DiscountHub

Congrats, take all the small wins you can. They will add up to something great. Keep up the work.

Congratulations on your launch and on being the number 1 product on peer push.

Your second question answers the other two. "Which channels bring real users not impressions" is the whole game, and there's a mismatch: PeerPush, Product Hunt, IH are full of makers, not people hunting deals. A deals site on maker platforms reaches people who upvote you and never use you.

Your actual users are deal-seekers, gathering elsewhere: coupon subreddits, Telegram deal channels (huge in the .uz/CIS region), bargain Facebook groups. One post in an active deals Telegram beats ten maker-platform launches, everyone there is already in buying mode.

Honest answer to "grow through launches": not much for a deals product. Launches are for maker tools. Grow where people already ask "is there a promo code for X."

Where do deal-hunters in your market gather, Telegram or somewhere else?

Congratulations on the launch! Really interesting. How do you deal with expired coupons/deals ? Do you track that ?

Congratulations on the launch on PeerPush! Navigating different launch platforms is always a great learning experience. I'm checking out DiscountHub now!

A launch-day spike on PeerPush is easy to get; the hard part with a deals site is that stale or expired discounts kill trust on the second visit. What's your process for verifying and expiring offers, and are you tracking week-two return visits rather than just launch-day votes?

I'm really wondering how technically you can get these discounts? Do you have any kind of partnerships with these perks?

You already answered your own question in your Aug 6 post: 537 outbound clicks is the metric, and launch platforms rarely beat search for a deals product because nobody browsing PeerPush is trying to buy a laptop today. Launches recruit founders, search and creators recruit shoppers, so I'd judge today's race on one number: outbound clicks per PeerPush visitor versus your organic baseline. If it comes back a fraction, that tells you where next month goes.

Looks good but sadly products not available in Portugal

Keep up the good work 👍

This comment was deleted 9 days ago

537 outbound clicks in 20 days is a solid signal. Tracking these small actions early helps you see if the product is actually useful.

537 outbound clicks on no budget is a real signal, the click is the moment of intent so it's the right thing to track early. Two things I'd layer on next. Your partner offers (47) probably convert very differently from promo codes (151), so the click-to-purchase split matters more than the total. And the bigger one: with no marketing budget, where are these 537 people actually coming from? If it's one repeatable channel, that's the real story worth doubling down on. What's driving the traffic right now?

537 outbound clicks in just 20 days is a solid early signal, especially for a project without a large marketing budget. The breakdown is interesting too, with product discounts driving the majority of clicks. Tracking outbound actions like this seems much more useful than relying only on page views because it shows actual user intent. Hopefully the trend continues as the site grows.

537 outbound clicks in 20 days without a big marketing budget is a solid early validation. I like that you’re measuring actual user actions instead of vanity metrics. Keep building! 🚀

Congrats on the milestone! 🚀

Getting the first 10k pageviews is a huge validation that people are finding the product.

The interesting next stage is usually not “how do we get more traffic?” but “how do we make sure the traffic we already earned understands the value fast enough to take action?”

A lot of SaaS/products lose conversions in those first few seconds because the message doesn't connect the visitor’s problem with the solution.

Excited to see how DiscountHub grows from here.

Really like the idea. The biggest challenge with discount platforms is keeping offers fresh and trustworthy. How are you handling expired codes or region-specific deals? A “worked for me” vote and a last-verified timestamp could become a strong trust signal.

Congrats on crossing 10k pageviews — that's a great signal that people are discovering DiscountHub.

The next interesting challenge is exactly what you mentioned: turning visitors into returning users.

A lot of platforms get the first click right but lose people because the homepage doesn't immediately answer:

• Why should I come back tomorrow?

• What makes this better than searching discounts myself?

• What habit or value keeps me returning?

For a product like this, the messaging around the AI shopping assistant and personalized deal discovery could become the difference between a one-time search and a repeat user behavior.

Would be interesting to see how you experiment with that next.

10,000 pageviews is a useful milestone, but I would now define one activation event for each visitor: saving a deal, opening a merchant offer, or completing an AI search that returns a usable result. Then compare seven-day return rate and activation rate by acquisition source, while filtering obvious crawler traffic from the Cloudflare total. That will reveal whether growth came from a repeatable channel or one unusually successful post. The metric that usually feels like real traction to me is a cohort returning without another promotional push.

nice jump. curious what channel drove most of that traffic, paid or organic? trying to figure out which acquisition channels actually convert to usage is the hard part imo

Congrats for reaching this target! Is an huge amount of visit

Congratulations

10K pageviews from pure organic distribution is a meaningful channel signal. The harder question is what those visitors were actually doing when they arrived.

For a discount product, the returning-user trigger is almost never 'I want to browse deals' — it's 'I'm about to buy something and I want to check for a code first.' That's point-in-time purchase intent, which means retention needs to meet users at the decision moment, not at the browsing one. Being visible in commercial-intent search results (e.g. 'brand + promo code' queries) tends to compound better than trying to build a browsing habit.

Your 537 outbound clicks from the other post is the more interesting number — that's a 5.37% outbound rate on the 10K pageviews, which tells you the offer matching is working. The jump I'd focus on now is what percentage of those clicks completed a purchase. Revenue per outbound click tells you whether you have a tracking gap or a conversion gap. Those are completely different problems with completely different fixes.

Congrats on reaching 10,000 pageviews! Which acquisition channel brought you the most valuable visitors, and what helped you get your first users?

Congrats! 🎉 10k pageviews is definitely a nice milestone, especially for an early product.

I really like that you’re focusing on returning users rather than treating traffic alone as traction. That’s something I’m thinking about a lot with my own SaaS too.

Congrats on hitting 10k monthly pageviews! Was most of the growth organic, or did one particular channel make the biggest difference?

Congrats.Hit 10k pageviews in a month is a massive milestone—that psychological shift from building in a vacuum to seeing real baseline traffic changes everything. The transition from raw traffic to retention and finding which acquisition channels actually bring active, sticky users is definitely the toughest next phase, but keeping the focus locked on turning those views into returning users is spot on. Great work, MasterBek!

Nice milestone. I like that you’re focusing on retention next. Traffic is easy to celebrate, but repeat usage is where the real product feedback comes from.

537 clicks in 20 days is a solid early validation signal. I’d be curious to see how conversion rates differ between deals, promo codes, and partner offers. That could reveal which type drives not just clicks, but actual purchases and revenue. Great progress!

Congrats man! 10k in a month is huge 👏

Quick question - what traffic source worked best for you?

I'm building free AI tools for founders and struggling to get Tier-1 traffic.

Was it SEO, Reddit, or something else?

Nice progress! Consistent click-throughs are a great sign that users are finding value. Keep testing and optimizing to improve conversions over time.

Solid numbers! 537 clicks in 20 days is a great sign people actually want the deals you're surfacing.

Damn nice going!

Would genuinely love to hear what you plan to do to retain and convert these users?

That's awesome! Congrats!

Congratulations on reaching 10,000 monthly pageviews! That's a great milestone. Wishing you continued growth and success as you focus on increasing user retention and conversions.

Congrats!

Pageviews were never the metric for an affiliate business, and you already found the real one in your other post: 537 outbound clicks. The number that tells you whether this works is revenue per outbound click, because at $0 per month you either have a tracking gap with your networks or partners whose offers do not convert, and those are completely different problems with different fixes. Pull your network reporting into the same view as those clicks and you will know which one you have inside a week.

Congratulations!

I like that you’re separating page views from real traction.

Many individuals halt at traffic lights; however, determining which visitors return is where the fun aspect begins.

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"10,000 pageviews in a month is solid — especially for a discount-focused product. I'm building Rallynex and still working toward that kind of reach.

What's your main traffic source? SEO, social, or something else?"

This is an interesting stage to be at. A lot of founders focus heavily on building the product, but distribution and community are usually the hardest parts to solve.

I’m also building a SaaS product and currently experimenting with growth channels like Reddit, outreach and content, so I understand the challenge of turning a product into something people actively discover and use.

I think the combination of a solid product foundation + someone focused on growth can be very powerful.

Curious: what growth channel are you currently seeing the most potential from for DiscountHub — SEO, creators, communities, or partnerships?

Solo founder here too — launched today after building everything alone.

One thing I'd add to the 90-day trial advice: be very specific about what "growth" means before you start. In consumer products it's easy to confuse content output with actual user acquisition.

For what it's worth — I've found that being extremely clear about the ICP (ideal customer profile) upfront saves a lot of co-founder friction later. Deals/coupons has a very specific user: deal-hunters who share finds. If your co-founder candidate doesn't naturally live in that world, no amount of equity will make them effective.

Good luck with the search!

Try advertising your product than co founder

This is kind of an obvious website but, have you looked into the website "Startup School" it has a co-founder matching system that links founders and co-founders alike, tailored to your own profile and needs.

Hello, I’m a software engineer interested in building AI-powered SaaS products. I’m here to learn from other founders and developers, exchange ideas, and connect with people working on interesting projects. Nice to meet you!

Finding the right co-founder post-launch is honestly harder than building the product for a lot of solo founders. Are you looking for someone who's more growth-marketing focused, or someone with a network/distribution advantage in your specific niche?

Before you give anyone the co-founder title, run a 90-day paid trial with one metric attached: weekly active shoppers or activated referrals, not content output. I have backed enough two-founder teams at Henson Venture Partners to know the split fails more often over pace than equity. The trial tells you both things at once, whether they can grow it and whether you can stand working together.

Respect for being clear that this is ownership, not a content freelancer gig. A lot of these posts blur that line.

One thing that might help the right people reply: what traction do you already have without a growth co-founder? Even rough numbers (users, deals claimed, partners live, retention) make it easier to judge whether the hard part is distribution or product-market fit.

Also worth stating upfront how you think about equity and time (full-time vs side, vesting, decision rights on growth spend). Serious growth people usually want that before a long call.

For deals/coupons specifically, the co-founder who already has a US/UK audience or affiliate relationships will probably move faster than a pure performance marketer starting from zero. The catalogue is the easy part. Trust and habit are the product.

If I hear of someone in that niche I will point them your way. Good luck finding a partner who wants the long game.

"The hardest part of what you're describing isn't finding someone with the skills — it's finding someone who genuinely gets deal-seeker psychology. The trust gap between 'here's a code' and 'I always check this site first' is massive. What's been your biggest surprise about how users actually discover and share deals so far?"

We run into this constantly with automation at SocialPost.ai, and the rule we landed on is the one you found: destructive actions require positive confirmation, everything else can be inferred. The two-consecutive-checks pattern is right, but add an asymmetry: expiring an offer late costs you a little embarrassment, expiring it early costs a partner relationship, so route ambiguous signals to a human review queue instead of a default action. Twenty years of running managed IT taught me that monitoring is the easy part, knowing when not to act is the hard part.

This is exactly the kind of "quiet" bug that costs real money — the automation did what it was told, just not what you meant. The two-consecutive-confirmations fix is the right instinct. We've run into the same class of problem watching for buried signals in messy, unstructured text (emails/conversations in our case) — keyword matching alone always eventually mistakes context for content. Requiring corroboration before acting is the only thing that scales safely. Good writeup.

Hey 👋🏻

Nikola from StatusPage.me here ☺️

What I'd suggest here is that you build some API endpoint for partners, specifically for updating the seat-based deals. This would eliminate any scrapping faults.

E.g., whenever any LTD gets sold, we could hit the endpoint and decrease the available spots.

Auth? API key, the simplest method, I guess.

Im very new to this and something like this is definitely good for someone like me to know. Really appreciate the info!

Nice man

Nice man

Great breakdown! I've been building an AI SEO tool and going through the same journey. The cold email game is tough — I sent 80 and got 0 replies so far. How long did it take you to see your first response?

Ye lo ek genuine comment jo is post pe fit baithega:

Great catch on the false-positive issue, this is a classic problem with scraping/keyword-based automation. We ran into something similar building an image-based workflow: relying on any single signal (text match, in your case) without cross-verification is risky because context gets ignored. Your fix of requiring two consecutive confirmations before acting is smart basically adding a debounce layer to avoid a single bad read causing real damage. For availability-based expiration specifically, have you considered also tracking the rate of licenses sold (e.g last 3 checks) as a sanity check? If the counter suddenly jumps from 69 to 0 in one check, that itself could be a signal to flag for manual review rather than auto-trusting it.

This is the exact same lesson we hit building CancelKit's save-offer logic — trusting a single signal (a webhook event) to flip a customer's state was our first version too, and it burned us with out-of-order webhook deliveries. We ended up requiring a monotonic timestamp guard before accepting any status change — same idea as your two-consecutive-confirmations rule. Automation should be paranoid about false positives, not just the happy path.

Two consecutive confirmations can still repeat the same parser bug after a layout change. I would require two different signals before auto-closing: the scoped counter reaches zero and the claim action disappears, while any selector drift routes to manual review. Consecutive reads catch transient failures; independent signals catch systematic ones.