r/alphaandbetausers

Airlines screen cadet pilots with a battery that is public in structure but rarely discussed outside aviation forums (COMPASS, cut-e, ADAPT, the DLR test in Germany). It is not an IQ test and the gap is interesting.

What it measures: working memory under load, timed arithmetic, spatial orientation and mental rotation, and divided attention, meaning a tracking task running while you answer maths and watch for gauge alarms at the same time.

What it ignores: verbal knowledge, culture, anything untimed. Almost every subtest is speeded, and the cut score is normed against the applicant pool, not the general population.

The part with no equivalent in the usual batteries is the multitasking one. Matrices tests never ask you to hold a target on screen while doing arithmetic. People who score very high on matrices often collapse there, which makes it a decent probe of something the standard tests miss.

Disclosure so nobody wastes time: I built a free iOS app that rebuilds these mechanics, so I am not neutral. I am mostly curious how this sub scores on the multitasking one compared to cadet applicants, and where you think it breaks as a measure.

https://apps.apple.com/app/id6794363864

Hi everyone,

I’m looking for a few macOS users to test Tapquence, a visual mouse and keyboard automation app I’ve been building.

I started it because many macro tools work, but feel dated or unnecessarily difficult to use. Tapquence lets you build sequences with mouse movement, clicks, key inputs and fixed or random waits. It also has grouping, hiding actions while testing, templates and a separate Auto Clicker.

The public beta is free. The app is signed and notarized by Apple, and macro content stays locally on your Mac.

I’d especially value feedback on:

• installation and first launch

• creating your first useful macro

• anything confusing in the interface

• bugs or unexpected behavior

Demo video: https://www.reddit.com/r/betatests/comments/1vixphg/macos_i_built_a_cleaner_mouse_and_keyboard/

Download: https://tapquence.com

Honest criticism is exactly what I’m looking for. Thanks!

Full disclosure: I built this, solo. I'm a software engineer in Paris and this is my side project.

The idea came from my own frustration with dating apps: endless swiping on faces, dead-end chats, no one ever actually meeting. So I flipped it. On Hayia there's no swiping on people at all. One person posts a real plan, a coffee, a walk, a play, a museum, and anyone interested asks to come along. The person who posted chooses who joins, and then you actually meet.

A few decisions I'd like feedback on:

The activity comes first, the person is discovered through the plan. No profiles-first browsing.

No one can message you first. You always open the door.

No likes, no match scores, no popularity ranking. Success is a plan that happens in the real world, not time spent in the app.

It's live on Google Play (Android only for now, iOS is next). It's genuinely new, so I'm looking for people who'll tell me what's broken or confusing. Of course, I still don't have many users.

https://play.google.com/store/apps/details?id=app.hayia.mobile&pcampaignid=web_share

Happy to return feedback on your projects too. What would make you distrust an app like this?

i need people to actually use this and tell me where it gets confusing or boring

ReadnType is basically a reading + typing gym

there are normal typing tests, rsvp reading, read + type modes, books/pdfs, comprehension quizzes, vocab, daily reading challenges, typing duels, leaderboards and a bunch more

with random word rsvp you get a recall test after

with real text you can test comprehension and get an effective reading score based on speed + comprehension

the daily challenge gives everyone the same passage and same questions and you need at least 80% comprehension to qualify for the leaderboard

main things i wanna know are whether the modes make sense, whether rsvp feels good and where you feel like closing the tab

https://readntype.me

dont need nice feedback, if something sucks just tell me

Hi! I’m Yves, the solo developer behind Dryv.

Most navigation apps optimise for arriving as quickly as possible. But sometimes I have time, and I wanted something that gives me the scenic route, so I built Dryv for these occasions where the route is as important as the destination.

It compares the fastest route with alternatives designed to be more enjoyable to drive, then explains what each alternative offers and what the detour costs.

I’m not looking for generic “looks good” feedback. The most useful test is very specific:

• Choose a journey or loop on roads you already know
• Compare the proposed routes
• Rate whether each route option feels good or bad (there's a reason picker for bad)
  • I'm interested in what you think about the quality of the generated explanations too and if you find that some kinds of places are missed.
• If possible, start navigation and drive one of them (I use it as my standard GPS app now, even for the fastest route, and it works very well)

If Dryv recommends a bad alternative, that is exactly what I want to hear. Was it boring, stressful, unnecessarily long, on the wrong kind of road, or simply not worth the extra time?

I initially tuned the routing around the Alps and Jura as that's around where I live. Now I need to learn whether those choices hold up on roads elsewhere, especially routes that local drivers already understand well.

Current beta limits

iPhone only, requiring iOS 26.1 or newer

• English only
• Route and map coverage across Europe, the United States and Japan
• Search does not yet support street numbers or businesses, so it's street names and city/town/village names for now
• Route planning and rerouting require an internet connection
• Navigation currently uses more battery than I think it should
• No live traffic

No account is required. You can rate routes directly in the comparison screen and add details when something is wrong.

TestFlight: https://testflight.apple.com/join/6YVUkE5E

I read the feedback personally and will answer questions here. Honest negative feedback is particularly useful.

I built Chronaya after realizing my subscription dates, receipts, warranties, and reminders were all stored in different places.

It keeps the deadline, reminders, notes, and attachments together. No account, no ads, and nothing is uploaded to the cloud.

The obvious question: does this solve a real problem, or would you still use Calendar and a folder?

Be honest. I can take it :)

Google Play - Chronaya

Solo dev, day job in software. WorkFlow started because I kept forgetting to track my own hours and every existing app annoyed me in a different way: cloud account here, subscription there, geofencing behind a paywall everywhere.

The design decision that shaped everything: no backend. Not as a privacy marketing line, but literally the app has no server side.

What it does today (just shipped v1.5): auto clock-in/out via geofencing at up to 5 workplaces, overtime balance, PDF/CSV export, backups you can share or save to the phone. German and English.

Some numbers people ask about: roughly 31k lines of hand-written code, a third of that tests - the suite runs on an Android emulator before every push, because with local-only data a data-loss bug would be unrecoverable. About 80% of the actual work was edge cases I never planned for: OEM battery killers, GPS drift at the geofence boundary (fixed with hysteresis - exit radius is 1.2x entry), double notifications from two detection layers racing each other.

The part I haven't cracked: distribution. The app sits at a handful of installs because Play Store search is brutal for new apps in a category owned by Toggl and Clockify. This post is part of me finally doing marketing instead of adding features.

Play Store: https://play.google.com/store/apps/details?id=com.timetracker.workflow

Ask me anything about the no-backend constraint, the geofencing stack (Flutter + native Kotlin), or what I would do differently.

I have been working on it for a few months. You give it your stock list i.e portfolio,with weights,Qty and ticker,It calculates your capital and based on that it assigns a model and gives you a smart portofolio,along with which a plain,understandable plan in simple English.

Also there's explore feature which allows users to search the stock they want and get an analysis,considering both mathematical logic and sentiment parameters of the market(any region).

This is the website link: https://q-netix.tech

Would love feedback on whether the model-assignment logic,portfolio optimisation and the sentiment read actually feel useful, or where they fall short.

DISCLAIMER:This is strictly not investment advice.it's an analysis layer, the decisions stay yours. Free tier covers the core flow.

I built tryproduck.com/audit, it walks your app like someone opening it for the first time and sends back every bug and confusing bit it hits. Over 650 startups have run it so far.

Solo dev here. I kept owning things and forgetting where I put them, so I built Store & Forget.

The whole point is zero effort to catalog: you don't type or tag anything. Snap a photo and it auto-fills what the item is (the photo scan uses a cloud AI service). Later you find it by searching names, descriptions, or which box or room it's in, or tap "Smart Find" to search by meaning.

Local-first: everything sits in an on-device database, no account, no sign-up. Optional backup to your own Google Drive.

It's free, Android only. Would love feedback from other builders.

https://play.google.com/store/apps/details?id=dev.koalalab.storeandforget

Posting this while it’s still small, because everything I read in this space is written after the fact by someone with a number to show off.

What it does: scans an area, scores every business on how likely they are to actually buy (review count, rating, whether they have a Facebook page or nothing at all), then generates a real one-page preview site for the ones worth pitching. The idea is that you send someone their site rather than asking whether they want one.

Where it actually is: two previews have ever been billed. No reviews, no case studies, no named customer. The lead scoring works and there’s a real scan behind it — 34 businesses in Dundee, 29 with no website — but I’m not going to pretend that’s traction.

The design decision I’d most like feedback on, because it’s the one costing me sales: it doesn’t send the emails. It drafts them and stops. There’s no send button anywhere in the product.

That’s deliberate. Under UK PECR the sender of a cold email is liable, and “my software sent it automatically” isn’t a defence. Products in this space that auto-send are handing that liability to their customer without saying so. Same reason it never uploads the business’s own photos to build the site — republishing someone’s photographs on a page you’re about to sell is a copyright problem you’d inherit.

Both refusals make it a harder sell than “fully automated, zero hours.” I still think they’re right. Open to being told I’m wrong.

The other constraint, which is the actual point of the thing: the generator can’t invent facts about a business. If it doesn’t know your opening hours, it flags a placeholder rather than making them up. Getting a model to consistently say “I don’t know” instead of writing something plausible was harder than the entire rest of the build.

There’s a free scan on the homepage if you want to see the finding half work on your own town — no account, no email. scoutline.uk

Genuinely more interested in whether the draft-only decision is defensible than in signups.

Comparing https://resume.zoevera.com against https://chatgpt.com

And what a purpose-built ATS checker caught that GPT-4 didn’t.

Let me be upfront: I use ChatGPT for everything. Code reviews, draft emails, explaining stack traces at 2am. It’s genuinely useful. So when I needed to tailor my resume for a senior backend role, my first instinct was to open a chat window.

That was three weeks ago. Here’s what I learned.

What ChatGPT actually does well

Ask ChatGPT to “improve my resume” and it will:

• Clean up passive voice (“responsible for” → “led”)
• Suggest stronger action verbs
• Add structure and formatting consistency
• Rewrite vague bullets into something that sounds more impressive

For general writing quality, it’s genuinely good. If your resume reads like it was written by someone who hasn’t slept in 48 hours, ChatGPT will fix that.

What ChatGPT fundamentally cannot do

Here’s the problem: ChatGPT doesn’t know what job you’re applying for.

You can paste the job description into the prompt, sure. But there’s no mechanism for it to:

1. Score your resume against that specific JD — it has no concept of a match percentage
2. Identify which keywords are present vs. missing — it will suggest improvements but won’t systematically audit keyword coverage
3. Know how Applicant Tracking Systems parse text — it will rewrite content without knowing whether an ATS will ever see it

ATS filters work on keyword frequency and placement. A resume that reads beautifully to a human can score 40% on an ATS if the right terms aren’t in the right sections. ChatGPT optimizes for human readers. ATS systems are not human readers.

I ran a test. Same resume, same job description (Backend Engineer, Node.js/AWS stack). I gave ChatGPT the full JD and asked it to optimize my resume for ATS.

The output was well-written. It added “microservices” and “REST APIs” in a few places. But it missed:

• “AWS Lambda” — mentioned 4 times in the JD, absent from my resume after the rewrite
• “CI/CD pipeline” — appeared in the required skills section, never added
• The Projects section — ChatGPT rewrote my experience bullets but left the Projects section untouched, which is where most of my relevant backend work lived

When I ran the same resume through resume.zoevera.com, it flagged all three gaps explicitly, with section-level attribution. The ATS match score went from 54% to 81% after applying the suggested changes.

The core difference: diagnostic vs. generative

ChatGPT is a generative tool. It produces new text. It’s very good at that.

An ATS checker is a diagnostic tool first. It measures the gap between your resume and a specific job description, then tells you exactly what’s missing. The rewrite comes second — and it’s grounded in what was actually identified as absent, not what the model thinks sounds better.

This distinction matters because:

ChatGPT hallucinates improvements. It will add metrics you never achieved (“improved system performance by 35%”), use terminology that
sounds right but wasn’t in the JD, and rewrite bullets that didn’t need rewriting while leaving critical gaps untouched. Every line needsfact-checking.

A purpose-built tool works from the actual gap. The keywords it adds are the ones the JD asked for. The sections it flags are the ones the ATS will score. The output is closer to submission-ready.

A practical workflow

These tools aren’t mutually exclusive. The best result I got came from using both in sequence:

1. ATS checker first: identify the keyword gaps and get a scored rewrite that closes them
2. ChatGPT second: use it to polish tone, tighten sentences, and clean up anything that sounds mechanical

The ATS checker handles precision. ChatGPT handles prose quality. Neither does both well alone.

The cost argument

ChatGPT Plus is $20/month. If you’re actively job searching, that’s a fixed overhead whether you use it or not.

Most people search for jobs in windows — a few weeks of active applications, then nothing for months. A per-session model makes more
sense: pay when you need it, nothing when you don’t. ZoeVera’s pricing works that way — free analysis, one-time payment for the full
rewrite, no subscription.

For a developer audience specifically: if you’re applying to 10–15 roles over two weeks, you’re not optimizing resumes 365 days a year. The math on a monthly subscription doesn’t work.

What I’d actually recommend

• If you just need better writing: ChatGPT is fine and you already have it
• If you’re applying to roles where ATS filtering is real (any company using Workday, Greenhouse, Lever, iCIMS): use a dedicated ATS checker first, then polish with ChatGPT
• If you’re a developer and haven’t thought about this: your resume probably uses technical jargon that means something to you and nothing to an ATS keyword parser. “Built scalable backend” is not the same as “developed microservices architecture using Node.js and AWS ambda” — even if the underlying work is identical

The ATS doesn’t know what you meant. It only knows what you wrote.

Tested against a real Backend Engineer job description. Tools used: ChatGPT GPT-4o, https://resume.zoevera.com. June 2026.

I’m an engineer turned product manager, and I’ve always loved two things a little more than necessary: education and games.

For a long time, I wanted to put those interests and the skills I’d picked up building technology, towards something useful for children. That became much more tangible once my niece reached the age where the iPad became a regular part of her world.

I’m not anti-iPad. Quite the opposite. It is an incredible piece of technology to put in the hands of a six-year-old. I just kept thinking it could ask more of her.

That thought took me back to Dora the Explorer.

Growing up, we’d watch Dora ask us a question and then stare silently at the screen for a painfully long time while we yelled the answer at the TV. Obviously, Dora couldn’t hear us. But the idea was clever. The screen was trying to turn us from viewers into participants.

Learning games like Lingokids and ABC Mouse took that much further and made screens genuinely interactive. But most of that interaction still happens within rails someone else designed. Tap here. Drag this. Choose A, B, or C. Collect the reward. Repeat.

That works brilliantly for games. But it doesn’t accommodate the wonderfully messy way a six-year-old wonders about things.

Ask my niece an interesting question and she might draw the answer. She might make up a ridiculous story. She might photograph something she noticed around the house, make a sound, explain an idea, or give you an answer you never anticipated.

I started wondering if I could build for that.

Could the iPad provide the spark and just enough structure to get a child started, while leaving the interesting part to them?

That question became Taroo.

The first versions were experiments around this idea. Then came the uncomfortable question every builder eventually has to answer: does this actually work for anyone other than me?

So I spent months talking to parents and educators. I sat through hours of enrichment classes at a school for gifted kids, which was basically the X-Mansion for 8-year-olds. I watched how teachers prompted children, when kids became absorbed in something, when they needed more structure, and when something I thought was clever bored them almost immediately. And very importantly, I saw how their eyes lit up when they screamed “look what I made” in class.

These insights shaped the Taroo we have today, and I’m genuinely proud of where we’ve reached.

Taroo is a world of short creative quests for kids 6 to 10. In Pass the Pen, a child might get the beginning of a strange story and decide where it goes next. Doodle Master might give them the start of a picture and ask them to turn it into anything they imagine. Rhythm Pad lets them experiment with sounds and put together their own little beat. Snap Trail might ask them to put the iPad down, hunt for something triangular in the real world, photograph it, and tell Taroo what they found.

Their creations stick around too, so over time Taroo becomes a little record of the things they have imagined and made. Parents get a window into that world without needing to hover over every activity.

Taroo is now live on iOS and Android.

There is still plenty I want to improve. But this no longer feels like the little experiment I started with. I’m proud to put it in front of parents, and particularly proud when I see a kid become attached to something they made themselves.

If you have a 6 to 10-year-old in your life, I’d love for you to try Taroo with them. More than anything, I’d love the unfiltered feedback: what they immediately understand, what they ignore, what they keep coming back to, where they get stuck, and what they wish they could do that I haven’t thought of yet.

I’ve spent enough time with Taroo that I’m no longer capable of seeing it like a new user.

So please, tear it apart.

Game Title: White Mask Mansion

Playable Link: https://store.steampowered.com/app/4490850/White_Mask_Mansion/

Platform: PC - Windows

Description: I was looking for a few people to playtest an early build of White Mask Mansion, a first-person stalker-horror game I’m developing but now the main playtesting phase is done. However, there are a few testers with the following configurations that i would welcome:

• GTX 960 4 GB
• GTX 1050 Ti 4 GB
• GTX 1060 6 GB
• GTX 1650 4 GB
• RX 580 8 GB
• low-end GTX 1650 / RTX 2050 laptop
• another AMD low-end configuration, ideally something like RX 570 / RX 5500 XT territory

The available keys are limited in number, so it is a first come first served kind of thing.

Free to Play Status:

• [ ] Demo/Key available

Involvement: I am the solo dev, Golden Fleece.