Not everyone remembers, but back in 2005, Alex Tew had a crazy idea: sell 1 million pixels on his website for $1 each to raise money for college.

http://www.milliondollarhomepage.com/

And guess what? It worked! He made a MILLION USD in just a few months! 😱

Fast forward to today, and people are buying virtual trees for $2 each! 🌳 It’s wild to think about how these out-there ideas can turn into something huge. The moral of the story? Sometimes, a little bit of craziness can create something that catches attention and surprises everyone.

Reach thousands of active founders looking for tools to solve their problems. Our Featured Product placement guarantees premium visibility with 7,458 weekly impressions for post ads (like you are reading right now).

Get direct access to your perfect target audience - people actively building, launching, and growing startups who are ready to invest in solutions like yours. Limited weekly slots available.

Reserve yours now at huzzler.so/advertise

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. 🚀

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.

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

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.

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

Hey everyone, this is just a kindly reminder that you get $10 in advertising credits per friend you refer to Huzzler. At the time of writing, it costs $26 in credits to advertise your product on Huzzler and generate about ~2000 impressions.

How to refer a friend? Simply copy your referral link and send it to a friend, share it on X,..

Advertising credits can be spent here

Have an amazing day everyone!

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.

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!

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.

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.

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

Just wrapped up a full migration of my site (DubaiDiscoverer.com) to Next.js — after learning the hard way that my old setup was tanking my SEO.

Originally, I built the site using Lovable. It used Vite + React under the hood, and honestly, the development experience was fast and easy. Great if you’re in MVP mode.

But… over time I noticed something off: the site wasn’t indexing well on Google. I had all the basics covered — sitemap, robots.txt, meta tags via react-helmet (which I confirmed were implemented) — but SEO tools were still showing blank pages. And more importantly, Googlebot wasn’t reliably seeing the site’s actual content.

The problem? Lovable-generated projects don’t render text into the final HTML. Without server-side rendering (SSR), the content isn’t present in the initial page load — so search engines can’t see it. No SSR = no crawlable content = no search visibility.

While Google Search Console sometimes managed to pick up content after rendering, most SEO tools - and probably Googlebot most of the time - just saw empty pages.

This was a huge surprise. I assumed any tool building “production-ready” sites would at least account for basic SEO fundamentals. But clearly, SSR isn't built into Lovable’s output, and it’s not something they highlight as a limitation either.

If you’re building anything that depends on organic traffic - a blog, content site, business site — this is a dealbreaker. It’s honestly surprising more people aren’t talking about it.

Switched to Next.js with SSR/static generation, and everything works as it should now — content is properly rendered, indexed, and showing up in search.

Hope this helps someone avoid the same pitfall. AI tools like Lovable are impressive, but make sure you know what’s going on under the hood if SEO matters to you.

You can see also before/after google crawler simulator results (screenshot 2 and 3)

- nobody cares that your product uses ai.

everyone uses ai now. it's not a differentiator. it's table stakes.

- your biggest risk is building something nobody wants.

ai makes building easier, but customer validation is still hard. skipping it kills startups.

- most ai saas tools are features, not products.

you need a solution to a real problem, not just a cool demo.

- if you can't sell, you're screwed.

the best product almost never wins. the best distribution does.

- building is 20%. getting users is 80%.

coders love building. but saas success is in growth, marketing, and retention.

- churn will silently kill you.

you can get signups, even sales. but if users don’t stick, you’re toast.

- you probably overestimate how much people care about your product.

customers don’t want to “explore” tools. they want solutions that save time or make money now.

- no one wants another dashboard.

users are overwhelmed. if you're building a tool, embed it in their workflow or make it invisible.

- your first 10 customers matter more than your first 1,000 signups.

vanity metrics kill focus. chase feedback and dollars, not upvotes.

- vcs aren’t stupid.

if you’re pitching “ai for x” without data, defensibility, or distribution, they’ve seen 10 of you this week.

- launching on product hunt doesn’t mean shit.

it’s a traffic spike, not traction. it won’t fix a weak product or zero pmf.

- there is no passive saas.

even with ai and automation, you’ll be fighting fires, updating features, and supporting customers.

- your idea is not special.

execution, timing, positioning, and speed matter 100x more.

- your tech stack doesn’t matter to customers.

they care if it works, solves their problem, and is easy to use. that’s it.

- you will underestimate how hard it is to grow.

especially past $10k mrr. every growth stage is a new slog.

- bootstrapping is slower than you think.

it’s also more real. but expect years, not months, to see serious returns.

- copying other successful saas won't work.

what worked 2 years ago doesn’t work now. context has changed.

- you must know your customer better than they know themselves.

if you can’t articulate their pain better than they can, you won’t convert them.

- ai alone doesn’t create lasting value. workflow integration does.

a gpt wrapper is easy. getting it to actually do something useful daily is hard.

- you will want to quit at least once. probably more.

especially when sales are slow, churn is high, or you hit a feature wall. that’s normal. doesn’t mean stop. means fix something.

good luck.

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’ve been facing some serious challenges with SEO and indexing on DubaiDiscoverer.com. Despite having a fully developed site with both frontend, backend, and a working database, Google crawlers couldn’t read it properly. It’s been super frustrating, especially since I’ve tried several solutions.

I started by adding Helmet to handle SEO, but that didn’t solve the problem. Then, I spent 4 hours trying to implement Server-Side Rendering (SSR), but it still didn’t work. Honestly, it’s pretty surprising that Replit, Lovable, and Bolt.new haven’t provided a solid solution for this.

So, after a lot of back and forth, I’ve decided to fully migrate DubaiDiscoverer.com to Next.js. I’m hoping this will finally resolve the SEO issues and make Google indexing work properly. I’ll keep you posted in the coming days on how it goes and what results I get (fingers crossed that the transition to Next.js leads to better results!)

Anyone else dealt with similar challenges? Would love to hear your experiences and insights.

What do you prefer? B2B or B2C digital products? Why? Share your opinion!

- attending calls on time  

- smiling when you greet them  

- saying their name  

- treating them as important  

- following up  

- researching them ahead of time  

- responding quickly  

- listening more than you talk  

but make a world of difference.

1. build a killer knowledge base

- write 5-10 faqs covering common issues, like “how to reset your account.” my faq page cuts most support emails.

- use a free tool like notion to host a public help center, simple and searchable.

- update it monthly based on new user questions you see in emails or x dms.

- link to it in every support reply to nudge users to self-serve.

2. use ai for assessment, not answers

- set up a basic ai chatbot to categorize tickets (e.g., “billing” or “bug”). i've used a free zapier flow for this.

- but always follow up with a human reply, users hate ai-only responses.

- train the ai on your faqs to suggest relevant help articles before escalating.

- keep tweaking the bot’s logic to avoid frustrating users with bad suggestions.

3. leverage your community

- start a discord or forum where users can help each other. my 50-user discord resolves 20% of questions.

- pin a “support” channel with links to your faq and email for quick access.

- thank active community members with free months or swag, it builds loyalty.

- monitor threads to jump in when needed, but let users shine.

4. prioritize high-impact replies

- focus on new users first, they’re most likely to churn. i reply to trial users in under 2 hours.

- use canned responses for common questions, but personalize the opener (like “hey sarah”).

- track support trends with a free tool like google sheets to spot recurring issues.

- fix bugs fast and email affected users, they’ll stick around if you’re doing good.

good luck with your efforts to scale.

-

i've been helping founders rank higher in ai search results over the past few weeks.

helping them create a free, organic, and consistent traffic channel that drives business growth.

couple months from now, nothing will drive more sales than having ai recommend your products and services.

analyze your site's ai seo score at https://lm-seo.com and get a step-by-step action plan tailored to your site.

I'll start first.

36.

Also, what's your favorite domain registrar service?

Mine is Namecheap, but thinking of trying Porkbun.

Curiosity for those who are building projects (or trying to build):

What is the most annoying or repetitive problem you face in your daily life as a builder?

(It may be something small, but it bothers you every day.)

Currently what gives me the most work is marketing.

I'm trying to better understand the behind-the-scenes of the builder's journey.

If you can share, I’d love to hear!

I’ll start by apologizing for the title — I swear it wasn’t supposed to be one of those "you won't believe what happened when I drank vinegar and cinnamon" type of headlines (does anyone else get bombarded by those insane ads?). 😅

Two months ago, I didn’t even know what GitHub was. Today, I’ve shipped 3 real apps:

1. 🤑 WillTheyConvert
2. 💣 BoomHabits
3. 🌴 DubaiDiscoverer

They’re not perfect. They’re not profitable. But they prove ONE IMPORTANT THING: Anyone can start building.

Back then, I had zero technical skills. GitHub, npm install, APIs — all sounded like magic to me. I didn’t buy courses or join bootcamps. Instead, I watched free YouTube videos.

My first project was BoomHabits.com — just another habit tracker. But not because the world needed one more habit tracker. Not to make money. But to LEARN. To finish something real. To prove to myself: "I can." And 3 days after launch? BoomHabits had 200+ users and even got a lot of love on Fazier (#3 Product of the Week)! For someone who didn’t even know what GitHub was weeks earlier, it felt unreal. 🔥

Next, I built WillTheyConvert.com — a tool to test startup ideas before wasting time and money. Fake landing pages. Fake pricing pages. Real data on what people actually want. It was smart, simple, and useful. And in just 3 days after launch, I had 70 registered users and 20 active flows.

Finally, I returned to a project I started a long time ago but abandoned: DubaiDiscoverer. It’s a full travel guide for Dubai, built completely by myself. Recently, I gave it a full redesign, and now I’m focusing on SEO.

But here’s the thing: The point of this post isn’t to show off. It’s to remind you of one simple fact:

If someone like me — literally starting from ZERO — can build and launch 3 real apps in just 2 months... You can too.

• You just have to START. 🏁
• Don’t wait to be "ready."
• Don’t wait until you "know everything."
• Start messy. Start clueless. Start afraid.

And hey — did I waste some money along the way?

Absolutely.

I had to pay for tools like Cursor or Lovable.

Was it a "bad investment"? You could say that.

But it wasn’t a waste — because thanks to that, I gained practical skills, real knowledge, and even real connections.

Today, I chat daily with several awesome people on X — exchanging ideas, helping each other grow. 🚀

I don’t regret a thing.

If I did it, you can do it too. ✨

Hey everyone!

We are very excited to announce that you can now install Huzzler on your mobile device and receive push notifications. We have opted to use a PWA instead of a native app as we plan on shipping as many features in the coming weeks (problem / solution directory, accountability, marketing guides..).

To install the app: Simply visit the Huzzler homepage on a mobile device. A popup will appear with instructions on how to install the app. Cheers and let me know if you have any feedback 😁

Thanks!

Looking for a video recording tool that I can use to record a video showing my web app being used.

I've seen videos of screencasts where the video would zoom in when the user clicks or types on an form.

Any suggestion would be appreciated. Preferably a free tool but happy to consider paid ones as well

First 48-hour update! 🚀

Since launching WillTheyConvert.com - here’s what happened:

✅ 112 votes on fazier.com (top-voted yesterday!)

✅ 60+ signups, users created 24 tests

✅ 461 new users (Google Analytics)

✅ 1 newsletter subscriber (thank you! 💌)

✅ 6 DMs asking about the project

Huge thanks for the support and feedback! What’s next? More updates soon.

Dual monitors? Ergonomic chair? Nah.

Couch + MacBook + virtual fire = peak productivity.

Listen, I hear you. As someone whose been an active participant in the blockchain world for the last decade, I know that Web3 is be associated with scams, tokens and 15 year olds making thousands of dollars overnight.

Thats not all that web3 is. Tokens, NFTs and lambos.

Under the noise, what it really is is: a new value creation model.

As a traditional entrepreneur online you get typical four revenue models:

1. Subscriptions (SaaS)
2. Advertising
3. One off buys (content)
4. Consulting (selling hours)

Web3 provides a few more and some of them might be a bit out there, but hear me out.

In Web3 we have:

• Asset Ownership: digital ownership through NFTs and tokens, creating new revenue streams beyond advertising and subscriptions.
• Fractional Ownership: own a part of something big
• Tokenization: Convert user participation, content creation, and platform value into tradable digital assets.
• Community Ownership: Allow users to become stakeholders through governance tokens

On top of that, there are millions of users around the world who have funds available to spend, with a click using their un-custodial wallets.

Competitive Advantages

• First Mover Benefit: Makes dApps a place to leave your entrepreneurial mark because players aren't established as well as in other industries.
• Money is Already there, locked and loaded: With a rapid innovation spree you get access to millions of dollars of potential revenue in an area where dominant players are still getting established and users are lurking around so to say.
• Enhanced Trust: Transparency and immutability of blockchain reduces need for trust in platform operators. People operate million dollar businesses, or d-exchanges or Real World Assets (RWA) on chain without ever knowing the people they interact with.
• Composability: Build on existing protocols and infrastructure rather than starting from scratch. Here my biases are towards Ethereum, its practically programmable money that can be taken either direction. So many tools and examples out there - you can deploy pretty quick.

Planning Your Move

Practically I'd say the best way is to work with Hybrid Models. Integrating your Web2 solutions into Web3, or vice versa.

i can go deeper into theoretical explanations, but as a fellow enterpreneur - ain't nobody got time for that.

So instead, I'll bring out a few examples that I think are important to illustrate how it all works:

• A client of mine FX1, they gather, deliver and sell sports data and AI Analytics on that data. They launched a token, and made their token holders stake holders where they verify the data and make sure that there are no mistakes. At the same time, they get the upside into the platforms success.
• Another Model I like is Libraro - they merged the world of book publishing together with the digital ownership of blockchain, making it fraction-able and enabling many writers to get access and rewards from their work.
• tBlocks on the other hand found a good way to tokenize the real estate of Albanian coast to global investors, giving somebody lets say, in Shanghai, an opportunity to own a stake in a beachfront property development, in Albania (spoiler alert: I liked the idea so much I angel invested).
• Another startup tokenizing a fleet of rental cars in Dubai - you own a piece of the fleet, and get your paycheck of returns every month.

Now probably these use cases all raise the idea of how does this work? Well the way it works is through the power of smart contracts. Once a smart contract is programmed, audited and deployed - that means that nobody can change the logic of it. Unlike a normal application where we can push code continuously - the contract is set in stone.

That means that if I audit the content of a particular contract, and I just need a wallet to interact with it, then I trust the logic of that contract and therefore I can interact with it with a security that I wouldn't with other entities.

Thats how exchanges like Uniswap or 1inch manage millions in liquidity daily. Code is omnipotent, and our tokens are its subject.

Given those powers you can see how many avenues of entrepreneurship are available within the sphere.

What do you think? Would you be interested to dabble in Web3? Any cool ideas or applications that come to mind?

The next visionary Web3 founders will have to think first principles.

I plan to go deeper into the technical side if this resonates with a few people, on a new couple of posts. Let me know your thoughts.

I'm learning n8n and want to build some workflows that can provide real value, let me know if you have something for me.

Hi everyone, I am new to this community and I hope I will be able to be as helpful as possible.

I have vast experience starting up and scaling SaaS companies, from an founder and operator perspective as well as a consultant. I have helped companies like Dropbox, DeepL, Lambda Labs, SpaceX, and many more.

So, if I can help with any questions, problems, challenges, etc... you might be facing in your GTM strategies, do not hesitate to tag me in your post or reach out.

I am also in the very early stages of building a service (#startupidea), I'll share more about it later on.

Me and my co-founder took a few days off work.

Not for a vacation.

But for a 4-day marathon to try and finish our first SaaS.

Any tips to survive the grind?

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

Hi all,

I’m a college student trying to build my first SaaS product. I don’t have a technical background, and I can’t afford to hire developers, so I’m exploring free and low-code/no-code tools (what some people call “vibe coding”?).

Right now, I’m in the learning and planning stage. I don’t have a finished idea yet, just a strong interest in creating something real and figuring things out as I go. I’d love to hear from anyone who’s:

1. Built a SaaS without a tech background

2. Used free tools or no-code platforms to get started

3. Is currently working on a similar project

Any tips, recommended tools, lessons learned, or just general advice would mean a lot. I’m not trying to promote anything – just here to learn and connect.

Thanks in advance!