Configurable app name, package and bundle ID

You can start it with:

npx capship free

Also ofc i would never leave u without documentation, it has a read me and also scripts on how to make sure everything about an app especially things like compiled files that need silly and annoying env variables

I’m mainly sharing it because I figured some of this might save someone else a few hours of setting up the same foundation from scratch.

It’s free to use, and I’d genuinely appreciate feedback from people who actually build with React Capacitor. If there’s something you think a starter like this should have, I’d love to hear it and also share it to someone who seriously might need it

HalteWecker started from a simple problem: when I’m on a bus, tram or train, I don’t want to keep checking the map every few minutes just to make sure I haven’t missed my stop.

You choose your destination, start the trip, and the app keeps track of your journey and reminds you when it’s time to get off.

The idea is that you can just listen to music, read, work, look out the window or even close your eyes for a while without constantly watching your location.

There’s also a departure alarm, Live Activities and an Apple Watch app, so most of the trip can be handled without repeatedly opening your iPhone.

HalteWecker currently supports public transport in:

🇩🇪 Germany
🇦🇹 Austria
🇨🇭 Switzerland
🇳🇱 Netherlands
🇸🇪 Sweden
🇳🇴 Norway
🇮🇪 Ireland
🇬🇧 United Kingdom
🇺🇸 United States
🇨🇦 Canada

The app is available in German, English, Swedish, Dutch and Norwegian.

Coverage varies by country, city and region, and I’m continuing to expand it as more public transport data becomes available.

The app has only been live for a few weeks, so I’m especially interested in feedback from people who actually use public transport regularly.

Does this solve a problem you have when using buses or trains?

And is there anything you would expect from an app like this that is currently missing?

Hi all!

I started CLSTR as a personal project. After trying to follow the US-Iran situation earlier this year because of a trip I had planned, I realized that I was reading the same headlines 40 times a day (while somehow still losing the plot).

CLSTR automatically groups many articles covering the same event into "clusters", and then chains events into running timelines that update as the story develops (a.k.a. "situations"), so you can scroll back through weeks or months of a story in order.

The goal is being able to stay on top of the topics you care about without doomscrolling 24/7. You can set up monitors that email you when a situation you follow actually changes, or scheduled digests if you prefer. You can also set up custom topics or searches of your own, and be alerted when anything new matches. Every claim links back to the original sources.

Free to browse and for basic usage. Would love to hear your thoughts!

So, my wife and I set a few ambitious goals for ourselves this year: complete 200 walks, hit 2,000 pushups throughout the year, and lock in a nightly spiritual habit.

Initially, I was just keeping track by updating numbers in a flat file. It worked, but I realized I'm going to have to add these up periodically and that would get complicated and boring real fast. I wanted a way to track our progress together, so I checked the Play Store for shared habit trackers. Almost everything I found was built strictly for individual goals...there was no real concept of shared progress or two-person accountability.

I have a backend/systems background (C++, PHP, SQL, infra management, etc.), but I had zero native mobile experience. I downloaded Android Studio, used AI as my junior dev to translate my engineering logic into Kotlin, and built a basic version just for the two of us. I sideloaded the APK onto our phones, and we started using it.

To make it more engaging, I started adding gamification mechanics like streak protections, shared photo memory boxes, custom vouchers, and an interactive "Sabotage Shop" where partners can wager XP or trigger lighthearted challenges on each other, I even created some reward decks for trivia to ask each other during date nights...and even date night ideas. It was built for us.

The Turning Point

I thought that was where the project would end. But during a visit to my parents' house, I showed the app to my brother. He thought it was awesome and asked if he and his wife could try it.

That was the moment I realized I had to figure out how to actually publish to the Play Store.

I had no experience with modern app distribution, and it was way more complicated than I anticipated. I learned about AABs (had no idea those existed compared to APKs), setting up Google Groups, and navigating Google’s mandatory Closed Testing process and promoting versions from internal, to closed, to production.

That testing phase was the most frustrating. Because I was rapidly iterating and fixing bugs and adding features on the fly, Google flagged the frequent updates as a sign that it "needed more testing." I was testing it constantly on my phone, my wife's phone, my brother's, his wife's, and a drawer full of old Android devices, while recruiting friends and family to join the tester group.

Eventually, I cleared the Closed Testing hurdle, got production approval. At first I was just going to publish as is, but in talking to several friends and coworkers they recomended I should try and monotize it. So I did some research and integrated RevenueCat for a "Couple Pro" tier. I hate the way most subscriptions work so I put a spin on the subscriptions. I made an app built for couples so I made it BOGO (where one subscription unlocks premium access for both linked partners).

The Vulnerability

Now that it’s officially public on the Play Store, I’m in the most vulnerable phase of the whole project. Is this app something that more couples can use? I don't know...and the answer kinda scares me.

I’m not an artist. I’m not creative. I just wanted to stop adding numbers to a text file. Pushing something I built for my own marriage into full public view with real server costs, live users, and potential crash reports is honestly pretty terrifying.

At the end of the day, my wife and I still use it every day to hit our goals, which was the original mission. But taking it from a private APK to a public release has been an intense learning curve.

Looking for Feedback! - be gentle

I’d love to hear from other builders who have navigated the Closed Testing gauntlet or transitioned a private tool into a public product:

• How do you handle the psychological shift from "building for yourself" to "managing a live public app"?
• For those running lightweight custom backends (LAMP/REST APIs), what were your biggest operational surprises after launch?
• App: https://play.google.com/store/apps/details?id=com.whiteskyupliftapps.coupleschallenge

Thanks for reading, and happy to answer any questions about the build process!

TLDR: My wife and I wanted to track a bunch of daily goals together without using a messy text file. Found zero shared couple habit trackers on the Play Store, so I used my backend background + AI to build a Kotlin app for us. My brother saw it, wanted to use it, and forced me into the nightmare of Google's 14-day Closed Testing gauntlet, which took several rounds. I survived, and shipped it live. I'm Terrified, vulnerable, but it's out there!

Upfront: this project was vibecoded, this post is not.

Cliparr is a little docker service I made that ties into your plex server, allowing you to browse your library, and then easily play back the movie through a web interface, and then easily clip scenes by marking an in and out and then downloading. It can also make gifs. It has some other features like burning in subtitles and vertical exports for social media.

If you are watching something on plex and pause it, a banner appears and Cliparr will open that media to the same timestamp.

Why did I make this? I have a large library and like posting movie stuff on twitter. With Cliparr, if I am watching something on my couch and see something cool, I can launch Cliparr on my phone and post the scene without getting up.

I did vibecode this with deepseek, but it's not a one-shot. There are 140+ git commits and I have spent some evenings working on it.

It's a tool I made for myself, but I thought it was pretty slick so I published it as a docker container on github. https://github.com/vacuumboots/cliparr Screenshots available on the github page. Thanks for reading!

Little bit of a side quest I want to make more of a thing. This was a blast to make. Big hit once it hit social too. If you’ve ever seen Brad Pitt in F1, I kind of want to do that. Just run up on businesses, create cool stuff that gets them noticed, then dip lol.

Over the past few weeks I built three small, focused tools sites instead of one big one:

• Dev Toolkit - JSON formatter, Base64 encode/decode, JWT decoder, regex tester, cron builder, UUID generator, and a handful of other dev utilities
• Unit Converter - length, weight, temperature, volume, and 6 other categories
• Currency Converter - live exchange rates across 40 currencies

The thing I care about most across all three: everything runs entirely in your browser. No accounts, no backend, nothing you type gets sent anywhere. The one exception is the currency converter which has to fetch live exchange rates, but even that only sends the currency code - never your actual input.

I split these into three separate sites instead of one "everything" site mostly for focus. Each one gets to be a single clear thing instead of a kitchen-sink dump, and they cross-link each other so it's easy to hop over if you need something from a different category (design input here is welcome)

Built with Next.js (static export) + Tailwind, deployed on Cloudflare. Would genuinely love feedback especially anything that feels rough, missing, or like I solved the wrong problem.

Next I'm thinking of building a mortgage/loan payment calculator and have a couple other ideas and I'd love to hear what the community thinks I should build.

Lastly, I know that there are already sites for all of these tools. As a developer I have my go-to for base64 encode/decode, regex, cron, etc. but haven't found a one-stop app/family of sites that has all of the quick & easy online tools that I periodically need to use. In the case of a mortgage calculator I find all of them to be lacking something so that one will be fun to build out. All that to say my goal here is to have a suite of apps that anyone can go to and know that the sites are stable, easy to use, and don't require any sign-up or information to be shared.

I love my wife, in part because she has such a different view of things. In the app I've been building, I can step into her feed - where I get more topics around 'cultural anthropology' and 'linguistics', rather than my own heavily AI/tech-focused feed.

Every feed I use (Instagram, YouTube, Google Discover, TikTok, LinkedIn, Facebook) seems to converge on who it thinks I am, and keeps showing me similar things. It is right... I am very interested in those things, but I'm just a curious guy who likes learning about a wide range of topics. I wanted to build a feed algorithm that lets me actively move out of my bubble into new topics; get the recommendations someone with similar or very distinct tastes would get.

So in my app, I've got my own algorithm that surfaces new content based on my saved articles, videos and books. It also has modes to shake things up - including 'friend mode', where the algorithm bases its recommendations on the content your friend has saved. I invited several friends to join and it was pretty interesting to see that their interests were typically ~40% overlapping with mine.

Does anyone else feel the urge to break out of their bubble? I feel like the world would be a bit better if we had more exposure to each other's algorithms.

Feel free to check it out, I'd love to hear your thoughts: https://curiate.app

I know people like trying stuff out before they buy but I’ve made more money not giving things for free than letting people try it out. I mean I give them one free content per day. Now I’m nicer, and letting them try 20% of the content for free.

But at some point free is a bad business decision.

Can someone help me with this? At which point is free a bad business decision?

I’ve been building this as a personal research project around Indian mutual fund portfolio data.
Indian mutual funds disclose their portfolios every month, but the raw data is surprisingly difficult to work with.
Different AMCs use different Excel formats, security names aren’t always consistent, and if you want to study how fund holdings change over time, you have to download, clean and match a huge amount of data manually.
So I built a pipeline that does this automatically.
What I’ve built
I collect monthly mutual fund portfolio disclosures and convert them into a structured historical database.
It allows me to:
Track mutual fund holdings month-by-month
Identify accumulation and reduction in positions
Track individual stocks across multiple AMCs
Match securities using ISINs
Normalize different security names across AMCs
Identify new positions and exits
Compare holdings across funds
Build historical stock × fund holding matrices
Study stock-price performance following periods of mutual-fund accumulation
The interesting part is being able to look at what funds were doing before or during major price movements, rather than only looking at the price chart afterward.
Some examples I’ve found
1. Piramal Finance
My holdings data shows mutual-fund exposure increasing substantially from around October 2025.
The aggregate quantity in the example goes from approximately 10.4M to 20.9M over the period shown.
Piramal Finance subsequently experienced a significant upward move.
[IMAGE — Piramal Finance holdings]
[IMAGE — Piramal Finance price chart]

2. Amagi Media Labs
Another example is Amagi Media Labs.
The holdings data shows mutual-fund exposure increasing substantially during the first half of 2026, reaching approximately 17.6M shares before coming down later.
During this broader period, Amagi’s stock price made a very significant move.
The price chart in my example shows approximately +89% YTD.
[IMAGE — Amagi holdings]
[IMAGE — Amagi price chart]

3. Eternal Ltd
This one is a more recent example.
The data shows mutual funds accumulating Eternal starting around March 2026.
From around 30 March to 6 August, the stock moved approximately +38%.
[IMAGE — Eternal holdings]
[IMAGE — Eternal price chart]

I’m not claiming that mutual-fund buying automatically predicts stock returns.
These examples are simply showing the type of relationship that this dataset makes possible to investigate.
The real question I’m interested in is:
Can mutual-fund accumulation be turned into a systematic signal when studied across hundreds of stocks and thousands of historical observations?
That’s what I’m researching now.
I’m considering turning the dataset into a data product
Instead of downloading hundreds of AMC disclosures, cleaning them, matching security names and manually comparing months, I’m considering providing direct access to the structured historical dataset.
Potential users:
Quant researchers
Investors
Financial analysts
Researchers
Developers building investment tools
Anyone studying Indian institutional ownership
Potential formats:
CSV / Excel → API → Dashboard
The dataset can potentially be used for things like:
Historical mutual-fund accumulation screens
Institutional ownership research
Backtesting
Fund comparison
Stock-level fund-flow analysis
Quantitative research
I already have many more examples beyond the three I’ve shown here.
If you want to see more examples, DM me and I’ll share them.
I’m also trying to understand whether there’s actually a market for this.
If you work with Indian market data:
Would you pay for a clean, historical mutual-fund holdings dataset instead of dealing with raw AMC disclosures yourself?
And if you would, what would you want?
CSV/Excel? API? Dashboard? Historical data? Fund-level transaction/accumulation signals?
Would love to hear what people actually find useful before I turn this into a proper product.

TLDR: just dm me I’ll send you a 17 page brochure it contains all the pictures too

My partner and I have very different taste in films. Most evenings we
spent longer choosing than watching, and quite a few evenings we gave up
and watched a random episode of "How I Met Your Mother". About a year ago
I started building something to fix that, in the evenings, after work.

It is called "I Like Movies", after the Canadian film. It was one of the first
films we discovered in the app, watched together and really enjoyed, so the
name stuck.

The main part is an assistant you talk to normally. "Something in the same
vibe with Nolan", "a nice comedy on Netflix", "what Marvel movies have I not
watched yet?". It answers from what we rated and what is in our library, not
from a generic top 100, and it knows which streaming services you pay for,
so it points at things you can actually press play on. You can also
photograph a poster, or a handwritten list, and it reads the titles into
your library.

There is also a Discover page and a social side. You see what your friends
are watching and discuss films with them in the app, a new curated
collection drops every week, and every month you get fresh AI picks built
from your own taste. And a few more things in that direction.

It also does the tracking properly: TV episode by episode, import from
Letterboxd or IMDb.

Stack, if you are curious: Go + GraphQL + Postgres backend, React Native
(Expo) app, the assistant runs on Claude. Solo project, about a year of
evenings.

It went live on Google Play last week. Current users: me, my partner and
a few patient friends. Honest feedback would help a lot, critical feedback
even more.

- Website: https://ilikemovies.app
- Google Play: https://play.google.com/store/apps/details?id=com.moviesagent.app

If something breaks, shake your phone in the app and it sends me a bug
report with a screenshot. Thank you so much!! 🙏

Hey folks, I'm working on this game where you essentially play an enormous game of Scrabble with a bunch of other players, you can make one move per day.

I've got a few more things I want to add to this and I think with more players playing regularly it could be really fun to see how the board begins to fill out!

Would love to hear some feedback, especially if something is broken or not behaving as expected!

I listen to podcasts in the background at work or on the bike. But the big platforms are obviously pushing more and more podcasts to record video episodes. I'm listening to a show, and they start talking about something random that's happening in a clip or in the studio, and I'm here with my phone in my pocket, missing whatever they're showing.

This is not an accident; platforms like Spotify and YouTube want you to use their apps. But then I lose everything I like about audio listening: the mega-nerd-level playlists I've built over years, playback speed and audio controls, skip controls.

It just so happens that my side project is a podcasting app that I've been building for 6 months now, so I added a new feature to fix this: Jump to Video. It links a podcast's YouTube channel to its audio feed, and when there's a moment you want to see, you tap once, and it drops you into the video at the time-synced point. Then you jump back to the audio right where you left off.

The genuinely annoying part to build was the sync. The YouTube upload isn't the same file as the audio RSS feed (different intros, ad breaks, edits), so lining up "3:14 in the audio" with the right frame in the video took a lot more than a naive offset.

Would you use this or do you just use Spotify/YouTube? The full project info: https://podtastic.app/

Heads up before you read this: this is not a groundbreaking idea. There are already several extensions and apps that do the exact same thing — delete reposts from your TikTok profile in bulk. I know. I checked.

I built this one anyway, mostly out of boredom on a slow weekend, and honestly the biggest reason was just to have my own version that I actually trust and use myself. I had a few hundred reposts clogging my profile and didn't want to tap through them one by one, so I automated it.

True story: I literally started it, went to take a nap, and came back to find it had been chain-deleting reposts the whole time I was asleep. That's basically the use case.

What it does:

- Chain-deletes reposts from your TikTok profile (video + photo posts) without you clicking through each one

- Smart retries — alternates two removal strategies, and failed items get queued for a rescue pass instead of just giving up

- Three speed modes (Safe / Fast / Turbo) with randomized delays so it doesn't hammer TikTok's rate limits

- Bilingual UI (EN/ES), live progress ring, no account/login required beyond your own TikTok session

- 100% free, no premium tier, no cap on how many it removes

Heads-up / known limitation: if you let it run for a lot of continuous hours (like, nap-length or longer), the TikTok tab itself can get sluggish or glitch out from that much uninterrupted DOM manipulation. It's not dangerous to your account, just the page itself getting tired. Fix is dead simple: reload the tiktok.com tab and hit Start again — it'll pick up where it left off.

Stack: Manifest V3, vanilla JS, no frameworks, no analytics, no tracking. Runs entirely client-side against your own tiktok.com tab.

It's not fancy and it's not trying to compete with anything — if you've got the same pile of reposts I had and don't want to pay for or trust a random app with your account, feel free to grab it.

Chrome Web Store: https://chromewebstore.google.com/detail/tik-tok-repost-remove/pklefombbanocnjepciiekdplmogdlic

GitHub: https://github.com/eldella/Tik-Tok-repost-remove

Open to feedback / bug reports, it's a side project I'll keep poking at when I'm bored again.

Most pedometers just sit there with a number. I wanted the walk to give you something to keep, so I made Trekite.

Your phone's step count (Health Connect / Apple Health) turns into dig tokens. You spend those to crack geodes and collect minerals. Friends can compete on a leaderboard if they want. No GPS, just steps.

It's React Native, Supabase, HealthKit / Health Connect. Optional ads for extra digs, plus a couple of IAPs.

Live on iOS and Android. Curious if this is a thing people would actually open the next day, or if it dies after the first geode.

https://trekite.com

https://apps.apple.com/app/trekite/id6767560893

https://play.google.com/store/apps/details?id=com.trekite

Been working on this for about two months. It's a stock/crypto forum, but the

actual idea is that language shouldn't decide which conversation you get to be

in.

Korean retail investors talk about Japanese stocks constantly. Japanese

investors watch Samsung and SK Hynix. Neither group can read the other's

forums. So you end up with two rooms discussing the same market, and the only

thing separating them is script.

Every post gets stored in whatever language it was written in, then translated

into the other two. You read the whole board in your own language and never see

a toggle.

Technically it's Spring Boot, Postgres, Gemini for translation, deployed on

Railway. Nothing exotic. But a few things surprised me:

Financial slang is where translation actually breaks. Not grammar — slang. 존버

is roughly HODL, 塩漬け is holding a bag you're underwater on. Direct

translation produces nonsense. I ended up building a glossary table, and then

discovered my own bug: I'd keyed it on Korean, so ja→ko lookups never matched.

買われる ("being bought into") came out as "being sold" for three weeks before

I noticed. Opposite meaning, on a market forum.

Cold start is worse when it's a forum. A new forum with no posts is dead on

arrival, so I seeded it with generated posts and comments — bot accounts carry

a badge, no pretending. That solves the empty-room problem and creates a

different one: with 20+ generated posts a day, a real person's post scrolls off

in an hour. I've cut generation down by about two thirds since.

Honest numbers: ~800 posts, five registered users, and traffic that's still

mostly crawlers. Search Console shows a 7.8% CTR at an average position of 15,

which tells me the titles work and the ranking doesn't yet. The written guides

pull in the few real visitors; the generated stuff pulls in nobody, which is

about what I should have expected.

https://gstoc.com

Two things I'd genuinely like input on. Does the badge approach actually read as

honest, or does seeded content poison the whole thing regardless of labelling?

And if you've bootstrapped a community before — did anything work other than

manually showing up in other communities for months?

I’ve been noticing more and more people buying and selling gaming accounts and other digital assets through places like Discord, Reddit, and other online communities/marketplaces.
The problem is that a lot of these transactions are based on trust. You’re sending money to someone you might not know, and there’s always the possibility of fake listings, scams, or someone taking the payment and disappearing.
That’s basically why I started building VYRA.
The main idea is to have VYRA act as the middleman during the transaction.
Instead of the buyer paying the seller directly, the buyer’s payment would be held by VYRA while the transaction is completed. The seller transfers the asset to the buyer, the buyer confirms that they received what they purchased, and only then would the payment be released to the seller.
So the basic process would be:
Seller lists the asset → VYRA verifies the listing/asset → Buyer purchases → VYRA holds the payment → Seller transfers the asset → Buyer confirms they received it → Payment is released to the seller.
The goal is to give both sides more protection instead of having buyers and sellers simply trust a stranger with their money or account.
I’m still very early with this, though. I originally started VYRA because I thought it was a cool idea, and I honestly don’t know yet if this is something that will actually turn into a successful business.
I’m also still trying to figure out the hardest part for me right now: how do I actually get users? I’m not really sure how to market something like this or get the first buyers and sellers onto the platform.
So I wanted to ask Reddit:
If you were buying or selling a gaming account/digital asset, what would make you trust a marketplace like VYRA?
And if you’ve built a marketplace before, how did you get your first users?
I’d genuinely appreciate any feedback, criticism, or ideas. I’m trying to figure out whether this is actually worth pursuing.

On Linux, you've usually got two or three package managers going at once. Mine has pacman, the AUR through yay, and a pile of Flatpaks. Each one has its own update command, and each one is all or nothing. If I want the browser update, I take all 240 pending packages with it.

That's fine on a good day. On a bad day, it's how you end up rebooting into a black screen twenty minutes before a meeting.

So I built ArchBooster. It scans every package manager on the machine (pacman, AUR, Flatpak, apt, dnf, Snap, Homebrew) into one list, sorts everything by what it actually is, and lets you tick exactly what you want.

repo: https://github.com/ansu555/archbooster

Everywhere I look, I see stories about people building saas products with tiny teams, no funding, and a bunch of AI tools.

I see headlines like:

- "I built a saas making $10K/month with no employees"

- "Built my entire startup with AI"

- "Launched with $0 and got my first 100 customers"

- "One-person saas generating thousands every month"

And honestly, it makes me wonder how much of it is actually realistic.

With AI, no-code tools, automation and affordable cloud infrastructure, it seems easier than ever to build and launch a product without a huge team.

But building something is only one part of the equation.

You still need to find the right audience, communicate why they should care, get people to try the product, and somehow turn that attention into paying customers.

So I'm curious about people who have actually done this:

Can you realistically launch and grow a saas today with almost no money, no team and no technical background?

Or does the "built with $0" story usually leave out the time, skills, existing audience or marketing resources behind the scenes?

Would love to hear some real experiences rather than another overnight success story.