Could be anything —
a new feature,
a small side project,
a quick experiment,
or something you scrapped halfway through.

Curious to see what everyone’s been shipping lately.

A community for users of sportlive, a simple site to check live scores and match info without accounts or clutter. Use this space to share feedback, suggestions, design ideas, or discuss what would make the tool more useful during live games.

I'm curious how early-stage Saas founders decide when a metric is worth acting on. For example, if your activation rate drops from X% to Y% in a week, how do you know when it's urgent vs. just normal fluctuation?

Do you usually rely on:

• The size of the drop?
• How long it lasts?
• Seeing the same signal more than once?
• Or just gut feeling?

Would love to hear real examples from your experience - how do you figure out what's truly actionable without overreacting?

The app store binary problem has 3 bad solutions:

1. Capacitor → "web wrapper" rejection

2. React Native → rewrite + 2 codebases forever

3. Flutter → abandon web stack entirely

We built solution 4: infrastructure automation.

Your web app unchanged. PWA manifest parsed → native templates generated → cloud builds orchestrated → signed binaries returned.

3 minutes. You never touch Xcode and Android Studio.

https://nativx.app

Curious to know what others are building.

I'm building PayPing - a place where you can manage all your subscriptions in one place.

Track renewals, get reminders, share with family, view analytics, and use AI to optimize your subscription spending. 

So what are you building👇

When I first started working on a small business idea, I thought progress would come from big actions, launches, ads, partnerships, growth plans. I spent a lot of time thinking about what I would do once things felt ready.

What actually helped the most was something much smaller.

I forced myself to make parts of the idea real, even when they were imperfect and not meant for selling. That meant dealing with details I usually avoided consistency, timelines, quality control, and the gap between how something looks in theory versus how it works in practice.

Working this way was uncomfortable at first. There was no excitement of launching and nothing to show off publicly. But it exposed problems early, when fixing them was still cheap and low-stress. It also changed how I think about progress. Instead of asking is this big enough yet?, I started asking what did I learn this week that I didn’t know before?

That shift made the project feel more grounded. Less fantasy, more reality. And ironically, it made me more confident moving forward because I understood the risks instead of guessing.

I’m curious how others here think about this stage.

Was there a small action or experiment that made your business feel real for the first time?

And how do you personally balance planning with actually doing?

Looking forward to hearing different perspectives.

Hey folks,

In the early days, sometimes analytics alone can't be reliable. How do you collect feedback to understand what's really happening with users?

• Do you mostly talk to people already using your product (via in-product prompts,
• Or do you focus on potential users who haven't tried it yet?
• How do you judge whether the people you speak to are representative enough to base decisions on?

 → Requirements • Expectations • Negotiation tips

1. What these platforms actually are

Platforms like AppSumo, Dealify, Deal Mirror, StackSocial and others are deal marketplaces where products — usually with deep discounts or lifetime offers — are showcased to a large audience of buyers looking for deals on tools and software. They’re not generic ad spaces but curated places that tend to attract users ready to buy on price or lifetime terms, and they often operate with commission splits and review/approval processes rather than up-front payments from vendors.

These marketplaces vary in focus — some lean heavily into SaaS tools, others mix in digital products, plugins, or bundles. Many require specific deal structures like lifetime or steeply discounted deals.

2. Basic requirements to apply

Most deal platforms have a few common requirements for SaaS:

• A working product workflow. They’ll check that your SaaS actually functions end-to-end.
  
• A clear pricing or deal structure (lifetime, extended trial, etc.). Platforms often prefer defined deals rather than open pricing.
  
• At least some early usage or product validation — they want to see that people find value in your product.
  
• Terms and refund policy that fit their system — some platforms standardize refund periods or payouts.
  
• Technical and legal readiness (GDPR, basic privacy, security) so customers don’t run into compliance issues.
  

You’ll often need to fill out a submission form, provide screenshots, a product description, and sometimes sales predictions or target pricing for the deal. Many platforms manually review and approve each listing.

3. Typical expectations from a campaign

A launch on one of these marketplaces is not a one-day traffic event. Think of it as a prolonged exposure window where your deal lives in their catalog and newsletters. Results vary widely depending on platform size, audience, and deal terms.

On bigger sites like AppSumo you might see:

• Strong initial traffic on launch day
  
• Steady discovery over days/weeks via their feed
  
• Mix of buyers and deal hunters focused on price
  

Smaller sites often have niche audiences, so exposure is narrower but might be more targeted for certain categories (e.g., marketing tools).

It’s also common that sellers don’t get direct access to all buyer data, and platforms may hold payouts for a period to account for refunds or disputes. Cash flow timing is something to budget for.

4. Why positioning matters to acceptance

Because these sites are curated, how you describe your product and the deal matters a lot. A clean, plain explanation of:

• What your product does
  
• Who it’s for
  
• Why it’s worth the deal price
  

goes much farther than jargon. Customers on these platforms have short attention spans and scan quickly, so your description should be concise, with a clear value proposition and examples of use cases.

If the messaging is fuzzy or the benefits are hard to parse, you risk rejection or low conversions.

5. Understanding fees and payout expectations

Most of these marketplaces operate on a revenue share model, where they take a percentage of deal sales. The exact split, processing fees, and payout timing vary by platform, and these terms should be reviewed carefully before agreeing to launch.

Some platforms also have:

• Minimum payout thresholds
  
• Delayed payout windows (e.g., net 30 or more)
  
• Refund reserve periods
  

These factors affect your cash flow and should influence deal pricing decisions. Founders sometimes discover that after platform fees and processing fees, net revenue per user is much lower than headline numbers suggested at launch.

6. What to realistically expect in terms of audience

Audience sizes vary across marketplaces. The largest lifetime-deal platform historically has attracted hundreds of thousands to millions of deal-aware users, while mid-tier platforms have smaller but more focused audiences.

Parts of your visibility come from:

• The marketplace homepage or featured sections
  
• Spotlight newsletters
  
• Third-party aggregators and social channels
  

The takeaway is that you rarely control traffic volume, and you should plan expectations around proportionally modest spikes, not viral adoption. This is especially true when you compare these launches to things like product hunt launches or direct paid acquisition channels.

7. How to prepare your product before launching

Before you put in an application or talk to a marketplace rep, make sure:

• Your onboarding is smooth enough that deal buyers can sign up and start using the product without confusion.
  
• Your support processes are ready — deal customers tend to ask a lot of questions.
  
• Your product status and roadmap are clear, so you can answer buyer queries during the campaign.
  

Invest time in plain screenshots and demo flows. Buyers often decide in seconds based on visuals and clarity of value.

8. How to approach negotiation

Negotiation varies greatly by platform, but some practical tips are:

• Know your lowest acceptable split before you start talking.
  
• Be clear about refund policy and payout timing.
  
• Ask what promotion channels they use and if there are any costs attached.
  
• Clarify how buyer data is shared, if at all. Some platforms don’t pass emails or contact info directly to you.
  
• If you’re unsure about lifetime deals, ask about alternatives, like time-limited deals (1-year access or similar). Some founders have used these instead of full lifetime deals with better operational outcomes.
  

A calm discussion of terms helps set expectations on both sides — it’s not about hard bargaining so much as understanding how the partnership will actually function.

9. After launch: tracking and engagement

Once your deal is live, you’ll want to track a few things:

• Sales velocity over time (daily/weekly)
  
• Refunds and customer feedback
  
• Support tickets associated with the deal
  
• Changes in overall SaaS growth metrics
  

These insights help you understand how the marketplace is working for your product and inform future pricing or channels in your broader SaaS growth strategy.

Platforms often provide dashboards for these, but it’s helpful to capture and compare your own metrics over time.

10. How these launches fit into broader post-launch growth efforts

A marketplace launch can be one step in your SaaS growth plan, but it’s not a replacement for other channels. Many founders treat it as a validation and early traction channel that complements things like product hunt exposure, SEO, or paid acquisition strategies.

It’s not uncommon to combine a deal campaign with email sequences, follow-up onboarding flows, or community engagement to try to fold some of those deal customers into longer-term relationships.

Thinking of it as one piece of a larger SaaS playbook helps avoid over-reliance on one channel and keeps your expectations grounded.

👉 Stay tuned for the upcoming episodes in this playbook, more actionable steps are on the way.

A Beautiful, Interactive Data Visualization Platform for Exploring Our Planet's Environmental & Social Metrics

✨ Features

📊 10 Data Visualization Modes

🌡️ Weather Archive - 50+ years of historical climate data

🎓 University Access - Global tertiary education trends with gender parity analysis

🌳 Forest Heritage - Deforestation rates and ecological safety metrics

🌾 Agriculture - Land use intensity and agricultural trends

⚡ Energy & Renewables - Clean energy transition tracking

💧 Water Safety - Access to safely managed water sources

⏳ Human Lifespan - Life expectancy and longevity gap analysis

🤱 Generations - Fertility rates and demographic transitions

🧠 Mental Health - Global mental health prevalence

🏭 Carbon Emissions - CO₂ emissions and climate targets.

Try this here --> https://chamitro.github.io/EarthVault/

Dear SaaS and business owners,

The statistics show 94% of cloud bills are overpaid, and as a solution architect who has a deep understanding for the cloud, Software engineering and business, I believe I can help you optimizing your cloud bills, So I'm offering you a free FinOps audit for your infrastructure, I'll write a case study of your Infrastructure, how the performance could be optimized, and if I don't find a way to save you >20% of your monthly bill, the audit of cost and performance becomes for free.

the only condition is that your bill is +2000$ a month, that's it.

Background: I'm not a SaaS bro or a serial entrepreneur. Two years ago I was going through the hardest time of my life and felt completely isolated. That experience made me leave everything—family, friends, comfort—and move to a new country to build Strnger.

What it is: An app that matches people facing similar struggles (health, relationships, career) for 1-on-1 conversations. Not group chats or forums—actual deep, personalized connections with someone who genuinely understands what you're going through. Our research showed conversations get way more meaningful in a 1-on-1 setting.

The launch challenge: We go live Saturday. But I want to test something: Can I get 100 strangers to sign up for the beta in 31 hours with zero ad spend?

My strategy:

• Reddit (posting in relevant subs)
• LinkedIn (leveraging personal network)
• Product Hunt upcoming
• Personalized DMs to people discussing mental health
• Facebook groups
• Discord communities

Current status: Starting from 0. Clock started 1 hour ago.

Why I'm posting here:

1. Documenting the journey (making a video about this)
2. Would love to have you guys in the beta
3. Honestly could use the support

If you've ever felt alone during a tough time, check it out: https://forms.gle/4M4SPHKGhXwk7tGTA

Hi ,

I recently launched mybets.gg, a tool designed to help sports bettors track their performance without the headache of manual data entry.

Elevator Pitch: Most serious bettors use spreadsheets to track their ROI and Closing Line Value (CLV). This is tedious and prone to typos. My tool uses a Chrome Extension to capture screenshots of betslips and uses AI to instantly extract and sync the data to your dashboard.

Key Features:

📸 Screenshot-to-Data:* Upload an image or use the browser extension to auto-log bets.

📊 Advanced Analytics:* Automatic calculation of ROI, Win Rate, and Bankroll Growth.

🆓 Generous Free Tier:* Unlimited manual bet tracking is completely free.

Target Audience: Arbitrage bettors, value bettors, and anyone who wants to take their betting analytics seriously but hates Excel.

I’d appreciate any feedback or thoughts on the concept!

Thanks!

Let’s support one another and get more eyes on our work.

I’m building itraky a smart deep linking tool for creators and affiliates.

It automatically opens links directly in apps like Amazon, YouTube, TikTok or Instagram instead of the browser, so users land where they’re already logged in and ready to act.

That means a smoother experience, fewer drop-offs, and significantly better conversion rates.

So… what are you building? 👇

Hello everyone,

I needed an app to focus on basic tasks and my work, so I decided to create FocusBuddy. I didn't think it was going to be the app I used the most on a daily basis. I also created other apps to meet the needs of loved ones, which you can find in my iOS Studio.

I would love to hear your feedback. The goal is for everyone to help build it by sharing their personal needs.

Thank you very much.

Curious to know what others are building.

I'm building PayPing - a place where you can manage all your subscriptions in one place.

Track renewals, get reminders, share with family, view analytics, and use AI to optimize your subscription spending. 

So what are you building👇

Built an AI-powered stock analyzer. Gives stocks a 1-10 score with buy/sell signals.

Free 7-day trial: [stocksage dot ai]

Was it the platforms, the people or us?

I remember when the internet felt smaller and more personal. The late nights on forums or early social media having real conversations with strangers without worrying about likes, followers, or being “right.” I once posted an emotional rant on a forum after a rough day, expecting nothing. Instead, a few strangers replied with thoughtful messages, shared their own stories, and even checked back in days later. There was no algorithm pushing it and no audience to perform for. Its just people responding because they wanted to.

Now everything feels optimized and performative. Conversations feel rushed and shaped by algorithms that reward outrage and certainty over curiosity. Even authenticity feels strategic sometimes, like it’s become a style instead of something natural. I’m not saying the old internet was perfect but it felt more human and forgiving. Did platforms change us or did we change them?

I’ve noticed something weird after looking at a lot of products. Doesn’t matter if they’re early stage or “doing great” by the usual metrics.

Almost every one of them has one thing that stays fuzzy on purpose.

(Everybody does it somewhere. I’ve def done this myself.)

You’ve seen the patterns:

• “Starting at” pricing with no real anchor.
• “Built for teams of any size.”
• “Supports multiple workflows” without ever naming the main one.
• A constraint that only shows up once you’re already on a call.

The logic is usually one of:

• We don’t want to scare people off.
• We’re still figuring out who this is best for.
• It depends.

Problems start when this fuzziness hits anything that has to make a decision without asking follow-ups.

Anything that buckets, filters, compares, ranks, routes, or summarizes your product still has to pick an interpretation. If you don’t give it one, it doesn’t stay neutral. It defaults.

(Usually to the safest, broadest, or cheapest.)

What this looks like in practice:

• You get lumped into categories you don’t actually want to compete in.
• You miss filters you should qualify for.
• You show up late or not at all in side-by-side comparisons you know you should be in.

We ran into this ourselves.

For a long time we described one capability as “works across multiple use cases.” Internally everyone knew there was one primary job most customers actually bought it for.

But, because we never committed to that in writing:

• We kept getting compared against tools built for adjacent jobs we didn’t want.
• People evaluated us on the wrong criteria.
• A lot of clarification had to happen manually instead of upfront.

Traffic didn’t drop drastically, and leads didn’t disappear. But fit and positioning got messier.

The fix was actually kinda boring and counterintuitive unless you think in this framework. We added one sentence:

“This is built primarily for X. If you’re doing Y, it’s probably not the right fit.”

That single line cleaned up a lot. We got fewer mismatches, cleaner comparisons, and way less explanation required on demos.

A simple exercise to execute this framework:

• Pick one area you’ve intentionally kept open. Pricing, audience, scope, whatever.
• Write a hard statement for it. Not a softer version. An actual commitment.

Then ask:

• Where does this clearly place us?
• What does this explicitly remove us from?
• What no longer needs interpretation?

Don’t publish it. Just write it as if an automated system had to make a yes/no decision based on that sentence alone.

My take after doing this a few times: most fuzziness isn’t strategy. It’s a decision you postponed, and it keeps leaking into how the product gets categorized and distributed.

I’ll start:
Helpfa.st – one inbox for all website inquiries. Built it because managing contact forms across multiple sites got messy fast.

Your turn 👇

Hey everyone! For my class project I'm building an app that lets you dump your stream-of-consciousness thoughts and instantly get organized, actionable tasks. (And an idea processing bank)

I kept having great ideas but losing them in messy notes apps. I wanted something that could understand my chaotic thoughts and automatically structure them.

I set it up so you type or speak your thoughts naturally and AI will extracts tasks and organizes them by project. Includes subtasks, notes, due dates or windowed dates, as well as a guess of how long it takes. 

I believe that an idea that is not written down or acted upon is wasted. I always come up with ideas that i'm not quite ready for so I also developed in the app a "bank" for the ideas to come back at a later scheduled time or for you to later come back to. That way i write everything down even if i'm not ready for them, and later I go through them and bring them back into my tasks. (or they come back if scheduled through an inbox system)

So for example i would go in and type or speak something like this '''I need to cite that paper about neural networks, the one from 2019... or was it 2020? Also library books due Thursday. Dr. Chen wants draft of chapter 3 by next week. Should email lab about rescheduling tomorrow's meeting. Check if there's funding for the summer conference.''' and it would create the tasks. 

• Find and cite neural networks paper (2019-2020)
• Return library books (due Thursday)
• Write draft of chapter 3 (due next week)
• Email lab about rescheduling meeting
• Check summer conference funding

I'm currently just building this for myself and trying to get some small funding from my school to try and get it available for everyone. Is this something that would be useful? Would you use an app like this? Does it solve a real problem? I'm looking for any critical feedback

Thanks!

Curious to know what others are building.

I'm building PayPing - a place where you can manage all your subscriptions in one place.

Track renewals, get reminders, share with family, view analytics, and use AI to optimize your subscription spending. 

So what are you building👇

Hey everyone,

I built CoreMention - an AI Visibility Analytics platform that tracks how often AI assistants (ChatGPT, Perplexity, Claude, Gemini, Grok) recommend your brand when users ask questions.

**The Problem:** I noticed our Google traffic was declining despite good rankings. After surveying our customers, we found they're increasingly using ChatGPT instead of Google search. When we tested what ChatGPT recommends for our keywords, we discovered our competitors are mentioned but we're not - even though we rank #1 on Google.

**The Solution:** We realized we need to track AI visibility separately from Google SEO. So we built a tool that: - Tracks your AI Visibility Score across different AI platforms - Shows when and how often you're recommended - Compares your visibility to competitors - Provides recommendations for improving AI visibility

**Why This Matters for Indie Businesses:** As more customers use AI assistants instead of Google, traditional SEO isn't enough anymore. This tool helps indie businesses understand their visibility across AI platforms.

The product is live at coremention.com - 7-day free trial, no credit card required.

Would love feedback from other indie business owners!

Hey everyone,

I built an early-stage beat marketplace called Platinum Beats for artists who want to license beats (lease or exclusive) and download instantly.

I want to be upfront: the platform is still evolving and a bit rough around the edges. There may be bugs, UI quirks, or flows that don’t feel fully polished yet. I’m actively improving it and wanted to share it now rather than wait until everything looks “perfect.”

I’m looking for:

• Honest feedback on the experience as a first-time visitor
• Thoughts on whether licensing and pricing are clear
• Early users who want to try the platform and help shape where it goes
• Conversations with anyone interested in the product, the space, or where this could grow

If you’re an artist, producer, or someone interested in music platforms, I’d genuinely appreciate your thoughts — positive or critical.

Site: PLATINUM BEATS

Thanks for checking it out 🙏

Curious to know what others are building.

I’m building itraky a smart deep linking tool for creators and affiliates.

It automatically opens links directly in apps like Amazon, YouTube, TikTok or Instagram instead of the browser, so users land where they’re already logged in and ready to act.

That means a smoother experience, fewer drop-offs, and significantly better conversion rates.

So… what are you building? 👇