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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.
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 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)
Hey guys I'm almost done building my new saas and would love some feedback on it
- 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.
Scalability in microservices architecture isn’t just a trend—it’s a lifeline for modern software systems operating in unpredictable, high-demand environments. From streaming platforms handling millions of concurrent users to fintech apps responding to real-time transactions, scaling right means surviving and thriving.
As a software product engineering service provider, we’ve witnessed how startups and enterprises unlock growth with a scalable system architecture from day 1. It ensures performance under pressure, seamless deployment, and resilience against system-wide failures.
And as 2025 brings faster digital transformation, knowing how to scale smartly isn’t just beneficial—it’s vital.
Why Scalability in Microservices Architecture Is a Game-Changer
Picture this: your product’s user base doubles overnight. Traffic spikes. Transactions shoot up. What happens?
If you're relying on a traditional monolithic architecture, the entire system is under stress. But with microservices, you’re only scaling what needs to be scaled!
That’s the real power of understanding database scalability in microservices architecture. You’re not just improving technical performance, you’re gaining business agility!
Here’s what that looks like for you in practice:
- Targeted Scaling: If your search service is flooded with requests, scale that single microservice without touching the rest!
- Fail-Safe Systems: A failure in your payment gateway won’t crash the whole platform—it’s isolated.
- Faster Deployments: Teams can work on individual services independently and release updates without bottlenecks.
📊 Statistics to Know:
According to a 2024 Statista report, 87% of companies embracing microservices list scalability as the #1 reason for adoption—even ahead of speed or modularity. Clearly, modern tech teams know that growth means being ready.
Scalability in microservices architecture ensures you’re ready—not just for today’s demand but for tomorrow’s expansion.
But here’s the catch: achieving that kind of flexibility doesn’t happen by chance!
You need the right systems, tools, and practices in place to make scalability effortless. That’s where staying updated with current trends becomes your competitive edge!
Core Principles that Drive Scalability in Microservices Architecture
Understanding the core fundamentals helps in leveraging the best practices for scalable system architecture. So, before you jump into trends, it's essential to understand the principles that enable true scalability.
Without these foundations, even the most hyped system scalability tools and patterns won’t get you far in digital business!
1. Service Independence
It's essential for each microservice to operate in isolation. Decoupling allows you to scale, deploy, and debug individual services without impacting the whole system.
2. Elastic Infrastructure
Your system must incorporate efficient flexibility with demand. Auto-scaling and container orchestration (like Kubernetes) are vital to support traffic surges without overprovisioning.
3. Smart Data Handling
Scaling isn’t just compute—it’s efficient and smart data processing. Partitioning, replication, and eventual consistency ensure your data layer doesn’t become the bottleneck.
4. Observability First
Monitoring, logging, and tracing must be built in within every system to be highly scalable. Without visibility, scaling becomes reactive instead of strategic.
5. Built-in Resilience
Your services must fail gracefully, if its is destined to. Circuit breakers, retries, and redundancy aren’t extras—they’re essentials at scale.
These principles aren’t optional—they’re the baseline for every modern system architecture. Now you’re ready to explore the trends transforming how teams scale microservices in 2025!
Top Trends for Scalability in Microservices Architecture in 2025
As microservices continue to evolve, the focus on scalability has shifted from simply adding more instances to adopting intelligent, predictive, and autonomous scaling strategies. In 2025, the game is no longer about being cloud-native—it’s about scaling smartly!
Here are the trends that are redefining how you should approach scalability in microservices architecture.
🔹 1. Event-Driven Architecture—The New Default
Synchronous APIs once ruled microservices communication. Today, they’re a bottleneck. Event-driven systems using Kafka, NATS, or RabbitMQ are now essential for high-performance scaling.
With asynchronous communication:
- Services don’t wait on each other, reducing latency.
- You unlock horizontal scalability without database contention.
- Failures become less contagious due to loose coupling.
By 2025, over 65% of cloud-native applications are expected to use event-driven approaches to handle extreme user loads efficiently. If you want to decouple scaling from system-wide dependencies, this is no longer optional—it’s foundational.
🔹 2. Service Mesh for Observability, Security, & Traffic Control
Managing service-to-service communication becomes complex during system scaling. That’s where service mesh solutions like Istio, Linkerd, and Consul step in.
They enable:
- Fine-grained traffic control (A/B testing, canary releases)
- Built-in security through mTLS
- Zero-instrumentation observability
A service mesh is more than just a networking tool. It acts like the operating system of your microservices, ensuring visibility, governance, and security as you scale your system. According to CNCF's 2024 report, Istio adoption increased by 80% year-over-year among enterprises with 50+ microservices in production.
🔹 3. Kubernetes Goes Fully Autonomous with KEDA & VPA
Though Kubernetes is the gold standard for orchestrating containers, managing its scaling configurations manually can be a tedious job. That’s where KEDA (Kubernetes Event-Driven Autoscaling) and VPA (Vertical Pod Autoscaler) are stepping in.
These tools monitor event sources (queues, databases, API calls) and adjust your workloads in real time, ensuring that compute and memory resources always align with demand. The concept of the best software for automated scalability management say that automation isn't just helpful—it’s becoming essential for lean DevOps teams.
🔹 4. Edge Computing Starts to Influence Microservices Design
As latency-sensitive applications (like real-time analytics, AR/VR, or video processing) become more common, we’re seeing a shift toward edge-deployable microservices!
Scaling at the edge reduces the load on central clusters and enables ultra-fast user experiences by processing closer to the source. By the end of 2025, nearly 40% of enterprise applications are expected to deploy at least part of their stack on edge nodes.
🔹 5. AI-Powered Scaling Decisions
AI-driven autoscaling based on the traditional metrics ensures a more predictive approach. Digital platforms are now learning from historical traffic metrics, usage patterns, error rates, and system load to:
- Predict spikes before they happen
- Allocate resources preemptively
- Reduce both downtime and cost
Think: Machine learning meets Kubernetes HPA—helping your system scale before users feel the lag. Great!
Modern Database Solutions for High-Traffic Microservices
Data is the bloodstream of your system/application. Every user interaction, transaction, or API response relies on consistent, fast, and reliable access to data. In a microservices environment, things get exponentially more complex as you scale, as each service may need its separate database or shared access to a data source.
This is why your choice of database—and how you architect it—is a non-negotiable pillar in the system scaling strategy. You're not just selecting a tool; you're committing to a system that must support distributed workloads, global availability, real-time access, and failure recovery!
Modern database systems must support:
- Elastic growth without manual intervention
- Multi-region deployment to reduce latency and serve global traffic
- High availability and automatic failover
- Consistency trade-offs depending on workload (CAP theorem realities)
- Support for eventual consistency, sharding, and replication in distributed environments
Now, let’s explore some of the top database solutions for handling high traffic—
MongoDB
- Schema-less, horizontally scalable, and ideal for rapid development with flexible data models.
- Built-in sharding and replication make it a go-to for user-centric platforms.
Cassandra
- Distributed by design, Cassandra is engineered for write-heavy applications.
- Its peer-to-peer architecture ensures zero downtime and linear scalability.
Redis (In-Memory Cache/DB)
- Blazing-fast key-value store used for caching, session management, and real-time analytics.
- Integrates well with primary databases to reduce latency.
CockroachDB
- A distributed SQL database that survives node failures with no manual intervention.
- Great for applications needing strong consistency and horizontal scale.
YugabyteDB
Compatible with PostgreSQL, it offers global distribution, automatic failover, and multi-region writes—ideal for SaaS products operating across continents.
PostgreSQL + Citus
Citus transforms PostgreSQL into a horizontally scalable, distributed database—helpful for handling large analytical workloads with SQL familiarity.
Amazon Aurora
- A managed, high-throughput version of MySQL and PostgreSQL with auto-scaling capabilities.
- Perfect for cloud-native microservices with relational needs.
Google Cloud Spanner
- Combines SQL semantics with global horizontal scaling.
- Offers strong consistency and uptime guarantees—ideal for mission-critical financial systems.
Vitess
Used by YouTube, Vitess runs MySQL underneath but enables sharding and horizontal scalability at a massive scale—well-suited for read-heavy architectures.
Bottomline
Scaling a modern digital product requires more than just technical upgrades—it demands architectural maturity. Scalability in microservices architecture is built on clear principles of—
- service independence,
- data resilience,
- automated infrastructure, and
- real-time observability.
Microservices empower teams to scale components independently, deploy faster, and maintain stability under pressure. The result—Faster time to market, better fault isolation, and infrastructure that adjusts dynamically with demand.
What truly validates this approach are the countless case studies on successful product scaling from tech companies that prioritized scalability as a core design goal. From global SaaS platforms to mobile-first startups, the trend is clear—organizations that invest early in scalable microservices foundations consistently outperform those who patch their systems later.
FAQs
1. What is scalability in microservices architecture?
Scalability in microservices architecture refers to the ability of individual services within a system to scale independently based on workload. This allows you to optimize resource usage, reduce downtime, and ensure responsiveness during high-traffic conditions. It enables your application to adapt dynamically to user demand without overburdening the entire system.
2. Why are databases critical in scalable architectures?
A scalable system is only as strong as its data layer. If your services scale but your database can't handle distributed loads, your entire application can face performance bottlenecks. Scalable databases offer features like replication, sharding, caching, and automated failover to maintain performance under pressure.
3. What are the best practices for automated scalability?
Automated scalability involves using tools like Kubernetes HPA, KEDA, and VPA to auto-adjust resources based on real-time metrics. Best practices also include decoupling services, setting scaling thresholds, and implementing observability tools like Prometheus and Grafana. We just disclosed them all in the blog above!
4. Are there real-world case studies on successful product scaling?
Yes, many leading companies have adopted microservices and achieved remarkable scalability. For instance, Netflix, Amazon, and Uber are known for leveraging microservices to scale specific features independently. At Acquaint Softtech, we’ve also delivered tailored solutions backed by case studies on successful product scaling for startups and enterprises alike. Get in touch with our software expert to know more!
Source :
You don’t need to be a genius. You just need to be relentless.
Here’s the no-BS way to get your first 100 users:
- Launch everywhere. Product Hunt, DevHunt, BetaList, Peerlist, AppSumo, Indie Hackers, Dailypings, etc. If it allows you to list your product—LIST IT.
- Post on socials like your life depends on it. One post won’t do sh*t. Do it 100 days in a row. Copy what went viral. Tweak. Repeat.
- Stalk your competitors. See where they’re listed. Submit your product there. Manually. Or use a tool. Just do it.
- AI + SEO = free traffic. Spin up blog posts with ChatGPT. 50 solid ones can move mountains. Get that domain rating to 15+.
- Run some damn ads. X, Google, Facebook... even Bing. Optimize it once, then let it run.
- Cold DMs / replies. Find your people. Be short. Be real. Be helpful. 1 sentence pitch. No spam.
This is how the internet is won. No secret. Just consistent, boring work. And boom—100 users. Then 1000
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!
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!
Hey Huzzlers,
I'm building Threddr - a tool to make it easy to find Reddit posts where people are already asking for the kind of product you're building.
Right now, it’s way harder than it should be to connect with real users who actually want what you're making.
I'm solving that by helping you discover the right posts fast - no guessing, no wasting time.
The core idea is live, and I'm refining the final flow — would love your thoughts:
- What would make a tool like this a daily habit for you?
- Anything you'd hate if it showed up in the results?
- Anything you think must be there?
Waitlist is open if you’re curious: https://threddr.com 🚀
Open to all thoughts — brutal or brilliant. 🙏
I've recently launched Walker, (https://callwalker.net) a connection assistant for students @ business schools. Currently invite/referral-only to ensure the quality of connections. The bill would also be pretty high if it wasn't.
I've been reaching out to college students at business schools in my network to see if they'd be interested in trying it out. ~20% respond, even less actually use it.
My problem - how do you get people to join a networking app with no network on it?
It seems to be a pretty common problem among marketplace-like startups. ~A year ago, I launched a parking marketplace app that did pretty poorly. I'd say the main issue was trying to find renters on an app with no users & vice versa. Could never convince either party to use the app.
I think Walker is a pretty cool product. The feedback from initial users is the best of anything I've launched so far. After a decent-sized network of high-quality contacts, I'm sure growth will be much more sustainable. Just not sure how to get early students interested in joining.
Any thoughts or experience with this? Could social media be the move?
- 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.
This past weekend I studied a successful builder of directories named Frey Chu. He doesn't shill for get rich schemes.
He went over a few directories that are quite lucrative -- see the attached images.
Ultimately, what they all have in common is a rich content graph also known as a knowledge graph.
Here's a video, where I explain the terminology and methodology you need to get started.
In summary it's this.
- You need to build a website that people want to visit and stay in.
- Use a tool such as ChatGPT to brainstorm.
- Make the damn directory; here's a tutorial, where I show you how I made one with Lovable.
I got into more detail here.
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!
Hi everyone!
I'm offering a "pay-what-you-want" Figma design service to help founders bring their ideas to life.
Whether you want to visualise your idea to help with MVP planning, presenting to investors or validating the idea with potential users - I can create polished, professional mockups for you in Figma. You can then use these in landing pages, slide decks or posts to help convey your vision.
✅ Perfect for early MVPs, startup concepts, side projects, or even just landing pages.
✅ No upfront cost. You only pay if you're happy with the final design - and you decide how much.
✅ Already have a MVP? I can help improve the design of it.
Why "Pay-What-You-Want?"
I'm just starting out offering my Figma design services professionally, and looking for projects to help build up my portfolio. If you're interested in the kinds of designs I could make, check out a project I'm working on at the moment here that I did the design for: kanbankanban.com
If you're interested, please DM me with:
- A description of your idea/project
- What you would like designed (landing page, app screens, etc.)
Happy to jump on a quick call too if you prefer!
Depending on interest, I'll only be able to take on only a few projects right now - so the earlier you reach out, the faster I'll review and get started.
Thanks for reading!
(@admin - not sure if this is right place to post this, so please feel free to remove if against content policy!)
Hey fellow Huzzlers,
Hope you had a great weekend!
Last week, I had the chance to speak with several early-stage AI entrepreneurs. And two big Pains kept coming up for them:
- Getting first paying customers (fast)
- Getting accepted into a top-tier accelerator (YC apps are closing soon!)
After reflecting on the conversations, I realised both challenges share one core need:
A solid Go-To-Market (GTM) strategy.
Now, a bit about me:
In my “day job,” I create GTM strategies for VC/PE-backed companies (>$20M ARR). I typically charge $10K+ per plan, tailored to each client’s market, customer data, and goals.
Over the last 3 years, I've done this for nearly 100 companies, seeing firsthand what truly drives revenue growth.
This got me thinking:
Could I leverage AI to make top-level GTM strategies available to early-stage founders for $100?
I spent the weekend fine-tuning an agent that creates robust, founder-ready GTM plans specifically for AI-native startups.
Now, I need your brutally honest feedback.
Here's what the current iteration of the report includes:
- 1. Executive Summary: Key GTM recommendations, previewed at a glance
- 2. Startup Summary: Pain you're solving, your stakeholders, and your core value prop
- 3. Go-To-Market Foundations
- - Strategic insights tailored to the market you are tackling, things to keep in mind (e.g, how to create a moat, how to make sure you are after a $1B idea, etc...)
- - Who your Ideal Customer should be and why
- - Ideas of the most effective features you should build in your MVP and Why
- - Recommendations of different packages and their price, and reasons why they would be effective
- - Step by step process on how to get your first customers. Including how to get to talk to your first 10-20 stakeholders to get feedback on your idea. It includes email templates, LinkedIn message templates, Outbound sequence templates, how to do research on the stakeholders, AND how to navigate the conversation with them (including examples of questions to ask to validate your idea, as well as how to ask for referrals to keep the conversation going)
- 4. Accelerator Application
- - Nuances to keep in mind when applying and/or for interviews
- - How to leverage this GTM plan to come across as an expert in your field and in growing startup revenue
- 5. Parting Words: A dose of encouragement (because this journey is f*cking hard!)
Right now, I’m offering this report in exchange for detailed feedback.
If you’re interested, please comment below with:
* What would make you pay $10K (let's imagine you have the budget) to a consultant/business coach/course?
* Your startup’s URL (it’s ok if you don’t have one, simply provide details about your startup idea)
* Any additional information you want the agent to know (you can be as detailed as you like
* Where I can send the PDF (email, LinkedIn profile, Reddit handle, or somewhere else is convenient)
Thanks for reading this far 🙏
I hope I can help you sharpen your GTM plan, get those precious first customers, and maybe even get you accepted at YC!
Hey guys! I am looking to get brutally honest feedbacks on my SaaS. I have built a tool to help teachers save hours on grading essays. Here's the link -> AI Essay Grader
Thanks! 🙏
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.
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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 just launched my first SaaS and would really appreciate your feedback.
A bit of context:
Over the past two months, I’ve been working on a project inspired by my own needs as a Reddit user. My goal was to bring together various existing tools into a more accessible and practical solution.
Features available:
- Schedule and post at the optimal times
- Track and analyze peak activity from active users across subreddits
- Manage your scheduled posts with a daily, weekly, or monthly calendar (you can disable or update them)
- Add (and group them with tags) users to uncover pains, desires, headlines, alternatives they seek, and their most engaged subreddits.
Here are some features I have in mind:
- Automatic posts every X days
- Launch an app for iOS/Android
- Post in multiple subreddits at the same time
- Bag of Words for subreddits (similar to trends, but more specific, as it would show relevant words for each specific subreddit)
landpage: https://postdit.com
I’d really appreciate any feedback! 🙌
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!
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).
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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:
- 🤑 WillTheyConvert
- 💣 BoomHabits
- 🌴 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. ✨
Making a playlist on the usage of color as an integral component in design.
Just to drill in the importance consider this.
UPS and the Brown Branding Backfire
UPS chose brown in 1916 to convey reliability and hide dirt—earning the nickname "Big Brown" in the U.S.
But abroad, the color clashed with local contexts: in Spain, brown trucks evoked hearses; in Germany, brown uniforms recalled Nazi "Brownshirts."
A reminder that even color can carry unexpected meaning across cultures.
Here's the video where I dive deeper.
Also, here's a more detailed blog post.
Frank – a CLI that generates commit messages and mocks your code with surgical sarcasm
I'm a developer, and if there's one thing that makes me procrastinate and that I hate, it's writing commit messages. Especially when the code is a mess and I can't even explain what happened.
With that in mind, I'm creating Frank, a command-line bot that:
- Generates plausible commit messages (based on changes in your code)
- And also comments on your code with sharp humor, like "I'm tired of your mess".
The target audience is devs (mainly backends and fullstacks) who:
- Live in the terminal
- Are too lazy to write decent commits
- Hate “cute” assistants who treat everything like a productivity spa
- Like sarcasm and are self-critical enough to laugh at their own code
The goal isn't to automate everything or pretend that committing is fun.
It's just to lighten the boring task with a dose of sarcasm and make your Git history less embarrassing.
I'm validating the idea and would love to hear what you think:
- Would this be useful in your day-to-day life?
- What kind of dev do you think would use this all the time?
- Do you have any suggestions for sarcastic comments for Frank?
Have you ever had a headache with a poorly done commit that you don't even understand later? Like: fix: things
> …but no one knows what things are — not even you.
Hey everyone! Today, OpenAI released their new images API. I couldn't find any good tools to generate Studio Ghibli style images so I've added it to Huzzler. Each member on Huzzler has been grated 2 free credits to generate images.
We use the highest-quality setting to generate the best possible images with OpenAI and the results are amazing.
Check it out: Huzzler Image AI 😁
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
- List every fact about what you are selling
- Transform those facts into benefits
- Make the best offer you can from those benefits
Learned this today in this awesome article:
https://www.thegaryhalbertletter.com/newsletters/zgkl_best_copywriter.htm
- Go to the Forum section on PH. It's a newly relaunched feature and a great way to connect with the PH community. Now head to the "Introduce Yourself" topic and introduce yourself to the community.
- Next, explore the General topic. Scroll through posts that are trending to get a feel for what kind of content works well. You can start participating in posts to connect with community members, you can use recent comment page to access the active conversation.
- Now write a post that’s actually helpful to the PH community. Every post needs a topic. Pick the one that fits best so others can find and join in. If you're unsure, use General. Example: I shared a post on how to format text in PH Forum posts (bold, links, lists, etc.) in the initial days of the forum launch.
- After posting, your submission goes into review. It may take some time to be approved. If it’s self-promotional or not useful to the community, it’ll get rejected.Don’t be discouraged if a few posts get deleted. That’s part of the game. So before posting, just go through the forum guidelines once. You can access that here: https://help.producthunt.com/en/articles/10478791-product-hunt-forum-guidelines
- Once your post is approved, you’ll get an email + a PH notification. That’s your cue to start engaging with people commenting your post, just like you do for your product launch.
- If your post gets early traction (like 10+ upvotes or comments), it may hit the trending section of the Forum. That’s HUGE because trending posts appear on the PH homepage. Having followers helps (they’ll get notified about your post), but it’s not necessary. I had just 100+ followers and still got 2 posts featured on the homepage. Your post will stay there until another trending post performs better or a good new post comes in.
✨Bonus Tip 1: PH is quietly testing a Founder Stories section. So if your product lands in the Top 5 of the day, you might get your journey featured in the Maker's Corner. More details here: https://producthunt.com/p/general/voted-top-5-product-of-the-day-win-a-chance-to-be-featured-in-our-new-maker-s-corner
✨Bonus Tip 2: If you have recently added new feature or update that you want to share with the PH community. You can start a thread for your product in the forum as well.
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!
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!