[coupon code at the bottom]

BrandMyApp: My Accidental Solution to the MVP Design Problem

Hey Huzzler friends. So I'm just another dev trying to navigate this crazy internet age. Building MVPs has always been my thing - I love the code, the problem-solving, the functionality of it all. But design? Yeah, I'm absolutely terrible at it.

I'd launch these MVPs that worked great but looked like they were designed in the 90s. Embarrassing, really.

A few months back, I was up way too late (coffee at 10 PM, bad idea) messing around with some AI image APIs. Not for any particular reason - just curious what they could do. I started feeding them design prompts out of frustration with a project I was working on.

The results weren't perfect, but something clicked. With some tweaking, I realized I could actually generate decent branding elements. Not just logos, but color schemes that made sense together, typography that didn't make my eyes hurt.

So I built a little system for myself. Something to help me quickly brand my own half-baked projects without spending weeks learning design or blowing my budget on freelancers.

After using it for a few personal projects, a friend asked if they could use it too. Then another. That's when it hit me - I wasn't the only one with this problem.

That's how BrandMyApp was born. Not some grand vision, just me scratching my own itch and realizing others had the same itch.

What makes it different from just generating a quick logo is the emotional part. Good branding isn't just pretty colors - it's about making people feel something when they see your product. Trust. Excitement. Curiosity. Whatever fits what you're building.

The process is pretty simple:

1. You get some logo options that actually work for your industry

2. You see how they look in different contexts (dark mode, tiny favicon, etc.)

3. You get colors that psychologically match what you're trying to communicate

4. You preview everything in actual UI components

5. You get formats that work with the tools indies actually use

The part I'm most proud of is the AI prompts feature. If you use Cursor AI or other coding tools, you get prompts with your brand specs built in. It's just a small thing that saves time, but people seem to really like it.

For bootstrappers like us, I kept it simple:

- One-time cost (starts at $9.99)

- Works even if you can't tell Arial from Helvetica

- Results that don't immediately scream "this is version 0.1"

- Quick, so you can get back to the parts you're actually good at

Anyway, that's my story. If you're like me and design is your kryptonite, maybe give it a try. It's just a tool I wish I'd had years ago.

Any other design-challenged devs here? Would love to hear how you handle the visual side of your MVPs.

If you made it this and read all that - far here is a 25% off coupon for you:

promo_1QU9ySJ6CrinFxkSWrzRCtPf

Let me introduce you to Groop, a product I've built out of pure frustration. Every time I wanted to meet with friends or plan a holiday it was a hassle of constant back-and-forth messaging to check who was available when.

That's why I created Groop, a simple and free solution. It works like this

• Go to groop.cc
• Create a Groop (Eg. summer holiday 2025)
• Send the link to friends
• Everyone can select available dates on a calendar
• The dates when everyone is available are highlighted in green

It doesn't get more simpler than this. No account creation required. No more back-and-forth-messaging.

Check it out: groop.cc

I built myself a system that turns YouTube videos into learning docs.

I did this because I don't have much time to watch YouTube videos, this way I can get a document that I can always reference and learn from it without watching the video again. It's very useful for me and I've been using it very often now.

I'm sharing a Notion link where you can see the documents I created so far.

I would love to hear your feedback on them - whether they are useful, need more content in them, or anything else you may want to share.

https://www.notion.so/Learning-system-docs-1f1016063c1080c6b1f7da435780a4fe?pvs=4

0 ads. 0 outreach.

Just showed up.

Consistently.

With value.

When your audience knows you → they trust you.

And when they trust you → they buy from you.

Can i say that my SaaS paid for this ? Last month it paid my rent lmao.

P.s Tom Yam is amazing but super spicy...

A few months ago, I decided to get started on Reddit—only to get suspended 6 times.

• • First try: Suspended for just commenting.
• • Second try: Suspended again for posting.
• • Third try: Earned 8 karma… then suspended.

This kept happening six times. But on my seventh attempt, I finally made it—no suspension and 30 karma!

• Now, I have:
• • 450+ karma
• • A viral post with 510K+ views (40 DMs!)

That’s when I realized: Reddit is confusing for many people. So, I built MediaFast to help others grow safely — not just on Reddit, but also on X and LinkedIn.

Today, I’ve built an audience of 11,000+ followers on LinkedIn and 2,000+ on X - all by posting consistently and learning what works on each platform.

Indie hackers: Build a SaaS around YOUR problem. 🚀

What it is

If you’ve ever googled a recipe and seen a clean card with the image, cook time, maybe even reviews—all showing before you even hit a website—that’s JSON-LD.

Same thing when a video just shows up as an actual video block in search instead of a plain blue link. That’s structured data doing its job.

JSON-LD is basically a way to label your content so search engines understand what they’re looking at. It doesn’t change how your page looks to users, but it makes a big difference to Google.

Why it's important

This stuff matters because it helps your content get shown better—not just ranked higher, but actually presented better. Cleaner, more useful, more clickable.

Free Tools

Here’s a quick video that breaks it down and shows how to test your Schema for free

If you want to test or create your own Schema Markup, I built this.

Automation

So I decided to use n8n to automate its generation. Here's a tutorial.

BloodTrack helps users effortlessly manage their bloodwork by providing AI-driven insights, personalized health trends, and easy-to-understand analytics. Whether you’re optimizing health, managing TRT, or staying on top of your medical journey, BloodTrack makes blood test results meaningful and actionable.

Hi everyone, I’ve spent the past year building a platform for neutral, data-driven public company research, and I’d love to share some of the technical choices and things I’ve learned along the way. By "neutral approach," I mean the platform avoids investment advice and focuses solely on aggregating financial data — there’s no room for “buy x and you make guaranteed profits” or similar claims.

The platform gets used by investors who try to find undervalued stocks. Today, I want to share a bit of the technical background and hope you like it — otherwise, I’m here to read your roast.

I am using Django as my web framework (hard learning curve, but worth it) with PostgreSQL as the relational heart of my project. Django-allauth is there to authenticate your account — I really recommend it. It’s somewhat tricky to set up, but once configured, it's flexible enough to support various auth providers (I kept things simple for now and have been happy with: Google + normal signup). Then you can easily integrate Mailjet or SendGrid into these authentication workflows (Mailjet is pretty good, I’d say!)

If you visit the platform, you may recognize a very simple — maybe clinical — design. That’s because I had to admit that I’m not a good designer, so I opted for a clean, minimal layout to avoid clutter.

My choice for the frontend was Jinja (within Django), Tailwind, and some vanilla CSS. For visualizations, I strongly recommend you work with ECharts, or if you have a project related to stocks — checkout tradingview‘s JS libary. There are indeed tons of other JS libraries I used over time, e.g., for PDF generation, but one other thing I need to give a shoutout to here is htmx — literally a game changer for me to communicate fast and easy between front- and backend.

For caching operations, I decided on Redis (very easy setup via Django).

To ensure that my stock data is current, I’ve implemented Celery along with Celery Beat. I am using Redis to as the message broker, but am eager to try out RabbitMQ for my next project — but this one does not require priority queues, and I had Redis on board already, so I stuck with it.

The datasets I work with are listed inside the FAQ. To sum it up real quick: I use a mix of open government data (easy to get, hard to organize at scale) and paid APIs (e.g., for the exchange-related information, which adds up very fast to $$$$).

Lately, I’ve been thinking about how to integrate LLMs in a way my users benefit from. So I’ve created a schema that allows LLMs to analyze earnings call transcripts. Currently, there are already 500 reports generated by DeepSeek R1 and GPT-4 (no sign-up required example — for Microsoft).

Apologies if some descriptions lack polish — this is the only thing I’ve made so far. I hope that I can write more precise/formal descriptions once I’ve finished my CS bachelor :)

Also: I know the platform isn’t fully responsive yet. Several mobile issues were reported — that’s what I’m currently working on.

This post is more focused on my tech stack/experience, but here are some major features I’ve built based on the journey above:

• Watchlists (List of stocks you may want to invest in)
• Portfolios (An extended version of watchlists, with performance metrics, historical data, and community feedback — you can rate shared portfolios, e.g., for their diversification grade)
• Company Screeners (Basically a criteria filter, to discover new ideas/investments — Example: “Show me all US stocks in the Tech or Energy sector with a dividend growth of 25%”)
• Company Report (A detailed analysis of a company divided into financials, earnings reports, catalysts, and Investor Relations)
• Workspaces (Take notes on SEC statements, read SEC documents in an optimized user interface)
• Some others are: Calendars, News articles, Company comparisons, People reports, Market reports

Thanks for reading it, hope it helps someone. Please let me know, if you have any questions or feedback :)

Hey everyone 👋 For those interested, we've added new advertising options ranging from 1,659 up to 7,458 weekly impressions.

Only until April 30th , we're doing a sale were you get 25 bonus ad credits per 100 credits purchased️

Advertising options: huzzler.so/advertise/options-pricing

Upcoming features for Huzzler

Now that the development on the advertising system is done, we're focusing on making Huzzler the best platform for founders. Here is a list of a couple of the planned features we have:

• Automatically add your product to "alternative to" so people can find your products through SEO
• Be able to save / bookmark valuable posts in folders
• Accountability system where you can define goals and celebrate milestones with the community weekly (you will be held accountable by the community) 😉
• A problem/solution directory where users can submit real world problems they have. This will provide Huzzler users with a list of already validated product ideas. You'll also be able to notify the user who posted the problem when your app is ready, that way you already have a paying customer ready.
• Gamification: have a level and xp. Increase your level by contributing in the community
• Referral system: gain advertising credits by referring people to Huzzler
• OAuth, login with Google
• Embeddable badges for the launch Arena
• Be able to link a product with a showcase
• Better filtering / sorting in product pages (filter by category, sort by date,..)
• Coming soon tab: all projects that are soon to be relelased
• Previous launch arena winners pages
• .... and many more features

Let me know if you'd like to see other features as well 😁

Thanks for reading guys!

I recently stumbled across an interesting Reddit post from someone who’s been in B2B marketing for 15 years. It's a list of the top marketing tools for indie hackers / founders.  Thought it was worth resharing here for other SaaS founders who might find it useful.

Hubspot

You really can’t beat Hubspot. It’s hands down the best marketing automation platform and a great hub for everything marketing teams need. I’ve tried Pardot, Marketo, and Act-On, and Hubspot beats them all. It is pricey though, if all you need is basic email marketing, I’d suggest checking out the next tool instead.

Apollo.io

Think of Apollo as ZoomInfo plus Salesloft, all in one. Last I checked, it was still just $99/month for unlimited email credits. It’s packed with features like other sales tools but way cheaper. Great for email marketing and outreach.

Gong.io

Even though Gong is mainly for sales, I use it to hear the actual voice of our customers. Honestly, some of my best content and landing pages came directly from Gong recordings. Real customer language beats anything I could come up with myself.

Session Rewind

It’s like HotJar, but better. I use it to watch how people interact with my landing pages. I like to mix numbers and real behavior. Google Analytics tells me what happened, but Session Rewind shows me how it happened.

BigMarker

I recently started using BigMarker for webinars, and I’ve been very happy with it. It costs more than Zoom or GoToWebinar, but it feels like a tool made just for webinars which I like.

ChatGPT

This one’s obvious but if you’re not using ChatGPT yet, you’re falling behind. A lot of marketers I know use it to write most of their content. It’s not perfect, but it’s a must-have tool today. AI might take over someday, so might as well use it now.

ClickUp

My go-to tool for managing projects. I switched from Monday.com and haven’t looked back. I run my whole company with ClickUp, and I’m still on the free plan. It’s easy to use and has great integrations.

Ahrefs

I know there’s always debate between Ahrefs and Semrush, but I’m team Ahrefs. It’s the best SEO tool I’ve used. It shows everything I need to know about my site and what my competitors are doing. I’ve got a whole SEO toolkit, but Ahrefs is where I always start.

Posting on Reddit can be weird. Sometimes you write something thoughtful, and it gets ignored. Other times you’re not even sure what people want to hear.

I kept running into this myself. So, I started building something to make it easier to figure out what to say and how to say it, based on the subreddits you want to target.

The idea is to help you stop guessing and start with a clear guide instead. It’s for people who want to contribute.

It’s still early, but I’d love to hear what you think.

Is this something you’d find useful? Anything that feels off or unnecessary?

Would love your feedback!!

Here’s the link: EngagementSpark

I'll start by saying this isn't a promo post. I'm not affiliated with this startup in any way.

There comes a time in the life of a founder when they must charge users. The staple service used for this is Stripe.

But what happens when Stripe isn't supported in your region? You look for alternatives!

I spent the better part of the last four weeks, checking out Stripe alternatives, some of which were great, and some, not so much.

After much deliberation, I've come to announce the best ever Stripe alternative (IMO); Dodo Payments.

It's easy to use, has great UI/UX, and you can set it up in less than 3 days, with zero to minimum hassles.

It's honestly been a breeze.

Hi,

I just got accepted into an accelerator where I have to build a mobile app in 45 days for a school project.

Recommend any app, webapp, IDE that I can use to get a crazy good MVP in a very short period of time (I also plan to put in not less than 20 hrs a week into this project).

So, lay your recs in the comments, thank youuuuuuuu.

Hey folks!

After spending way too much time working 9-5, last year I've decided to branch on my own and launch my own web agency. Currently it's only me, but I am doing okay, since I have very strict working policies (limit number of customers, don't take every project, have a price, etc.)

It's been a very fun ride, the only thing I'd wish I do differently is to invest in better marketing, don't accept so many NDA-bound gigs (for some reason, companies are really afraid people will know they use consultants. Who cares?) and got a different name. It's really hard to pronounce for some :)

Long story short, if you need a website that isn't just another WordPress with customizable theme, but something handcrafted and handcoded, I'm your guy!

Buszewski.com

Hey fellow indie hackers! 👋

I m building a little tool that scans your code for security issues, API leaks, CSRF vulnerabilities, insecure cookies, SQL injection risks, and other "oh sh*t" moments BEFORE you ship.

It takes 3 minutes to run, and gives you actual code snippets to fix the problems - not just "you're screwed" warnings. Works with JS/TS, React, Node, Python, Laravel etc.

Now yeah, security scanners exist. But most of them assume you’ve got a security team and time for audits.

This one’s for solo devs and indie builders. The ones who ship fast and just want clear, no-BS answers.

Would you throw a few bucks my way for something like this if it saved you from that 3am panic when you realize your app has security holes after launching 😊?

Just trying to see if I'm the only one with these security nightmares!

Made a typo or need to update your product logo? It's now possible to edit your product on Huzzler. You can do so using the "Edit Product" button at the bottom of your product page.

Hey guys, for those who don't know, I'm the founder of Huzzler. Just wanted to make this post to announce the launch of my development agency 😁

You might know, but there are lots of MVP agencies out there. What makes mine different from the others is that it's focused on creating super high-quality products (design and development-wise). I've been coding for 9 years and have created countless enterprise-grade products. I build full stack, web & mobile and even do smart contract blockchain development.

My services are

• Website development (simple and complex)
• Any kind of website integrations
• Beautiful Design & UI
• PWA development
• Native app development with react-native (4 years of professional experience with react-native)
• web3 smart contract development (solidity)
• web3 frontend development with EVM compatible chains
• Hosting

Feel free to check out my agency site on: propulsion.so

Behind every reliable software product engineering service, there’s an engineering mind quietly solving invisible problems before they become visible failures. Whether you're a backend developer tuning queries or a CTO overseeing large-scale deployments, the need to consistently fix performance bottlenecks is a part of your daily reality.

Technical decisions in complex systems are often made under pressure. Without clarity, that pressure can lead to reactive patches instead of long-term solutions. 

Daily affirmations offer a simple but effective mental framework to help engineering leaders stay aligned with their priorities. You can utilize them as daily reminders to think intentionally, act early, and design systems that handle high traffic loads and stay reliable.

Why Mindset Matters to Fix Performance Bottlenecks?

Performance bottlenecks are the result of accumulated delays, overlooked warning signs, or rushed decisions made under pressure. In such situations, how engineers and CTOs think is just as important as what they do.

When managing high-demand systems, mindset influences how performance issues in scaling applications are approached. A reactive mindset is needed to strategize to eliminate performance bottlenecks. It may rely on quick patches that fail under future load.

Engineering leaders with a performance-first mindset regularly evaluate their infrastructure. They identify slow APIs, review system logs, and test their scaling strategies, not only when something goes wrong but as a habit. It reduces system downtime and aligns everyone around one shared goal, to fix performance bottlenecks before they impact the user experience.

The Reality Behind System Performance Pressure

In today’s high-demand digital environments, the responsibility to fix performance bottlenecks consistently falls on backend engineers and CTOs. Whether scaling a cloud-native application or debugging a slow deployment, the pressure to maintain smooth performance is constant, and often underestimated.

📊 Relevant Statistics:

• 48% of critical system outages were due to unresolved performance bottlenecks during traffic spikes, many of which could have been prevented with better monitoring and testing.

• According to GitLab’s Developer Survey, 64% of engineers say that performance issues in scaling applications cause the most stress during production releases.

• Gartner estimates the average cost of server crashes caused by backend failure at $5,600 per minute, highlighting the financial impact of poor backend planning.

Common Stereotypes in Performance Management

In the digital business, common stereotypes often delay efforts to fix performance bottlenecks and misguide system optimization priorities. Often, you’ve come across such pre-defined business hurdle mindsets, like, 

🔹 It’ll scale automatically, Assuming auto-scaling during traffic surges solves everything, ignoring the need to optimize system backend response times.

🔹 Monitoring is an Ops job, Overlooking the role of developers by using real-time traffic monitoring solutions to detect issues before they escalate.

🔹 Only frontend matters to users, Ignoring how slow APIs and unoptimized backend services directly affect user experience and retention.

🔹 We’ll fix it after launch, Short-term business thinking instead of building systems with proactive software scaling and performance reviews in mind.

This context shows why performance isn’t just about tools, it’s about thinking ahead and designing systems that are stable under pressure!

How Daily Self-Talk Influences Technical Decisions?

Engineering isn’t just technical, it’s intensely mental. The decisions that fix or cause performance bottlenecks often happen in high-pressure moments. During deployment windows, incident triaging, or architecture reviews, the internal dialogue engineers and CTOs carry with them can shape everything from system design to response strategies.

Daily self-talk, especially when it’s structured and intentional like affirmations, gives engineers a moment of clarity before making decisions. Instead of rushing through logs or hastily patching backend services, they pause, reflect, and choose a solution that aligns with long-term scalability.

For example, a developer who starts the day thinking “I design with scale in mind” is more likely to review queue behavior or optimize backend response time rather than simply increasing timeouts. 

A CTO who reinforces, “My job is to ask the right performance questions,” may invest in performance audits or challenge assumptions around slow APIs and data-heavy routes.

Affirmations don’t eliminate stress, but they reframe how technical challenges are approached. When mindset becomes method, engineers respond to bottlenecks with structure, not stress.

Daily Affirmations to Fix Performance Bottlenecks

1. Focus on Clarity Before Code

Before writing a single line, engineers should map system workflows, define expected loads, and isolate high-traffic APIs. This reduces system architectural flaws that often cause performance bottlenecks under pressure.

2. Performance is a Product, Not a Patch

Instead of fixing response delays reactively, engineers should embed system performance optimization into development cycles. Regularly reviewing queries, queuing logic, and Redis usage can make performance part of CI/CD quality checks. For CTOs, setting this expectation early builds a culture where system bottlenecks are treated with the same priority as bugs.

3. Slow APIs Need Your Attention First

APIs handling the most business-critical functions must be profiled consistently. Use tools like Laravel Telescope, Blackfire, or Postman monitors to measure call frequency, payload size, and latency. Resolving these issues early not only improves user experience but also fixes performance bottlenecks that often go unnoticed in the background.

4. Use Data to Drive Scaling Decisions

Scaling decisions should come from real metrics, not assumptions!

Analyze real-time traffic monitoring solutions to understand peak patterns, failed requests, and queue lengths. This enables smarter use of autoscaling groups, queue thresholds, and database read replicas, preventing resource waste and avoiding costly performance degradation.

5. Simulate Load Before It Finds You

Before peak events or deployment, run stress-testing tools like JMeter or Artillery to simulate traffic spikes. Monitor how APIs, job queues, and DBs respond under pressure. This often reveals performance issues that otherwise go undetected in normal QA routines.

6. Test Failure, Not Just Success

Engineers must validate how their systems behave under failure. By simulating database disconnects, queue overloads, or delayed third-party APIs, one can measure how resilient the system truly is. These tests reduce the risk of server crashes in production and strengthen backend logic by exposing weak failover paths early.

7. Build Redundancy Into Everything

A single point of failure can take down an entire product, especially in the monoliths. 

Engineering leaders must plan well for handling traffic spikes, using techniques like multi-zone deployments, caching layers, mirrored databases, and distributed load balancers. This redundancy ensures consistent uptime when traffic increases or systems degrade under pressure.

8. Lead with Observability, Not Assumptions

Businesses must ensure every critical component of their stack is observable through logs, metrics, and alerts. Using real-time traffic monitoring solutions, you can catch slowdowns, memory leaks, or surging error rates before users experience them. Observability allows leaders to fix performance bottlenecks before they cascade into outages.

9. Design Systems That Reflect Scalability, Not Complexity

Engineers should focus on building scalable system architecture using principles like decoupled services, message queues, and load-agnostic routing. It becomes easier to scale specific functions independently without overhauling the entire stack. It leads to faster and cleaner performance tuning.

10. Stay Calm When Load Peaks

Rely on tested autoscaling during traffic surges, CDN caching, and database load balancing to absorb the system pressure. A stable mindset during traffic spikes ensures that performance bottlenecks are handled proactively, not after users report them.

Performance Culture Tips for Engineering Leaders

Creating a strong performance culture doesn’t rely on tools alone, it depends on how engineering leaders define priorities. By setting the right expectations and building habits around system health, CTOs and architects make it easier to fix performance bottlenecks before they affect real users.

1. Embed Performance Metrics into Daily Workflows

Integrate real-time traffic monitoring solutions directly into your development and deployment pipelines. Tools like Prometheus or New Relic can provide continuous insights, enabling teams to proactively fix performance bottlenecks before they escalate.

2. Promote a Culture of Continuous Feedback

Establish regular, informal check-ins focused on system performance optimization. Encourage team members to share observations about slow APIs or other issues, fostering an environment where performance concerns are addressed promptly.

3. Invest in Targeted Training Programs

Offer workshops and training sessions on topics like stress testing and backend response time optimization. Empowering engineers with the latest knowledge ensures they are equipped to handle performance issues in scaling applications effectively.

4. Encourage Cross-Functional Collaboration

Facilitate collaboration between development, operations, and QA teams to identify and resolve performance challenges. This holistic approach ensures that backend services are optimized in conjunction with frontend and infrastructure components.

5. Recognize and Reward Performance Improvements

Acknowledge team members who contribute to enhancing system performance. Celebrating successes in proactive software scaling and fixing performance bottlenecks reinforces the importance of performance culture within the organization.

Bottomline

Whether writing backend logic, reviewing deployments, or managing releases, each task should align to detect and eliminate inefficiencies before they affect production!

It just requires a consistent focus on monitoring API latency, validating scaling behavior, testing job queues under pressure, and reviewing resource consumption metrics. These actions not only improve system reliability but reduce firefighting and accelerate system delivery cycles.

Technical teams must review real-time traffic patterns and maintain test coverage for load-sensitive endpoints. Furthermore, audit critical flows for processing delays or concurrency issues are also crucial. When the technical leadership of any business treats performance not as a checkpoint but as a discipline, the process to fix performance bottlenecks becomes structured, measurable, and eventually predictable.

FAQs

1. What causes performance bottlenecks in backend systems?

Performance bottlenecks are often caused by unoptimized database queries, inefficient API logic, high memory usage, or poor concurrency management. It also includes a lack of stress testing, missing caching layers, and heavily synchronous operations.

System performance bottlenecks usually emerge when system load increases. Continuous profiling and real-time monitoring help detect them early. Addressing them requires a combination of architecture review and runtime metrics.

2. How often should I review system performance?

System performance demands regular review, ideally during every deployment cycle and also as part of weekly or bi-weekly operational reviews.

Monitoring key metrics like API response time, error rate, and queue lengths helps prevent issues before they affect users. For high-traffic systems, continuous performance evaluation is essential, it can be achieved wth the adoption of best tools for infrastructure scaling and monitoring.

3. What’s the difference between stress testing and load testing?

Load testing measures system behavior under expected levels of traffic to evaluate stability and response time. Stress testing goes a step further, it pushes the system beyond normal limits to identify failure points and recovery behavior. While load tests validate capacity, stress tests prepare the system for worst-case scenarios. 

4. Can any software product engineering service help improve backend performance in enterprise systems?

Yes, Acquaint Softtech specializes in backend performance engineering, especially for Laravel, Node.js, and custom architectures. Our software experts help identify performance bottlenecks, restructure unscalable components, and implement real-time observability across systems.

Source :

https://medium.com/@elijah_williams_agc/daily-affirmations-to-fix-backend-bottlenecks-and-boost-performance-d929dec11d2c

Kuberns takes your project and gets it live, running, and managed - without you dealing with any of the cloud setup.

Every time we built something new, we wasted hours setting things up just to launch. It slowed us down and distracted us from what actually mattered.

So we built Kuberns to take care of all of that, so we could just focus on building.

We just launched and would love your feedback:

Would you use something like this for your next project?

What would stop you from trying it?

What would make it even better?

Thanks for checking it out! Kuberns

Motivation

So you need relevant business leads from Reddit? Find them without manual searching using this n8n automation I built.

Here's the YT Tutorial, if you want to make it yourself.

Also, here's the blog post describing it.

What it is

An automated n8n workflow that analyzes your website, monitors Reddit for industry-relevant posts, and delivers potential leads directly to your inbox.

How It Works

The workflow analyzes your website to determine your industry & keywords you are targeting. It then searches Reddit for relevant discussions using those generated keywords. Proceeds to filter posts based on engagement metrics and uses AI to identify and summarize potential leads, and delivers them as a formatted email report.

You clock out, you’re exhausted, and yet you still want to work on your own thing.

Maybe it’s a startup, a product, a course, whatever.

But most side projects fade out after the initial hype.

People get tired. Life gets in the way. Consistency fades.

So for those of you still doing the 9–5 (or worse, shift work):

How do you actually make progress without burning out or losing motivation?

What habits, mindset shifts, or setups helped you stick with it long enough to see results?

Would love to hear what’s actually worked for people here.

Built this to solve my own problem: finding people who are already asking for products like mine.

What Threddr does:

• Scans Reddit based on keywords + product info
• Finds fresh posts where users are asking for tools, alternatives, or solutions
• Scores each post by intent, sentiment, and engagement
• Lets you reply with AI-drafted responses
• Helps manage replies and follow-ups from one dashboard

I was tired of cold DMs and guessing where to find early users. This makes it easier to jump into real conversations where your product is already relevant.

Still improving things - especially around result quality and reply tone. If you're trying to get your first users, give it a try and let me know what’s missing: https://threddr.com

Launched it on Launch Arena too - if you like it, your upvotes genuinely help:

https://huzzler.so/products/0DrQGfJqfc/threddr

I've built FacePic.app to transform selfies into professional headshots. I need your honest feedback on something crucial:

Do the people in my before/after examples still look authentically like themselves?

I've attached sample transformations and would appreciate your thoughts on:

1. Can you tell it's the same person?
2. Any features look unnaturally altered?
3. Would you feel the AI preserves your identity if you used it?

Your feedback will help me refine the tool to ensure users feel properly represented in their professional photos.

Thank you!

Hey everyone! I'm introducing "Tool Tuesday" 😁 This is our dedicated weekly thread to share, discover, and discuss the amazing tools, apps, and services that can help us build, manage, and grow our ventures.

To get the ball rolling:

• What's one tool you've recently discovered that you're excited about?
• What's your "can't live without" tool?
• Are you looking for a tool to solve a specific problem? Ask the community for recommendations!

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Have an amazing day everyone!

Hi Huzzlers,

I've been wondering...

After seeing a few tools that help you find Redditors that might have the problem you are aiming to solve, and also talking to other entrepreneurs building AI products...

I'm just wondering, what's missing? It seems lots of people have great ideas, but those ideas barely get any attention, let alone people paying for them.

What do you think might be missing in this equation?

I'm building a powerful tool to handle boring Reddit marketing, without users (founders) ever needing to actually use Reddit.

Here’s what it includes:

• Sub Tracking: A scraper will periodically collect data on the number of users in specific subreddits you want to track.
• Scheduling: Schedule your posts for the best times, based on subreddit activity trends.
• Alerts: You can set up keyword alerts or even track competitors (just paste their profile link). This feature lets you monitor posts/comments and even respond directly from the platform.
• User Lists: Add users into groups (e.g., prospects). Once added, you'll get detailed insights and visual breakdowns of what they have in common, like which subreddits they follow, common pain points, or what solutions they’re looking for.

As you can see, it's a pretty comprehensive tool. Once you've identified your key subreddits, you won’t need to go back to Reddit to effectively engage your future leads.

Lastly, I know a lot of people are building SaaS and looking to validate their ideas. My plan is to offer a solid free version that helps with that early validation. Then, charge (fairly) once they’re getting real leads and seeing results.

What do you think?

Can you give me feedback on my website: https://datascientistsdiary.com/

Actively marketing our products is necessary, but it should be quick.

That's why I made a free tool on n8n that anyone can use (template pending approval by n8n)

The workflow is simple.

1. Assign keywords and subreddit channel
2. Assign model and prompt
3. Assign Gsheet ID and pick tab to append rows in

To run completely for free, make sure to limit your search results, by setting the upvotes filter to a higher number -- OpenRouter doesn't allow more than 5 requests / min with their free tier.

Here's the tutorial

Here is a good sidehustle. You Hostnplay games with your friends or followers. Earn money whether your gamehost, player for hire, or player.

Gamehost: get paid for hosting games

Player for hire: gamehosts pay you to help find them players.

Players: build a community forum, where gamers can post their gameplay, games and anything related to gaming.

With the community forum if you are building a game, you can also build a community based on that game. You can build a subscription based community to help you financially so you focus building your game.

Launching a product?

Here are some underrated (and powerful) platforms to share it on:

• Product Hunt

• BetaList

• DevHunt

• Peerlist

• TinyStartups

• Microlaunch

• Fazier

• Launching Today

• SideProjectors

• Solopush

• StartupStash

• SaaSHub

• Uneed

• http://Startups.fyi

• Huzzler

• LaunchingNext

• http://Startupfa.me

• http://Resource.fyi

• AffordHunt

• FindYourSaaS

• AlternativeTo

• http://Alternative.me

• ProductBurst

• Steemhunt

Bookmark this.

You don’t need to go viral.

You need to show up everywhere.

i listed the most underrated high potential ai business ideas for 2025:

1. ai-powered digital twins - saas platforms that create digital replicas of physical assets for simulation, monitoring, and optimization purposes.

2. ai automation for large enterprises - solutions that help big businesses implement ai to streamline processes, improve efficiency, and reduce headcount, starting from niche applications.

3. ai shopping assistant - tools that personalize online shopping experiences by analyzing user behavior, preferences, and trends to increase engagement and sales for retailers.

4. fintech innovation for the next decade - research and develop ai-driven fintech solutions to capitalize on emerging trends and opportunities in financial technology.

5. ai-based financial forecasting for startups - tools using machine learning to provide accurate financial forecasts and scenario planning for early-stage startups.

6. ai-assisted worker job board - a platform connecting businesses in wealthy nations with ai-assisted workers in emerging markets, enabling cost-effective outsourcing.

7. ai-assisted employee board - a job board matching employers with candidates based on genuine skills, interests, and contributions for optimal hiring.

8. ai co-founders/business advisors - ai-driven virtual advisors tailored for specific needs such as business strategy, marketing, seo, and financial management.

9. ai as a friend/companion - ai-powered applications designed to address loneliness by acting as virtual friends, girlfriends, teachers, or companions.

10. ai-powered dating apps - platforms where users, especially women, can specify exactly what they’re looking for and initiate conversations with selected matches.

11. ai-driven market research - platforms that utilize ai to gather, analyze, and interpret market data for strategic business decisions.

12. subscription-based market research reports - provide in-depth market research reports and industry analyses on a subscription basis for businesses and investors.

13. high-stakes forecasting platform - saas leveraging ai and simulations for demand forecasting in industries like energy, agriculture, and logistics, reducing operational risks and costs.

14. ai-driven content creation and management - a saas tool that generates, curates, and manages digital content, aiding marketers, publishers, and creators in producing high-quality material efficiently.

15. ai for entertainment - platforms that curate high-quality social media content based on user preferences, enhancing entertainment experiences.

16. ai-driven sales platforms - tools using ai to optimize sales processes, lead scoring, and customer relationship management (crm).

17. ai-driven marketing optimization - a saas platform leveraging ai to autonomously manage and optimize all aspects of digital marketing campaigns, including content creation, real-time performance monitoring, predictive targeting, budget optimization, and multichannel campaign management.

18. traction channel testing app - an ai-powered app that helps businesses test and identify the most effective marketing and growth channels for their products or services.

19. personalized marketing platforms - ai-driven platforms that create individualized marketing strategies based on customer behavior, preferences, and trends.

20. precision marketing for b2b - saas using ai to create highly targeted campaigns for b2b companies based on behavioral data, enabling personalization at scale.

21. ai-driven content personalization for creators - tools that suggest content ideas to creators (videos, blogs, social media) based on audience preferences and behavior to enhance engagement.

22. ai authentic personal brand creator - platforms that help individuals create authentic brands, providing them with tailored content ideas and strategies to build their personal brand.

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I kinda new here and I'm really liking the space, it's like #buildinpublic twitter but it's not toxic 😂