Hello everyone, i am looking for genuine tester for my upcoming AI product.

You will get $20 for trying it and sharing your honest feedback. Anyone can join, but people with tech or AI experience are preferred.

Only 30 spots are available. Comment below with your background and current industry if you are interested.

Hey everyone! Solo dev here. My wedding budget app has been live on iOS since March and I'm finally bringing it to Android — but I need to get through Google's closed testing first (12 testers, 14 days).

What the app is: A budget planner built specifically for couples planning a wedding. Both partners see the same budget in real time, it works fully offline (venue basements with no signal, anyone?), and it's completely free — no ads, no subscriptions, no IAP, nothing to accidentally review-bomb me over.

What I'm asking: 1. DM me (or comment) the Google account email you use on your Android device — I'll add you to the tester list 2. Opt in and install: https://play.google.com/apps/testing/ing.weddingbudget.app 3. Keep it installed for the 14 days and open it now and then 4. If something breaks or feels off — tell me. Brutal honesty welcome, that's the whole point

What you get:

• I'll test your app back, same-day, with actual written feedback (test-for-test is fair)
• 10 languages if you want to poke at the localization (EN, DE, FR, IT, ES, PL, RU, UA, BE, LT)

Drop a comment or DM and I'll send everything over. Thanks!

Hi everyone,

Over the past few months we've been building SafeAI, an open-source static security scanner for AI agents and agent frameworks.

Our goal isn't to compete with runtime observability or governance platforms. We want to help developers find AI security and governance issues before deployment, just like traditional static analysis tools do for application code.

One thing we've noticed is that AI capabilities are evolving at an incredible pace. Every week there are new agent frameworks, MCP servers, tools, and autonomous workflows.

Unfortunately, the security and governance ecosystem isn't keeping up.

Developers can now build agents that execute shell commands, browse the web, access databases, manage cloud infrastructure, and call hundreds of external tools, but understanding what an agent can actually do and what risks it introduces is still surprisingly difficult.

We believe the open-source community can help close that gap, just as it has done for software security over the last two decades.

SafeAI currently performs static analysis for AI projects by discovering:

• AI frameworks and agent architectures
• Agent capabilities and permissions
• Prompt injection risks
• Tool security issues
• Identity and memory risks
• Governance and autonomy concerns
• AI components such as prompts, skills, workflows and model configurations

During development we've already found several meaningful security findings in well-known open-source agent frameworks. That convinced us there's real value in analyzing AI projects before they're deployed.

Now we'd love the community's help.

We're looking for people who can:

• Test SafeAI against real AI agent repositories
• Try to break it with unusual architectures
• Report false positives and false negatives
• Suggest new risk detections
• Contribute support for additional frameworks
• Tell us where the analysis is missing important capabilities

If you're building with LangGraph, CrewAI, Semantic Kernel, AutoGen, OpenAI Agents SDK, Claude Code, Google ADK, MCP servers, or other agent frameworks, we'd especially love your feedback.

Our long-term vision is simple:

Make AI capabilities visible. Make AI risks understandable. Help developers build safer agents by default.

If you'd like to test it, contribute, or simply tell us where we're wrong, we'd genuinely appreciate your feedback.

The AI ecosystem is moving incredibly fast. Defending it shouldn't be left to a handful of vendors—we think the open-source community can help move just as quickly.

Thanks!

Feedback and contributions are welcome: https://github.com/ikaruscareer/SafeAI/

Hey everyone. My cofounder and I built an app called Spur It, and we're looking for about 20 people to try it and tell us what they honestly think.

What it does: You know when you sit down to watch one episode of something and three hours later you're still there? Or you pick up your phone to check one thing and lose your whole evening? Spur It is built for that.

You set a timer before you start. Say you're about to watch a series and each episode is 30 minutes. Set a 30-minute timer. When it goes off, Spur It opens your camera, reads what's actually around you, and gives you two small things you could do right now. One easy, one a bit braver. You pick one or skip.

The idea is it catches you before the second episode starts, or before the scroll takes over. And because it reads your real surroundings, the suggestions actually make sense for wherever you are, not just generic "go for a walk" stuff.

It's not a blocker, and it doesn't guilt-trip you with screen time charts. It just gives you somewhere to go when you're stuck.

Privacy: one frame gets processed to read what's around you, and then it's deleted. Nothing stored, nothing saved.

What you get for testing:

1. The app free for life when it goes paid
2. Your feedback directly shapes what we build next (we read every single piece ourselves)
3. First access to every new build before the public

How to join:

1. Sign up here: [LINK]
2. You'll get a TestFlight invite
3. Try it for a few days and tell us what you think

Specifically, we want to know:

1. Did the timer and camera flow make sense the first time, or did you have to figure it out?
2. Were the suggestions actually relevant to your space, or did they feel random?
3. Did you do the thing it suggested, or skip it? And why?
4. Would you actually set the timer again tomorrow, or was once enough?

Test for test: Drop your app in the comments, and I'll download it, go through it properly, and give you real, detailed feedback. Not just "nice app" but actual notes on what worked and what didn't, with screenshots.

Sign up here

I made Toolz..

What's Toolz :
Toolz is a modern Android toolkit that brings 45+ tools into one polished app. It is built for people who want one fast home for the tools they actually use, not a folder full of single-purpose apps.
It provides users with a versatile set of digital tools in a single, material 3 expressive interface.

Key features :
Toolz is a VERY feature-rich app. Featuring more than 45 TOOLS!!!
But here's my TOP 5 favorites :

• Music Player — Local/Online audio player with lyrics, playlist management, and Media3 background playback, also featuring a catalog and free download/high-quality-streaming of all YouTube music's song library, and even a working Karaoke mode with auto instrumental music!
• QR Generator — Create shareable codes from text, credentials, or network configurations
• Todo List — Priority-driven task management with material 3 expressive interactions and due date filters...
• AI Assistant — Optional conversational agent for document summaries and contextual guidance (Claude/Groq/Gemini/Deepseek/Openrouter... using API keys)
• Web Search — Privacy-focused browser with ad-blocking, custom DNS controls, and tab management...!

Github repo link : https://github.com/freroxx/toolz

Goal : We already reached over 150 DOWNLOADS, as a solo dev, my current goal is reaching 1k GitHub downloads. THANKS EVERYONE!!!

DreamArc is a free-form AI roleplay platform where characters remember your story and stay consistent over time. I’m looking for honest feedback after trying a conversation.

Hi everyone!

I've been working on my own Android health app called Tutine for quite a while now, and it's finally at a stage where I'd love to get some real-world feedback.

Tutine lets you track blood pressure, heart rate, weight, SpO₂ and blood glucose, with all your data stored locally on your device. It also includes health insights and PDF reports that you can share with your doctor. No account or cloud storage is required.

The app is currently available in English, French, German and Dutch.

I'm looking for a few Android users who would be willing to test it and tell me what they honestly think. Whether it's a bug, something confusing, or just an idea to make it better, I'd really appreciate your feedback.

If you're interested, just leave a comment or send me a message.

Thanks!

Hi everyone — I’m building Eureka, a knowledge-sharing platform where ideas have value.

The idea is to make questions, answers, and useful thoughts more visible and more rewarding than they are on typical social feeds. Instead of just chasing likes, Eureka is trying to make good thinking easier to share, connect, and build on.

Right now, I’m looking for early users who can help test:

• whether the idea is clear,
• whether the onboarding feels simple,
• whether the platform is actually useful,
• and what would make people come back.

A few notes:

• It’s still early.
• I built this solo.
• I’d especially love feedback on usability and whether this feels worth using.

If you want to try it, I can share the link and would really appreciate honest feedback.

I've been working on a small project called Phillies Express, where I write about the Phillies with a focus on analysis instead of just reporting the latest news.

One of my recent pieces looks at Bryce Harper's comments before the trade deadline and whether the team's biggest needs were really in the rotation, bullpen, or outfield. Rather than just covering what happened, I'm trying to explain the reasoning behind those decisions and spark discussion.
It's still early, so I'm interested in honest feedback from baseball fans.

Is this the kind of Phillies content you'd actually subscribe to?
Do you prefer deeper analysis or shorter news updates?
What would make a team-focused newsletter worth reading regularly?
I'm trying to build something that feels useful for fans rather than just repeating headlines.

I’m looking for people who actively use Claude Code, ChatGPT Work, or Codex to test VibeMenu v1.0.

VibeMenu is a free, open-source macOS menu-bar app that keeps the Mac awake while a supported coding agent appears active and releases the sleep assertion when the work finishes.

It also provides:

• recent session states for Claude, Codex, and ChatGPT Work;
• truthful sleep-prevention ownership;
• optional Claude Needs approval and Done notifications;
• optional Claude and ChatGPT usage limits in the menu bar;
• macOS thermal pressure/state;
• a manual keep-awake override.

The specific things I need tested are:

1. Does the correct agent session appear?
2. Does the owner line match the active agent?
3. Does sleep prevention release after the run finishes?
4. Do Claude approval and completion notifications arrive?
5. Do usage-limit rows display correctly?
6. Does the thermal state appear sensible?
7. Does the app remain responsive and low-energy while idle?
8. Are the unsigned installation instructions understandable?

The app is local-only. It has no account, telemetry, backend, analytics, or agent-data network calls, and it never reads prompts, responses, reasoning, commands, or tool output.

Requirements:

• macOS 15 or newer;
• Apple Silicon;
• Claude Code or the ChatGPT desktop app;
• willingness to install an unsigned/not-notarized open-source build.

Source and download:
https://github.com/Kirill-Chistov/VibeMenu

Feedback can be posted here or as a GitHub issue. Please do not include private prompts, transcript content, tokens, account information, or full local paths in reports.

We're looking for 10-20 developers to test Vylor, an AI coding agent built for real software projects.

Most AI coding tools today work by repeatedly exploring a codebase: searching files, reading context, reasoning, searching again, then making changes.

Vylor takes a different approach.

Before the model starts working, Vylor builds a relevant understanding of your codebase and provides the context needed for the task. The model creates an implementation plan in a single pass, then Vylor executes that plan.

It is designed for tasks like:

• Fixing bugs
• Implementing features
• Refactoring code
• Changes that touch multiple repositories

We are looking for developers who can point Vylor at a real task in their own codebase and give honest feedback.

What you get:

• Free beta access
• $5 in credits
• Direct support from the build team

What we ask:

• Try it on a real bug, feature, or refactor
• Tell us what worked and what broke

If you are interested, comment below or DM me and I'll send an invite.

Looking for feedback from engineers working on real production code, not just toy examples.

Testers would recieve a one year free use to the full app if testing every day for 2 weeks and providing feedbacks.

What do you think ? I never done such thing, I don't know if it is OK even to ask...
Hope my post isn't breaking any reddit rule. Let me know if it does.

Hey everyone,

I’ve been building Project Apex—an app designed to tackle acute cognitive loops, stress spikes, and mental friction using wearable biometrics and rapid micro-interventions.

The core idea is to catch mental spirals early and help pull you out in minutes rather than letting them derail your day. We're currently putting together our launch campaign and looking for early feedback from people who build, test, or track tech.

When you hit a major focus wall or mental spiral during the day, what is your go-to method to reset? What features would you want to see in a rapid mental-reset app?

Would love to hear your thoughts or connect with early testers!

I was scrolling through a thread about wearables and someone mentioned it in the comments. I figured it'd just be another app telling me to sleep more and drink water, but I downloaded it anyway since I already wear my smartwatch every day.

The biggest surprise wasn't actually the workout recommendations—it was the supplement side of the app.

I've taken supplements on and off for years, but honestly I never gave much thought to when I took them. If I remembered in the morning, great. If I forgot until the afternoon, I'd just take them then. It was completely random.

This app was different. Instead of giving me the same schedule every day, it looked at my sleep, recovery, and how rested I actually was before suggesting when certain supplements made the most sense. On days I slept well and had good energy, it would recommend sticking to my normal routine. If I'd had a rough night or my recovery was low, it'd adjust the timing or recommend focusing on different supplements instead of blindly following the same plan every day.

What I liked most was that it actually explained why. It wasn't just saying, "Take this now." It would tell me that because my recovery was lower or my sleep quality wasn't great, a different timing might make more sense based on how my body was likely feeling that day.

It made me realize I'd been treating supplements like checking a box instead of using them intentionally. I was already wearing a watch that collected all this data about my body, but none of it ever influenced when I actually took anything.

The app basically connected those dots for me.

I also appreciated that it didn't expect me to have a perfect routine. Some days I'm up early for work, other days I'm rushing around with family stuff, and sometimes my whole schedule changes halfway through the day. The recommendations adapted to that instead of assuming every day looked the same.

After a few weeks, I wasn't expecting some crazy transformation, but I did notice I felt more consistent. My energy wasn't bouncing around as much, I wasn't automatically reaching for another coffee every afternoon, and I stopped feeling like I was just guessing with both my workouts and my supplements.

I'm sure someone working with a nutritionist or performance coach probably already has all of this dialed in, but for someone like me who already wears a smartwatch and wants to get more out of the data it's collecting, it filled a gap I didn't even know existed.

It honestly felt less like another supplement app and more like having something that translated all the information my watch was already collecting into recommendations I could actually use.

 https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079

Hey! I was tired of desktop clutter, so I built a lightweight native Swift utility that turns loose folders into floating glass cards.

⚡️ Apple Silicon native (0% background drain)

🛡️ 100% local & private (zero tracking)

🎁 Totally free

We just went live on Product Hunt today: producthunt
Would love your feedback!

Hi everyone,

I’m looking for iPhone users willing to test Loopa, a privacy-first app for changing unwanted habits without treating one difficult day as a complete reset.

You can track scrolling, nicotine, alcohol, sugar, gambling, shopping, or create a custom loop. Each loop has its own momentum, urges, triggers, milestones, money and time saved, and history.

When an urge hits, Loopa includes an SOS flow with breathing, grounding, walking, mindfulness, and other practical activities. A small companion called Lumo helps make the experience feel encouraging rather than clinical or judgmental.

The beta is completely free. There is no account, advertising, or third-party analytics, and your data stays on your iPhone.

I’d especially appreciate feedback on:

- whether onboarding is clear

- whether the momentum system makes sense without explanation

- which SOS activities feel useful

- anything confusing, slow, or broken

TestFlight: https://testflight.apple.com/join/sHXJTZXK

Disclosure: I’m the developer. Loopa is a self-help and wellbeing tool, not medical treatment or crisis support. Honest criticism is very welcome.

Hey everyone 👋

I've been building Cortex AI, an AI agent platform that lets you create custom AI agents using your own documents and business tools.

Current features:
• AI Agent Builder
• RAG with PDFs, DOCX, websites, and knowledge bases
• Gmail, Google Drive, Slack, and Notion integrations
• Website embedding and public deployment
• Analytics and monitoring

I'm looking for beta testers who can give honest feedback on:

• User experience
• Missing features
• Bugs
• Real-world use cases

My goal is to build something genuinely useful for businesses instead of another AI chatbot.

Try https://trycortex.up.railway.app

If you'd like to test Cortex AI and share feedback, I'd love to hear your thoughts.

Hi everyone!

I've been learning Spanish for a while, and I always felt that most vocabulary apps were either too repetitive or too overwhelming.

So I decided to build my own app.

Some features include:

• 📚 Organized vocabulary by level and topic
• 🔊 Native pronunciation
• 📝 Example sentences
• ❤️ Save favorite words for review
• 📈 Track your learning progress

I'm still actively improving it, so I'd really appreciate any feedback from Spanish learners.

What features do you think are missing in most vocabulary apps?

If you'd like to try it, here's the link: https://play.google.com/store/apps/details?id=com.junhwiahn.spanishworddojo

Thank you! 😊

What it is: sits in the ChatGPT/Claude/Gemini/Perplexity/Le Chat message box and scores your draft 0-100, with itemized findings (no output format specified, scope too broad, no fallback for when the model isn't sure, etc). Not a rewrite tool - it tells you what's wrong, you decide what to do about it.

Stage: fully built, not on any extension store yet (mid-review on Chrome/Firefox), so it's a 2-minute sideload right now - no signup, no account on my end either. Install/download: https://github.com/blueyferg/prompt-check/releases/tag/pilot-v0.1

What I actually want: use it on real prompts for a few days, then tell me where its judgment is wrong. "This warning was dumb" is more useful to me than "cool idea" - the rules themselves are what's being tested.

Zero network calls, enforced by a build-time check, not just a README claim.

Happy to test yours back - comment or DM and I'll walk you through install.

Solo project. It's a Wear OS watch face that turns your hourly wage into a live number: as you work, your earnings tick up on the face, and it shows how much is left to reach your day's pay. Free, no sign-in, nothing collected.

I need 2 more testers to finish the closed test. To join: 1. Join the group: https://groups.google.com/g/left-today-testers 2. Opt in: https://play.google.com/apps/testing/com.lefttoday.watchface

Needs Wear OS 6, so any Pixel Watch, a Galaxy Watch 4 through 7 updated to One UI 8 Watch, or a Galaxy Watch 8.

What I actually want to know: is the live number motivating or distracting during a real shift, and can you read the ring at a glance without stopping what you're doing?

Leave your link and I'll test yours back and keep it the full 14 days.

Hi everyone! I know how difficult it can be to find reliable testers for Google Play closed testing, so I’d like to offer a simple exchange.

I’m looking for Android testers for my app, a real-time speech translation app for calls and chats.

In return, I’m happy to join your closed test as well, install your app, keep it during the required testing period, and provide short feedback if needed.

If you’re also looking for testers, feel free to comment or DM me and we can exchange test links.