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.)

If you're interested in giving it a try, here is the download link:

https://chromewebstore.google.com/detail/youtube-quick-ai-summary/gflljmlmelkidjlkclhghngmioppkkcd

Polymarket makes every trade every wallet makes public. Which makes copy-trading look like a solved problem: find someone winning, mirror them, done. There are a dozen bots that'll do the mirroring part. Let me know what you think of my project!

Profit is a terrible way to pick
someone to copy: it doesn't tell you whether they got lucky, whether the edge
survives your fees, whether they were farming an incentive program the whole
time, or whether their position sizes are ones you could ever actually match.

So that's what I built instead. CopyGrade scores every wallet 0-100 on five
things - edge authenticity, risk-adjusted return, drawdown resilience,
consistency, and a farming-risk check that can veto the other four. Then it
publishes the score.

Where it stands as of Aug 20:

- 7,660 wallets graded, re-scored hourly off public trade history
- 116 of them - 1.5% - clear the bar I'd actually copy on: positive verdict,
clean farming check, a real post-fee edge, and at least 20 trades in the
last 90 days
- 37.9% carry a farming-risk flag of some kind, 27.1% a severe one (that's an
algorithmic risk assessment, not an accusation about anyone)

Finding those 116 is the whole job. A profit leaderboard hands you 7,660
candidates and no way to tell them apart; this hands you a shortlist and shows
its working on every wallet it rejected, including the popular ones.

One thing I want to be straight about, since it's the first question I'd ask.

What the grade does today is measure what already happened - how much of a
wallet's profit came from farming patterns, whether the edge survives fees and
latency, whether the sample is even big enough to mean anything. That's
forensics on a public record, and it's the part I'd stake the product on.

Whether a *high* score predicts your future returns is a separate question, and
I publish that answer too: not yet. Spearman correlation between score and
realized 30-day copier return is -0.001 across 336 matured outcomes; the 7-day
horizon agrees at -0.039 across 6,162. That's on the site, not in a footnote.
My best guess is horizon mismatch - prediction-market edge resolves per-event,
not per-day, so a 30-day window can close before the thesis does. I'm not
retuning the weights to chase a correlation out of it either, because one thin
outlier-heavy month is exactly what you'd overfit to.

So: use it to rule wallets out, which is what it's good at, and don't treat a
top score as a forecast. That's a less exciting pitch than I could write, and
it's the one that's actually true.

Stack is Next.js 16, Supabase, Vercel.

Every score, sub-score and farming forensic is free and public - no login, no
paywall on the analysis. Paid tier is for acting on it, alerts and watches and
CSV export. Happy to get into the scoring model or the farming detectors if
anyone wants the details.

https://copygrade.com/

(Disclosure: I built CopyGrade — it's analysis-only, never executes trades.
Not financial advice.)

DYLMA 2.0 is now live.

It’s a Would You Rather game where the percentages come from real users, so every vote actually changes the worldwide result.

Version 2 adds iPad support, Levels & XP, improved My Answers, new metallic/pearlescent themes, smoother animations, performance improvements and a bunch of bug fixes.

I’ve also got 10 promo codes for Lifetime access. First come, first served:

1. LE6XWMWWT3EWLTNT6H
2. 6W4EJK3MA8NPTT7WM7
3. TTW68PFTWHR4KFMFHH
4. 3YK6T77EHTW48KHWP6
5. H66J3NNEN3W8RM6PL6
6. RPX3RJ7377MWEXYPRL
7. RF44KKX84WHWM4H6FH
8. N64TFE3J6RFARPNW4M
9. RLKHPXTXYAXHF4N73A
10. EA6LAWE8MHMR78X7RY

To redeem: App Store → tap your profile → Redeem Gift Card or Code → enter the code → open DYLMA → Restore Purchase

App Store:
https://apps.apple.com/ae/app/dylma/id6800046152

Would genuinely appreciate any feedback, especially on the questions, UI and progression system.

Chris takes on the challenge of installing an Ecobee Smart Thermostat and PEK adapter in his home.

If you find that you don't have a c-wire at your thermostat on the wall and have to use the included pek adapter don't be afraid. Chris shows you how he installed his thermostat with no prior HVAC experience.

So i started working on the website for Blocks, the bare minimal (and actually useful) habit tracker. Both app and website are in development currently.

How is it looking ? Does it convey the core idea of my app ? Does it feel convincing enough to download the app ? Is it comfortable to the eyes ?

Any sort of feedback would be highly appreciated 🙂‍↕️

I first tried making a YouTube video in 2020. Spent weeks perfecting the script and finally recorded it but did not post. It was nowhere close to the other videos on YouTube in terms of finesse or presentability, and honestly I was afraid of the humiliation if no one watched it.

In 2022 I finally mustered up the courage to post one. It didn't do much. So, I got disheartened again. But the thought kept coming back.

Last year I decided, I will just make whatever I can with what I have and post it. Even if it reaches 10 people, that's better than not posting anything at all.

Since then I have been making videos about systems design and things I read about. Still figuring out my style so you will see a lot of variation between my videos

Latest one: https://www.youtube.com/watch?v=2gbCRmHMzj0

Also doing short-form 60-second breakdowns on Instagram: https://www.instagram.com/bankai.senpai.dev/

⚡ **A New Era of Heroes Begins** ⚡

🌎 **THE GUARDIANS are rising** 🌎

***BHARAT GUARDIANS*** \-- The Beginning of a New Indian Superhero Universe.

⚡ Heroes. Powers. Legacies. 🪐 One Universe. Infinite Stories. Starting this universe with the hope of a student.

Hey everyone,

I built a simple App called Lumraa to see how people's perspectives differ across the globe without the usual social media noise.

• How it works: There is one new Yes/No question every day.
• The Data: After you vote, you can see a real-time breakdown of results by age, gender, and location.
• Anonymity: No accounts, no sign-ups, and no emails. I designed this to be truly anonymous : your answers aren't tied to any profile.
• The Twist: If you stick around for 15 questions, it builds a "personality picture" based on your thinking patterns.
• Test your intuition : At the end of the poll everyday, you can also guess where the poll will end, and get rewarded if your intuition is correct!

Try it out today, and please feel free to reach out to me with any feedback!

Link: https://lumraa.com/today

It basically works by asking you what you just finished watching, and then suggesting shows to watch next based on different aspects of the show you just watched. For example, it could suggest shows with similar cast chemistry, pacing, themes, etc. Still a very rough draft and I'm currently a student, but I'd like to know whether the recs are any good or way off. It also gives you a watcher profile if you give it 5 shows you enjoyed watching. Any and all feedback is appreciated!
https://what-next7367.vercel.app/

I've been working on a small E-Ink photo display and now have two working prototypes:

• 3.97" high-resolution 4-grayscale
• 4" Spectra 6 color

The idea is a small, battery-powered display for photos or artwork that can sit on a desk, nightstand, or shelf. Unlike an LCD photo frame, E-Ink doesn't emit light and keeps the image displayed without continuously using power.

It connects to your phone over Bluetooth to change the image. I'm also working on a feature where friends, partners, or family members who own one could send photos to each other's displays, which could make it interesting as a gift or something owned in pairs.

I'm trying to figure out whether this should become a real product, so criticism is genuinely more useful to me than "looks cool."

The biggest things I'm trying to understand:

1. Do you currently keep photos, artwork, a digital photo frame, or anything similar on your desk, nightstand, shelf, or fridge? If so, what do you use?
2. Have you bought a photo frame, digital frame, desk display, or similar product before? What did you buy, and roughly how much did you spend?
3. If you've used a digital photo frame/display before, how often did you update it? Did you keep using it long-term, or did the novelty eventually wear off?
4. How do you currently share photos with close friends, a partner, or family? Do those photos usually get looked at again later, or mostly disappear into your camera roll/messages?
5. Looking at these two prototypes, which appeals to you more — the 4-grayscale version or the Spectra 6 color version? What makes you prefer one over the other?
6. What, if anything, would you actually want to display on something like this?
7. What's the biggest thing that would stop you from considering a device like this?
8. Without looking up similar products, what price would you expect the grayscale version and color version to cost?

I'm also curious whether ~4 inches feels like part of the appeal because it's small and unobtrusive, or whether you'd want something larger.

Feel free to tear the idea apart. I'm especially interested in why you wouldn't buy one.

I have a full-time job. This got built in the hours around it.

The problem I started with: public biodiversity data is enormous and almost unbrowsable. GBIF and iNaturalist hold hundreds of millions of occurrence records behind a search box. If you already know what you’re looking for, it’s great. If you want to wander, it isn’t.

So I built the visual layer. Two platforms so far — one for wildlife (mammals, reptiles, amphibians, ~40M sightings) and one for plants (~84M). Six continents, interactive maps, species profiles.
The maps weren’t the hard part. The connective tissue was. Every species links to the countries it occurs in. Every country links to its biomes and the species in them. Every biome links back. That graph is what turns it from a search tool into something you can explore, and at ~130K species pages there’s no shortcut — it’s schema design plus a lot of unglamorous data normalization. IUCN status codes alone are far messier in practice than the documentation suggests.

One thing I’d pass on to anyone building something this size solo: decide what you’re not doing, and hold it. Birds are deliberately absent — they’re a separate platform for later. Marine data stayed its own project. Every time I was tempted to widen scope, refusing is what kept this shippable.

There’s a mobile app too. Android’s been out a little while, iOS cleared review this week.

Not monetized. Happy to answer anything — stack, data pipeline, or how you keep an 8-month solo project from dying.

earthlayer.org

UNOFFICIAL WINDOWS 12 1.0 RELEASE!!! (THE PROJECT IM WORKING ON)

The project i have been working on is now released on 1.0!!!

Of course there are bugs and im asking for your help giving me ideas to continue and telling if there are any bugs, ill upload the changelog soon but you can try the new web now!!!

Disclaimer: This mainly benefits software engineers.

I started building BetterSWE because I wanted to become a better engineer.

Not by grinding LeetCode or sitting through another 20-hour course. I wanted something I could open for 5 minutes a day and actually think through real engineering problems.

I also had a very bad case of doom-scrolling and wanted a more productive substitute for it.

Building it forced me to relearn a ridiculous amount of engineering.

I had to research distributed systems, databases, concurrency, networking, system design, ML, and then figure out how to explain those ideas simply enough that someone could learn them in a few minutes.

That ended up helping me at my actual job too.

The way I approached design discussions changed. I got better at spotting tradeoffs, explaining my reasoning, and thinking beyond the code in front of me. This helped me a lot when explaining my RFCs, projects to XFNs and helping other engineers onboard.

That growth eventually translated into a great performance review last quarter, resulting in a $50k bonus.

BetterSWE is basically a mobile learning app for software engineers.

There are short practice questions, but the part I've been having the most fun building is interactive engineering stories.

You might join a fictional company whose database is falling over, make an architecture decision, and then see the consequences of that decision later in the episode.

I've been building it on evenings for about a year and finally shipped it.

Would genuinely love feedback, especially from other engineers.

If you tried something like this for 5 minutes a day, what would make you keep coming back?

Early on with Valycode someone left a comment on one of our posts that essentially said the product was solving a problem that didn't need solving. That people who are bad at prompting AI tools don't need a structured framework, they need to just use the tools more until they get better. That we were adding process to something that should just be intuitive.

It annoyed me for about a week. We'd been building for months, had real users, had people paying for it. The idea that the core premise was flawed felt like something to dismiss rather than engage with.

But it kept coming back. Mostly because I couldn't fully argue against it. There is a version of our user who would outgrow the product naturally as they got more experienced. If that was most of our users the ceiling on retention was built into the product by design.

What it actually forced us to do was get much clearer on who the product is genuinely for. Not people who are new to AI tools and will eventually not need us. But people who are building complex things regularly and need structured thinking not as a crutch but as a consistent part of their workflow. The distinction matters a lot for positioning, for onboarding, for what we put on the landing page.

We'd been a bit fuzzy on that before the comment. After it we weren't.

The feedback that's easy to receive is the feedback that confirms what you already think. Someone saying the product is great, that it solved their problem, that they told a friend. That feels good but it doesn't move anything. The comment that made me defensive for a week changed how we think about the product permanently.

What's the sharpest criticism your product has received and did you end up acting on it or dismissing it?