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Unpopular opinion: your first 10 users matter more than your first 100
Everyone chases signup numbers early on. i think that's backwards.10 people who actually use your product and complain about it teach you more than 100 who signed up and forgot you exist.I've got 8 paying users right now for BanaloBusiness. haven't even scaled outreach yet, just been obsessing over what those 8 actually do inside the product.Curious what others think, early on do you optimize for more users, or deeper usage from fewer?
You are invited!!
🚀 Just 4 Days Left until GeniusCook shines on Product Hunt and SaasHive!!!The countdown to August 26th is officially on, and the excitement is unreal! We have been pouring our hearts into creating an immersive culinary experience, and we can’t wait to share it with the world. 🍳✨To celebrate this milestone, we aren't just launching an app—we are launching a community.We’ve officially opened our GeniusCook Telegram Community Hub, and you’re invited to get in on the ground floor!👇 What’s waiting for you inside:Exclusive Launch Updates: Be the very first to know the exact moment we go live.The Recipe Competition: Find out how to submit your best AI-generated recipe to win a Full 1-Year Free Premium Subscription! 🏆Direct Connection: Chat with fellow foodies, share ideas, and connect directly as we build this journey together.🎯 Lock in your VIP spot for pre-launch:Drop a 🍳 in the comments if you're ready for launch day, and let's get cooking!#GeniusCook #ProductHunt #StartupLaunch #FoodTech #AIInnovation #CommunityBuilding #RecipeChallenge #BuildInPublic
"Build it and they will come" is dangerous advice
"build it and they will come" is the most dangerous startup advice for first-timers.sell it before you build it. then build.I posted an idea with zero product behind it.300+ people said yes in 72 hours. that's when i started building.Did anyone else build first and wish you'd checked demand earlier? or am i just late to this realization...
How do you promote your product?
What works for you? Here is what I do.I am building SimploMail.com, and I constantly think about what else I should do to get more people to discover it. I also think about how I can do better with the things I am already doing.Here is what I have tried so far:I updated all of my social media profiles to say that I am the founder of SimploMail.I started publicly sharing what I am doing with SimploMail on X, LinkedIn, Threads, Reddit, and here on SaaS Hive.I share both good and not-so-good results. This has also helped SimploMail get indexed by Google and AI crawlers a little.The competition in my niche is fierce, though. Right now, AI tools still cite my competitors instead of SimploMail. I hope that will start changing as I continue publishing and building an online presence.I use SimploMail in all of the projects I build as the email service provider.I send my email marketing campaigns through SimploMail, and all of my projects use it for email notifications. I also include the project logo at the bottom of emails to increase awareness.I constantly ask users for feedback, and when I get it, I try to act on it immediately.In fact, I recently posted a feedback request here on SaaS Hive: https://saashive.com/founder-community/request-feedbackI am planning to reach out to bloggers and websites that write about startups and SaaS products.I want to purchase review and comparison articles. It will cost money, but I think it can help with both SEO and GEO.That is what I am doing right now.But I am sure there are many other things I could be doing.What works for you?If you are building and promoting a product, I would love to learn from your experience. Please share what has worked for you.
I had a perfume problem. Unfortunately, I decided to solve it.
I’m Sahil from a small village in Himachal. 10 days ago, I didn’t know how web apps worked, couldn’t code. I was trying to start a perfume brand and got stuck in the same mess every new founder probably hates: suppliers, oils, bottles, packaging, pricing, legal stuff… 20 tabs open and still no idea what to do.So I came up with Banalo.BusinessThere was just one problem: my friend, who could actually build it, was busy with his own product 😭So I did the only thing I knew how to do.I started selling the idea before we even had the product. I posted about it on social media. Within 72 hours, 300+ people messaged saying they wanted it.I showed my friend. Then basically moved into his workspace until we launched. 😂2 days ago, Banalo went live.6 people have already paid ₹499.The product is still rough. I know there’s a lot to improve.But I learned something I didn’t know 10 days ago:You don’t always need the product first. Sometimes you just need to find out if people want it badly enough.Now the real fun starts.What would you build next if this was yours?Tell me what’s missing, what’s useless or what you’d completely rip apart.I’m actually listening...👀
esotericAI
AI-powered Tarot readings and astrology insights
We heard you. Here's the rebuilt FounderFlow site.
Some of you were pretty direct about the original launch — messaging that was vague, screenshots that looked like every other SaaS mockup, trial terms that were implied instead of stated. That kind of feedback stings a little to read and is exactly the kind worth taking seriously.We took a week — one to actually sit down, map out what wasn't working, and reconstruct the whole thing from the ground up.What changed on founderflowhq.ai:The homepage now says plainly what FounderFlow does — watches the business, flags what matters, protects revenue, tells you what to do next. No more vague "AI-powered platform" language.Every screenshot on the site is a real screen from the product — Priority Inbox, Daily Briefing, Revenue Intelligence, Pipeline. Zero mockups.Trial terms are stated up front: 7-day free trial, no credit card required, cancel anytime.A full security section — SOC 2 Type I, Google CASA, AES-256 encryption — laid out in detail instead of just a badge asking you to trust us.A week isn't long. But it was long enough to stop guessing and actually go point by point through what you told us.If you left feedback on the original launch, take another look: founderflowhq.ai. If something still doesn't land, say so — that's exactly what got us here.Stacy
I’ll check how visible your SaaS is in AI search
I'm looking for 10 SaaS founders who want to see how their company currently appears in AI search.Send me your SaaS domain and I'll help you test:whether your brand appears,which competitors are recommended instead,which sources are being cited,and where the biggest visibility gaps are.You don't need to prepare anything. If you want, I'll also suggest the buyer questions worth testing for your product.No sales call. No review required.In return, I only want honest feedback after you've seen the results: was the information actually useful, what was confusing, and would you want to monitor it again?If you want to be one of the first 10 tests, drop your domain below.
Building GEO Tracker AI — looking for the first SaaS founders to test it
Hi everyone, I'm Petr, founder of GEO Tracker AI.I'm building a tool that tracks how brands appear across AI search — whether they get mentioned, which competitors appear instead, and which sources AI engines cite.I'm at the very early validation stage and I'm looking for the first SaaS founders willing to put a real company through it.I'm especially interested in one question: after seeing your AI visibility, competitors, and cited sources, is the result useful enough that you'd want to monitor it over time?I'm not looking for reviews or praise. I need people who are willing to try it and tell me where the product is confusing, weak, or genuinely useful.Happy to do the same for other founders here.
Live on SaaSHive! EasySwitch — Turn any spare computer into a wireless virtual second display
Hey Hive! EasySwitch is officially live today It's a lightweight app that unifies multiple Mac, Windows, and Linux computers into a single workspace — combining KVM control, virtual extended displays, clipboard sync, and file transfer.What was hardest to get right: Optimizing the streaming pipeline to keep latency imperceptible over standard Wi-Fi while handling raw frame rendering locally, all without draining CPU or battery life.Quick question for the community: When you manage multiple computers on one desk, what's your biggest pain point — juggling keyboards/mice, physical cable clutter, or transferring files between different operating systems? Would love to hear your setup hacks!
Hey!! My name is Sharif! I am a solo developer of Real Brain, building EasySwitch
Hey Hive! I’m Sharif, a senior full-stack developer and solopreneur.What I built: EasySwitch - a lightweight, cross-platform app that turns any spare Mac, Windows, or Linux computer into a wireless virtual second display, paired with complete KVM control, clipboard sync, and file transfer.Who it's for: Software engineers, creators, and power users who work across multiple computers and want a clean multi-monitor workspace without buying extra hardware or dealing with physical display cables.Why I built it: I had spare laptops sitting on my desk doing nothing, but I couldn't find a low-latency tool to use them as extended screens without lag or third-party cloud streaming. EasySwitch runs 100% locally over LAN to ensure high performance and privacy.What's next: Fine-tuning the local streaming protocol for ultra-low frame latency and tighter OS-level display integrations.Excited to join the community and launch here today!
List of people looking for work
A lot of people are looking for work and LinkedIn is hell. Here's a list of people looking for work
GeniusCook: Your AI Culinary Assistant & Smart Meal Planner
Struggling with what to cook or trying to cut down on food waste? GeniusCook turns the ingredients you already have in your kitchen into delicious, personalized recipes instantly, while going far beyond a standard recipe app to deliver a fully immersive food experience.Key Features:Pantry-to-Plate AI: Generates tailored recipes based on your exact available ingredients.Smart Meal Planner: Automates weekly menus customized to your dietary needs and goals.Interactive Cook Mode & Bento Studio: Offers step-by-step guidance with built-in timers, alongside custom bento studio creation tools.Immersive Ecosystem: Features an integrated arcade section, skin rituals, dedicated cookbooks, and much more to blend lifestyle and culinary arts.Built to take the stress out of daily meal planning while keeping cooking fun and engaging! Check it out and let me know your thoughts!
Hey!! My name is Inna! I am a solo builder of Genius Ecosystem, the future of creative AI
Independent Entrepreneur & Full-Stack Developer building an advanced digital ecosystem at the intersection of AI, creativity, and daily lifestyle. As the sole creator behind GeniusLux AI Studio—a multi-utility creative platform—and GeniusCook, an immersive culinary journey designed to transform how people discover and interact with food, I am pioneering intuitive software that empowers creators and everyday users alike.Currently expanding the Genius ecosystem with a suite of upcoming companion applications designed to seamlessly integrate AI intelligence into productivity, fitness, and lifestyle management. Follow along as I build the future of creative AI, one app at a time.
What books would you recommend to someone building a SaaS?
I am very interested in what other founders are reading. So I thought it would be interesting to share a few recommendations here.I’ll start with mine:Rework by Jason Fried and David Heinemeier HanssonThe Diary of a CEO by Steven BartlettThese two books I would really recommend to anyone who is building a SaaS startup. There are a lot of ideas in it that made me think about building a business, making decisions, and dealing with the challenges that come with it.How about you?What is one or two books you would recommend to another SaaS founder?Share them in the comments. Maybe we can create a pretty good reading list together. 🙂
FounderFlow Is Starting to Feel Like the Product I Originally Imagined
FounderFlow Is Starting to Feel Like the Product I Originally ImaginedBuilding FounderFlow has been a constant cycle of testing, breaking things, fixing them, listening to feedback, and realizing that some of the most important improvements are not always the most visible ones.Over the past few weeks, several pieces have started coming together in a way that feels different. FounderFlow is becoming less like an AI tool that helps organize information and more like the AI Executive Chief of Staff I originally set out to build.The idea behind FounderFlow has always been simple: founders should not have to discover important things too late.A customer going quiet. A follow-up that never happened. A renewal approaching. A deal beginning to stall. An important email buried under dozens of routine messages. A commitment that was made but never completed.Those are not just productivity problems. They can become revenue problems.That is exactly why I started building FounderFlow after a missed email in one of my own businesses resulted in a lost opportunity worth $51,600 per year.One of the biggest areas of progress has been FounderFlow’s ability to separate signal from noise. The Priority Inbox continues to improve so FounderFlow can distinguish routine communication from messages that may represent a real priority, decision, follow-up, revenue opportunity, or risk.We have also spent a lot of time correcting classifications. A receipt should not suddenly become an executive priority. An automated payment confirmation should not generate an unnecessary AI reply. An unknown email should not automatically be treated like a VIP. A suspicious message should not appear among the founder’s most important priorities.Those may sound like small details, but they are critical. An Executive Chief of Staff is only useful if you can trust its judgment.Revenue Radar is also becoming a much more important part of the product. FounderFlow is being built to identify signals such as revenue at risk, opportunities developing, deals going cold, relationships that need attention, and potential revenue that may otherwise be overlooked.The goal is not to create another dashboard full of numbers. The goal is to help a founder understand what changed, why it matters, and what they should do about it.We have also made significant progress on actions. FounderFlow is moving beyond simply identifying problems and toward helping founders resolve them. The product now supports workflows around replying, scheduling, CRM updates, pipeline movement, follow-up tasks, assigning work, and closing opportunities.One area we recently improved was delegation. During testing, we discovered that some information a founder selected when assigning work, including due dates, permissions, and completion status, was being saved correctly in the backend but was not reaching the teammate’s screen properly. That has now been corrected.We also found and fixed an issue with our production health checks. The automated check that was supposed to confirm the live site was working after deployment had been silently reporting that no tests were found rather than actually performing the check.That is exactly the type of issue that reinforces why we have been investing heavily in automated testing. Our Cypress end-to-end testing has expanded significantly, with hundreds of tests now covering more of the product and helping us catch regressions before they reach users.Security has also moved forward substantially. FounderFlow has completed Google CASA verification, which was especially important because of the level of Gmail access required for the product. We have also completed our recent Socify security work.For a product that is trusted with business communication and executive-level information, security cannot be something we add later. It has to be part of the foundation.The website has also gone through a major redesign. This may sound less exciting than AI architecture, but it matters. One of the biggest lessons I have learned while building FounderFlow is that having a powerful product is not enough. People need to understand it quickly.The new website focuses much more clearly on the actual business problem: FounderFlow watches your business, identifies what matters, protects your revenue, and tells you what to do next.We are also showing more of the real application rather than asking visitors to imagine what the product does.The positioning is becoming clearer too. FounderFlow is not trying to replace Gmail. It is not trying to replace HubSpot. And it is not trying to replace ChatGPT.Those tools each serve a purpose. FounderFlow is designed to sit above the tools a founder already uses and provide an executive intelligence layer across them.Gmail gives you communication. HubSpot gives you CRM information. ChatGPT helps when you ask it something. FounderFlow is designed to identify the things you may not realize you need to ask about.That difference is becoming clearer with every iteration.We are still building. There are still workflows to improve, classifications to refine, integrations to expand, and plenty of things we want FounderFlow to eventually do.But this stage feels important because the individual pieces are beginning to connect.Priority Inbox, Daily Briefing, Revenue Radar, Relationship Intelligence, Executive Memory, Pipeline intelligence, actions, delegation, confidence, and evidence are beginning to work together as one system rather than a collection of features.That is when FounderFlow starts becoming an actual Executive Chief of Staff.And that is the product I have been trying to build from the beginning.FounderFlow currently offers a free 7-day trial with no credit card required.You can explore it at https://founderflowhq.aiI would especially love feedback from founders who constantly feel like there is something happening somewhere in their business that they are supposed to know about.Because that is the problem we are trying to solve.Stop finding out too late.
I’m intentionally making Crazy Sajangnim show you less
A lot of shopping products are built around the same idea: more products, more stores, more recommendations, more things to scroll through.While building Crazy Sajangnim, I’ve started thinking in almost the opposite direction.One of the constraints I gave myself from the beginning was that the shopping side should focus on items that are actually on sale. Not a giant designer-fashion catalog where you have to dig through hundreds of full-price products before finding something interesting.That sounds like a small product decision, but it has affected almost everything I’m building.Crazy Sajangnim currently brings together discounted designer fashion from Korean and U.S. retailers and lets you narrow it down by market, brand, and category. The goal isn’t to become another endless fashion marketplace. I want opening the site to feel more like:“What is actually worth looking at today?”I’m a fashion enthusiast myself, and I realized that when I check multiple stores, I’m rarely browsing every product they carry. I’m usually looking for the interesting overlap between:a brand I already like + a meaningful discount + something I would genuinely consider wearing.So instead of optimizing for the size of the catalog, I’ve been thinking more about the signal-to-noise ratio.The social side of Crazy Sajangnim fits into that idea too. Once you find something interesting, the next problem isn’t discovery anymore. It’s deciding whether it deserves your money.That’s where the community comes in: sharing a find, asking what other people think, talking about styling or fit, and occasionally having someone tell you, “No. Do not spend $600 on that.” 😂There are still a lot of things I want to improve, especially around how products are collected, how quickly new sales appear, and how useful the browsing experience feels as the number of supported brands grows.But one product principle I’m becoming increasingly convinced about is:A shopping platform doesn’t necessarily become more useful by giving people more things to buy. Sometimes the better product is the one that removes everything that isn’t worth considering.That’s the direction I’m experimenting with for Crazy Sajangnim.If you shop online often, I’d be curious about one thing:Would you rather use a fashion site with a massive catalog, or a much smaller feed that aggressively filters for things that are actually worth checking out?https://saashive.com/view-product/8fc6144e-8f3c-40b0-87d2-a788f8af885a
Digital Legacy Vault
Zero-Knowledge digital vault with automated, trust-based asset release.
I’m looking for honest feedback on Crazy Sajangnim 👀
Hi SaaS Hive! I’m continuing to build Crazy Sajangnim, a fashion discovery and co-shopping platform focused on discounted designer fashion from Korean and U.S. retailers.The idea started from a problem I kept having myself: finding something I liked was easy, but deciding whether I should actually buy it was much harder. Is the price really good? Is there a better deal somewhere else? Will I actually wear it? Is the quality worth it?Crazy Sajangnim is my attempt to make that decision more social. You can browse sale items by brand, market, and category, then use the community blog to share finds, ask “should I buy this?”, discuss fit and styling, and get opinions from other people who genuinely enjoy fashion.I’m still early, so honest feedback would be extremely useful right now. If you have a few minutes to try it, I’d especially love to know:Is it immediately clear what Crazy Sajangnim is for?Does browsing the sale products feel useful or overwhelming?Would you actually use the community/blog before buying something expensive?What would make you come back regularly instead of visiting once?Is there anything confusing, unnecessary, or missing?At what point, if any, do you feel like leaving the site?You can sign in quickly with Google and try the community features as wellPlease don’t worry about being overly positive. At this stage, hearing “I wouldn’t use this because…” is probably more valuable to me than hearing that everything looks good.If you test it, I’d really appreciate hearing what stood out to you and what you think I should improve next.https://saashive.com/founder-community/request-feedback/afe23890-c84f-437a-b4d5-25d72a704777
How many users does it take to validate a product?
I recently invited people to test one of my products.About 50 people responded. But when I followed up, I found out that almost nobody had actually tested it.Some people were away or busy. Some did not reply. A few said that the product looked good, but they did not have enough time to test it properly.So now I am thinking that I should wait with promotion and ask more people to actually test the product.Waiting is hard, though 😐.I was thinking that if I get proper feedback from at least 10 people who actually tried using the product, that might be enough for me to start promoting it.But what is your number?How many users do you want to tell you that your product is good enough to go?
What our Reddit debt-planning research taught us while building MyDebtLens
I know this isn’t a technical update, but I thought it might be of personal interest to some here.We’ve just published some original research behind MyDebtLens looking at when people start seeking help with debt and, more importantly, what they’re actually trying to decide.We started with a random sample of 2000 r/personalfinance submissions. An estimated 15.3%, roughly 1 in 6 or 7, concerned planning or managing existing debt. That describes the Reddit sample, not Americans or households generally.We also reviewed separate cohorts from r/personalfinance, r/Debt and r/debtfree.What I found more interesting than the headline number was the range of decisions people were working through: whether to use savings, consolidate or refinance, which debt to pay first, how to deal with cash-flow pressure, what to do with a windfall, and how to adjust when circumstances change.It reinforced one of the ideas behind MyDebtLens: debt payoff planning makes more sense when debts are considered alongside the rest of someone’s monthly financial life, rather than as balances and interest rates in isolation.The full research, methodology and limitations are now published on MyDebtLens, but since external links aren’t available on my SaaS Hive plan, I thought I’d share the main takeaway here.
Hello Hive
Just wanted to drop in and say that i just submitted Coin Error Expert to DevPost build with Gemini Xprize, The Submission deadline is August 17th at 4PM EST, after that the submissions become public if anyone wanted to jump on there then and leave me a like or a comment that would be great.
Hi Hive
Hello Hive,I’m a doctor, hospital CEO, and I currently work at the intersection of AI, healthcare, clinical intelligence, and education.Happy to be here.A lot of my work is about collaborating with AI to support clinical decision-making. Not to replace doctors, but to help organize information, track patient trajectories over time, spot emerging risks earlier, and support differential diagnosis when the picture is not yet clear.I’m especially interested in the clinical trajectory algorithm, where I believe doctors should now be able to stop patient deterioration. I’m still learning a lot as I go.I joined this community to share what I’m building and learning, exchange ideas with people from different backgrounds, and document the process honestly, including the parts I get wrong along the way.Less hype. More real-world utility. Keep humans in the loop.
Nudge
You did the work. Now get paid for it.
ParkSpot — a parking app that tells you when a spot just became legal, not just where the cheap meters are
I built this because my wife kept getting stressed hunting for legal parking in Stockholm, and the idea just kept growing from there.ParkSpot shows two things on a live map: Nu (what's legal right now) and Natt (what's safe until tomorrow morning) — pulled straight from Stockholm's open data on street cleaning schedules and parking restrictions, no manual curation.A few things I haven't seen other parking apps do:Streets that just finished their cleaning get a distinct highlight — genuinely freshly-legal spots, not just "technically not illegal."Tap a result and it hands off straight to Google Maps for driving directions — most apps stop at "here's a legal spot" and leave you to figure out the rest.No login, no ads, free.What I'm actually trying to figure out right now isn't the business model — it's whether this solves a problem worth solving. Stockholm has started using AI-equipped scan cars checking something like 5,000 parked cars an hour for violations, and it makes me wonder if a tool like this could mean fewer fines for drivers and less enforcement load for the city, not just a convenience feature.Parkspot Stockholm— no signup needed to try it. Curious what people here think, especially if you've built anything that has to compete with "just wing it" as the default behavior. Note: it only covers Stockholm, Sweden right now — if you're testing from elsewhere, zoom/pan the map to Stockholm first to see it actually working.
Everyone points AI at the CV. Why does nobody point it at the decision to apply?
I logged 47 of my own applications and checked them afterwards. Where I met the core requirement of the role I converted at 71%. Where I was stretching, 8%. My confidence score at the point of applying predicted nothing at all.That was not a writing problem. I had been using AI at the last step, polishing the CV, when the expensive mistake happened one step earlier, choosing the role. And nothing I was paying for could have told me, because none of it held my history.3 things I would like to hear from this room, whether you have job hunted recently or you are on the hiring side:What stayed manual for you? Not what was annoying, what you actually did by hand every single time.Where did you give up? Most people I ask say the tracker, around week 3.Have you ever pointed AI at the decision rather than the output? Triage before you apply, or a retro afterwards on what came back.I launched WorkstationAI here today. It tailors CVs like everything else does, but the part I built it for is the log, the triage and the retrospective, so I am genuinely trying to find out whether that loop matters to anyone but me.
Every job tool stops when you hit send. Mine keeps going.
WorkstationAI is live on SaaS Hive today. It is not a CV builder, so let me start with the part that is actually different.Your applications log themselves. Every job ad you score and every CV you tailor writes its own record. You never fill in a tracker, because that is where every tracker dies by week 3. You add one thing: what happened. Declined, interview, offer.Then you find out why. A role goes quiet after a tailored CV, you run the triage on that one application: was it a fit gap, a writing problem, or just noise? Not everything is a lesson, and knowing which is which saves you rewriting a CV that was never the issue. That runs from your first decline, no history needed.Then you see the pattern. Once 8 outcomes are logged, run the retrospective across your whole search. Which roles you actually convert. What the ones that said no had in common. Whether your own judgement at the point of applying is worth anything.A deliberate constraint on that last one: the retrospective will not run below 8 records. It tells you it does not have enough yet. A conversion rate off 3 applications is a number, not a finding, and a tool that guesses early and gets it wrong once never gets trusted again.Why I built it: I ran that retro by hand on my own 47 applications. Where I met the core requirement of the role I converted at 71%. Where I was stretching, 8%. My own confidence score at the point of applying predicted nothing at all. Months aimed at the wrong half of the market, and no tool I was paying for could have told me, because none of them held my history.The rest of the workspace is what feeds the log. Paste a job ad and a free check scores it A to F and flags scams and ghost jobs. If it scores well, tailor your CV to it, research the company, and build prep dashboards for the recruiter screen and the hiring manager round. Every one of those runs lands in your log on its own.Free to start: the job ad check, your first CV analysis, your first tailor, and the whole log, triage and retrospective. Paid items are £8 to £35, pay per use, no subscription. SAASHIVE takes 20% off any paid item until 30 September.Product page: https://saashive.com/view-product/0d98cde4-3925-4c55-90ac-77b3ca7f1e71Two asks:If you try it, an honest review. Honest, not kind. A 3 with a real reason is worth more to me than a 5.The one thing I still want to know is whether the retrospective tells you something you did not already suspect. That is the whole bet.Thanks to everyone who answered my positioning question last week. Happy to review your page in return, just point me at it.Li You
Shopping online is better when someone can talk you out of it
I built Crazy Sajangnim because finding a great sale is only half the experience. Sometimes you also need someone to say, “Buy it,” “Wait for a better price,” or “You already own something exactly like that.”Crazy Sajangnim brings designer fashion sales from Korean and U.S. retailers into one place, then adds a community blog where shoppers can share finds, discuss purchases, exchange styling ideas, and recreate the feeling of shopping with friends online.I’d love for you to try the actual experience:👉saashive.com/products/crazy-sajangnimSign in with Google, browse the sale listings, and explore the community features. Then tell me honestly:What made you hesitate before signing up?Was anything confusing after you entered?Where did you lose interest or feel stuck?What would make you return?Comments, candid feedback, and upvotes are much appreciated—they help me understand what to improve and introduce Crazy Sajangnim to more shoppers. Thank you!
Please try Crazy Sajangnim—and tell me where you stop
Hi everyone! I’m looking for honest, experience-based feedback on Crazy Sajangnim, my fashion-sale discovery and co-shopping platform.Rather than reviewing the idea from the description alone, I would really appreciate it if you could visit the website, try signing in with Google, browse the sale listings, and explore the community blog:saashive.com/products/crazy-sajangnimPlease be direct about anything that makes you hesitate, become confused, or leave. In particular:What, if anything, blocks you from signing up?After signing in, is it clear what you should do first?At what point would you stop using the website, and why?What would need to change for you to return or recommend it?Feedback about trust, Google sign-in, navigation, product selection, loading speed, mobile usability, or the co-shopping experience is all welcome. Even a short comment such as “I stopped on this page because…” would be genuinely useful.I’m especially interested in discovering the friction I may no longer notice as the person who built the product. Thank you to anyone willing to test it and share an honest reaction!
SuperBased
Think Wispr Flow-style dictation + AI-powered screen capture in one tool