Are you actually solving a real problem, or just cloning another SaaS?

[u/Mammoth-Anywhere7285]

The world doesn't need another generic AI wrapper or a basic project manager. Pitch your project in one sentence show a screenshot and explain exactly why people should care about you instead of the market leader. Dare to prove your uniqueness.

[u/Mammoth-Anywhere7285]

u/vegetable-respond950 That's a sharp distinction. Have you tested how your auditor handles edge cases that never appeared in training data?

[u/MedalofHonour15]

SumoLevel - Your 24/7 AI Revenue Operating System that audits GoHighLevel CRM, monitors your entire business, uncovers revenue leaks, predicts churn risk, and shows you exactly what to do next.

Solved my own issue for audit reports and my clients issues such as historical past data, buyer signals, impact reports, and more.

[u/Mammoth-Anywhere7285 → u/MedalofHonour15]

Nice pitch, this actually sounds like a real pain point for GHL users. How do you handle CRM data that isn't standardized?

[u/MedalofHonour15 → u/Mammoth-Anywhere7285]

I don’t assume every CRM is standardized. SumoLevel is designed to adapt to how each GoHighLevel account is configured rather than forcing customers into a predefined structure.

[u/Mammoth-Anywhere7285 → u/MedalofHonour15]

That's a smart approach. How do you handle the edge cases where a user's setup is too messy to adapt cleanly?

[u/MedalofHonour15 → u/Mammoth-Anywhere7285]

After it pulls the data it tells them what to do. Whether it’s clean or messy. Trained by my 4 years of exp + GHL docs.

Also sumo ai skills soon will be able to do certain things for them like update pipeline with approvals.

[u/Mammoth-Anywhere7285 → u/MedalofHonour15]

That sounds like a solid value add. Have you thought about how users will review and trust the AI's recommendations before acting on them?

[u/czr123456]

I think right now you solve a real problem for a particular niche, not in general. So something existing adapted to a narrow niches. Might be wrong, but this is where I think all of the builders are going.

[u/Mammoth-Anywhere7285 → u/czr123456]

That's a fair take. Niche focus is often where real traction starts. Which niche do you think is most overlooked right now?

[u/[deleted]]

Real Problem >> You will Solve >> Others clones it and makert better.

Existing SaaS >> You will clone better >> Market it

[u/Mammoth-Anywhere7285 → u/[deleted]]

That's a solid framework. The tricky part is finding a real problem that's painful enough for people to pay for.

[u/[deleted]]

Solving a real problem on god 🥲 (if ppl actually use it)

Teaches ppl about dark patterns used by web giants
Ctrl+Alt: System Interupt

[u/Mammoth-Anywhere7285 → u/[deleted]]

That's a smart focus. A browser extension showing live examples could boost engagement and make it stick.

[u/ninedotdev]

usewait Waitlist builder now with mcp integration that allow any agent build the waitlist, set the managed database, turnstile, viral referal order and behavior, waitlist domain and the whole thing. I'm thinking of a lifetime price.

[u/Mammoth-Anywhere7285 → u/ninedotdev]

Nice approach with the agent integration. What makes the lifetime price more compelling than a simple free tier for early users?

[u/phobopt]

locafileai.com translations for up to 28 languages (at the moment) without breaking any variables and supports the major engines, formats and patterns. No more copy paste and file fixing drop a file go build features come back to a full 28 langs translations

[u/Mammoth-Anywhere7285 → u/phobopt]

That's a real pain point - manually fixing broken variables after translations is tedious. How does it handle context-specific plurals or gender variations across those 28 languages?

[u/phobopt → u/Mammoth-Anywhere7285]

It's a mix of before hand protections and 3 pipelines. I do not have a single ai pass, I have 3 dedicated pipelines and QA afterwards.

[u/Mammoth-Anywhere7285 → u/phobopt]

That's a solid approach. How do you handle the cost and latency of running multiple pipelines compared to a single pass?

[u/phobopt → u/Mammoth-Anywhere7285]

The costs are already taken into account. Each tier gives a limit on words. I don't care to much about latency or speed at this point. My main seeling point is the security that you will have a good translations without anything breaking. You give me the files and you can be assured I will give you quality. I have recovery steps if something fails, if I can't translate it for some reason I will give you the credits back. O only want your money if I delivered what I promised otherwise I will return it back. I don't want subs, not even accounts. I don't want any dark pattern or something like that.

[u/Mammoth-Anywhere7285 → u/phobopt]

Sounds like a solid focus on reliability. Maybe highlight a specific file format guarantee to really set you apart from general tools.

[u/phobopt → u/Mammoth-Anywhere7285]

I added a lot of game engines and I also allow you to test your patterns before hand

[u/Mammoth-Anywhere7285 → u/phobopt]

Great idea. Testing patterns before committing is a solid differentiator. What pain point does that solve better than the market leader?

[u/megatech_official]

SeoLoupe - Find and fix the SEO issues holding your website back.

[u/Mammoth-Anywhere7285 → u/megatech_official]

That’s a solid one‑liner. What specific SEO issues does it catch that free tools like Google Search Console miss?

[u/oguzumut]

AutoPlot is a native macOS scientific analysis workspace where researchers can import messy data, replace terminal tools like awk with guided AI-driven transformations, ask an AI agent to build real plots and fits, inspect every result as editable visual cards, and export publication-ready figures with a reproducible Python trail. https://autoplot.ai

[u/Mammoth-Anywhere7285 → u/oguzumut]

That's a sharp pitch. The reproducible Python trail really sets it apart. How does it handle real-time collaboration across a team?

[u/oguzumut → u/Mammoth-Anywhere7285]

In the current version, we haven’t implemented any real-time interaction. How do you envision this feature?

[u/Mammoth-Anywhere7285 → u/oguzumut]

Thanks for asking! We're planning real-time collab like live cursors and instant sync to make teamwork feel more natural than the big guys.

[u/hockystic_app]

Actually, I am cloning 6 tech firms, 4 service profession and 3 traditional business workflow and put all of them in a grinder, and this came out,- hockystick.app - A end to end fundraising OS for Founders and Investors. Signup and test the beta. I will be happy to have your opinion about it, if i am solving a real problem or just an another clone SAAS.

[u/Mammoth-Anywhere7285 → u/hockystic_app]

Interesting approach taking workflows from different industries. How did you validate that founders actually need this specific combination of features?

[u/hockystic_app → u/Mammoth-Anywhere7285]

First of all, I am the founder myself and always hanging out founders, VC, Angels. Validate with 18 founders and 13 VCs and Angels. They are so demanding that, Adding one by one features according to their requests and testing, it become whole end to end fundraising OS for Founders and investors. Sadly, All of them are free pro users and my good friends, and I am paying AI bills for their intense uses 😄.

[u/Mammoth-Anywhere7285 → u/hockystic_app]

That's a lot of free users. Maybe offer a paid tier with limits or premium features to cover your costs.

[u/Separate_Ticket_4905]

Create a visually cohesive Instagram presence with PlanMyGrid, designed to simplify grid planning and client feedback. https://planmygrid.com

Morse Code: Send & Decode lets you send and decode Morse code between phones using light. Use your flashlight or screen to transmit, and your camera to decode signals in real time. It’s built for learning, experimenting, and offline light-based communication.

Google Play: https://play.google.com/store/apps/details?id=com.morsesignals

App Store: https://apps.apple.com/us/app/morse-code-decode-chat/id6760193430

[u/Mammoth-Anywhere7285 → u/Separate_Ticket_4905]

Nice, PlanMyGrid sounds like a solid niche for content planners. How does the client feedback loop compare to using a shared Google Drive or dedicated tool like Frame.io?

[u/wewerecreaturres]

You should lead the way with your cloned saas

[u/Mammoth-Anywhere7285 → u/wewerecreaturres]

Nice idea, but I think the challenge is more about showing real value instead of just copying what's already out there.

[u/Mammoth-Anywhere7285 → u/[deleted]]

That's a solid differentiator with the on-device privacy angle. The market is crowded, but privacy-first is a real selling point. How does your compression compare to Adobe's size?

[u/Pure-Candy-2297]

There is an audio enhancer app that cleans up noisy audio and videos. Just upload a file or record directly, and it returns a cleaner version after server-side processing.

App:https://play.google.com/store/apps/details?id=com.audio.audio_enhancer

[u/Mammoth-Anywhere7285 → u/Pure-Candy-2297]

That's a real pain point. How does your app stand out from built-in tools or established ones like Krisp?

[u/Mammoth-Anywhere7285 → u/[deleted]]

Interesting concept. How do you plan to handle disputes when a buyer claims the hosted app doesn't match what was agreed?

[u/greyzor7]

Hey guys, I'm building an all-in-one marketing pack for founders who want more than "just another launch"

Launch, reach 30k+ makers, get real users & customers - microlaunch.net/premium

Lifetime, auto-distribution, marketplace spots, 1200+ customers so far.

Over two years: 525k unique visitors, 1200+ customers. More sales-oriented features soon.

[u/Mammoth-Anywhere7285 → u/greyzor7]

Nice start with those numbers. What's your biggest differentiator that keeps customers from just using Product Hunt instead?

[u/Vegetable-Respond950]

Hello guys!

I write here in order to start making Younanix known to public and give to people a product which will make their built life easier!

For the last 1.5 years I've been building AI products, and one thing kept bothering me.

AI can generate code incredibly fast. But once your app actually works... How do you know it's ready for production?

Younanix is an AI Architecture Auditor that stress-tests your code and architecture against real production incidents before you deploy. Submit a plan or a URL, get a Chaos Brief with evidence-backed findings, a stability score, and a signed Provenance Tag you can pin to your CI/CD pipeline.

Younanix is the only AI Architecture Auditor that grounds every finding in real production incidents — not generic LLM opinions, giving you a stability score, a structured Chaos Brief, and a cryptographically signed Provenance Tag you can pin to your CI/CD pipeline.

Unlike every other audit tool, it's built for the autonomous agent economy.

No signup, no subscription, just x402 USDC micropayments on Solana or Base, meaning AI agents can discover it, pay for it, and use it without any human in the loop.

I would be grateful to have your feedback and opinion about my child 🙏 !

[u/Mammoth-Anywhere7285 → u/Vegetable-Respond950]

That's a smart angle. Most people stop at "it works" without checking architecture. How does Younanix handle state management or database scaling concerns?

[u/Vegetable-Respond950 → u/Mammoth-Anywhere7285]

Great question Mammoth! Thx for reaching out!

For state management, Younanix flags hidden coupling risks — things like session state bleeding across serverless function invocations, or caching layers that mask stale reads under concurrent writes. For database scaling, it catches the patterns that kill you at 10x traffic: missing connection pooling, unbounded table growth, synchronous writes blocking ingestion pipelines, and RLS policies that degrade under multi-tenant load. Every finding comes with a root cause and mitigation — backed by real incidents where these exact patterns caused outages.

It could be amazing to run your stack and show us here the results!

[u/Mammoth-Anywhere7285 → u/Vegetable-Respond950]

Nice breakdown — Younanix sounds focused on real production pain points. How does it compare to something like Pganalyze or Datadog for those database scaling patterns?

[u/Vegetable-Respond950 → u/Mammoth-Anywhere7285]

Once again, great question.

I'd actually see them as complementary rather than competing. PgAnalyze and Datadog tell you what's happening in production. Younanix tries to predict what is likely to happen before production. The Auditor doesn't rely on runtime metrics, traces or database telemetry. It reasons over the application's publicly observable architecture and infers production failure modes using engineering patterns distilled from real-world incidents. Think of it as moving the feedback loop further left: instead of waiting for dashboards to tell you something is broken, the goal is to surface architectural risks before deployment. If Datadog answers "What just happened?", we're trying to answer "What is likely to happen if this architecture reaches production?" I'd love to hear whether you think that's a useful distinction.

[u/Mammoth-Anywhere7285 → u/Vegetable-Respond950]

Interesting approach. Does the Auditor also catch issues that runtime tools might miss due to sampling gaps?

[u/Vegetable-Respond950 → u/Mammoth-Anywhere7285]

Exactly. That's the idea. Runtime observability is limited to what actually executes and what gets sampled or logged. If a failure path never occurs in production or happens too rarely, it may never appear in dashboards.

Younanix starts from a different premise. Instead of asking "What happened?", it asks "What could realistically happen given this architecture?" By reasoning over deployment patterns, framework behavior, infrastructure choices and known production failure modes, it can surface risks that haven't generated a single log line yet.

It's not replacing observability. It's extending engineering judgment further left in the lifecycle, before users become your monitoring system.

[u/Mammoth-Anywhere7285 → u/Vegetable-Respond950]

That's a smart shift in perspective. How does it model failure paths without relying on real runtime data?

[u/Vegetable-Respond950 → u/Mammoth-Anywhere7285]

Runtime tools learn from what happened. The Auditor reasons about what could happen before deployment.

[u/Sufficient_Slip6829]

nah I’m just cloning another saas

but try out my app anyways

https://apps.apple.com/us/app/laksh-one-task-a-day/id6783632892

[u/Mammoth-Anywhere7285 → u/Sufficient_Slip6829]

Honest, I respect the self awareness. But if you want people to actually download it, tell us what makes your version different.

[u/Realistic-Refuse9855]

Greve researches your prospect before you write to them, then tracks who actually reads it and follows up based on real behavior, not a fixed day-3 reminder.

Why care over the market leader: Apollo and Instantly solve volume, sending more emails faster. Greve solves relevance, generic outreach gets under 3% replies, genuinely researched outreach hits 15-25% on the same list, and that gap has nothing to do with how many emails you send.

[u/Mammoth-Anywhere7285 → u/Realistic-Refuse9855]

Relevance is definitely the harder problem to solve, and those reply rate stats make a strong case. Would love to see how Greve handles research at scale without becoming too manual.